Articles | Volume 19, issue 6
https://doi.org/10.5194/nhess-19-1129-2019
© Author(s) 2019. 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-19-1129-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
13 Jun 2019
Research article | Highlight paper |
| 13 Jun 2019
| 13 Jun 2019
Analysis of an extreme weather event in a hyper-arid region using WRF-Hydro coupling, station, and satellite data
Department of Civil Infrastructure and Environmental Engineering,
Khalifa University of Science and Technology, Masdar City, P.O. Box 54224
Abu Dhabi, United Arab Emirates
National Center of Meteorology (NCM), P.O. Box 4815, Abu Dhabi,
United Arab Emirates
Marouane Temimi
Department of Civil Infrastructure and Environmental Engineering,
Khalifa University of Science and Technology, Masdar City, P.O. Box 54224
Abu Dhabi, United Arab Emirates
Michael Weston
Department of Civil Infrastructure and Environmental Engineering,
Khalifa University of Science and Technology, Masdar City, P.O. Box 54224
Abu Dhabi, United Arab Emirates
Naira Chaouch
NOAA CREST Institute, City University of New York, 160 Convent Avenue, New York, NY 10031,
USA
Oliver Branch
Institute of Physics and Meteorology, University of Hohenheim,
Garbenstraße 30, 70599 Stuttgart, Germany
Thomas Schwitalla
Institute of Physics and Meteorology, University of Hohenheim,
Garbenstraße 30, 70599 Stuttgart, Germany
Volker Wulfmeyer
Institute of Physics and Meteorology, University of Hohenheim,
Garbenstraße 30, 70599 Stuttgart, Germany
Xiwu Zhan
NOAA-NESDIS Center for Satellite Applications and Research (STAR), 5830 University Research Court College Park, MD 20740, USA
Jicheng Liu
NOAA-NESDIS Center for Satellite Applications and Research (STAR), 5830 University Research Court College Park, MD 20740, USA
ESSIC/CICS, University of Maryland College Park, College Park, MD 20740, USA
Abdulla Al Mandous
National Center of Meteorology (NCM), P.O. Box 4815, Abu Dhabi,
United Arab Emirates
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Atmos. Chem. Phys., 21, 12543–12560, https://doi.org/10.5194/acp-21-12543-2021, https://doi.org/10.5194/acp-21-12543-2021, 2021
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Geosci. Model Dev., 13, 1959–1974, https://doi.org/10.5194/gmd-13-1959-2020, https://doi.org/10.5194/gmd-13-1959-2020, 2020
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Maik Renner, Claire Brenner, Kaniska Mallick, Hans-Dieter Wizemann, Luigi Conte, Ivonne Trebs, Jianhui Wei, Volker Wulfmeyer, Karsten Schulz, and Axel Kleidon
Hydrol. Earth Syst. Sci., 23, 515–535, https://doi.org/10.5194/hess-23-515-2019, https://doi.org/10.5194/hess-23-515-2019, 2019
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We estimate the phase lag of surface states and heat fluxes to incoming solar radiation at the sub-daily timescale. While evapotranspiration reveals a minor phase lag, the vapor pressure deficit used as input by Penman–Monteith approaches shows a large phase lag. The surface-to-air temperature gradient used by energy balance residual approaches shows a small phase shift in agreement with the sensible heat flux and thus explains the better correlation of these models at the sub-daily timescale.
Takuya Kawabata, Thomas Schwitalla, Ahoro Adachi, Hans-Stefan Bauer, Volker Wulfmeyer, Nobuhiro Nagumo, and Hiroshi Yamauchi
Geosci. Model Dev., 11, 2493–2501, https://doi.org/10.5194/gmd-11-2493-2018, https://doi.org/10.5194/gmd-11-2493-2018, 2018
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We implemented two observational operators for dual polarimetric radars in two variational data assimilation systems: WRF Var and NHM-4DVAR. The operators consist of a space interpolator and two types of variable converters. The first variable converter emulates polarimetric parameters with model prognostic variables, and the second derives rainwater content from the observed polarimetric parameter. The system worked properly in verification and assimilation tests.
Armin Geisinger, Andreas Behrendt, Volker Wulfmeyer, Jens Strohbach, Jochen Förstner, and Roland Potthast
Atmos. Meas. Tech., 10, 4705–4726, https://doi.org/10.5194/amt-10-4705-2017, https://doi.org/10.5194/amt-10-4705-2017, 2017
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Min Huang, Gregory R. Carmichael, James H. Crawford, Armin Wisthaler, Xiwu Zhan, Christopher R. Hain, Pius Lee, and Alex B. Guenther
Geosci. Model Dev., 10, 3085–3104, https://doi.org/10.5194/gmd-10-3085-2017, https://doi.org/10.5194/gmd-10-3085-2017, 2017
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Various sensitivity simulations during two airborne campaigns were performed to assess the impact of different initialization methods and model resolutions on NUWRF-modeled weather states, heat fluxes, and the follow-on MEGAN isoprene emission calculations. Proper land initialization is shown to be important to the coupled weather modeling and the follow-on emission modeling, which is also critical to accurately representing other processes in air quality modeling and data assimilation.
