Articles | Volume 23, issue 7
https://doi.org/10.5194/nhess-23-2419-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-23-2419-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Jul 2023
Research article |
| 06 Jul 2023
| 06 Jul 2023
Indicator-to-impact links to help improve agricultural drought preparedness in Thailand
UK Centre for Ecology & Hydrology (UKCEH), Wallingford, United
Kingdom
Michael Eastman
UK Centre for Ecology & Hydrology (UKCEH), Wallingford, United
Kingdom
Met Office, Exeter, United Kingdom
Eugene Magee
UK Centre for Ecology & Hydrology (UKCEH), Wallingford, United
Kingdom
Lucy J. Barker
UK Centre for Ecology & Hydrology (UKCEH), Wallingford, United
Kingdom
Thomas Chitson
UK Centre for Ecology & Hydrology (UKCEH), Wallingford, United
Kingdom
Chaiwat Ekkawatpanit
Department of Civil Engineering, King Mongkut's University of
Technology Thonburi, Bangkok, Thailand
Daniel Goodwin
School of Social Sciences, University of Tasmania, Hobart, Australia
School of Water, Energy and Environment, Cranfield University, Cranfield, United Kingdom
Jamie Hannaford
UK Centre for Ecology & Hydrology (UKCEH), Wallingford, United
Kingdom
Irish Climate Analysis and Research UnitS (ICARUS), Maynooth
University, Maynooth, Ireland
Ian Holman
School of Water, Energy and Environment, Cranfield University, Cranfield, United Kingdom
Liwa Pardthaisong
Department of Geography, Faculty of Social Sciences, Chiang Mai
University, Chiang Mai, Thailand
Simon Parry
UK Centre for Ecology & Hydrology (UKCEH), Wallingford, United
Kingdom
Dolores Rey Vicario
School of Water, Energy and Environment, Cranfield University, Cranfield, United Kingdom
Supattra Visessri
Department of Water Resources Engineering, Faculty of Engineering,
Chulalongkorn University, Bangkok, Thailand
Disaster and Risk Management Information Systems Research Unit,
Chulalongkorn University, Bangkok, Thailand
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Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-179, https://doi.org/10.5194/hess-2024-179, 2024
Preprint under review for HESS
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Our research compares two techniques, Bias-Correction (BC) and Data Assimilation (DA), for improving river flow forecasts across 316 UK catchments. BC, which corrects errors post-simulation, showed broad improvements, while DA, adjusting model states pre-forecast, excelled in specific conditions like snowmelt and high base flows. Each method's unique strengths suit different scenarios. These insights can enhance forecasting systems, offering reliable and user-friendly hydrological predictions.
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William Rust, John P. Bloomfield, Mark Cuthbert, Ron Corstanje, and Ian Holman
Hydrol. Earth Syst. Sci., 26, 2449–2467, https://doi.org/10.5194/hess-26-2449-2022, https://doi.org/10.5194/hess-26-2449-2022, 2022
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We highlight the importance of the North Atlantic Oscillation in controlling droughts in the UK. Specifically, multi-year cycles in the NAO are shown to influence the frequency of droughts and this influence changes considerably over time. We show that the influence of these varying controls is similar to the projected effects of climate change on water resources. We also show that these time-varying behaviours have important implications for water resource forecasts used for drought planning.
William Rust, Mark Cuthbert, John Bloomfield, Ron Corstanje, Nicholas Howden, and Ian Holman
Hydrol. Earth Syst. Sci., 25, 2223–2237, https://doi.org/10.5194/hess-25-2223-2021, https://doi.org/10.5194/hess-25-2223-2021, 2021
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In this paper, we find evidence for the cyclical behaviour (on a 7-year basis) in UK streamflow records that match the main cycle of the North Atlantic Oscillation. Furthermore, we find that the strength of these 7-year cycles in streamflow is dependent on proportional contributions from groundwater and the response times of the underlying groundwater systems. This may allow for improvements to water management practices through better understanding of long-term streamflow behaviour.
Calum Brown, Ian Holman, and Mark Rounsevell
Earth Syst. Dynam., 12, 211–231, https://doi.org/10.5194/esd-12-211-2021, https://doi.org/10.5194/esd-12-211-2021, 2021
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The variety of human and natural processes in the land system can be modelled in many different ways. However, little is known about how and why basic model assumptions affect model results. We compared two models that represent land use in completely distinct ways and found several results that differed greatly. We identify the main assumptions that caused these differences and therefore key issues that need to be addressed for more robust model development.
Gemma Coxon, Nans Addor, John P. Bloomfield, Jim Freer, Matt Fry, Jamie Hannaford, Nicholas J. K. Howden, Rosanna Lane, Melinda Lewis, Emma L. Robinson, Thorsten Wagener, and Ross Woods
Earth Syst. Sci. Data, 12, 2459–2483, https://doi.org/10.5194/essd-12-2459-2020, https://doi.org/10.5194/essd-12-2459-2020, 2020
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Lucy J. Barker, Jamie Hannaford, and Miaomiao Ma
Proc. IAHS, 383, 273–279, https://doi.org/10.5194/piahs-383-273-2020, https://doi.org/10.5194/piahs-383-273-2020, 2020
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Drought monitoring and early warning are critical aspects of drought preparedness and can help mitigate impacts on society and the environment. We reviewed academic literature in England and Chinese on the topic of drought monitoring and early warning in China. The number of papers on this topic has increased substantially but the most recent advances have not been operationalised. We identify the methods that can be translated from the experimental to national, operational systems.
Miaomiao Ma, Juan Lv, Zhicheng Su, Jamie Hannaford, Hongquan Sun, Yanping Qu, Zikang Xing, Lucy Barker, and Yaxu Wang
Proc. IAHS, 383, 267–272, https://doi.org/10.5194/piahs-383-267-2020, https://doi.org/10.5194/piahs-383-267-2020, 2020
Kerstin Stahl, Jean-Philippe Vidal, Jamie Hannaford, Erik Tijdeman, Gregor Laaha, Tobias Gauster, and Lena M. Tallaksen
Proc. IAHS, 383, 291–295, https://doi.org/10.5194/piahs-383-291-2020, https://doi.org/10.5194/piahs-383-291-2020, 2020
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Numerous indices exist for the description of hydrological drought, some are based on absolute thresholds of overall streamflows or water levels and some are based on relative anomalies with respect to the season. This article discusses paradigms and experiences with such index uses in drought monitoring and drought analysis to raise awareness of the different interpretations of drought severity.
Chaiwat Ekkawatpanit, Weerayuth Pratoomchai, Chatchapol Khemngoen, and Patchanok Srivihok
Proc. IAHS, 383, 355–365, https://doi.org/10.5194/piahs-383-355-2020, https://doi.org/10.5194/piahs-383-355-2020, 2020
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Yaxu Wang, Juan Lv, Jamie Hannaford, Yicheng Wang, Hongquan Sun, Lucy J. Barker, Miaomiao Ma, Zhicheng Su, and Michael Eastman
Nat. Hazards Earth Syst. Sci., 20, 889–906, https://doi.org/10.5194/nhess-20-889-2020, https://doi.org/10.5194/nhess-20-889-2020, 2020
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Due to the specific applicability of drought impact indicators, this study identifies which drought indicators are suitable for characterising drought impacts and the contribution of vulnerability factors. The results show that the relationship varies across different drought impacts and cities; some factors have a strong positive correlation with drought vulnerability. This study can support drought planning work and provide background for the indices used in drought monitoring applications.
Lucy J. Barker, Jamie Hannaford, Simon Parry, Katie A. Smith, Maliko Tanguy, and Christel Prudhomme
Hydrol. Earth Syst. Sci., 23, 4583–4602, https://doi.org/10.5194/hess-23-4583-2019, https://doi.org/10.5194/hess-23-4583-2019, 2019
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Katie A. Smith, Lucy J. Barker, Maliko Tanguy, Simon Parry, Shaun Harrigan, Tim P. Legg, Christel Prudhomme, and Jamie Hannaford
Hydrol. Earth Syst. Sci., 23, 3247–3268, https://doi.org/10.5194/hess-23-3247-2019, https://doi.org/10.5194/hess-23-3247-2019, 2019
Short summary
Short summary
This paper describes the multi-objective calibration approach used to create a consistent dataset of reconstructed daily river flow data for 303 catchments in the UK over 1891–2015. The modelled data perform well when compared to observations, including in the timing and the classification of drought events. This method and data will allow for long-term studies of flow trends and past extreme events that have not been previously possible, enabling water managers to better plan for the future.
William Rust, Ian Holman, John Bloomfield, Mark Cuthbert, and Ron Corstanje
Hydrol. Earth Syst. Sci., 23, 3233–3245, https://doi.org/10.5194/hess-23-3233-2019, https://doi.org/10.5194/hess-23-3233-2019, 2019
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We show that major groundwater resources in the UK exhibit strong multi-year cycles, accounting for up to 40 % of total groundwater level variability. By comparing these cycles with recorded widespread groundwater droughts over the past 60 years, we provide evidence that climatic systems (such as the North Atlantic Oscillation) ultimately drive drought-risk periods in UK groundwater. The recursive nature of these drought-risk periods may lead to improved preparedness for future droughts.
Maliko Tanguy, Christel Prudhomme, Katie Smith, and Jamie Hannaford
Earth Syst. Sci. Data, 10, 951–968, https://doi.org/10.5194/essd-10-951-2018, https://doi.org/10.5194/essd-10-951-2018, 2018
Short summary
Short summary
Potential evapotranspiration (PET) is necessary input data for most hydrological models, used to simulate river flows. To reconstruct PET prior to the 1960s, simplified methods are needed because of lack of climate data required for complex methods. We found that the McGuinness–Bordne PET equation, which only needs temperature as input data, works best for the UK provided it is calibrated for local conditions. This method was used to produce a 5 km gridded PET dataset for the UK for 1891–2015.
Shaun Harrigan, Christel Prudhomme, Simon Parry, Katie Smith, and Maliko Tanguy
Hydrol. Earth Syst. Sci., 22, 2023–2039, https://doi.org/10.5194/hess-22-2023-2018, https://doi.org/10.5194/hess-22-2023-2018, 2018
Short summary
Short summary
We benchmarked when and where ensemble streamflow prediction (ESP) is skilful in the UK across a diverse set of 314 catchments. We found ESP was skilful in the majority of catchments across all lead times up to a year ahead, but the degree of skill was strongly conditional on lead time, forecast initialization month, and individual catchment location and storage properties. Results have practical implications for current operational use of the ESP method in the UK.
Erik Tijdeman, Jamie Hannaford, and Kerstin Stahl
Hydrol. Earth Syst. Sci., 22, 1051–1064, https://doi.org/10.5194/hess-22-1051-2018, https://doi.org/10.5194/hess-22-1051-2018, 2018
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In this study, a screening approach was applied on a set of streamflow records for which various human influences are indicated to identify streamflow records that have drought characteristics that deviate from those expected under pristine conditions. Prolonged streamflow drought duration, a weaker correlation between streamflow and precipitation, and changes in streamflow drought occurrence over time were related to human influences such as groundwater abstractions or reservoir operations.
