Articles | Volume 21, issue 3
https://doi.org/10.5194/nhess-21-995-2021
© Author(s) 2021. 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-21-995-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Mar 2021
Research article |
| 15 Mar 2021
| 15 Mar 2021
Drought impact in the Bolivian Altiplano agriculture associated with the El Niño–Southern Oscillation using satellite imagery data
Claudia Canedo-Rosso
CORRESPONDING AUTHOR
Division of Water Resources Engineering, Lund University, P.O. Box
118, 22100 Lund, Sweden
Instituto de Hidráulica e Hidrología, Universidad Mayor de
San Andrés, Cotacota 30, La Paz, Bolivia
Stefan Hochrainer-Stigler
International Institute for Applied Systems Analysis (IIASA),
Schlossplatz 1, 2361 Laxenburg, Austria
Georg Pflug
International Institute for Applied Systems Analysis (IIASA),
Schlossplatz 1, 2361 Laxenburg, Austria
Institute of Statistics and Operations Research, Faculty of
Economics, University of Vienna, Oskar-Morgenstern-Platz 1, 1090 Vienna,
Austria
Bruno Condori
Inter-American Institute for Cooperation on Agriculture (IICA),
Defensores del Chaco 1997, La Paz, Bolivia
Ronny Berndtsson
Division of Water Resources Engineering, Lund University, P.O. Box
118, 22100 Lund, Sweden
Center for Middle Eastern Studies, Lund University, P.O. Box 201,
22100 Lund, Sweden
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Claudia Canedo Rosso, Stefan Hochrainer-Stigler, Georg Pflug, Bruno Condori, and Ronny Berndtsson
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2018-133, https://doi.org/10.5194/nhess-2018-133, 2018
Manuscript not accepted for further review
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An early warning system with a risk-based approach for drought assessment in the Bolivian Altiplano was established using satellite imagery data focusing on ENSO phases. During warm ENSO phase resulted a great difference in risk and crop yield. ENSO early warning forecasts and possible crop deficits could be established, including the identification of hotspots for the growing season. Our approach could lead a proactive approach for drought management that can include risk reduction instruments.
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With the increasing negative impacts of extreme weather events globally, it's crucial to align efforts to manage disasters with measures to adapt to climate change. We identify challenges in systems and organizations working together. We suggest that collaboration across various fields is essential and propose an approach to improve collaboration, including a framework for better stakeholder engagement and an open-source data system that helps gather and connect important information.
Georg C. Pflug, Viktoria Kittler, and Stefan Hochrainer-Stigler
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-194, https://doi.org/10.5194/nhess-2023-194, 2024
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Multi-hazard events can be devastating and there are indications that in such situations the exposed risk-bearers are affected more severely compared to single-hazard events. We present some statistical modeling approaches to determine possible interrelationships of hazards and tested them for the specific case of the countries within the Danube Region. We especially focused on the question whether certain hazards are more likely to occur due to preceding hazardous events.
Philip J. Ward, James Daniell, Melanie Duncan, Anna Dunne, Cédric Hananel, Stefan Hochrainer-Stigler, Annegien Tijssen, Silvia Torresan, Roxana Ciurean, Joel C. Gill, Jana Sillmann, Anaïs Couasnon, Elco Koks, Noemi Padrón-Fumero, Sharon Tatman, Marianne Tronstad Lund, Adewole Adesiyun, Jeroen C. J. H. Aerts, Alexander Alabaster, Bernard Bulder, Carlos Campillo Torres, Andrea Critto, Raúl Hernández-Martín, Marta Machado, Jaroslav Mysiak, Rene Orth, Irene Palomino Antolín, Eva-Cristina Petrescu, Markus Reichstein, Timothy Tiggeloven, Anne F. Van Loon, Hung Vuong Pham, and Marleen C. de Ruiter
Nat. Hazards Earth Syst. Sci., 22, 1487–1497, https://doi.org/10.5194/nhess-22-1487-2022, https://doi.org/10.5194/nhess-22-1487-2022, 2022
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The majority of natural-hazard risk research focuses on single hazards (a flood, a drought, a volcanic eruption, an earthquake, etc.). In the international research and policy community it is recognised that risk management could benefit from a more systemic approach. In this perspective paper, we argue for an approach that addresses multi-hazard, multi-risk management through the lens of sustainability challenges that cut across sectors, regions, and hazards.
Hamideh Kazemi, Hossein Hashemi, Fatemeh Fadia Maghsood, Seyyed Hasan Hosseini, Ranjan Sarukkalige, Sadegh Jamali, and Ronny Berndtsson
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2019-618, https://doi.org/10.5194/hess-2019-618, 2020
Preprint withdrawn
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This paper uses the Budyko method to investigate mean annual streamflow changes, due to climate variation and human influence, in the important Karkheh River Basin in western Iran. The results show that the observed streamflow decrease in the Karkheh River is associated with both climate variation and human influence. The combination of increased irrigated area, reduction of forests and decreasing annual precipitation has significantly reduced streamflow in the basin.