Thomas Schwitalla, Hans-Stefan Bauer, Volker Wulfmeyer, and Kirsten Warrach-Sagi
Geosci. Model Dev., 10, 2031–2055, https://doi.org/10.5194/gmd-10-2031-2017, https://doi.org/10.5194/gmd-10-2031-2017, 2017
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Due to computational constraints, extended-range forecasts on the convection-permitting (CP) scale are often performed using a limited-area model. To overcome disturbances by lateral boundary conditions, a CP latitude belt simulation in the Northern Hemisphere was performed for July and August 2013. This approach allows for the study of resolution and parameterization impacts. The results demonstrate an improved representation of the general circulation and precipitation patterns.
Andreas Macke, Patric Seifert, Holger Baars, Christian Barthlott, Christoph Beekmans, Andreas Behrendt, Birger Bohn, Matthias Brueck, Johannes Bühl, Susanne Crewell, Thomas Damian, Hartwig Deneke, Sebastian Düsing, Andreas Foth, Paolo Di Girolamo, Eva Hammann, Rieke Heinze, Anne Hirsikko, John Kalisch, Norbert Kalthoff, Stefan Kinne, Martin Kohler, Ulrich Löhnert, Bomidi Lakshmi Madhavan, Vera Maurer, Shravan Kumar Muppa, Jan Schween, Ilya Serikov, Holger Siebert, Clemens Simmer, Florian Späth, Sandra Steinke, Katja Träumner, Silke Trömel, Birgit Wehner, Andreas Wieser, Volker Wulfmeyer, and Xinxin Xie
Atmos. Chem. Phys., 17, 4887–4914, https://doi.org/10.5194/acp-17-4887-2017, https://doi.org/10.5194/acp-17-4887-2017, 2017
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This article provides an overview of the instrumental setup and the main results obtained during the two HD(CP)2 Observational Prototype Experiments HOPE-Jülich and HOPE-Melpitz conducted in Germany in April–May and Sept 2013, respectively. Goal of the field experiments was to provide high-resolution observational datasets for both, improving the understaning of boundary layer and cloud processes, as well as for the evaluation of the new ICON model that is run at 156 m horizontal resolution.
Paolo Di Girolamo, Marco Cacciani, Donato Summa, Andrea Scoccione, Benedetto De Rosa, Andreas Behrendt, and Volker Wulfmeyer
Atmos. Chem. Phys., 17, 745–767, https://doi.org/10.5194/acp-17-745-2017, https://doi.org/10.5194/acp-17-745-2017, 2017
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This paper reports what we believe are the first measurements throughout the atmospheric convective boundary layer of higher-order moments (up to the fourth) of the turbulent fluctuations of water vapour mixing ratio and temperature performed by a single lidar system, i.e. the Raman lidar system BASIL. These measurements, in combination with measurements from other lidar systems, are fundamental to verify and possibly improve turbulence parametrisation in weather and climate models.
Armin Geisinger, Andreas Behrendt, Volker Wulfmeyer, Jens Strohbach, Jochen Förstner, Roland Potthast, and Ina Mattis
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2016-609, https://doi.org/10.5194/acp-2016-609, 2016
Revised manuscript not accepted
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Hereby, we present a new backscatter lidar forward operator which allows for a quantitative comparison of atmospheric chemistry models and backscatter lidar measurements. We applied the operator on model predictions of the 2010 Eyjafjallajökull eruption where the model obviously overestimated the ash concentration. Uncertainties of the operator were minimized by applying averaging algorithms and performing sensitivity studies. Further steps towards quantitative model validation were identified.
Florian Späth, Andreas Behrendt, Shravan Kumar Muppa, Simon Metzendorf, Andrea Riede, and Volker Wulfmeyer
Atmos. Meas. Tech., 9, 1701–1720, https://doi.org/10.5194/amt-9-1701-2016, https://doi.org/10.5194/amt-9-1701-2016, 2016
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The scanning differential absorption lidar (DIAL) of the University of Hohenheim measures water vapor with high temporal and spatial resolutions. In this paper, DIAL measurements of three different scan modes are presented which allow for new insights into the three-dimensional water vapor structure in the atmospheric boundary layer (ABL). A new method to determine the noise level of scanning measurements was developed, showing uncertainties of < 7 % within the ABL.
A. Behrendt, V. Wulfmeyer, E. Hammann, S. K. Muppa, and S. Pal
Atmos. Chem. Phys., 15, 5485–5500, https://doi.org/10.5194/acp-15-5485-2015, https://doi.org/10.5194/acp-15-5485-2015, 2015
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The exchange of energy between the Earth surface and the atmosphere is governed by turbulent processes which form the convective boundary layer (CBL) in daytime. The representation of the CBL in atmospheric models is critical, e.g., for the simulation of clouds and precipitation. We show that a new active remote-sensing technique, rotational Raman lidar, characterizes the turbulent temperature fluctuations in the CBL better than previous techniques and discuss the statistics of a typical case.
E. Hammann, A. Behrendt, F. Le Mounier, and V. Wulfmeyer
Atmos. Chem. Phys., 15, 2867–2881, https://doi.org/10.5194/acp-15-2867-2015, https://doi.org/10.5194/acp-15-2867-2015, 2015
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Measurements and upgrades of the rotational Raman lidar of the University of Hohenheim during the HD(CP)2 Observational Prototype Experiment are presented in this paper. This includes 25h long time series of temperature gradients and water vapor mixing ratio. Through simulation, optimum wavelengths for high- and low-background cases were identified and tested successfully. Low-elevation measurements were performed to measure temperature gradients at altitudes around 100m above ground level.