Sophie Bachmair, Cecilia Svensson, Ilaria Prosdocimi, Jamie Hannaford, and Kerstin Stahl
Nat. Hazards Earth Syst. Sci., 17, 1947–1960, https://doi.org/10.5194/nhess-17-1947-2017, https://doi.org/10.5194/nhess-17-1947-2017, 2017
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This study tests the potential for developing empirical
drought impact functionsbased on hydro-meteorological drought indicators as predictors and text-based reports on drought impacts as a surrogate variable for drought damage. We showcase three data-driven modeling approaches and assess the effect of impact report quantification method.
Ron Corstanje, Theresa G. Mercer, Jane R. Rickson, Lynda K. Deeks, Paul Newell-Price, Ian Holman, Cedric Kechavarsi, and Toby W. Waine
Solid Earth, 8, 1003–1016, https://doi.org/10.5194/se-8-1003-2017, https://doi.org/10.5194/se-8-1003-2017, 2017
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This research assessed whether physical soil properties can be used to indicate the quality of British soils in terms of their delivery of ecosystem goods and services. A prioritised list of physical
soil quality indicators(SQIs) were tested for robustness, spatial and temporal variability, and expected rate of change. Seven SQIs were selected: soil packing density, water retention characteristics, aggregate stability, rate of soil erosion, soil depth, soil structure and soil sealing.
Gregor Laaha, Tobias Gauster, Lena M. Tallaksen, Jean-Philippe Vidal, Kerstin Stahl, Christel Prudhomme, Benedikt Heudorfer, Radek Vlnas, Monica Ionita, Henny A. J. Van Lanen, Mary-Jeanne Adler, Laurie Caillouet, Claire Delus, Miriam Fendekova, Sebastien Gailliez, Jamie Hannaford, Daniel Kingston, Anne F. Van Loon, Luis Mediero, Marzena Osuch, Renata Romanowicz, Eric Sauquet, James H. Stagge, and Wai K. Wong
Hydrol. Earth Syst. Sci., 21, 3001–3024, https://doi.org/10.5194/hess-21-3001-2017, https://doi.org/10.5194/hess-21-3001-2017, 2017
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In 2015 large parts of Europe were affected by a drought. In terms of low flow magnitude, a region around the Czech Republic was most affected, with return periods > 100 yr. In terms of deficit volumes, the drought was particularly severe around S. Germany where the event lasted notably long. Meteorological and hydrological events developed differently in space and time. For an assessment of drought impacts on water resources, hydrological data are required in addition to meteorological indices.
Simon Parry, Robert L. Wilby, Christel Prudhomme, and Paul J. Wood
Hydrol. Earth Syst. Sci., 20, 4265–4281, https://doi.org/10.5194/hess-20-4265-2016, https://doi.org/10.5194/hess-20-4265-2016, 2016
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This paper identifies periods of recovery from drought in 52 river flow records from the UK between 1883 and 2013. The approach detects 459 events that vary in space and time. This large dataset allows individual events to be compared with others in the historical record. The ability to objectively appraise contemporary events against the historical record has not previously been possible, and may allow water managers to prepare for a range of outcomes at the end of a drought.
Anne F. Van Loon, Kerstin Stahl, Giuliano Di Baldassarre, Julian Clark, Sally Rangecroft, Niko Wanders, Tom Gleeson, Albert I. J. M. Van Dijk, Lena M. Tallaksen, Jamie Hannaford, Remko Uijlenhoet, Adriaan J. Teuling, David M. Hannah, Justin Sheffield, Mark Svoboda, Boud Verbeiren, Thorsten Wagener, and Henny A. J. Van Lanen
Hydrol. Earth Syst. Sci., 20, 3631–3650, https://doi.org/10.5194/hess-20-3631-2016, https://doi.org/10.5194/hess-20-3631-2016, 2016
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In the Anthropocene, drought cannot be viewed as a natural hazard independent of people. Drought can be alleviated or made worse by human activities and drought impacts are dependent on a myriad of factors. In this paper, we identify research gaps and suggest a framework that will allow us to adequately analyse and manage drought in the Anthropocene. We need to focus on attribution of drought to different drivers, linking drought to its impacts, and feedbacks between drought and society.
S. Bachmair, C. Svensson, J. Hannaford, L. J. Barker, and K. Stahl
Hydrol. Earth Syst. Sci., 20, 2589–2609, https://doi.org/10.5194/hess-20-2589-2016, https://doi.org/10.5194/hess-20-2589-2016, 2016
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To date, there is little empirical evidence as to which indicator best represents drought impact occurrence for any given region and/or sector. We therefore exploited text-based data from the European Drought Impact report Inventory (EDII) to evaluate drought indicators, empirically determine indicator thresholds, and model drought impacts. A quantitative analysis using Germany and the UK as a testbed proved to be a useful tool for objectively appraising drought indicators.
Lucy J. Barker, Jamie Hannaford, Andrew Chiverton, and Cecilia Svensson
Hydrol. Earth Syst. Sci., 20, 2483–2505, https://doi.org/10.5194/hess-20-2483-2016, https://doi.org/10.5194/hess-20-2483-2016, 2016
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Standardised meteorological indicators are widely used in drought monitoring, but applications to hydrological drought are less extensive. Here we assess the utility of standardised indicators for characterising drought duration, severity and propagation in a diverse set of 121 UK catchments. Spatial variations in streamflow drought characteristics reflect differences in drought propagation behaviour that are themselves largely driven by heterogeneity in catchment properties around the UK.
Kerstin Stahl, Irene Kohn, Veit Blauhut, Julia Urquijo, Lucia De Stefano, Vanda Acácio, Susana Dias, James H. Stagge, Lena M. Tallaksen, Eleni Kampragou, Anne F. Van Loon, Lucy J. Barker, Lieke A. Melsen, Carlo Bifulco, Dario Musolino, Alessandro de Carli, Antonio Massarutto, Dionysis Assimacopoulos, and Henny A. J. Van Lanen
Nat. Hazards Earth Syst. Sci., 16, 801–819, https://doi.org/10.5194/nhess-16-801-2016, https://doi.org/10.5194/nhess-16-801-2016, 2016
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Based on the European Drought Impact report Inventory (EDII), the study presents an assessment of the occurrence and diversity of drought impacts across Europe. A unique research database has collected close to 5000 textual drought impact reports from 33 European countries. Consistently, reported impacts have been dominated in number by agriculture and water supply, but were very diverse across other sectors. Data and assessment may help drought policy planning at the international level.
V. D. J. Keller, M. Tanguy, I. Prosdocimi, J. A. Terry, O. Hitt, S. J. Cole, M. Fry, D. G. Morris, and H. Dixon
Earth Syst. Sci. Data, 7, 143–155, https://doi.org/10.5194/essd-7-143-2015, https://doi.org/10.5194/essd-7-143-2015, 2015
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The CEH – Gridded Estimates of Areal Rainfall (CEH–GEAR) dataset contains 1 km gridded estimates of daily and monthly rainfall for Great Britain and Northern Ireland (plus approximately 3000 km2 in the Republic of Ireland) from 1890 to 2012. The rainfall estimates are derived from the Met Office national database of observed precipitation, using a natural neighbour interpolation methodology which includes a normalisation step based on average annual rainfall.
J. Hall, B. Arheimer, G. T. Aronica, A. Bilibashi, M. Boháč, O. Bonacci, M. Borga, P. Burlando, A. Castellarin, G. B. Chirico, P. Claps, K. Fiala, L. Gaál, L. Gorbachova, A. Gül, J. Hannaford, A. Kiss, T. Kjeldsen, S. Kohnová, J. J. Koskela, N. Macdonald, M. Mavrova-Guirguinova, O. Ledvinka, L. Mediero, B. Merz, R. Merz, P. Molnar, A. Montanari, M. Osuch, J. Parajka, R. A. P. Perdigão, I. Radevski, B. Renard, M. Rogger, J. L. Salinas, E. Sauquet, M. Šraj, J. Szolgay, A. Viglione, E. Volpi, D. Wilson, K. Zaimi, and G. Blöschl
Proc. IAHS, 370, 89–95, https://doi.org/10.5194/piahs-370-89-2015, https://doi.org/10.5194/piahs-370-89-2015, 2015
A. Chiverton, J. Hannaford, I. P. Holman, R. Corstanje, C. Prudhomme, T. M. Hess, and J. P. Bloomfield
Hydrol. Earth Syst. Sci., 19, 2395–2408, https://doi.org/10.5194/hess-19-2395-2015, https://doi.org/10.5194/hess-19-2395-2015, 2015
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Current hydrological change detection methods are subject to a host of limitations. This paper develops a new method, temporally shifting variograms (TSVs), which characterises variability in the river flow regime using several parameters, changes in which can then be attributed to precipitation characteristics. We demonstrate the use of the method through application to 94 UK catchments, showing that periods of extremes as well as more subtle changes can be detected.
C. K. Folland, J. Hannaford, J. P. Bloomfield, M. Kendon, C. Svensson, B. P. Marchant, J. Prior, and E. Wallace
Hydrol. Earth Syst. Sci., 19, 2353–2375, https://doi.org/10.5194/hess-19-2353-2015, https://doi.org/10.5194/hess-19-2353-2015, 2015
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The English Lowlands is a heavily populated, water-stressed region, which is vulnerable to long droughts typically associated with dry winters. We conduct a long-term (1910-present) quantitative analysis of precipitation, flow and groundwater droughts for the region, and then review potential climatic drivers. No single driver is dominant, but we demonstrate a physical link between La Nina conditions, winter rainfall and long droughts in the region.