Ramiro Pillco Zolá, Lars Bengtsson, Ronny Berndtsson, Belen Martí-Cardona, Frederic Satgé, Franck Timouk, Marie-Paule Bonnet, Luis Mollericon, Cesar Gamarra, and José Pasapera
Hydrol. Earth Syst. Sci., 23, 657–668, https://doi.org/10.5194/hess-23-657-2019, https://doi.org/10.5194/hess-23-657-2019, 2019
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The evaporation was computed at a daily time step and compared with the estimated evaporation using mean monthly meteorological observations. We found that the most reliable method of determining the annual lake evaporation is using the heat balance approach.
Roohollah Noori, Mehrnaz Dodangeh, Ronny Berndtsson, Farhad Hooshyaripor, Jan Franklin Adamowski, Saman Javadi, and Akbar Baghvand
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2018-222, https://doi.org/10.5194/hess-2018-222, 2018
Preprint withdrawn
Claudia Canedo Rosso, Stefan Hochrainer-Stigler, Georg Pflug, Bruno Condori, and Ronny Berndtsson
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2018-133, https://doi.org/10.5194/nhess-2018-133, 2018
Manuscript not accepted for further review
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An early warning system with a risk-based approach for drought assessment in the Bolivian Altiplano was established using satellite imagery data focusing on ENSO phases. During warm ENSO phase resulted a great difference in risk and crop yield. ENSO early warning forecasts and possible crop deficits could be established, including the identification of hotspots for the growing season. Our approach could lead a proactive approach for drought management that can include risk reduction instruments.
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Hydrol. Earth Syst. Sci., 21, 5415–5426, https://doi.org/10.5194/hess-21-5415-2017, https://doi.org/10.5194/hess-21-5415-2017, 2017
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This study analyzed the rainy-season precipitation in China influenced by various ENSO types. The precipitation anomalies were investigated under different ENSO types, which may be attributed to the combined influence of anti-cyclone in the western North Pacific and the Indian monsoon. The results improve the understanding of linkages between the precipitation and global teleconnection patterns. The results suggest a certain predictability of flood and drought related to different ENSO types.
H. Hashemi, C. B. Uvo, and R. Berndtsson
Hydrol. Earth Syst. Sci., 19, 4165–4181, https://doi.org/10.5194/hess-19-4165-2015, https://doi.org/10.5194/hess-19-4165-2015, 2015
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In order to evaluate the future water availability in an artificial recharge area located in arid Iran, different climate and water management scenarios were applied. This was done through the simulation of surface water and groundwater by numerical modeling. The results showed that the pumping scenarios have the most substantial effect on groundwater level and continuation of current pumping rate would lead to a total depletion of the aquifer in the upcoming decade.
H. Hashemi, R. Berndtsson, M. Kompani-Zare, and M. Persson
Hydrol. Earth Syst. Sci., 17, 637–650, https://doi.org/10.5194/hess-17-637-2013, https://doi.org/10.5194/hess-17-637-2013, 2013
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Xiaowei Zhao, Tianzeng Yang, Hongbo Zhang, Tian Lan, Chaowei Xue, Tongfang Li, Zhaoxia Ye, Zhifang Yang, and Yurou Zhang
Nat. Hazards Earth Syst. Sci., 24, 3479–3495, https://doi.org/10.5194/nhess-24-3479-2024, https://doi.org/10.5194/nhess-24-3479-2024, 2024
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Baruch Ziv, Uri Dayan, Lidiya Shendrik, and Elyakom Vadislavsky
Nat. Hazards Earth Syst. Sci., 24, 3267–3277, https://doi.org/10.5194/nhess-24-3267-2024, https://doi.org/10.5194/nhess-24-3267-2024, 2024
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The train effect is related to convective cells that pass over the same place. Trains produce heavy rainfall and sometimes floods and are reported in North America during spring and summer. In Israel, 17 trains associated with Cyprus lows were identified by radar images and were found within the cold sector south of the low center and in the left flank of a maximum wind belt; they cross the Israeli coast, with a mean length of 45 km; last 1–3 h; and yield 35 mm of rainfall up to 60 mm.
Andrew Brown, Andrew Dowdy, and Todd P. Lane
Nat. Hazards Earth Syst. Sci., 24, 3225–3243, https://doi.org/10.5194/nhess-24-3225-2024, https://doi.org/10.5194/nhess-24-3225-2024, 2024
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A computer model that simulates the climate of southeastern Australia is shown here to represent extreme wind events associated with convective storms. This is useful as it allows us to investigate possible future changes in the occurrences of these events, and we find in the year 2050 that our model simulates a decrease in the number of occurrences. However, the model also simulates too many events in the historical climate compared with observations, so these future changes are uncertain.