E. Zehe, U. Ehret, L. Pfister, T. Blume, B. Schröder, M. Westhoff, C. Jackisch, S. J. Schymanski, M. Weiler, K. Schulz, N. Allroggen, J. Tronicke, L. van Schaik, P. Dietrich, U. Scherer, J. Eccard, V. Wulfmeyer, and A. Kleidon
Hydrol. Earth Syst. Sci., 18, 4635–4655, https://doi.org/10.5194/hess-18-4635-2014, https://doi.org/10.5194/hess-18-4635-2014, 2014
F. Späth, A. Behrendt, S. K. Muppa, S. Metzendorf, A. Riede, and V. Wulfmeyer
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acpd-14-29057-2014, https://doi.org/10.5194/acpd-14-29057-2014, 2014
Revised manuscript has not been submitted
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The scanning differential absorption lidar (DIAL) of the University of Hohenheim is presented.
We show the design of the instrument and illustrate its performance with recent water vapor measurements taken in Stuttgart-Hohenheim and in the frame of HOPE. Scanning measurements reveal the 3-dimensional structures of the water vapor field.
The influence of uncertainties within the calculation of the absorption cross-section at wavelengths around 818 nm for the WV retrieval is discussed.
S. Kotlarski, K. Keuler, O. B. Christensen, A. Colette, M. Déqué, A. Gobiet, K. Goergen, D. Jacob, D. Lüthi, E. van Meijgaard, G. Nikulin, C. Schär, C. Teichmann, R. Vautard, K. Warrach-Sagi, and V. Wulfmeyer
Geosci. Model Dev., 7, 1297–1333, https://doi.org/10.5194/gmd-7-1297-2014, https://doi.org/10.5194/gmd-7-1297-2014, 2014
O. Branch, K. Warrach-Sagi, V. Wulfmeyer, and S. Cohen
Hydrol. Earth Syst. Sci., 18, 1761–1783, https://doi.org/10.5194/hess-18-1761-2014, https://doi.org/10.5194/hess-18-1761-2014, 2014
K. Becker, V. Wulfmeyer, T. Berger, J. Gebel, and W. Münch
Earth Syst. Dynam., 4, 237–251, https://doi.org/10.5194/esd-4-237-2013, https://doi.org/10.5194/esd-4-237-2013, 2013
Y. Luo, X. Feng, P. Houser, V. Anantharaj, X. Fan, G. De Lannoy, X. Zhan, and L. Dabbiru
Geosci. Instrum. Method. Data Syst., 2, 113–120, https://doi.org/10.5194/gi-2-113-2013, https://doi.org/10.5194/gi-2-113-2013, 2013
Related subject area
Hydrological Hazards
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
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
Brief Communication: Stay local or go global? On the construction of plausible counterfactual scenarios to assess flash flood hazards
An improved dynamic bidirectional coupled hydrologic–hydrodynamic model for efficient flood inundation prediction
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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
Tangible and intangible ex-post assessment of flood-induced damages to cultural heritage
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
Impact of drought hazards on flow regimes in anthropogenically impacted streams: an isotopic perspective on climate stress
A multivariate statistical framework for mixed populations in compound flood analysis
Limited effect of the confluence angle and tributary gradient on Alpine confluence morphodynamics under intense sediment loads
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Added value of seasonal hindcasts to create UK hydrological drought storylines
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CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment): a new model for geo-hydrological hazard assessment at the basin scale
The cascading effect of wildfires on flood risk: a study case in Ebro River basin Spain
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)
Integrating multi-hazard susceptibility and building exposure: A case study for Quang Nam province, Vietnam
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
Review article: Towards improved drought prediction in the Mediterranean region – modeling approaches and future directions
Mind the Gap: Misalignment Between Drought Monitoring and Community Realities
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Assessing the ability of a new seamless short-range ensemble rainfall product to anticipate flash floods in the French Mediterranean area
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.
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.
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-119, https://doi.org/10.5194/nhess-2024-119, 2024
Revised manuscript accepted for NHESS
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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 if" scenarios, 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 future flood preparation.
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.
Claudia De Lucia, Michele Amaddii, and Chiara Arrighi
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-104, https://doi.org/10.5194/nhess-2024-104, 2024
Revised manuscript accepted for NHESS
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The work describes the flood damages to cultural heritage (CH) occurred in the event of September 2022 in Central Italy. Datasets related to flood impacts to cultural heritage are rare and this work aims at highlighting both tangible and intangible aspects and their correlation with physical characteristics of the flood, i.e., water depth and flow velocity. The results show that current knowledge and datasets are inadequate for risk assessment of CH.
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.
Maria Magdalena Warter, Dörthe Tetzlaff, Christian Marx, and Chris Soulsby
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-44, https://doi.org/10.5194/nhess-2024-44, 2024
Revised manuscript accepted for NHESS
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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 NE Germany, using stable water isotopes, shows strong groundwater dependence with seasonal rainfall contributing to high/low flows. Understanding streamflow variability can help assess the impacts of climate change on future water resource management.