J. Hannaford, G. Buys, K. Stahl, and L. M. Tallaksen
Hydrol. Earth Syst. Sci., 17, 2717–2733, https://doi.org/10.5194/hess-17-2717-2013, https://doi.org/10.5194/hess-17-2717-2013, 2013
Related subject area
Hydrological Hazards
Brief communication: Stay local or go global? On the construction of plausible counterfactual scenarios to assess flash flood hazards
Integrating susceptibility maps of multiple hazards and building exposure distribution: a case study of wildfires and floods for the province of Quang Nam, Vietnam
Tangible and intangible ex post assessment of flood-induced damage to cultural heritage
A multivariate statistical framework for mixed storm types in compound flood analysis
Invited perspectives: safeguarding the usability and credibility of flood hazard and risk assessments
Influence of building collapse on pluvial and fluvial flood inundation of metro stations in central Shanghai
Impact of drought hazards on flow regimes in anthropogenically impacted streams: an isotopic perspective on climate stress
The effect of wildfires on flood risk: a multi-hazard flood risk approach for the Ebro River basin, Spain
Modelling hazards impacting the flow regime in the Hranice Karst due to the proposed Skalička Dam
Spatiotemporal variability of flash floods and their human impacts in the Czech Republic during the 2001–2023 period
Risk of compound flooding substantially increases in the future Mekong River delta
Transferability of machine-learning-based modeling frameworks across flood events for hindcasting maximum river water depths in coastal watersheds
Floods in the Pyrenees: a global view through a regional database
Algorithmically detected rain-on-snow flood events in different climate datasets: a case study of the Susquehanna River basin
Review article: Drought as a continuum – memory effects in interlinked hydrological, ecological, and social systems
Coupling WRF with HEC-HMS and WRF-Hydro for flood forecasting in typical mountainous catchments of northern China
Multi-scale hydraulic graph neural networks for flood modelling
Precursors and pathways: dynamically informed extreme event forecasting demonstrated on the historic Emilia-Romagna 2023 flood
Demonstrating the use of UNSEEN climate data for hydrological applications: case studies for extreme floods and droughts in England
Exploring the use of seasonal forecasts to adapt flood insurance premiums
Are 2D shallow-water solvers fast enough for early flood warning? A comparative assessment on the 2021 Ahr valley flood event
Water depth estimate and flood extent enhancement for satellite-based inundation maps
Probabilistic flood inundation mapping through copula Bayesian multi-modeling of precipitation products
Flood occurrence and impact models for socioeconomic applications over Canada and the United States
Model-based assessment of climate change impact on inland flood risk at the German North Sea coast caused by compounding storm tide and precipitation events
Causes of the exceptionally high number of fatalities in the Ahr valley, Germany, during the 2021 flood
An improved dynamic bidirectional coupled hydrologic–hydrodynamic model for efficient flood inundation prediction
Quantifying hazard resilience by modeling infrastructure recovery as a resource-constrained project scheduling problem
Hydrometeorological controls of and social response to the 22 October 2019 catastrophic flash flood in Catalonia, north-eastern Spain
A downward-counterfactual analysis of flash floods in Germany
Hyper-resolution flood hazard mapping at the national scale
Compound droughts under climate change in Switzerland
Brief communication: SWM – stochastic weather model for precipitation-related hazard assessments using ERA5-Land data
Text mining uncovers the unique dynamics of socio-economic impacts of the 2018–2022 multi-year drought in Germany
The value of multi-source data for improved flood damage modelling with explicit input data uncertainty treatment: INSYDE 2.0
Limited effect of the confluence angle and tributary gradient on Alpine confluence morphodynamics under intense sediment loads
The role of antecedent conditions in translating precipitation events into extreme floods at catchment scale and in a large basin context
Does a convection-permitting regional climate model bring new perspectives on the projection of Mediterranean floods?
Added value of seasonal hindcasts to create UK hydrological drought storylines
Flash flood detection via copula-based intensity–duration–frequency curves: evidence from Jamaica
Seasonal forecasting of local-scale soil moisture droughts with Global BROOK90: a case study of the European drought of 2018
How to mitigate flood events similar to the 1979 catastrophic floods in the lower Tagus
Assessing LISFLOOD-FP with the next-generation digital elevation model FABDEM using household survey and remote sensing data in the Central Highlands of Vietnam
CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment): a new model for geo-hydrological hazard assessment at the basin scale
Current and future rainfall-driven flood risk from hurricanes in Puerto Rico under 1.5 and 2 °C climate change
Using integrated hydrological–hydraulic modelling and global data sources to analyse the February 2023 floods in the Umbeluzi Catchment (Mozambique)
Impact-based flood forecasting in the Greater Horn of Africa
Brief communication: A first hydrological investigation of extreme August 2023 floods in Slovenia, Europe
Multivariate regression trees as an “explainable machine learning” approach to explore relationships between hydroclimatic characteristics and agricultural and hydrological drought severity: case of study Cesar River basin
Post-wildfire sediment source and transport modeling, empirical observations, and applied mitigation: an Arizona USA case study
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 24, 4609–4615, https://doi.org/10.5194/nhess-24-4609-2024, https://doi.org/10.5194/nhess-24-4609-2024, 2024
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Floods have caused significant damage in the past. To prepare for such events, we rely on historical data but face issues due to rare rainfall events, lack of data and climate change. Counterfactuals, or
what ifscenarios, simulate historical rainfall in different locations to estimate flood levels. Our new study refines this by deriving more-plausible local scenarios, using the June 2024 Bavaria flood as a case study. This method could improve preparedness for future floods.
Chinh Luu, Giuseppe Forino, Lynda Yorke, Hang Ha, Quynh Duy Bui, Hanh Hong Tran, Dinh Quoc Nguyen, Hieu Cong Duong, and Matthieu Kervyn
Nat. Hazards Earth Syst. Sci., 24, 4385–4408, https://doi.org/10.5194/nhess-24-4385-2024, https://doi.org/10.5194/nhess-24-4385-2024, 2024
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This study presents a novel and integrated approach to assessing the climate hazards of floods and wildfires. We explore multi-hazard assessment and risk through a machine learning modeling approach. The process includes collecting a database of topography, climate, geology, environment, and building data; developing models for multi-hazard assessment and coding in the Google Earth Engine; and producing credible multi-hazard susceptibility and building exposure maps.
Claudia De Lucia, Michele Amaddii, and Chiara Arrighi
Nat. Hazards Earth Syst. Sci., 24, 4317–4339, https://doi.org/10.5194/nhess-24-4317-2024, https://doi.org/10.5194/nhess-24-4317-2024, 2024
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This work describes the flood damage to cultural heritage (CH) that occurred in September 2022 in central Italy. Datasets related to flood impacts on cultural heritage are rare, and this work aims at highlighting both tangible and intangible aspects and their correlation with physical characteristics of flood (i.e. water depth and flow velocity). The results show that current knowledge and datasets are inadequate for risk assessment of CH.
Pravin Maduwantha, Thomas Wahl, Sara Santamaria-Aguilar, Robert Jane, James F. Booth, Hanbeen Kim, and Gabriele Villarini
Nat. Hazards Earth Syst. Sci., 24, 4091–4107, https://doi.org/10.5194/nhess-24-4091-2024, https://doi.org/10.5194/nhess-24-4091-2024, 2024
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When assessing the likelihood of compound flooding, most studies ignore that it can arise from different storm types with distinct statistical characteristics. Here, we present a new statistical framework that accounts for these differences and shows how neglecting these can impact the likelihood of compound flood potential.
Bruno Merz, Günter Blöschl, Robert Jüpner, Heidi Kreibich, Kai Schröter, and Sergiy Vorogushyn
Nat. Hazards Earth Syst. Sci., 24, 4015–4030, https://doi.org/10.5194/nhess-24-4015-2024, https://doi.org/10.5194/nhess-24-4015-2024, 2024
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Flood risk assessments help us decide how to reduce the risk of flooding. Since these assessments are based on probabilities, it is hard to check their accuracy by comparing them to past data. We suggest a new way to validate these assessments, making sure they are practical for real-life decisions. This approach looks at both the technical details and the real-world situations where decisions are made. We demonstrate its practicality by applying it to flood emergency planning.
Zhi Li, Hanqi Li, Zhibo Zhang, Chaomeng Dai, and Simin Jiang
Nat. Hazards Earth Syst. Sci., 24, 3977–3990, https://doi.org/10.5194/nhess-24-3977-2024, https://doi.org/10.5194/nhess-24-3977-2024, 2024
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This study used advanced computer simulations to investigate how earthquake-induced building collapse affects flooding of the metro stations in Shanghai. Results show that the influences of building collapse on rainfall-driven and river-driven floods are different because these two types of floods have different origination and propagation mechanisms.
Maria Magdalena Warter, Dörthe Tetzlaff, Christian Marx, and Chris Soulsby
Nat. Hazards Earth Syst. Sci., 24, 3907–3924, https://doi.org/10.5194/nhess-24-3907-2024, https://doi.org/10.5194/nhess-24-3907-2024, 2024
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Streams are increasingly impacted by droughts and floods. Still, the amount of water needed for sustainable flows remains unclear and contested. A comparison of two streams in the Berlin–Brandenburg region of northeast Germany, using stable water isotopes, shows strong groundwater dependence with seasonal rainfall contributing to high/low flows. Understanding streamflow variability can help us assess the impacts of climate change on future water resource management.
Samuel Jonson Sutanto, Matthijs Janssen, Mariana Madruga de Brito, and Maria del Pozo Garcia
Nat. Hazards Earth Syst. Sci., 24, 3703–3721, https://doi.org/10.5194/nhess-24-3703-2024, https://doi.org/10.5194/nhess-24-3703-2024, 2024
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A conventional flood risk assessment only evaluates flood hazard in isolation without considering wildfires. This study, therefore, evaluates the effect of wildfires on flood risk, considering both current and future conditions for the Ebro River basin in Spain. Results show that extreme climate change increases the risk of flooding, especially when considering the effect of wildfires, highlighting the importance of adopting a multi-hazard risk management approach.
Miroslav Spano and Jaromir Riha
Nat. Hazards Earth Syst. Sci., 24, 3683–3701, https://doi.org/10.5194/nhess-24-3683-2024, https://doi.org/10.5194/nhess-24-3683-2024, 2024
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The study examines the effects of hydrogeological hazard due to construction of the Skalička Dam near the Hranice Karst on groundwater discharges and water levels in the local karst formations downstream. A simplified pipe model was used to analyze the impact of two dam layouts: lateral and through-flow reservoirs. Results show that the through-flow scheme more significantly influences water levels and the discharge of mineral water, while the lateral layout has only negligible impact.
Rudolf Brázdil, Dominika Faturová, Monika Šulc Michalková, Jan Řehoř, Martin Caletka, and Pavel Zahradníček
Nat. Hazards Earth Syst. Sci., 24, 3663–3682, https://doi.org/10.5194/nhess-24-3663-2024, https://doi.org/10.5194/nhess-24-3663-2024, 2024
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Flash floods belong to natural hazards that can be enhanced in frequency, intensity, and impact during recent climate change. This paper presents a complex analysis of spatiotemporal variability and human impacts (including material damage and fatalities) of flash floods in the Czech Republic for the 2001–2023 period. The analysis generally shows no statistically significant trends in the characteristics analyzed.
Melissa Wood, Ivan D. Haigh, Quan Quan Le, Hung Nghia Nguyen, Hoang Ba Tran, Stephen E. Darby, Robert Marsh, Nikolaos Skliris, and Joël J.-M. Hirschi
Nat. Hazards Earth Syst. Sci., 24, 3627–3649, https://doi.org/10.5194/nhess-24-3627-2024, https://doi.org/10.5194/nhess-24-3627-2024, 2024
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We look at how compound flooding from the combination of river flooding and storm tides (storm surge and astronomical tide) may be changing over time due to climate change, with a case study of the Mekong River delta. We found that future compound flooding has the potential to flood the region more extensively and be longer lasting than compound floods today. This is useful to know because it means managers of deltas such as the Mekong can assess options for improving existing flood defences.
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, and Eunsaem Cho
Nat. Hazards Earth Syst. Sci., 24, 3537–3559, https://doi.org/10.5194/nhess-24-3537-2024, https://doi.org/10.5194/nhess-24-3537-2024, 2024
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Machine learning (ML) algorithms have increasingly received attention for modeling flood events. However, there are concerns about the transferability of these models (their capability in predicting out-of-sample and unseen events). Here, we show that ML models can be transferable for hindcasting maximum river flood depths across extreme events (four hurricanes) in a large coastal watershed (HUC6) when informed by the spatial distribution of pertinent features and underlying physical processes.