Hofit Shachaf, Colin Price, Dorita Rostkier-Edelstein, and Cliff Mass
Nat. Hazards Earth Syst. Sci., 24, 3035–3047, https://doi.org/10.5194/nhess-24-3035-2024, https://doi.org/10.5194/nhess-24-3035-2024, 2024
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We have used the temperature and relative humidity sensors in smartphones to estimate the vapor pressure deficit (VPD), an important atmospheric parameter closely linked to fuel moisture and wildfire risk. Our analysis for two severe wildfire case studies in Israel and Portugal shows the potential for using smartphone data to compliment the regular weather station network while also providing high spatial resolution of the VPD index.
Florian Ruff and Stephan Pfahl
Nat. Hazards Earth Syst. Sci., 24, 2939–2952, https://doi.org/10.5194/nhess-24-2939-2024, https://doi.org/10.5194/nhess-24-2939-2024, 2024
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High-impact river floods are often caused by extreme precipitation. Flood protection relies on reliable estimates of the return values. Observational time series are too short for a precise calculation. Here, 100-year return values of daily precipitation are estimated on a global grid based on a large set of model-generated precipitation events from ensemble weather prediction. The statistical uncertainties in the return values can be substantially reduced compared to observational estimates.
Juan F. Dueñas, Edda Kunze, Huiying Li, and Matthias C. Rillig
EGUsphere, https://doi.org/10.5194/egusphere-2024-2566, https://doi.org/10.5194/egusphere-2024-2566, 2024
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We explored the possibility of adding mixtures composed of minimum dosages of several popular amendment types to soil. Adding mixtures of 3 to 5 amendment types substantially increased the capacity of soil to retain water, reduced soil erosion and increased microorganism abundance, while buffering soil from drastic changes in pH.
Erik Holmgren and Erik Kjellström
Nat. Hazards Earth Syst. Sci., 24, 2875–2893, https://doi.org/10.5194/nhess-24-2875-2024, https://doi.org/10.5194/nhess-24-2875-2024, 2024
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Associating extreme weather events with changes in the climate remains difficult. We have explored two ways these relationships can be investigated: one using a more common method and one relying solely on long-running records of meteorological observations.
Our results show that while both methods lead to similar conclusions for two recent weather events in Sweden, the commonly used method risks underestimating the strength of the connection between the event and changes to the climate.
François Bouttier and Hugo Marchal
Nat. Hazards Earth Syst. Sci., 24, 2793–2816, https://doi.org/10.5194/nhess-24-2793-2024, https://doi.org/10.5194/nhess-24-2793-2024, 2024
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Weather prediction uncertainties can be described as sets of possible scenarios – a technique called ensemble prediction. Our machine learning technique translates them into more easily interpretable scenarios for various users, balancing the detection of high precipitation with false alarms. Key parameters are precipitation intensity and space and time scales of interest. We show that the approach can be used to facilitate warnings of extreme precipitation.
Joy Ommer, Jessica Neumann, Milan Kalas, Sophie Blackburn, and Hannah L. Cloke
Nat. Hazards Earth Syst. Sci., 24, 2633–2646, https://doi.org/10.5194/nhess-24-2633-2024, https://doi.org/10.5194/nhess-24-2633-2024, 2024
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What’s the worst that could happen? Recent floods are often claimed to be beyond our imagination. Imagination is the picturing of a situation in our mind and the emotions that we connect with this situation. But why is this important for disasters? This survey found that when we cannot imagine a devastating flood, we are not preparing in advance. Severe-weather forecasts and warnings need to advance in order to trigger our imagination of what might happen and enable us to start preparing.
Raphael Portmann, Timo Schmid, Leonie Villiger, David N. Bresch, and Pierluigi Calanca
Nat. Hazards Earth Syst. Sci., 24, 2541–2558, https://doi.org/10.5194/nhess-24-2541-2024, https://doi.org/10.5194/nhess-24-2541-2024, 2024
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The study presents an open-source model to determine the occurrence of hail damage to field crops and grapevines after hailstorms in Switzerland based on radar, agricultural land use data, and insurance damage reports. The model performs best at 8 km resolution for field crops and 1 km for grapevine and in the main production areas. Highlighting performance trade-offs and the relevance of user needs, the study is a first step towards the assessment of risk and damage for crops in Switzerland.
Dieter Roel Poelman, Hannes Kohlmann, and Wolfgang Schulz
Nat. Hazards Earth Syst. Sci., 24, 2511–2522, https://doi.org/10.5194/nhess-24-2511-2024, https://doi.org/10.5194/nhess-24-2511-2024, 2024
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EUCLID's lightning data unveil distinctive ground strike point (GSP) patterns in Europe. Over seas, GSPs per flash surpass inland, reaching a minimum in the Alps. Mountainous areas like the Alps and Pyrenees have the closest GSP separation, highlighting terrain elevation's impact. The daily peak current correlates with average GSPs per flash. These findings could significantly influence lightning protection measures, urging a focus on GSP density rather than flash density for risk assessment.