Pravin Maduwantha, Thomas Wahl, Sara Santamaria-Aguilar, Robert Andrew Jane, James F. Booth, Hanbeen Kim, and Gabriele Villarini
EGUsphere, https://doi.org/10.5194/egusphere-2024-1122, https://doi.org/10.5194/egusphere-2024-1122, 2024
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Most of the studies on compound flooding assume events that generate extreme rainfall and coastal water level responses originate from a single population, in reality, they originate from multiple populations each with unique statistical characteristics. This paper presents a flexible statistical framework for assessing the compound flood potential from multiple flood drivers that explicitly accounts for different event types.
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.
Zhi Li, Hanqi Li, Zhibo Zhang, Chaomeng Dai, and Simin Jiang
EGUsphere, https://doi.org/10.5194/egusphere-2024-1088, https://doi.org/10.5194/egusphere-2024-1088, 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 influence of building collapse on rainfall-driven and river-driven flood are different because these two types of floods have different origination and propagation mechanisms.
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.
Bruno Merz, Günter Blöschl, Robert Jüpner, Heidi Kreibich, Kai Schröter, and Sergiy Vorogushyn
EGUsphere, https://doi.org/10.5194/egusphere-2024-856, https://doi.org/10.5194/egusphere-2024-856, 2024
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We discuss the validation of flood hazard and risk assessments (FHRAs) to ensure they are useful for decision-making. We propose a new validation framework that considers not only technical aspects but also the real-world context in which decisions are made. By applying this framework to flood emergency planning, we demonstrate its practicality.
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.
Samuel Jonson Sutanto, Matthijs Janssen, Mariana Madruga de Brito, and Maria del Pozo Garcia
EGUsphere, https://doi.org/10.5194/egusphere-2024-153, https://doi.org/10.5194/egusphere-2024-153, 2024
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A conventional flood risk assessment only evaluates flood hazard in isolation without considering wildfires. This study, therefore, evaluates the cascading impact 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 cascading impacts of wildfires, highlighting the importance of adopting a multi-hazard risk management approach.
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.
Chinh Luu, Giuseppe Forino, Lynda Yorke, Hang Ha, Quynh Duy Bui, Hanh Hong Tran, Dinh Quoc Nguyen, Hieu Cong Duong, and Matthieu Kervyn
EGUsphere, https://doi.org/10.5194/egusphere-2024-57, https://doi.org/10.5194/egusphere-2024-57, 2024
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The study produced a novel and integrated approach to assessing the climate hazards of floods and wildfires. We explored multi-hazards assessment and risk through a machine learning modelling approach. The process includes (1) collecting a database of topography, climate, geology, environment, and building data, (2) developing models for multi-hazards assessment and coding in Google Earth Engine, and (3) producing credible multi-hazard susceptibility and building exposure maps.
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.
Bouchra Zellou, Nabil El Moçayd, and El Houcine Bergou
Nat. Hazards Earth Syst. Sci., 23, 3543–3583, https://doi.org/10.5194/nhess-23-3543-2023, https://doi.org/10.5194/nhess-23-3543-2023, 2023
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In this study, we underscore the critical importance of strengthening drought prediction capabilities in the Mediterranean region. We present an in-depth evaluation of current drought forecasting approaches, encompassing statistical, dynamical, and hybrid statistical–dynamical models, and highlight unexplored research opportunities. Additionally, we suggest viable directions to enhance drought prediction and early warning systems within the area.
Sarra Kchouk, Louise Cavalcante, Lieke A. Melsen, David W. Walker, Germano Ribeiro Neto, Rubens Gondim, Wouter J. Smolenaars, and Pieter R. van Oel
EGUsphere, https://doi.org/10.5194/egusphere-2023-2726, https://doi.org/10.5194/egusphere-2023-2726, 2023
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Droughts impact water and people, yet monitoring often overlooks impacts on people. In Northeast Brazil, we assess official data against local experiences, finding data mismatches and blindspots. Mismatches occur due to the data's broad scope missing finer details. Blindspots arise from ignoring diverse community responses and vulnerabilities to droughts. We suggest enhanced monitoring by technical extension officers for both severe and mild droughts.
Francisco Rodrigues do Amaral, Nicolas Gratiot, Thierry Pellarin, and Tran Anh Tu
Nat. Hazards Earth Syst. Sci., 23, 3379–3405, https://doi.org/10.5194/nhess-23-3379-2023, https://doi.org/10.5194/nhess-23-3379-2023, 2023
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We propose an in-depth analysis of typhoon-induced compound flood drivers in the megacity of Ho Chi Minh, Vietnam. We use in situ and satellite measurements throughout the event to form a holistic overview of its impact. No evidence of storm surge was found, and peak precipitation presents a 16 h time lag to peak river discharge, which evacuates only 1.5 % of available water. The astronomical tide controls the river level even during the extreme event, and it is the main urban flood driver.
Juliette Godet, Olivier Payrastre, Pierre Javelle, and François Bouttier
Nat. Hazards Earth Syst. Sci., 23, 3355–3377, https://doi.org/10.5194/nhess-23-3355-2023, https://doi.org/10.5194/nhess-23-3355-2023, 2023
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This article results from a master's research project which was part of a natural hazards programme developed by the French Ministry of Ecological Transition. The objective of this work was to investigate a possible way to improve the operational flash flood warning service by adding rainfall forecasts upstream of the forecasting chain. The results showed that the tested forecast product, which is new and experimental, has a real added value compared to other classical forecast products.