María Carmen Llasat, Montserrat Llasat-Botija, Erika Pardo, Raül Marcos-Matamoros, and Marc Lemus-Canovas
Nat. Hazards Earth Syst. Sci., 24, 3423–3443, https://doi.org/10.5194/nhess-24-3423-2024, https://doi.org/10.5194/nhess-24-3423-2024, 2024
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This paper shows the first public and systematic dataset of flood episodes referring to the entire Pyrenees massif, at municipal scale, named PIRAGUA_flood. Of the 181 flood events (1981–2015) that produced 154 fatalities, 36 were transnational, with the eastern part of the massif most affected. Dominant weather types show a southern component flow, with a talweg on the Iberian Peninsula and a depression in the vicinity. A positive and significant trend was found in Nouvelle-Aquitaine.
Colin M. Zarzycki, Benjamin D. Ascher, Alan M. Rhoades, and Rachel R. McCrary
Nat. Hazards Earth Syst. Sci., 24, 3315–3335, https://doi.org/10.5194/nhess-24-3315-2024, https://doi.org/10.5194/nhess-24-3315-2024, 2024
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We developed an automated workflow to detect rain-on-snow events, which cause flooding in the northeastern United States, in climate data. Analyzing the Susquehanna River basin, this technique identified known events affecting river flow. Comparing four gridded datasets revealed variations in event frequency and severity, driven by different snowmelt and runoff estimates. This highlights the need for accurate climate data in flood management and risk prediction for these compound extremes.
Anne F. Van Loon, Sarra Kchouk, Alessia Matanó, Faranak Tootoonchi, Camila Alvarez-Garreton, Khalid E. A. Hassaballah, Minchao Wu, Marthe L. K. Wens, Anastasiya Shyrokaya, Elena Ridolfi, Riccardo Biella, Viorica Nagavciuc, Marlies H. Barendrecht, Ana Bastos, Louise Cavalcante, Franciska T. de Vries, Margaret Garcia, Johanna Mård, Ileen N. Streefkerk, Claudia Teutschbein, Roshanak Tootoonchi, Ruben Weesie, Valentin Aich, Juan P. Boisier, Giuliano Di Baldassarre, Yiheng Du, Mauricio Galleguillos, René Garreaud, Monica Ionita, Sina Khatami, Johanna K. L. Koehler, Charles H. Luce, Shreedhar Maskey, Heidi D. Mendoza, Moses N. Mwangi, Ilias G. Pechlivanidis, Germano G. Ribeiro Neto, Tirthankar Roy, Robert Stefanski, Patricia Trambauer, Elizabeth A. Koebele, Giulia Vico, and Micha Werner
Nat. Hazards Earth Syst. Sci., 24, 3173–3205, https://doi.org/10.5194/nhess-24-3173-2024, https://doi.org/10.5194/nhess-24-3173-2024, 2024
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Drought is a creeping phenomenon but is often still analysed and managed like an isolated event, without taking into account what happened before and after. Here, we review the literature and analyse five cases to discuss how droughts and their impacts develop over time. We find that the responses of hydrological, ecological, and social systems can be classified into four types and that the systems interact. We provide suggestions for further research and monitoring, modelling, and management.
Sheik Umar Jam-Jalloh, Jia Liu, Yicheng Wang, and Yuchen Liu
Nat. Hazards Earth Syst. Sci., 24, 3155–3172, https://doi.org/10.5194/nhess-24-3155-2024, https://doi.org/10.5194/nhess-24-3155-2024, 2024
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Our paper explores improving flood forecasting using advanced weather and hydrological models. By coupling the WRF model with WRF-Hydro and HEC-HMS, we achieved more accurate forecasts. WRF–WRF-Hydro excels for short, intense storms, while WRF–HEC-HMS is better for longer, evenly distributed storms. Our research shows how these models provide insights for adaptive atmospheric–hydrologic systems and aims to boost flood preparedness and response with more reliable, timely predictions.
Roberto Bentivoglio, Elvin Isufi, Sebastiaan Nicolas Jonkman, and Riccardo Taormina
EGUsphere, https://doi.org/10.5194/egusphere-2024-2621, https://doi.org/10.5194/egusphere-2024-2621, 2024
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Deep learning methods are increasingly used as surrogates for spatio-temporal flood models but struggle with generalization and speed. Here, we propose a multi-resolution approach using graph neural networks that predicts dike breach floods across different meshes, topographies, and boundary conditions with high accuracy and up to 1000x speedups. The model also generalizes to larger, more complex case studies with just one additional simulation for fine-tuning.
Joshua Dorrington, Marta Wenta, Federico Grazzini, Linus Magnusson, Frederic Vitart, and Christian M. Grams
Nat. Hazards Earth Syst. Sci., 24, 2995–3012, https://doi.org/10.5194/nhess-24-2995-2024, https://doi.org/10.5194/nhess-24-2995-2024, 2024
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Extreme rainfall is the leading weather-related source of damages in Europe, but it is still difficult to predict on long timescales. A recent example of this was the devastating floods in the Italian region of Emiglia Romagna in May 2023. We present perspectives based on large-scale dynamical information that allows us to better understand and predict such events.
Alison L. Kay, Nick Dunstone, Gillian Kay, Victoria A. Bell, and Jamie Hannaford
Nat. Hazards Earth Syst. Sci., 24, 2953–2970, https://doi.org/10.5194/nhess-24-2953-2024, https://doi.org/10.5194/nhess-24-2953-2024, 2024
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Hydrological hazards affect people and ecosystems, but extremes are not fully understood due to limited observations. A large climate ensemble and simple hydrological model are used to assess unprecedented but plausible floods and droughts. The chain gives extreme flows outside the observed range: summer 2022 ~ 28 % lower and autumn 2023 ~ 42 % higher. Spatial dependence and temporal persistence are analysed. Planning for such events could help water supply resilience and flood risk management.
Viet Dung Nguyen, Jeroen Aerts, Max Tesselaar, Wouter Botzen, Heidi Kreibich, Lorenzo Alfieri, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 24, 2923–2937, https://doi.org/10.5194/nhess-24-2923-2024, https://doi.org/10.5194/nhess-24-2923-2024, 2024
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Our study explored how seasonal flood forecasts could enhance insurance premium accuracy. Insurers traditionally rely on historical data, yet climate fluctuations influence flood risk. We employed a method that predicts seasonal floods to adjust premiums accordingly. Our findings showed significant year-to-year variations in flood risk and premiums, underscoring the importance of adaptability. Despite limitations, this research aids insurers in preparing for evolving risks.
Shahin Khosh Bin Ghomash, Heiko Apel, and Daniel Caviedes-Voullième
Nat. Hazards Earth Syst. Sci., 24, 2857–2874, https://doi.org/10.5194/nhess-24-2857-2024, https://doi.org/10.5194/nhess-24-2857-2024, 2024
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Early warning is essential to minimise the impact of flash floods. We explore the use of highly detailed flood models to simulate the 2021 flood event in the lower Ahr valley (Germany). Using very high-resolution models resolving individual streets and buildings, we produce detailed, quantitative, and actionable information for early flood warning systems. Using state-of-the-art computational technology, these models can guarantee very fast forecasts which allow for sufficient time to respond.
Andrea Betterle and Peter Salamon
Nat. Hazards Earth Syst. Sci., 24, 2817–2836, https://doi.org/10.5194/nhess-24-2817-2024, https://doi.org/10.5194/nhess-24-2817-2024, 2024
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The study proposes a new framework, named FLEXTH, to estimate flood water depth and improve satellite-based flood monitoring using topographical data. FLEXTH is readily available as a computer code, offering a practical and scalable solution for estimating flood depth quickly and systematically over large areas. The methodology can reduce the impacts of floods and enhance emergency response efforts, particularly where resources are limited.
Francisco Javier Gomez, Keighobad Jafarzadegan, Hamed Moftakhari, and Hamid Moradkhani
Nat. Hazards Earth Syst. Sci., 24, 2647–2665, https://doi.org/10.5194/nhess-24-2647-2024, https://doi.org/10.5194/nhess-24-2647-2024, 2024
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This study utilizes the global copula Bayesian model averaging technique for accurate and reliable flood modeling, especially in coastal regions. By integrating multiple precipitation datasets within this framework, we can effectively address sources of error in each dataset, leading to the generation of probabilistic flood maps. The creation of these probabilistic maps is essential for disaster preparedness and mitigation in densely populated areas susceptible to extreme weather events.
Manuel Grenier, Mathieu Boudreault, David A. Carozza, Jérémie Boudreault, and Sébastien Raymond
Nat. Hazards Earth Syst. Sci., 24, 2577–2595, https://doi.org/10.5194/nhess-24-2577-2024, https://doi.org/10.5194/nhess-24-2577-2024, 2024
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Modelling floods at the street level for large countries like Canada and the United States is difficult and very costly. However, many applications do not necessarily require that level of detail. As a result, we present a flood modelling framework built with artificial intelligence for socioeconomic studies like trend and scenarios analyses. We find for example that an increase of 10 % in average precipitation yields an increase in displaced population of 18 % in Canada and 14 % in the US.
Helge Bormann, Jenny Kebschull, Lidia Gaslikova, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 24, 2559–2576, https://doi.org/10.5194/nhess-24-2559-2024, https://doi.org/10.5194/nhess-24-2559-2024, 2024
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Inland flooding is threatening coastal lowlands. If rainfall and storm surges coincide, the risk of inland flooding increases. We examine how such compound events are influenced by climate change. Data analysis and model-based scenario analysis show that climate change induces an increasing frequency and intensity of compounding precipitation and storm tide events along the North Sea coast. Overload of inland drainage systems will also increase if no timely adaptation measures are taken.
Belinda Rhein and Heidi Kreibich
EGUsphere, https://doi.org/10.5194/egusphere-2024-2066, https://doi.org/10.5194/egusphere-2024-2066, 2024
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The 2021 flood killed 190 people in Germany, 134 of them in the Ahr valley, making it the deadliest flood in recent German history. The flash flood was extreme in terms of water levels, flow velocities and flood extent, early warning and evacuation were inadequate. Many died on the ground floor or in the street, with older and impaired individuals especially vulnerable. Clear warnings should urge people to seek safety rather than save belongings, and timely evacuations are essential.
Yanxia Shen, Zhenduo Zhu, Qi Zhou, and Chunbo Jiang
Nat. Hazards Earth Syst. Sci., 24, 2315–2330, https://doi.org/10.5194/nhess-24-2315-2024, https://doi.org/10.5194/nhess-24-2315-2024, 2024
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We present an improved Multigrid Dynamical Bidirectional Coupled hydrologic–hydrodynamic Model (IM-DBCM) with two major improvements: (1) automated non-uniform mesh generation based on the D-infinity algorithm was implemented to identify flood-prone areas where high-resolution inundation conditions are needed, and (2) ghost cells and bilinear interpolation were implemented to improve numerical accuracy in interpolating variables between the coarse and fine grids. The improved model was reliable.
Taylor Glen Johnson, Jorge Leandro, and Divine Kwaku Ahadzie
Nat. Hazards Earth Syst. Sci., 24, 2285–2302, https://doi.org/10.5194/nhess-24-2285-2024, https://doi.org/10.5194/nhess-24-2285-2024, 2024
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Reliance on infrastructure creates vulnerabilities to disruptions caused by natural hazards. To assess the impacts of natural hazards on the performance of infrastructure, we present a framework for quantifying resilience and develop a model of recovery based upon an application of project scheduling under resource constraints. The resilience framework and recovery model were applied in a case study to assess the resilience of building infrastructure to flooding hazards in Accra, Ghana.