Nicola Loglisci, Giorgio Boni, Arianna Cauteruccio, Francesco Faccini, Massimo Milelli, Guido Paliaga, and Antonio Parodi
Nat. Hazards Earth Syst. Sci., 24, 2495–2510, https://doi.org/10.5194/nhess-24-2495-2024, https://doi.org/10.5194/nhess-24-2495-2024, 2024
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We analyse the meteo-hydrological features of the 27 and 28 August 2023 event that occurred in Genoa. Rainfall observations were made using rain gauge networks based on either official networks or citizen science networks. The merged analysis stresses the spatial variability in the precipitation, which cannot be captured by the current spatial density of authoritative stations. Results show that at minimal distances the variations in cumulated rainfall over a sub-hourly duration are significant.
Tiago M. Ferreira, Ricardo M. Trigo, Tomás H. Gaspar, Joaquim G. Pinto, and Alexandre M. Ramos
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-130, https://doi.org/10.5194/nhess-2024-130, 2024
Revised manuscript accepted for NHESS
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Here we investigate the synoptic evolution associated with the occurrence of an atmospheric river leading to a 24 h record-breaking extreme precipitation event (120.3 mm) in Lisbon, Portugal, on 13 December 2022. The synoptic background allowed the formation, on 10 December, of an atmospheric river associated with a deep extratropical cyclone and with a high moisture content and an inflow of moisture, due to the warm conveyor belt, throughout its life cycle. The system made landfall on day 12.
Ellina Agayar, Franziska Aemisegger, Moshe Armon, Alexander Scherrmann, and Heini Wernli
Nat. Hazards Earth Syst. Sci., 24, 2441–2459, https://doi.org/10.5194/nhess-24-2441-2024, https://doi.org/10.5194/nhess-24-2441-2024, 2024
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This study presents the results of a climatological investigation of extreme precipitation events (EPEs) in Ukraine for the period 1979–2019. During all seasons EPEs are associated with pronounced upper-level potential vorticity (PV) anomalies. In addition, we find distinct seasonal and regional differences in moisture sources. Several extreme precipitation cases demonstrate the importance of these processes, complemented by a detailed synoptic analysis.
Antonio Giordani, Michael Kunz, Kristopher M. Bedka, Heinz Jürgen Punge, Tiziana Paccagnella, Valentina Pavan, Ines M. L. Cerenzia, and Silvana Di Sabatino
Nat. Hazards Earth Syst. Sci., 24, 2331–2357, https://doi.org/10.5194/nhess-24-2331-2024, https://doi.org/10.5194/nhess-24-2331-2024, 2024
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To improve the challenging representation of hazardous hailstorms, a proxy for hail frequency based on satellite detections, convective parameters from high-resolution reanalysis, and crowd-sourced reports is tested and presented. Hail likelihood peaks in mid-summer at 15:00 UTC over northern Italy and shows improved agreement with observations compared to previous estimates. By separating ambient signatures based on hail severity, enhanced appropriateness for large-hail occurrence is found.
Claire L. Ryder, Clément Bézier, Helen F. Dacre, Rory Clarkson, Vassilis Amiridis, Eleni Marinou, Emmanouil Proestakis, Zak Kipling, Angela Benedetti, Mark Parrington, Samuel Rémy, and Mark Vaughan
Nat. Hazards Earth Syst. Sci., 24, 2263–2284, https://doi.org/10.5194/nhess-24-2263-2024, https://doi.org/10.5194/nhess-24-2263-2024, 2024
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Desert dust poses a hazard to aircraft via degradation of engine components. This has financial implications for the aviation industry and results in increased fuel burn with climate impacts. Here we quantify dust ingestion by aircraft engines at airports worldwide. We find Dubai and Delhi in summer are among the dustiest airports, where substantial engine degradation would occur after 1000 flights. Dust ingestion can be reduced by changing take-off times and the altitude of holding patterns.
Khalil Ur Rahman, Songhao Shang, Khaled Saeed Balkhair, Hamza Farooq Gabriel, Khan Zaib Jadoon, and Kifayat Zaman
Nat. Hazards Earth Syst. Sci., 24, 2191–2214, https://doi.org/10.5194/nhess-24-2191-2024, https://doi.org/10.5194/nhess-24-2191-2024, 2024
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This paper assesses the impact of drought (meteorological drought) on the hydrological alterations in major rivers of the Indus Basin. Threshold regression and range of variability analysis are used to determine the drought severity and times where drought has caused low flows and extreme low flows (identified using indicators of hydrological alterations). Moreover, this study also examines the degree of alterations in river flows due to drought using the hydrological alteration factor.