Cited articles
Ackerman, S. A., Strabala, K. I., Menzel, W. P., Frey, R. A., Moeller, C. C.,
and Gumley, L. E.: Discriminating clear sky from clouds with MODIS, J.
Geophys. Res., 103, 32141–132157, 1998.
AlJassar, H. K., Petrov, P., Entekhabi, D., Temimi, M., Kodiyan, N., and
Ansari, M.: Preliminary field results of soil moisture from Kuwait desert as
a core validation site of SMAP satellite, Geoscience and Remote Sensing
Symposium (IGARSS), 2015 IEEE International, 972–975, 2015.
Almazroui, M., Islam, M. N., Jones, P., Athar, H., and Rahman, M. A.: Recent
climate change in the Arabian Peninsula: seasonal rainfall and temperature
climatology of Saudi Arabia for 1979–2009, Atmos. Res., 111, 29–45, 2012.
AlSarmi, S. and Washington, R.: Recent observed climate change over the
Arabian Peninsula, J. Geophys. Res.-Atmos., 116, D11109, 15 pp., 2011.
Argüeso, D., Hidalgo-Muñoz, J. M., Gámiz-Fortis, S. R.,
Esteban-Parra, M. J., Dudhia, J., and Castro-Díez, Y.: Evaluation of WRF
parameterizations for climate studies over Southern Spain using a multistep
regionalization, J. Clim., 24, 5633–5651, 2011.
Arnault, J., Wagner, S., Rummler, T., Fersch, B., Bliefernicht, J., Andresen,
S., and Kunstmann, H.: Role of runoff–infiltration partitioning and resolved
overland flow on land–atmosphere feedbacks: A case study with the WRF-Hydro
coupled modeling system for west africa, J. Hydrometeorol., 17, 1489–1516,
2016.
Awad, A. K. A., Ajjaji, R., and Dhanhani, A.: Automatic two-way nested WRF
Middle-East numerical weather forecast application, WRF user's
workshop, National Center for Atmospheric Research, Boulder, CO, USA, 2007.
Benesty, J., Chen, J., Huang, Y., and Cohen, I.: Pearson correlation
coefficient, in: Noise reduction in speech processing, Springer, 1–4, 2009.
Blašković, T.: Severe weather hits UAE and Oman: thunderstorms, large hail and severe flooding, The Watchers – Daily news service, Watchers.NEWS, available at: https://watchers.news/2016/03/09/severe-weather-hits-uae-and-oman-thunderstorms-large-hail-and-severe-flooding/ (last
access: 15 January 2018), 9 March 2016.
Chaouch, N., Temimi, M., Weston, M., and Ghedira, H.: Sensitivity of the
meteorological model WRF-ARW to planetary boundary layer schemes during fog
conditions in a coastal arid region, Atmos. Res., 187, 106–127, 2017.
Christensen, O., Gaertner, M., Prego, J., and Polcher, J.: Internal
variability of regional climate models, Clim. Dynam., 17, 875–887, 2001.
Díaz, J., González, A., Expósito, F., Pérez, J.,
Fernández, J., García-Díez, M., and Taima, D.: WRF
multi-physics simulation of clouds in the African region, Q. J. Roy. Meteor.
Soc., 141, 2737–2749, 2015.
Ek, M., Mitchell, K., Lin, Y., Rogers, E., Grunmann, P., Koren, V., Gayno,
G., and Tarpley, J.: Implementation of Noah land surface model advances in
the National Centers for Environmental Prediction operational mesoscale Eta
model, J. Geophys. Res.-Atmos., 108, 8851, 16 pp.,
2003.
El Afandi, G., Morsy, M., and El Hussieny, F.: Heavy rainfall simulation over
sinai peninsula using the weather research and forecasting model, Int. J.
Atmos. Sci., 2013, 241050, 11 pp., 2013.
Eltahir, E. A.: A soil moisture–rainfall feedback mechanism: 1. Theory and
observations, Water Resour. Res., 34, 765–776, 1998.
Fang, H. Y., Cai, Q. G., Chen, H., and Li, Q. Y.: Mechanism of formation of
physical soil crust in desert soils treated with straw checkerboards, Soil
Till. Res., 93, 222–230, 2007.
Fares, A., Temimi, M., Morgan, K., and Kelleners, T. J.: In-situ
and remote
soil moisture sensing technologies for vadose zone hydrology, Vadose Zone J.,
12, 1–3, 2013.
Fekete, B. M., Vörösmarty, C. J., Roads, J. O., and Willmott, C. J.:
Uncertainties in precipitation and their impacts on runoff estimates, J.
Clim., 17, 294–304, 2004.
Fiori, E., Comellas, A., Molini, L., Rebora, N., Siccardi, F., Gochis, D.,
Tanelli, S., and Parodi, A.: Analysis and hindcast simulations of an extreme
rainfall event in the Mediterranean area: The Genoa 2011 case, Atmos. Res.,
138, 13–29, 2014.
GES DISC: GPM_3IMERGDL.05, available at: https://disc.gsfc.nasa.gov/, last access: 15 January 2018.
Ghebreyesus, D. T., Temimi, M., Fares, A., and Bayabil, H. K.: A
Multi-Satellite Approach for Water Storage Monitoring in an Arid Watershed,
Geosciences, 6, 1–14, 2016a.