Arnau Amengual, Romu Romero, María Carmen Llasat, Alejandro Hermoso, and Montserrat Llasat-Botija
Nat. Hazards Earth Syst. Sci., 24, 2215–2242, https://doi.org/10.5194/nhess-24-2215-2024, https://doi.org/10.5194/nhess-24-2215-2024, 2024
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On 22 October 2019, the Francolí River basin experienced a heavy precipitation event, resulting in a catastrophic flash flood. Few studies comprehensively address both the physical and human dimensions and their interrelations during extreme flash flooding. This research takes a step forward towards filling this gap in knowledge by examining the alignment among all these factors.
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 24, 2147–2164, https://doi.org/10.5194/nhess-24-2147-2024, https://doi.org/10.5194/nhess-24-2147-2024, 2024
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To identify flash flood potential in Germany, we shifted the most extreme rainfall events from the last 22 years systematically across Germany and simulated the consequent runoff reaction. Our results show that almost all areas in Germany have not seen the worst-case scenario of flood peaks within the last 22 years. With a slight spatial change of historical rainfall events, flood peaks of a factor of 2 or more would be achieved for most areas. The results can aid disaster risk management.
Günter Blöschl, Andreas Buttinger-Kreuzhuber, Daniel Cornel, Julia Eisl, Michael Hofer, Markus Hollaus, Zsolt Horváth, Jürgen Komma, Artem Konev, Juraj Parajka, Norbert Pfeifer, Andreas Reithofer, José Salinas, Peter Valent, Roman Výleta, Jürgen Waser, Michael H. Wimmer, and Heinz Stiefelmeyer
Nat. Hazards Earth Syst. Sci., 24, 2071–2091, https://doi.org/10.5194/nhess-24-2071-2024, https://doi.org/10.5194/nhess-24-2071-2024, 2024
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A methodology of regional flood hazard mapping is proposed, based on data in Austria, which combines automatic methods with manual interventions to maximise efficiency and to obtain estimation accuracy similar to that of local studies. Flood discharge records from 781 stations are used to estimate flood hazard patterns of a given return period at a resolution of 2 m over a total stream length of 38 000 km. The hazard maps are used for civil protection, risk awareness and insurance purposes.
Christoph Nathanael von Matt, Regula Muelchi, Lukas Gudmundsson, and Olivia Martius
Nat. Hazards Earth Syst. Sci., 24, 1975–2001, https://doi.org/10.5194/nhess-24-1975-2024, https://doi.org/10.5194/nhess-24-1975-2024, 2024
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The simultaneous occurrence of meteorological (precipitation), agricultural (soil moisture), and hydrological (streamflow) drought can lead to augmented impacts. By analysing drought indices derived from the newest climate scenarios for Switzerland (CH2018, Hydro-CH2018), we show that with climate change the concurrence of all drought types will increase in all studied regions of Switzerland. Our results stress the benefits of and need for both mitigation and adaptation measures at early stages.
Melody Gwyneth Whitehead and Mark Stephen Bebbington
Nat. Hazards Earth Syst. Sci., 24, 1929–1935, https://doi.org/10.5194/nhess-24-1929-2024, https://doi.org/10.5194/nhess-24-1929-2024, 2024
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Precipitation-driven hazards including floods, landslides, and lahars can be catastrophic and difficult to forecast due to high uncertainty around future weather patterns. This work presents a stochastic weather model that produces statistically similar (realistic) rainfall over long time periods at minimal computational cost. These data provide much-needed inputs for hazard simulations to support long-term, time and spatially varying risk assessments.
Jan Sodoge, Christian Kuhlicke, Miguel D. Mahecha, and Mariana Madruga de Brito
Nat. Hazards Earth Syst. Sci., 24, 1757–1777, https://doi.org/10.5194/nhess-24-1757-2024, https://doi.org/10.5194/nhess-24-1757-2024, 2024
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We delved into the socio-economic impacts of the 2018–2022 drought in Germany. We derived a dataset covering the impacts of droughts in Germany between 2000 and 2022 on sectors such as agriculture and forestry based on newspaper articles. Notably, our study illustrated that the longer drought had a wider reach and more varied effects. We show that dealing with longer droughts requires different plans compared to shorter ones, and it is crucial to be ready for the challenges they bring.
Mario Di Bacco, Daniela Molinari, and Anna Rita Scorzini
Nat. Hazards Earth Syst. Sci., 24, 1681–1696, https://doi.org/10.5194/nhess-24-1681-2024, https://doi.org/10.5194/nhess-24-1681-2024, 2024
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INSYDE 2.0 is a tool for modelling flood damage to residential buildings. By incorporating ultra-detailed survey and desk-based data, it improves the reliability and informativeness of damage assessments while addressing input data uncertainties.
Théo St. Pierre Ostrander, Thomé Kraus, Bruno Mazzorana, Johannes Holzner, Andrea Andreoli, Francesco Comiti, and Bernhard Gems
Nat. Hazards Earth Syst. Sci., 24, 1607–1634, https://doi.org/10.5194/nhess-24-1607-2024, https://doi.org/10.5194/nhess-24-1607-2024, 2024
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Mountain river confluences are hazardous during localized flooding events. A physical model was used to determine the dominant controls over mountain confluences. Contrary to lowland confluences, in mountain regions, the channel discharges and (to a lesser degree) the tributary sediment concentration control morphological patterns. Applying conclusions drawn from lowland confluences could misrepresent depositional and erosional patterns and the related flood hazard at mountain river confluences.
Maria Staudinger, Martina Kauzlaric, Alexandre Mas, Guillaume Evin, Benoit Hingray, and Daniel Viviroli
EGUsphere, https://doi.org/10.5194/egusphere-2024-909, https://doi.org/10.5194/egusphere-2024-909, 2024
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Various combinations of antecedent conditions and precipitation result in floods of varying degrees. Antecedent conditions played a crucial role in generating even large. The key predictors and spatial patterns of antecedent conditions leading to flooding at the basin's outlet were distinct. Precipitation and soil moisture from almost all sub-catchments were important for more frequent floods. For rarer events, only the predictors of specific sub-catchments were important.
Nils Poncet, Philippe Lucas-Picher, Yves Tramblay, Guillaume Thirel, Humberto Vergara, Jonathan Gourley, and Antoinette Alias
Nat. Hazards Earth Syst. Sci., 24, 1163–1183, https://doi.org/10.5194/nhess-24-1163-2024, https://doi.org/10.5194/nhess-24-1163-2024, 2024
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High-resolution convection-permitting climate models (CPMs) are now available to better simulate rainstorm events leading to flash floods. In this study, two hydrological models are compared to simulate floods in a Mediterranean basin, showing a better ability of the CPM to reproduce flood peaks compared to coarser-resolution climate models. Future projections are also different, with a projected increase for the most severe floods and a potential decrease for the most frequent events.
Wilson C. H. Chan, Nigel W. Arnell, Geoff Darch, Katie Facer-Childs, Theodore G. Shepherd, and Maliko Tanguy
Nat. Hazards Earth Syst. Sci., 24, 1065–1078, https://doi.org/10.5194/nhess-24-1065-2024, https://doi.org/10.5194/nhess-24-1065-2024, 2024
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The most recent drought in the UK was declared in summer 2022. We pooled a large sample of plausible winters from seasonal hindcasts and grouped them into four clusters based on their atmospheric circulation configurations. Drought storylines representative of what the drought could have looked like if winter 2022/23 resembled each winter circulation storyline were created to explore counterfactuals of how bad the 2022 drought could have been over winter 2022/23 and beyond.
Dino Collalti, Nekeisha Spencer, and Eric Strobl
Nat. Hazards Earth Syst. Sci., 24, 873–890, https://doi.org/10.5194/nhess-24-873-2024, https://doi.org/10.5194/nhess-24-873-2024, 2024
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The risk of extreme rainfall events causing floods is likely increasing with climate change. Flash floods, which follow immediately after extreme rainfall, are particularly difficult to forecast and assess. We develop a decision rule for flash flood classification with data on all incidents between 2001 and 2018 in Jamaica with the statistical copula method. This decision rule tells us for any rainfall event of a certain duration how intense it has to be to likely trigger a flash flood.
Ivan Vorobevskii, Thi Thanh Luong, and Rico Kronenberg
Nat. Hazards Earth Syst. Sci., 24, 681–697, https://doi.org/10.5194/nhess-24-681-2024, https://doi.org/10.5194/nhess-24-681-2024, 2024
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This study presents a new version of a framework which allows us to model water balance components at any site on a local scale. Compared with the first version, the second incorporates new datasets used to set up and force the model. In particular, we highlight the ability of the framework to provide seasonal forecasts. This gives potential stakeholders (farmers, foresters, policymakers, etc.) the possibility to forecast, for example, soil moisture drought and thus apply the necessary measures.
Diego Fernández-Nóvoa, Alexandre M. Ramos, José González-Cao, Orlando García-Feal, Cristina Catita, Moncho Gómez-Gesteira, and Ricardo M. Trigo
Nat. Hazards Earth Syst. Sci., 24, 609–630, https://doi.org/10.5194/nhess-24-609-2024, https://doi.org/10.5194/nhess-24-609-2024, 2024
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The present study focuses on an in-depth analysis of floods in the lower section of the Tagus River from a hydrodynamic perspective by means of the Iber+ numerical model and on the development of dam operating strategies to mitigate flood episodes using the exceptional floods of February 1979 as a benchmark. The results corroborate the model's capability to evaluate floods in the study area and confirm the effectiveness of the proposed strategies to reduce flood impact in the lower Tagus valley.
Laurence Hawker, Jeffrey Neal, James Savage, Thomas Kirkpatrick, Rachel Lord, Yanos Zylberberg, Andre Groeger, Truong Dang Thuy, Sean Fox, Felix Agyemang, and Pham Khanh Nam
Nat. Hazards Earth Syst. Sci., 24, 539–566, https://doi.org/10.5194/nhess-24-539-2024, https://doi.org/10.5194/nhess-24-539-2024, 2024
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We present a global flood model built using a new terrain data set and evaluated in the Central Highlands of Vietnam.
Andrea Abbate, Leonardo Mancusi, Francesco Apadula, Antonella Frigerio, Monica Papini, and Laura Longoni
Nat. Hazards Earth Syst. Sci., 24, 501–537, https://doi.org/10.5194/nhess-24-501-2024, https://doi.org/10.5194/nhess-24-501-2024, 2024
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CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment) is a new physically based and spatially distributed rainfall-runoff model. The main novelties consist of reproducing rainfall-induced geo-hydrological hazards such as shallow landslide, debris flow and watershed erosion through a multi-hazard approach. CRHyME was written in Python, works at a high spatial and temporal resolution, and is a tool suitable for quantifying extreme rainfall consequences at the basin scale.