Alexander Frank Vessey, Kevin I. Hodges, Len C. Shaffrey, and Jonathan J. Day
Nat. Hazards Earth Syst. Sci., 24, 2115–2132, https://doi.org/10.5194/nhess-24-2115-2024, https://doi.org/10.5194/nhess-24-2115-2024, 2024
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The risk posed to ships by Arctic cyclones has seldom been quantified due to the lack of publicly available historical Arctic ship track data. This study investigates historical Arctic ship tracks, cyclone tracks, and shipping incident reports to determine the number of shipping incidents caused by the passage of Arctic cyclones. Results suggest that Arctic cyclones have not been hazardous to ships and that ships are resilient to the rough sea conditions caused by Arctic cyclones.
Daniel G. Kingston, Liam Cooper, David A. Lavers, and David M. Hannah
EGUsphere, https://doi.org/10.5194/egusphere-2024-1742, https://doi.org/10.5194/egusphere-2024-1742, 2024
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Extreme rainfall comprises a major hydro-hazard for New Zealand, and is commonly associated with atmospheric rivers – narrow plumes of very high atmospheric moisture transport. Here, we focus on improved forecasting of these events by testing a forecasting tool previously applied to similar situations in western Europe. However, our results for New Zealand suggest the performance of this forecasting tool may vary depending on geographic setting.
Niklas Ebers, Kai Schröter, and Hannes Müller-Thomy
Nat. Hazards Earth Syst. Sci., 24, 2025–2043, https://doi.org/10.5194/nhess-24-2025-2024, https://doi.org/10.5194/nhess-24-2025-2024, 2024
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Future changes in sub-daily rainfall extreme values are essential in various hydrological fields, but climate scenarios typically offer only daily resolution. One solution is rainfall generation. With a temperature-dependent rainfall generator climate scenario data were disaggregated to 5 min rainfall time series for 45 locations across Germany. The analysis of the future 5 min rainfall time series showed an increase in the rainfall extremes values for rainfall durations of 5 min and 1 h.
Ran Zhu and Lei Chen
Nat. Hazards Earth Syst. Sci., 24, 1937–1950, https://doi.org/10.5194/nhess-24-1937-2024, https://doi.org/10.5194/nhess-24-1937-2024, 2024
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There is a positive correlation between the frequency of Jianghuai cyclone activity and precipitation during the Meiyu period. Its occurrence frequency has an obvious decadal variation, which corresponds well with the quasi-periodic and decadal variation in precipitation during the Meiyu period. This study provides a reference for the long-term and short-term forecasting of precipitation during the Meiyu period.
Andi Xhelaj and Massimiliano Burlando
Nat. Hazards Earth Syst. Sci., 24, 1657–1679, https://doi.org/10.5194/nhess-24-1657-2024, https://doi.org/10.5194/nhess-24-1657-2024, 2024
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The study provides an in-depth analysis of a severe downburst event in Sânnicolau Mare, Romania, utilizing an analytical model and optimization algorithm. The goal is to explore a multitude of generating solutions and to identify potential alternatives to the optimal solution. Advanced data analysis techniques help to discern three main distinct storm scenarios. For this particular event, the best overall solution from the optimization algorithm shows promise in reconstructing the downburst.
Luca G. Severino, Chahan M. Kropf, Hilla Afargan-Gerstman, Christopher Fairless, Andries Jan de Vries, Daniela I. V. Domeisen, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 24, 1555–1578, https://doi.org/10.5194/nhess-24-1555-2024, https://doi.org/10.5194/nhess-24-1555-2024, 2024
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We combine climate projections from 30 climate models with a climate risk model to project winter windstorm damages in Europe under climate change. We study the uncertainty and sensitivity factors related to the modelling of hazard, exposure and vulnerability. We emphasize high uncertainties in the damage projections, with climate models primarily driving the uncertainty. We find climate change reshapes future European windstorm risk by altering damage locations and intensity.
Daniel Krieger, Sebastian Brune, Johanna Baehr, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 24, 1539–1554, https://doi.org/10.5194/nhess-24-1539-2024, https://doi.org/10.5194/nhess-24-1539-2024, 2024
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Previous studies found that climate models can predict storm activity in the German Bight well for averages of 5–10 years but struggle in predicting the next winter season. Here, we improve winter storm activity predictions by linking them to physical phenomena that occur before the winter. We guess the winter storm activity from these phenomena and discard model solutions that stray too far from the guess. The remaining solutions then show much higher prediction skill for storm activity.
João P. A. Martins, Sara Caetano, Carlos Pereira, Emanuel Dutra, and Rita M. Cardoso
Nat. Hazards Earth Syst. Sci., 24, 1501–1520, https://doi.org/10.5194/nhess-24-1501-2024, https://doi.org/10.5194/nhess-24-1501-2024, 2024
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Over Europe, 2022 was truly exceptional in terms of extreme heat conditions, both in terms of temperature anomalies and their temporal and spatial extent. The satellite all-sky land surface temperature (LST) is used to provide a climatological context to extreme heat events. Where drought conditions prevail, LST anomalies are higher than 2 m air temperature anomalies. ERA5-Land does not represent this effect correctly due to a misrepresentation of vegetation anomalies.