Ghebreyesus, D. T., Temimi, M., Fares, A., and Bayabil, H. K.: Remote Sensing
Applications for Monitoring Water Resources in the UAE Using Lake Zakher as a
Water Storage Gauge, in: Emerging Issues in Groundwater Resources, Springer,
145–157, 2016b.
Givati, A., Lynn, B., Liu, Y., and Rimmer, A.: Using the WRF model in an
operational streamflow forecast system for the Jordan River, J. Appl.
Meteorol. Clim., 51, 285–299, 2011.
Givati, A., Gochis, D., Rummler, T., and Kunstmann, H.: Comparing One-Way and
Two-Way Coupled Hydrometeorological Forecasting Systems for Flood Forecasting
in the Mediterranean Region, Hydrology, 3, 1–21, 2016.
Gochis, D. and Sampson, K.: WRF Hydro GIS Pre-Processing Tools: Version 2.2
Documentation, National Center for Atmospheric Research, Research
Applications Laboratory, Boulder, Colorado, 39, 1–44, 2015.
Gochis, D. J., Yu, W., and Yates, D. N.: The WRF-Hydro model technical description and user’s guide, version 1.0, Ncar technical document, National Center for Atmospheric Research, Boulder, CO, USA, 120 pp., 2013.
Gochis, D., Yu, W., Sampson, K., Dugger, A., McCreight, J., Zhang, Y., and
Ikeda, K.: Multi-scale model analysis and hindcast of the 2013 Colorado
Flood, EGU General Assembly Conference Abstracts, EGU General Assembly, Vienna, Austria, 12–17 April 2015, 7531, 2015.
Hariprasad, K., Srinivas, C., Singh, A. B., Rao, S. V. B., Baskaran, R., and
Venkatraman, B.: Numerical simulation and intercomparison of boundary layer
structure with different PBL schemes in WRF using experimental observations
at a tropical site, Atmos. Res., 145, 27–44, 2014.
Hu, X.-M., Nielsen-Gammon, J. W., and Zhang, F.: Evaluation of three
planetary boundary layer schemes in the WRF model, J. Appl. Meteorol. Clim.,
49, 1831–1844, 2010.
Huffman, G. J., Bolvin, D. T., Nelkin, E. J., Wolff, D. B., Adler, R. F., Gu,
G., Hong, Y., Bowman, K. P., and Stocker, E. F.: The TRMM multisatellite
precipitation analysis (TMPA): Quasi-global, multiyear, combined-sensor
precipitation estimates at fine scales, J. Hydrometeorol., 8, 38–55, 2007.
Huffman, G. J., Bolvin, D. T., Braithwaite, D., Hsu, K., Joyce, R., and Xie,
P.: NASA Global Precipitation Measurement (GPM) Integrated Multi-satellitE
Retrievals for GPM (IMERG), NASA Report, 1–35, 2014.
Iacono, M. J., Delamere, J. S., Mlawer, E. J., Shephard, M. W., Clough, S.
A., and Collins, W. D.: Radiative forcing by long-lived greenhouse gases:
Calculations with the AER radiative transfer models, J. Geophys. Res.-Atmos.,
113, D13103, 8 pp., 2008.
Koster, R. D., Dirmeyer, P. A., Guo, Z., Bonan, G., Chan, E., Cox, P.,
Gordon, C., Kanae, S., Kowalczyk, E., and Lawrence, D.: Regions of strong
coupling between soil moisture and precipitation, Science, 305, 1138–1140,
2004.
Kotarba, A. Z.: Estimation of fractional cloud cover for Moderate Resolution
Imaging Spectroradiometer/Terra cloud mask classes with high-resolution over
ocean ASTER observations, J. Geophys. Res.-Atmos., 115, D22210, 11 pp., 2010.
Larsen, M. A., Christensen, J. H., Drews, M., Butts, M. B., and Refsgaard, J.
C.: Local control on precipitation in a fully coupled climate-hydrology
model, Sci. Rep., 6, 22927, https://doi.org/10.1038/srep22927, 2016.
Lazzarini, M., Marpu, P. R., Eissa, Y., and Ghedira, H.: Toward a near
real-time product of air temperature maps from satellite data and in situ
measurements in arid environments, IEEE J. Sel. Top. Appl., 7, 3093–3104,
2014.
Liu, J., Zhan, X., Hain, C., Yin, J., Fang, L., Li, Z., and Zhao, L.: NOAA
Soil Moisture Operational Product System (SMOPS) and its validations, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 10–15 July 2016, Beijing, China, https://doi.org/10.1109/IGARSS.2016.7729899, 2016.
Lo, J. C. F., Yang, Z. L., and Pielke, R. A.: Assessment of three dynamical
climate downscaling methods using the Weather Research and Forecasting (WRF)
model, J. Geophys. Res.-Atmos., 113, D09112, 16 pp.,
2008.
Mandoos, A.: Synoptic and atmospheric stability classification for the United
Arab Emirates, Msc. Thesis, Johannesburg, University of the Witwatersrand,
2006.
Milewski, A., Elkadiri, R., and Durham, M.: Assessment and comparison of tmpa
satellite precipitation products in varying climatic and topographic regimes
in morocco, Remote Sens., 7, 5697–5717, 2015.
Mlawer, E. J., Taubman, S. J., Brown, P. D., Iacono, M. J., and Clough, S.