Leanne Archer, Jeffrey Neal, Paul Bates, Emily Vosper, Dereka Carroll, Jeison Sosa, and Daniel Mitchell
Nat. Hazards Earth Syst. Sci., 24, 375–396, https://doi.org/10.5194/nhess-24-375-2024, https://doi.org/10.5194/nhess-24-375-2024, 2024
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We model hurricane-rainfall-driven flooding to assess how the number of people exposed to flooding changes in Puerto Rico under the 1.5 and 2 °C Paris Agreement goals. Our analysis suggests 8 %–10 % of the population is currently exposed to flooding on average every 5 years, increasing by 2 %–15 % and 1 %–20 % at 1.5 and 2 °C. This has implications for adaptation to more extreme flooding in Puerto Rico and demonstrates that 1.5 °C climate change carries a significant increase in risk.
Luis Cea, Manuel Álvarez, and Jerónimo Puertas
Nat. Hazards Earth Syst. Sci., 24, 225–243, https://doi.org/10.5194/nhess-24-225-2024, https://doi.org/10.5194/nhess-24-225-2024, 2024
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Mozambique is highly exposed to the impact of floods. To reduce flood damage, it is necessary to develop mitigation measures. Hydrological software is a very useful tool for that purpose, since it allows for a precise quantification of flood hazard in different scenarios. We present a methodology to quantify flood hazard in data-scarce regions, using freely available data and software, and we show its potential by analysing the flood event that took place in the Umbeluzi Basin in February 2023.
Lorenzo Alfieri, Andrea Libertino, Lorenzo Campo, Francesco Dottori, Simone Gabellani, Tatiana Ghizzoni, Alessandro Masoero, Lauro Rossi, Roberto Rudari, Nicola Testa, Eva Trasforini, Ahmed Amdihun, Jully Ouma, Luca Rossi, Yves Tramblay, Huan Wu, and Marco Massabò
Nat. Hazards Earth Syst. Sci., 24, 199–224, https://doi.org/10.5194/nhess-24-199-2024, https://doi.org/10.5194/nhess-24-199-2024, 2024
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This work describes Flood-PROOFS East Africa, an impact-based flood forecasting system for the Greater Horn of Africa. It is based on hydrological simulations, inundation mapping, and estimation of population and assets exposed to upcoming river floods. The system supports duty officers in African institutions in the daily monitoring of hydro-meteorological disasters. A first evaluation shows the system performance for the catastrophic floods in the Nile River basin in summer 2020.
Nejc Bezak, Panos Panagos, Leonidas Liakos, and Matjaž Mikoš
Nat. Hazards Earth Syst. Sci., 23, 3885–3893, https://doi.org/10.5194/nhess-23-3885-2023, https://doi.org/10.5194/nhess-23-3885-2023, 2023
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Extreme flooding occurred in Slovenia in August 2023. This brief communication examines the main causes, mechanisms and effects of this event. The flood disaster of August 2023 can be described as relatively extreme and was probably the most extreme flood event in Slovenia in recent decades. The economic damage was large and could amount to well over 5 % of Slovenia's annual gross domestic product; the event also claimed three lives.
Ana Paez-Trujilo, Jeffer Cañon, Beatriz Hernandez, Gerald Corzo, and Dimitri Solomatine
Nat. Hazards Earth Syst. Sci., 23, 3863–3883, https://doi.org/10.5194/nhess-23-3863-2023, https://doi.org/10.5194/nhess-23-3863-2023, 2023
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This study uses a machine learning technique, the multivariate regression tree approach, to assess the hydroclimatic characteristics that govern agricultural and hydrological drought severity. The results show that the employed technique successfully identified the primary drivers of droughts and their critical thresholds. In addition, it provides relevant information to identify the areas most vulnerable to droughts and design strategies and interventions for drought management.
Edward Robert Schenk, Alex Wood, Allen Haden, Gabriel Baca, Jake Fleishman, and Joe Loverich
EGUsphere, https://doi.org/10.5194/egusphere-2023-2163, https://doi.org/10.5194/egusphere-2023-2163, 2023
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Post-wildfire flooding and debris is dangerous and damaging. This study used three different sediment models to predict post-wildfire sediment sources and transport amounts downstream of the 2019 Museum Fire in northern Arizona, USA. The predictions were compared with real-world measurements of sediment that was cleaned out of the city of Flagstaff after four large floods in 2021. Results provide avenues for continued model refinement and an example of potential mitigation strategies.
Cited articles
Anyamba, A. and Tucker, C. J.: Historical perspectives on AVHRR NDVI and vegetation drought monitoring, Remote Sensing of Drought: Innovative Monitoring Approaches, edited by: Wardlow, B. D., Anderson, M. C., Verdin, J. P., CRC Press, New York, United States of America, 2023–2051, https://doi.org/10.1201/b11863, 2012.
Arunrat, N., Sereenonchai, S., Chaowiwat, W., and Wang, C.: Climate change
impact on major crop yield and water footprint under CMIP6 climate
projections in repeated drought and flood areas in Thailand, Sci. Total
Environ., 807, 150741, https://doi.org/10.1016/j.scitotenv.2021.150741, 2022.
Bachmair, S., Stahl, K., Collins, K., Hannaford, J., Acreman, M., Svoboda,
M., Knutson, C., Smith, K. H., Wall, N., Fuchs, B., Crossman, N. D., and
Overton, I. C.: Drought indicators revisited: the need for a wider
consideration of environment and society, WIREs Water, 3, 516–536,
https://doi.org/10.1002/wat2.1154, 2016a.
Bachmair, S., Svensson, C., Hannaford, J., Barker, L. J., and Stahl, K.: A quantitative analysis to objectively appraise drought indicators and model drought impacts, Hydrol. Earth Syst. Sci., 20, 2589–2609, https://doi.org/10.5194/hess-20-2589-2016, 2016b.
Bachmair, S., Tanguy, M., Hannaford, J., and Stahl, K.: How well do
meteorological indicators represent agricultural and forest drought across
Europe?, Environ. Res. Lett., 13, 034042, https://doi.org/10.1088/1748-9326/aaafda, 2018.
Blair, G. S., Henrys, P., Leeson, A., Watkins, J., Eastoe, E., Jarvis, S.,
and Young, P. J.: Data Science of the Natural Environment: A Research
Roadmap, Front. Environ. Sci., 7, 121, https://doi.org/10.3389/fenvs.2019.00121,
2019.
Bolton, D. K. and Friedl, M. A.: Forecasting crop yield using remotely
sensed vegetation indices and crop phenology metrics, Agr. Forest Meteorol.,
173, 74–84, https://doi.org/10.1016/j.agrformet.2013.01.007, 2013.
Bouras, E. H., Jarlan, L., Er-Raki, S., Balaghi, R., Amazirh, A., Richard,
B., and Khabba, S.: Cereal Yield Forecasting with Satellite Drought-Based
Indices, Weather Data and Regional Climate Indices Using Machine Learning in
Morocco, Remote Sens., 13, 3101, https://doi.org/10.3390/rs13163101, 2021.
Bréda, N., Huc, R., Granier, A., and Dreyer, E.: Temperate forest trees
and stands under severe drought: a review of ecophysiological responses,
adaptation processes and long-term consequences, Ann. For. Sci., 63,
625–644, 2006.
Buckley, B. M., Barbetti, M., Watanasak, M., Arrigo, R. D., Boonchirdchoo,
S., and Sarutanon, S.: Dendrochronological Investigations in Thailand, IAWA
J., 16, 393–409, https://doi.org/10.1163/22941932-90001429, 1995.
Byer, S. and Jin, Y.: Detecting Drought-Induced Tree Mortality in Sierra
Nevada Forests with Time Series of Satellite Data, Remote Sens., 9, 929, https://doi.org/10.3390/rs9090929, 2017.
CFE-DMHA: THAILAND Disaster Management Reference Handbook, Center for
Excellence in Disaster Management & Humanitarian Assistance, ISBN 978-971-955429-955433-955427, https://reliefweb.int/report/thailand/disaster-management-reference-handbook-thailand-january-2022 (last access: 22 June 2023), 2022.
Coelho, A. P., de Faria, R. T., Leal, F. T., Barbosa, J. D. A., and Rosalen,
D. L.: Validation of white oat yield estimation models using vegetation
indices. Basic areas, Bragantia, 79, 2, https://doi.org/10.1590/1678-4499.20190387, 2020.
Connor, D. J., Cock, J. H., and Parra, G. E.: Response of cassava to water
shortage I. Growth and yield, Field Crop. Res., 4, 181–200, https://doi.org/10.1016/0378-4290(81)90071-X, 1981.
Didan, K.: MYD13A1 MODIS/Aqua Vegetation Indices 16-day L3 Global 500m SIN
Grid V006, NASA EOSDIS Land Processes DAAC [data set], https://doi.org/10.5067/MODIS/MYD13A1.006, 2015a.
Didan, K.: MOD13A1 MODIS/Terra Vegetation Indices 16-Day L3 Global 500m SIN
Grid V006, NASA EOSDIS Land Processes DAAC [data set], https://doi.org/10.5067/MODIS/MOD13A1.006, 2015b.
Dubey, S. K., Gavli, A. S., Yadav, S. K., Sehgal, S., and Ray, S. S.: Remote
Sensing-Based Yield Forecasting for Sugarcane (Saccharum officinarum L.)
Crop in India, J. Indian Soc. Remot., 46, 1823–1833, https://doi.org/10.1007/s12524-018-0839-2, 2018.
FAO: Irrigation in Asia in Figures, Water reports, Food and Agriculture
Organization of the United Nations, https://www.fao.org/1023/I9275EN/i9275en.pdf (last access: 5 January 2023), 1999.
FAO: The impact of disasters and crises on agriculture and food security:
2021, Food and Agriculture Association of the United Nations, Rome,
https://doi.org/10.4060/cb3673en, 2021.
Farooq, M., Hussain, M., Wahid, A., and Siddique, K. H. M.: Drought Stress
in Plants: An Overview, in: Plant Responses to Drought Stress: From
Morphological to Molecular Features, edited by: Aroca, R., Springer Berlin
Heidelberg, Berlin, Heidelberg, 1–33, https://doi.org/10.1007/978-3-642-32653-0_1, 2012.
FFTC: Fruit Production, Marketing and Research and Development System in
Thailand, Food and Fertilizer Technology Cente for the Asian and Pacific
Region, https://www.fftc.org.tw/en/publications/main/1912 (last access:
19 January 2023), 2015.
Friedl, M. and Sulla-Menashe, D.: MCD12Q1 MODIS/Terra+Aqua Land Cover Type
Yearly L3 Global 500m SIN Grid V006, NASA EOSDIS Land Processes
DAAC [data set], https://doi.org/10.5067/MODIS/MCD12Q1.006, 2019.
García-León, D., Contreras, S., and Hunink, J.: Comparison of
meteorological and satellite-based drought indices as yield predictors of
Spanish cereals, Agr. Water Manage., 213, 388–396, https://doi.org/10.1016/j.agwat.2018.10.030, 2019.
Gheewala, S. H., Silalertruksa, T., Nilsalab, P., Mungkung, R., Perret, S.
R., and Chaiyawannakarn, N.: Water Footprint and Impact of Water Consumption
for Food, Feed, Fuel Crops Production in Thailand, Water, 6, 1698–1718,
2014.