Joseph William Gallear, Marcelo Valadares Galdos, Marcelo Zeri, and Andrew Hartley
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-60, https://doi.org/10.5194/nhess-2024-60, 2024
Revised manuscript accepted for NHESS
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In Brazil, drought is of national concern and can have major consequences for agriculture. Here, we determine how to develop forecasts for drought impacts on vegetation health using machine learning. Results aim to inform future developments in operational drought monitoring at the National Center for Monitoring and Early Warning of Natural Disasters in Brazil (CEMADEN). This information is essential for disaster preparedness and planning of future actions to support areas affected by drought.
Rudolf Brázdil, Kateřina Chromá, and Pavel Zahradníček
Nat. Hazards Earth Syst. Sci., 24, 1437–1457, https://doi.org/10.5194/nhess-24-1437-2024, https://doi.org/10.5194/nhess-24-1437-2024, 2024
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The official mortality data in the Czech Republic in 1919–2022 are used to show long-term fluctuations in the number of fatalities caused by excessive natural cold and heat, lightning, natural disasters, and falls on ice/snow, as well as the sex and age of the deceased, based on certain meteorological, historical, and socioeconomic factors that strongly influence changes in the number and structure of such fatalities. Knowledge obtained is usable in risk management for the preservation of lives.
Ben Maybee, Cathryn E. Birch, Steven J. Böing, Thomas Willis, Linda Speight, Aurore N. Porson, Charlie Pilling, Kay L. Shelton, and Mark A. Trigg
Nat. Hazards Earth Syst. Sci., 24, 1415–1436, https://doi.org/10.5194/nhess-24-1415-2024, https://doi.org/10.5194/nhess-24-1415-2024, 2024
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This paper presents the development and verification of FOREWARNS, a novel method for regional-scale forecasting of surface water flooding. We detail outcomes from a workshop held with UK forecast users, who indicated they valued the forecasts and would use them to complement national guidance. We use results of objective forecast tests against flood observations over northern England to show that this confidence is justified and that FOREWARNS meets the needs of UK flood responders.
Ashbin Jaison, Asgeir Sorteberg, Clio Michel, and Øyvind Breivik
Nat. Hazards Earth Syst. Sci., 24, 1341–1355, https://doi.org/10.5194/nhess-24-1341-2024, https://doi.org/10.5194/nhess-24-1341-2024, 2024
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The present study uses daily insurance losses and wind speeds to fit storm damage functions at the municipality level of Norway. The results show that the damage functions accurately estimate losses associated with extreme damaging events and can reconstruct their spatial patterns. However, there is no single damage function that performs better than another. A newly devised damage–no-damage classifier shows some skill in predicting extreme damaging events.
François Collet, Margot Bador, Julien Boé, Laurent Dubus, and Bénédicte Jourdier
EGUsphere, https://doi.org/10.5194/egusphere-2024-903, https://doi.org/10.5194/egusphere-2024-903, 2024
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The objective of this study is to characterize the observed evolution of compound winter low wind and cold events impacting the French electricity system. The frequency of compound events exhibits a high interannual variability and a decrease over the 1950–2022 period. We further show that the regional atmospheric circulation is an important driver of compound events occurence, but do not strongly contributes to the observed decrease.
Madlen Peter, Henning W. Rust, and Uwe Ulbrich
Nat. Hazards Earth Syst. Sci., 24, 1261–1285, https://doi.org/10.5194/nhess-24-1261-2024, https://doi.org/10.5194/nhess-24-1261-2024, 2024
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The paper introduces a statistical modeling approach describing daily extreme precipitation in Germany more accurately by including changes within the year and between the years simultaneously. The changing seasonality over years is regionally divergent and mainly weak. However, some regions stand out with a more pronounced linear rise of summer intensities, indicating a possible climate change signal. Improved modeling of extreme precipitation is beneficial for risk assessment and adaptation.
Faye Hulton and David M. Schultz
Nat. Hazards Earth Syst. Sci., 24, 1079–1098, https://doi.org/10.5194/nhess-24-1079-2024, https://doi.org/10.5194/nhess-24-1079-2024, 2024
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Large hail devastates crops and property and can injure and kill people and livestock. Hail reports are collected by individual countries, so understanding where and when large hail occurs across Europe is an incomplete undertaking. We use the European Severe Weather Database to evaluate the quality of reports by year and by country since 2000. Despite its short record, the dataset appears to represent aspects of European large-hail climatology reliably.