A.: Radiative transfer for inhomogeneous atmospheres: RRTM, a validated
correlated-k model for the longwave, J. Geophys. Res.-Atmos., 102,
16663–16682, 1997.
Monin, A. and Obukhov, A.: Basic laws of turbulent mixing in the surface
layer of the atmosphere, Contrib. Geophys. Inst. Acad. Sci. USSR, 151,
163–187, 1954.
Morrison, H., Thompson, G., and Tatarskii, V.: Impact of cloud microphysics
on the development of trailing stratiform precipitation in a simulated squall
line: Comparison of one-and two-moment schemes, Mon. Weather Rev., 137,
991–1007, 2009.
NASA and USGS: MODIS/Terra Joint Cloud, Aerosol, Water Vapour and Profile, available at: https://lpdaac.usgs.gov/, last access: 15 January 2018.
NCAR: NCEP GFS Model Analysis and Forecast, available at: https://rda.ucar.edu/, last access: 15 January 2018.
Nielsen-Gammon, J. W., Zhang, F., Odins, A. M., and Myoung, B.: Extreme
rainfall in Texas: Patterns and predictability, Phys. Geogr., 26, 340–364,
2005.
Niu, G. Y.: The Community NOAH Land-surface
Model (LSM) with Multi-physics Options, Tech. rep., National Centers for Environmental Prediction (NCEP), Oregon State University, Air Force, and Hydrology Lab–NWS, https://www.jsg.utexas.edu/noah-mp/users-guide/ (last access: 2 February 2017), 2011.
Niu, G. Y., Yang, Z. L., Mitchell, K. E., Chen, F., Ek, M. B., Barlage, M.,
Kumar, A., Manning, K., Niyogi, D., and Rosero, E.: The community Noah land
surface model with multiparameterization options (Noah-MP): 1. Model
description and evaluation with local-scale measurements, J. Geophys.
Res.-Atmos., 116, D12109, 19 pp., 2011.
Njoku, E. G. and Chan, S. K.: Vegetation and surface roughness effects on
AMSR-E land observations, Remote Sens. Environ., 100, 190–199, 2006.
Otkin, J. A. and Greenwald, T. J.: Comparison of WRF model-simulated and
MODIS-derived cloud data, Mon. Weather Rev., 136, 1957–1970, 2008.
Ouarda, T., Charron, C., Kumar, K. N., Marpu, P., Ghedira, H., Molini, A.,
and Khayal, I.: Evolution of the rainfall regime in the United Arab Emirates,
J. Hydrol., 514, 258–270, 2014.
Park, N.-W., Hong, S., Kyriakidis, P. C., Lee, W., and Lyu, S.-J.:
Geostatistical downscaling of AMSR2 precipitation with COMS infrared
observations, Int. J. Remote Sens., 37, 3858–3869, 2016.
Parodi, A., Hooper, R., Jha, S., and Zaslavsky, I.: Advancing
hydrometeorological prediction capabilities through standards-based
cyberinfrastructure development: The community WRF-Hydro modeling system, EGU
General Assembly Conference Abstracts, Vienna, Austria, 7–12 April 2013, EGU2013-6011, 2013.
Platnick, S., Ackerman, S., King, M., Meyer, K., Menzel, W., Holz, R., Baum,
B., and Yang, P.: MODIS atmosphere L2 cloud product (06_L2), NASA MODIS
Adaptive Processing System, Goddard Space Flight Center, 10, 1–53, 2015.
Powers, J. G., Klemp, J. B., Skamarock, W. C., Davis, C. A., Dudhia, J.,
Gill, D. O., Coen, J. L., Gochis, D. J., Ahmadov, R., and Peckham, S. E.: The
weather research and forecasting model: Overview, system efforts, and future
directions, B. Am. Meteorol. Soc., 98, 1717–1737, 2017.
Read, L.: Street Level Hydrology: An Urban Application of the WRF-Hydro
Framework in Denver, Colorado, AGU Fall Meeting, American Geophysical Union
Fall Meeting, 14–18 December 2015,
San Francisco, California, USA, H51I-1499, 2015.
REMSS: AMSR2/AMSRE, available at: http://www.remss.com/missions/amsr/, last access: 15 January 2018.
Sathiyamoorthy, V., Mahesh, C., Gopalan, K., Prakash, S., Shukla, B. P., and
Mathur, A.: Characteristics of low clouds over the Arabian Sea, J. Geophys.
Res.-Atmos., 118, 13489–13503, 2013.
Seidel, D. J., Ao, C. O., and Li, K.: Estimating climatological planetary
boundary layer heights from radiosonde observations: Comparison of methods
and uncertainty analysis, J. Geophys. Res.-Atmos., 115, 16 pp., 2010.
Senatore, A., Mendicino, G., Gochis, D. J., Yu, W., Yates, D. N., and
Kunstmann, H.: Fully coupled atmosphere-hydrology simulations for the central
Mediterranean: Impact of enhanced hydrological parameterization for short and
long time scales, J. Adv. Model. Earth Sy., 7, 1693–1715, 2015.
Shin, H. H. and Hong, S.-Y.: Intercomparison of planetary boundary-layer
parametrizations in the WRF model for a single day from CASES-99, Bound.-Lay.
Meteorol., 139, 261–281, 2011.