Hariadi, M. H., van der Schrier, G., Steeneveld, G.-J., Sutanto, S., Sutanudjaja, E., Ratri, D. N., Sopaheluwakan, A., and Klein Tank, A.: A high-resolution perspective of extreme rainfall and river flow under extreme climate change in Southeast Asia, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2023-14, in review, 2023.
Hobeichi, S., Abramowitz, G., Evans, J. P., and Ukkola, A.: Toward a Robust,
Impact-Based, Predictive Drought Metric, Water Resour. Res., 58,
e2021WR031829, https://doi.org/10.1029/2021WR031829, 2022.
ICID: Thailand, International Commission on Irrigation & Drainage, Thai National Committee on Irrigation and Drainage (THAICID), https://www.icid.org/v_thailand.pdf (last access: 5 June 2022),
2020.
Ikeda, M. and Palakhamarn, T.: Economic Damage from Natural Hazards and
Local Disaster Management Plans in Japan and Thailand, ERIA Discussion Paper
Series, No. 346, ERIA-DP-2020-2019, Economic Research Institute for ASEAN and
East Asia, https://www.eria.org/research/economic-damage-from-natural-hazards-and-local-disaster-management-plans-in-japan-and-thailand/
(last access: 22 June 2023), 2020.
IPCC: Climate Change 2021: The Physical Science Basis. Contribution of
Working Group I to the Sixth Assessment Report of the Intergovernmental
Panel on Climate Change, edited by: Masson-Delmotte, V., Zhai, P., Pirani, A., Connors, S. L., Péan, C., Berger, S., Caud, N., Chen, Y., Goldfarb, L., Gomis, M. I., Huang, M., Leitzell, K., Lonnoy, E., Matthews, J. B. R., Maycock, T. K., Waterfield, T., Yelekçi, O., Yu, R., and Zhou, B., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 2391 pp., https://report.ipcc.ch/ar6/wg1/IPCC_AR6_WGI_FullReport.pdf (last access: 4 July 2023), 2021.
IPCC: Climate Change 2022: Impacts, Adaptation and Vulnerability.
Contribution of Working Group II to the Sixth Assessment Report of the
Intergovernmental Panel on Climate Change, edited by: Pörtner, H.-O., Roberts, D. C., Tignor, M., Poloczanska, E. S., Mintenbeck, K., Alegría, A., Craig, M., Langsdorf, S., Löschke, S., Möller, V., Okem, A., and Rama, B., Cambridge University Press. Cambridge University Press, Cambridge, UK and New York, NY, USA, 3056 pp., https://doi.org/10.1017/9781009325844, 2022.
Jain, S. K., Keshri, R., Goswami, A., Sarkar, A., and Chaudhry, A.:
Identification of drought-vulnerable areas using NOAA AVHRR data, Int. J.
Remote Sens., 30, 2653–2668, https://doi.org/10.1080/01431160802555788, 2009.
Jiao, W., Zhang, L., Chang, Q., Fu, D., Cen, Y., and Tong, Q.: Evaluating an
Enhanced Vegetation Condition Index (VCI) Based on VIUPD for Drought
Monitoring in the Continental United States, Remote Sens., 8, 224, https://doi.org/10.3390/rs8030224, 2016.
Kadam, N. N., Tamilselvan, A., Lawas, L. M. F., Quinones, C., Bahuguna, R.
N., Thomson, M. J., Dingkuhn, M., Muthurajan, R., Struik, P. C., Yin, X.,
and Jagadish, S. V. K.: Genetic Control of Plasticity in Root Morphology and
Anatomy of Rice in Response to Water Deficit, Plant Physiol., 174,
2302–2315, https://doi.org/10.1104/pp.17.00500, 2017.
Khadka, D., Babel, M. S., Shrestha, S., Virdis, S. G. P., and Collins, M.:
Multivariate and multi-temporal analysis of meteorological drought in the
northeast of Thailand, Weather and Climate Extremes, 34, 100399, https://doi.org/10.1016/j.wace.2021.100399, 2021.
Kogan, F., Salazar, L., and Roytman, L.: Forecasting crop production using
satellite-based vegetation health indices in Kansas, USA, Int. J. Remote
Sens., 33, 2798–2814, https://doi.org/10.1080/01431161.2011.621464, 2012.
Kogan, F. N.: Global Drought Watch from Space, B. Am. Meteorol. Soc., 78,
621–636, https://doi.org/10.1175/1520-0477(1997)078<0621:GDWFS>2.0.CO;2, 1997.
Lacombe, G., Polthanee, A., and Trébuil, G.: Long-term change in
rainfall distribution in Northeast Thailand: will cropping systems be able
to adapt?, Cah. Agric., 26, 25001, https://doi.org/10.1051/cagri/2017006, 2017.
LePoer, B. L.: Thailand: a country study, Federal Research
Division, Washington, D.C., USA, 60–65, OCLC 44366465, https://www.loc.gov/item/88600485/ (last access: 4 July 2023), 1987.
Liu, W. T. and Kogan, F. N.: Monitoring regional drought using the
Vegetation Condition Index, Int. J. Remote Sens., 17, 2761–2782, https://doi.org/10.1080/01431169608949106, 1996.
Lloyd-Hughes, B.: The impracticality of a universal drought definition,
Theor. Appl. Climatol., 117, 607–611, https://doi.org/10.1007/s00704-013-1025-7, 2014.
Martin, S. A. and Ritchie, R. J.: Sourcing Thai geography literature for
ASEAN and international education, Singapore J. Trop. Geo., 41, 61–85,
https://doi.org/10.1111/sjtg.12296, 2020.
Maselli, F., Romanelli, S., Bottai, L., and Maracchi, G.: Processing of GAC
NDVI data for yield forecasting in the Sahelian region, Int. J. Remote
Sens., 21, 3509–3523, https://doi.org/10.1080/014311600750037525, 2000.
McKee, T. B., Doesken, N. J., and Kleist, J.: The relationship of drought
frequency and duration to time scales, Eighth Conference on Applied
Climatology, 17–22 January 1993, Anaheim, California, American Meteorological Society, https://www.droughtmanagement.info/literature/AMS_Relationship_Drought_Frequency_Duration_Time_Scales_1993.pdf (last access: 4 July 2023), 1993.
Menzel, C. M. and Waite, G. K.: Litchi and longan, botany, production and
uses, CABI Publishing, Oxfordshire/Cambridge, MA, ISBN 9780851996967, 2005.
Mishra, S. S. and Panda, D.: Leaf Traits and Antioxidant Defense for Drought
Tolerance During Early Growth Stage in Some Popular Traditional Rice
Landraces from Koraput, India, Rice Science, 24, 207–217, https://doi.org/10.1016/j.rsci.2017.04.001, 2017.
Mongkolsawat, C., Thirangoon, P., Suwanwerakamtorn, R., Karladee, N.,
Paiboonsak, S., and Champathet, P.: An evaluation of drought risk area in
Northeast Thailand using remotely sensed data and GIS, Asian Journal of
Geoinformatics, 1, 33–43, 2001.
NESDC: Statistics on Thailand's drought situation for the period 1989–2021,
National Economic and Social Development Council, Data collated from annual
report of the Disaster Data Center DDPM, https://www.nesdc.go.th/ewt_dl_link.php?nid=9787 (last access:
23 June 2023), 2021.
OAE: Agricultural production data, Office of Agricultural Economics,
https://www.ceicdata.com/en/thailand/agricultural-production-index-office-of-agricultural-economics (last access: 23 June 2023), 2021.
OAE: Agricultural Statistics of Thailand 2021, Office of Agricultural
Economics, Ministry of Agriculture and Cooperatives, Bangkok, Thailand, https://www.oae.go.th/assets/portals/1/files/jounal/2565/yearbook2564.pdf (last access: 23 June 2023), 2022.
OECD: OECD Economic Surveys Economic Assessment: Thailand, Organisation for
Economic Co-operation and Development, https://www.oecd.org/economy/thailand-economic-snapshot/ (last access: 23 June 2023), 2020.
Okogbenin, E., Setter, T., Ferguson, M., Mutegi, R., Ceballos, H., Olasanmi,
B., and Fregene, M.: Phenotypic approaches to drought in cassava: review,
Front. Physiol., 4, https://doi.org/10.3389/fphys.2013.00093, 2013.
Oliveira, S. L., Macedo, M. M. C., and Porto, M. C. M.: Effects of water
stress on cassava root production, Pesquia Agropecuria Brasil, 17, 121–124,
https://agris.fao.org/agris-search/search.do?recordID=US201302182137 (last access: 31 January 2023), 1982.
Parsons, D. J., Rey, D., Tanguy, M., and Holman, I. P.: Regional variations
in the link between drought indices and reported agricultural impacts of
drought, Agr. Syst., 173, 119–129, https://doi.org/10.1016/j.agsy.2019.02.015, 2019.
Pearson, K.: Notes on the history of correlation, Biometrika, 13, 25–45, https://doi.org/10.1093/biomet/13.1.25, 1920.
Prabnakorn, S., Maskey, S., Suryadi, F. X., and de Fraiture, C.: Rice yield
in response to climate trends and drought index in the Mun River Basin,
Thailand, Sci. Total Environ., 621, 108–119, https://doi.org/10.1016/j.scitotenv.2017.11.136, 2018.
Pradawet, C., Khongdee, N., Pansak, W., Spreer, W., Hilger, T., and Cadisch,
G.: Thermal imaging for assessment of maize water stress and yield
prediction under drought conditions, J. Agron. Crop Sci., 209, 56–70,
https://doi.org/10.1111/jac.12582, 2023.
Pyper, B. J. and Peterman, R. M.: Comparison of methods to account for
autocorrelation in correlation analyses of fish data, Can. J. Fish. Aquat.
Sci., 55, 2127–2140, https://doi.org/10.1139/f98-104, 1998.
Rakthai, S., Fu, P.-L., Fan, Z.-X., Gaire, N. P., Pumijumnong, N.,
Eiadthong, W., and Tangmitcharoen, S.: Increased Drought Sensitivity Results
in a Declining Tree Growth of Pinus latteri in Northeastern Thailand,
Forests, 11, 361, https://doi.org/10.3390/f11030361, 2020.
RFD: Forest area of Thailand, 1973–2018, Royal Forest Department (RFD),
http://forestinfo.forest.go.th/Content.aspx?id=72 (last access: 5 June 2022), 2022.
Roebroek, C. T. J., Melsen, L. A., Hoek van Dijke, A. J., Fan, Y., and Teuling, A. J.: Global distribution of hydrologic controls on forest growth, Hydrol. Earth Syst. Sci., 24, 4625–4639, https://doi.org/10.5194/hess-24-4625-2020, 2020.
Running, S., Mu, Q., and Zhao, M.: MOD16A2 MODIS/Terra Net
Evapotranspiration 8-Day L4 Global 500m SIN Grid V006, NASA
EOSDIS Land Processes DAAC [data set], https://doi.org/10.5067/MODIS/MOD16A2.006, 2017.