Patrick Olschewski, Mame Diarra Bousso Dieng, Hassane Moutahir, Brian Böker, Edwin Haas, Harald Kunstmann, and Patrick Laux
Nat. Hazards Earth Syst. Sci., 24, 1099–1134, https://doi.org/10.5194/nhess-24-1099-2024, https://doi.org/10.5194/nhess-24-1099-2024, 2024
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We applied a multivariate and dependency-preserving bias correction method to climate model output for the Greater Mediterranean Region and investigated potential changes in false-spring events (FSEs) and heat–drought compound events (HDCEs). Results project an increase in the frequency of FSEs in middle and late spring as well as increases in frequency, intensity, and duration for HDCEs. This will potentially aggravate the risk of crop loss and failure and negatively impact food security.
Alan Demortier, Marc Mandement, Vivien Pourret, and Olivier Caumont
Nat. Hazards Earth Syst. Sci., 24, 907–927, https://doi.org/10.5194/nhess-24-907-2024, https://doi.org/10.5194/nhess-24-907-2024, 2024
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Improvements in numerical weather prediction models make it possible to warn of hazardous weather situations. The incorporation of new observations from personal weather stations into the French limited-area model is evaluated. It leads to a significant improvement in the modelling of the surface pressure field up to 9 h ahead. Their incorporation improves the location and intensity of the heavy precipitation event that occurred in the South of France in September 2021.
Timo Schmid, Raphael Portmann, Leonie Villiger, Katharina Schröer, and David N. Bresch
Nat. Hazards Earth Syst. Sci., 24, 847–872, https://doi.org/10.5194/nhess-24-847-2024, https://doi.org/10.5194/nhess-24-847-2024, 2024
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Hailstorms cause severe damage to buildings and cars, which motivates a detailed risk assessment. Here, we present a new open-source hail damage model based on radar data in Switzerland. The model successfully estimates the correct order of magnitude of car and building damages for most large hail events over 20 years. However, large uncertainty remains in the geographical distribution of modelled damages, which can be improved for individual events by using crowdsourced hail reports.
Colin Raymond, Anamika Shreevastava, Emily Slinskey, and Duane Waliser
Nat. Hazards Earth Syst. Sci., 24, 791–801, https://doi.org/10.5194/nhess-24-791-2024, https://doi.org/10.5194/nhess-24-791-2024, 2024
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How can we systematically understand what causes high levels of atmospheric humidity and thus heat stress? Here we argue that atmospheric rivers can be a useful tool, based on our finding that in several US regions, atmospheric rivers and humid heat occur close together in space and time. Most typically, an atmospheric river transports moisture which heightens heat stress, with precipitation following a day later. These effects tend to be larger for stronger and more extensive systems.
Marcos Roberto Benso, Roberto Fray Silva, Gabriela Gesualdo Chiquito, Antonio Mauro Saraiva, Alexandre Cláudio Botazzo Delbem, Patricia Angélica Alves Marques, and Eduardo Mario Mendiondo
EGUsphere, https://doi.org/10.5194/egusphere-2023-3002, https://doi.org/10.5194/egusphere-2023-3002, 2024
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The production of food is susceptible to several climate hazards such as droughts, excessive rainfall, and heat waves. In this paper, we present a methodology that uses artificial intelligence for assessing the impact of climate risks on food production. Our methodology helps us to automatically select the most relevant indices and critical thresholds of these indices that when surpassed can increase the danger of crop yield loss.
Joseph Smith, Cathryn Birch, John Marsham, Simon Peatman, Massimo Bollasina, and George Pankiewicz
Nat. Hazards Earth Syst. Sci., 24, 567–582, https://doi.org/10.5194/nhess-24-567-2024, https://doi.org/10.5194/nhess-24-567-2024, 2024
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Nowcasting uses observations to make predictions of the atmosphere on short timescales and is particularly applicable to the Maritime Continent, where storms rapidly develop and cause natural disasters. This paper evaluates probabilistic and deterministic satellite nowcasting algorithms over the Maritime Continent. We show that the probabilistic approach is most skilful at small scales (~ 60 km), whereas the deterministic approach is most skilful at larger scales (~ 200 km).
Julia Miller, Andrea Böhnisch, Ralf Ludwig, and Manuela I. Brunner
Nat. Hazards Earth Syst. Sci., 24, 411–428, https://doi.org/10.5194/nhess-24-411-2024, https://doi.org/10.5194/nhess-24-411-2024, 2024
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We assess the impacts of climate change on fire danger for 1980–2099 in different landscapes of central Europe, using the Canadian Forest Fire Weather Index (FWI) as a fire danger indicator. We find that today's 100-year FWI event will occur every 30 years by 2050 and every 10 years by 2099. High fire danger (FWI > 21.3) becomes the mean condition by 2099 under an RCP8.5 scenario. This study highlights the potential for severe fire events in central Europe from a meteorological perspective.