Silver, M., Karnieli, A., Ginat, H., Meiri, E., and Fredj, E.: An innovative
method for determining hydrological calibration parameters for the WRF-Hydro
model in arid regions, Environ. Modell. Softw., 91, 47–69, 2017.
Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D. M., Wang,
W., and Powers, J. G.: A description of the advanced research WRF version 2,
DTIC Document, 1–101,
2005.
Smart, J. R., Shaw, B. L., and McCaslin, P.: WRF SI V2. 0: Nesting and details of terrain processing. Technical Report, NOAA Forecast Systems Laboratory, Boulder, Colorado, available at: http://sgi200.ust.hk/mm5/workshop/ws04/Session6/Smart.John.pdf (last
access: 15 January 2018), 2005.
Tarboton, D. G., Bras, R. L., and Rodriguez-Iturbe, I.: On the extraction of
channel networks from digital elevation data, Hydrol. Process., 5, 81–100,
1991.
Temimi, M., Lakhankar, T., Zhan, X., Cosh, M. H., Krakauer, N., Fares, A.,
Kelly, V., Khanbilvardi, R., and Kumassi, L.: Soil moisture retrieval using
ground-based L-band passive microwave observations in northeastern USA,
Vadose Zone J., 13, 15 pp., 2014.
Toutin, T.: ASTER DEMs for geomatic and geoscientific applications: a review,
Int. J. Remote Sens., 29, 1855–1875, 2008.
Tsvieli, Y. and Zangvil, A.: Synoptic climatological analysis of Red Sea
Trough and non-Red Sea Trough rain situations over Israel, Adv. Geosci., 12,
137–143, 2007.
Unal, E.: Modeling the Colorado Front Range Flood of 2013 with Coupled WRF
and WRF-Hydro System, AGU Fall Meeting, American Geophysical Union
Fall Meeting, 14–18 December 2015,
San Francisco, California, USA,
H51E-1413, 2015.
Wang, P., Jiang, L., Zhang, L., and Guo, Y.: Impact of terrain topography on
retrieval of snow water equivalence using passive microwave remote sensing,
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International,
1757–1760, 2010.
Wang, W. and Seaman, N. L.: A comparison study of convective parameterization
schemes in a mesoscale model, Mon. Weather Rev., 125, 252–278, 1997.
Wehbe, Y., Ghebreyesus, D., Temimi, M., Milewski, A., and Al Mandous, A.:
Assessment of the consistency among global precipitation products over the
United Arab Emirates, J. Hydrol., 12, 122–135, 2017.
Wehbe, Y., Temimi, M., Ghebreyesus, D. T., Milewski, A., Norouzi, H., and
Ibrahim, E.: Consistency of precipitation products over the Arabian Peninsula
and interactions with soil moisture and water storage, Hydrol. Sci.
J., 63, 408–425, 2018.
Wentz, F., Meissner, T., Gentemann, C., Hilburn, K., and Scott, J.: Remote
sensing systems GCOM-W1 AMSR2 daily environmental suite on 0.25 deg grid
Version 7.2, 2014.
Xiang, T., Vivoni, E. R., and Gochis, D. J.: Influence of initial soil
moisture and vegetation conditions on monsoon precipitation events in
northwest México, Atmósfera, 31, 25–45, 2017.
Yang, K., Koike, T., Ishikawa, H., Kim, J., Li, X., Liu, H., Liu, S., Ma, Y.,
and Wang, J.: Turbulent flux transfer over bare-soil surfaces:
characteristics and parameterization, J. Appl. Meteorol. Climatol., 47,
276–290, 2008.
Yang, Z. L., Niu, G. Y., Mitchell, K. E., Chen, F., Ek, M. B., Barlage, M.,
Longuevergne, L., Manning, K., Niyogi, D., and Tewari, M.: The community Noah
land surface model with multiparameterization options (Noah-MP): 2.
Evaluation over global river basins, J. Geophys. Res.-Atmos.,
116, D12110, 16 pp., 2011.
Yousef, L. A. and Ouarda, T.: Adaptation of Water Resources Management to
Changing Climate: The Role of Intensity-Duration-Frequency Curves, Int. J.
Environ. Sci. Dev., 6, 478–483, 2015.
Yucel, I., Onen, A., Yilmaz, K., and Gochis, D.: Calibration and evaluation
of a flood forecasting system: Utility of numerical weather prediction model,
data assimilation and satellite-based rainfall, J. Hydrol., 523, 49–66,
2015.
Zempila, M.-M., Giannaros, T. M., Bais, A., Melas, D., and Kazantzidis, A.:
Evaluation of WRF shortwave radiation parameterizations in predicting Global
Horizontal Irradiance in Greece, Renew. Energ., 86, 831–840, 2016.
Zhan, W., Pan, M., Wanders, N., and Wood, E.: Correction of real-time
satellite precipitation with satellite soil moisture observations, Hydrol.
Earth Syst. Sc., 19, 4275–4291, 2015.
Short summary
The work addresses the need for reliable precipitation forecasts in hyper-arid environments through state-of-the-art hydro-meteorological modeling. Accounting for land–atmosphere interactions in the applied model is shown to improve the accuracy of precipitation output. The chain of events controlling the soil moisture–precipitation feedback are diagnosed and verified by in situ observations and satellite data.
The work addresses the need for reliable precipitation forecasts in hyper-arid environments...
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