Salakpi, E. E., Hurley, P. D., Muthoka, J. M., Bowell, A., Oliver, S., and Rowhani, P.: A dynamic hierarchical Bayesian approach for forecasting vegetation condition, Nat. Hazards Earth Syst. Sci., 22, 2725–2749, https://doi.org/10.5194/nhess-22-2725-2022, 2022.
Sa-nguansilp, C., Wijitkosum, S., and Sriprachote, A.: Agricultural Drought
Risk Assessment in Lam Ta Kong Watershed, International Journal of
Geoinformatics, 13, 46, https://journals.sfu.ca/ijg/index.php/journal/article/view/1090 (last access: 23 June 2023), 2017.
Sano, M., Buckley, B. M., and Sweda, T.: Tree-ring based hydroclimate
reconstruction over northern Vietnam from Fokienia hodginsii: eighteenth
century mega-drought and tropical Pacific influence, Clim. Dynam., 33, 331–340, https://doi.org/10.1007/s00382-008-0454-y, 2008.
Sanoamuang, L. and Dabseepai, P.: Diversity, Distribution, and Habitat
Occurrence of the Diaptomid Copepods (Crustacea: Copepoda: Diaptomidae) in
Freshwater Ecosystems of Thailand, Water, 13, 2381, https://doi.org/10.3390/w13172381, 2021.
Schenk, H. J. and Jackson, R. B.: The Global Biogeography Of Roots, Ecol.
Monogr., 72, 311–328, https://doi.org/10.1890/0012-9615(2002)072[0311:TGBOR]2.0.CO;2, 2002.
Shams Esfandabadi, H., Ghamary Asl, M., Shams Esfandabadi, Z., Gautam, S.,
and Ranjbari, M.: Drought assessment in paddy rice fields using remote
sensing technology towards achieving food security and SDG2, Brit. Food J.,
124, 4219–4233, https://doi.org/10.1108/BFJ-08-2021-0872, 2022.
Shen, R., Huang, A., Li, B., and Guo, J.: Construction of a drought
monitoring model using deep learning based on multi-source remote sensing
data, Int. J. Appl. Earth Obs., 79, 48–57, https://doi.org/10.1016/j.jag.2019.03.006, 2019.
Singh, R. P., Roy, S., and Kogan, F.: Vegetation and temperature condition
indices from NOAA AVHRR data for drought monitoring over India, Int. J.
Remote Sens., 24, 4393–4402, https://doi.org/10.1080/0143116031000084323, 2003.
Smith, K. H., Svoboda, M., Hayes, M., Reges, H., Doesken, N., Lackstrom, K.,
Dow, K., and Brennan, A.: Local Observers Fill In the Details on Drought
Impact Reporter Maps, B. Am. Meteorol. Soc., 95, 1659–1662, https://doi.org/10.1175/1520-0477-95.11.1659, 2014.
Smith, R., Adams, J., Stephens, D., and Hick, P.: Forecasting wheat yield in
a Mediterranean-type environment from the NOAA satellite, Aust. J. Agr.
Res., 46, 113–125, https://doi.org/10.1071/AR9950113, 1995.
Sowcharoensuk, C. and Marknual, C.: Severe drought: Agriculture sector takes
direct hit and spillover effects on manufacturing supply chains, Bank of
Ayudhya's Krungsri Research Intellingence Report, https://www.krungsri.com/getmedia/dc6db8a2-00d2-4c3b-bbd4-ebad9275193b/RI_Drought_200207_EN.pdf.aspx (last access: 23 June 2023), 2020.
Spreer, W., Schulze, K., Ongprasert, S., Wiriya-Alongkorn, W., and
Müller, J.: Mango and Longan Production in Northern Thailand: The Role
of Water Saving Irrigation and Water Stress Monitoring, in: Sustainable Land
Use and Rural Development in Southeast Asia: Innovations and Policies for
Mountainous Areas, edited by: Fröhlich, H. L., Schreinemachers, P.,
Stahr, K., and Clemens, G., Springer Berlin Heidelberg, Berlin, Heidelberg,
215–228, https://doi.org/10.1007/978-3-642-33377-4_6, 2013.
Stahl, K., Kohn, I., Blauhut, V., Urquijo, J., De Stefano, L., Acácio, V., Dias, S., Stagge, J. H., Tallaksen, L. M., Kampragou, E., Van Loon, A. F., Barker, L. J., Melsen, L. A., Bifulco, C., Musolino, D., de Carli, A., Massarutto, A., Assimacopoulos, D., and Van Lanen, H. A. J.: Impacts of European drought events: insights from an international database of text-based reports, Nat. Hazards Earth Syst. Sci., 16, 801–819, https://doi.org/10.5194/nhess-16-801-2016, 2016.
Sutanto, S. J., van der Weert, M., Wanders, N., Blauhut, V., and Van Lanen,
H. A. J.: Moving from drought hazard to impact forecasts, Nat. Commun., 10,
4945, https://doi.org/10.1038/s41467-019-12840-z, 2019.
Thammachote, P. and Trichim, J. I.: The Impact of the COVID-19 Pandemic on
Thailand's Agricultural Export Flows, Feed the Future report, The U.S.
Government's Global Hunger & Food Security Initiative, https://www.canr.msu.edu/prci/PRCI-Research-Paper-4-Thailand_updated.pdf (last access: 29 January 2023), 2021.
Thavorntam, W. and Shahnawaz, S.: Evaluation of Drought in the North of
Thailand using Meteorological and Satellite-Based Drought Indices,
International Journal of Geoinformatics, 18, 13–26, https://doi.org/10.52939/ijg.v18i5.2367, 2022.
Thavorntam, W., Tantemsapya, N., and Armstrong, L.: A combination of
meteorological and satellite-based drought indices in a better drought
assessment and forecasting in Northeast Thailand, Nat. Hazards, 77,
1453–1474, https://doi.org/10.1007/s11069-014-1501-0, 2015.
Torres, P., Rodes-Blanco, M., Viana-Soto, A., Nieto, H., and García,
M.: The Role of Remote Sensing for the Assessment and Monitoring of Forest
Health: A Systematic Evidence Synthesis, Forests, 12, 1134, https://doi.org/10.3390/f12081134, 2021.
Tucker, C. J.: Red and photographic infrared linear combinations for
monitoring vegetation, Remote Sens. Environ., 8, 127–150, https://doi.org/10.1016/0034-4257(79)90013-0, 1979.
UNDRR: The Sendai Framework for Disaster Risk Reduction 2015–2030, United
Nations Office for Disaster Risk Reduction, 32 pp., https://www.undrr.org/publication/sendai-framework-disaster-risk-reduction-2015-2030 (last access: 23 June 2023), 2015.
UNDRR and ADCP: Disaster Risk Reduction in Thailand: Status Report 2020,
UNDRR (United Nations Office for Disaster Risk Reduction) and ADCP (Asian
Disaster Preparedness Center), Climate Change and Climate Risk Management,
DRR Report, http://www.adpc.net/Igo/contents/Publications/publications-Details.asp?pid=1681#sthash.JBSoZQWU.dpbs (last access: 23 June 2023), 2020.
Unganai, L. S. and Kogan, F. N.: Southern Africa's recent droughts from
space, Adv. Space Res.-Series, 21, 507–511, https://doi.org/10.1016/S0273-1177(97)00888-0, 1998.
Varawoot, V.: Historical Irrigation Development of Thailand, Irrigation
Technology Research, Development Laboratory, Department of Irrigation
Engineering, Kasetsart University, Kamphaengsaen campus, https://eng.kps.ku.ac.th/irre/slideshow/pdf/4.pdf (last access:
18 February 2023), 2016.
Venkatappa, M., Sasaki, N., Han, P., and Abe, I.: Impacts of droughts and
floods on croplands and crop production in Southeast Asia – An application
of Google Earth Engine, Sci. Total Environ., 795, 148829, https://doi.org/10.1016/j.scitotenv.2021.148829, 2021.
Vicente-Serrano, S. M., Beguería, S., and López-Moreno, J. I.: A
Multiscalar Drought Index Sensitive to Global Warming: The Standardized
Precipitation Evapotranspiration Index, J. Climate, 23, 1696–1718, https://doi.org/10.1175/2009jcli2909.1, 2010.
Wan, Z., Hook, S., and Hulley, G.: MOD11A2 MODIS/Terra Land Surface
Temperature/Emissivity 8-Day L3 Global 1km SIN Grid V006, NASA
EOSDIS Land Processes DAAC [data set], https://doi.org/10.5067/MODIS/MOD11A2.061, 2015.
Wang, Y., Lv, J., Hannaford, J., Wang, Y., Sun, H., Barker, L. J., Ma, M., Su, Z., and Eastman, M.: Linking drought indices to impacts to support drought risk assessment in Liaoning province, China, Nat. Hazards Earth Syst. Sci., 20, 889–906, https://doi.org/10.5194/nhess-20-889-2020, 2020.
WBG and ADB: Climate Risk Country Profile: Thailand (2021), The World Bank
Group and the Asian Development Bank, https://www.adb.org/sites/default/files/publication/722251/climate-risk-country-profile-thailand.pdf
(last access: 23 June 2023), 2021.
Wijitkosum, S.: Fuzzy AHP for drought risk assessment in Lam Ta Kong
watershed, the north-eastern region of Thailand, Soil Water Res.,
13, 218–225, 2018.
Wilhite, D. A. and Glantz, M. H.: Understanding: the Drought Phenomenon: The
Role of Definitions, Water Int., 10, 111–120, https://doi.org/10.1080/02508068508686328,
1985.
WMO: WMO Atlas of Mortality and Economic Losses from Weather, Climate and
Water Extremes (1970–2019), WMO-No. 1267, World Meteorological
Organization (WMO), ISBN 978-992-963-11267-11265, https://library.wmo.int/index.php?lvl=notice_display&id=21930#.Y11294o_11263bP11262Ul (last access: 23 June 2023), 2014.
Yang, X., Wang, B., Chen, L., Li, P., and Cao, C.: The different influences
of drought stress at the flowering stage on rice physiological traits, grain
yield, and quality, Sci. Rep., 9, 3742, https://doi.org/10.1038/s41598-019-40161-0, 2019.
Yatagai, A., Kamiguchi, K., Arakawa, O., Hamada, A., Yasutomi, N., and
Kitoh, A.: APHRODITE: Constructing a Long-Term Daily Gridded Precipitation
Dataset for Asia Based on a Dense Network of Rain Gauges, B. Am. Meteorol.
Soc., 93, 1401–1415, https://doi.org/10.1175/bams-d-11-00122.1, 2012.
Yoshida, K., Srisutham, M., Sritumboon, S., Suanburi, D., and
Janjirauttikul, N.: Weather-induced economic damage to upland crops and the
impact on farmer household income in Northeast Thailand, Paddy Water
Environ., 17, 341–349, https://doi.org/10.1007/s10333-019-00729-y, 2019.
Short summary
Droughts in Thailand are becoming more severe due to climate change. Understanding the link between drought impacts on the ground and drought indicators used in drought monitoring systems can help increase a country's preparedness and resilience to drought. With a focus on agricultural droughts, we derive crop- and region-specific indicator-to-impact links that can form the basis of targeted mitigation actions and an improved drought monitoring and early warning system in Thailand.
Droughts in Thailand are becoming more severe due to climate change. Understanding the link...
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