Cited articles
Aceituno, P.: On the Functioning of the Southern Oscillation in the South
American Sector. Part I: Surface Climate, Mon. Weather Rev., 116, 505–524,
https://doi.org/10.1175/1520-0493(1988)116<0505:OTFOTS>2.0.CO;2, 1988.
Alva, A. K., Moore, A. D., and Collins, H. P.: Impact of Deficit Irrigation
on Tuber Yield and Quality of Potato Cultivars, J. Crop Improv.,
26, 211–227, https://doi.org/10.1080/15427528.2011.626891,
2012.
Anderson, W., Seager, R., Baethgen, W., and Cane, M.: Life cycles of
agriculturally relevant ENSO teleconnections in North and South America,
Int. J. Climatol., 37, 3297–3318,
https://doi.org/10.1002/joc.4916, 2017.
Bartholmes, J. C., Thielen, J., Ramos, M. H., and Gentilini, S.: The european flood alert system EFAS – Part 2: Statistical skill assessment of probabilistic and deterministic operational forecasts, Hydrol. Earth Syst. Sci., 13, 141–153, https://doi.org/10.5194/hess-13-141-2009, 2009.
Beaudoing, H. and Rodell, M.: NASA/GSFC/HSL: GLDAS Noah Land Surface Model L4 monthly 0.25 × 0.25 degree V2.0, Greenbelt, Maryland, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC), https://doi.org/10.5067/9SQ1B3ZXP2C5, 2019.
Beck, P. S. A., Atzberger, C., Høgda, K. A., Johansen, B., and Skidmore,
A. K.: Improved monitoring of vegetation dynamics at very high latitudes: A
new method using MODIS NDVI, Remote Sens. Environ., 100, 321–334,
https://doi.org/10.1016/j.rse.2005.10.021, 2006.
Bhuiyan, C. and Kogan, F. N.: Monsoon variation and vegetative drought
patterns in the Luni Basin in the rain-shadow zone, Int. J. Remote Sens., 31,
3223–3242, https://doi.org/10.1080/01431160903159332, 2010.
BID: Analisis ambiental y social, in: Programa de Saneamiento del Lago
Titicaca, Banco Interamericano de Desarrollo (BID), La Paz, Bolivia, 2016.
Blacutt, L. A., Herdies, D. L., de Gonçalves, L. G. G., Vila, D. A., and
Andrade, M.: Precipitation comparison for the CFSR, MERRA, TRMM3B42 and
Combined Scheme datasets in Bolivia, Atmos. Res., 163, 117–131,
https://doi.org/10.1016/j.atmosres.2015.02.002, 2015.
Buxton, N., Escobar, M., Purkey, D., and Lima, N.: Water scarcity, climate
change and Bolivia: Planning for climate uncertainties, SEI discussion
brief, Stockholm Environment Institute, Davis, USA, 4 pp., 2013.
CAF: Las lecciones de El Niño, Bolivia. Memorias del fenómeno El
Niño 1997–1998, retos y propuestas para la región andina.,
Corporación Andina de Fomento (CAF), Caracas, Venezuela, 2000.
Chuai, X. W., Huang, X. J., Wang, W. J., and Bao, G.: NDVI, temperature and
precipitation changes and their relationships with different vegetation
types during 1998–2007 in Inner Mongolia, China, Int. J. Climatol., 33,
1696–1706, https://doi.org/10.1002/joc.3543, 2013.
Condom, T., Rau, P., and Espinoza, J. C.: Correction of TRMM 3B43 monthly
precipitation data over the mountainous areas of Peru during the period
1998–2007, Hydrol. Process., 25, 1924–1933,
https://doi.org/10.1002/hyp.7949, 2011.
Corbari, C., Sobrino, J. A., Mancini, M., and Hidalgo, V.: Land surface temperature representativeness in a heterogeneous area through a distributed energy-water balance model and remote sensing data, Hydrol. Earth Syst. Sci., 14, 2141–2151, https://doi.org/10.5194/hess-14-2141-2010, 2010.
Cui, L. and Shi, J.: Temporal and spatial response of vegetation NDVI to
temperature and precipitation in eastern China, J. Geogr. Sci., 20, 163–176, https://doi.org/10.1007/s11442-010-0163-4, 2010.
Desinventar Sendai: Disaster loss data for sustainable development goals and Sendai framework monitoring system. United nations office for disaster risk reduction (UNDRR), available at: https://www.desinventar.net/, last access: 1 June 2020.
Duan, Y., Wilson, A. M., and Barros, A. P.: Scoping a field experiment: error diagnostics of TRMM precipitation radar estimates in complex terrain as a basis for IPHEx2014, Hydrol. Earth Syst. Sci., 19, 1501–1520, https://doi.org/10.5194/hess-19-1501-2015, 2015.
EM-DAT: The emergency events database. Center for research on the epidemiology of disasters (CRED), available at: https://www.emdat.be/, last access: 15 July 2020.
FAO: 2015–2016 El Nino early action and response for agriculture, Food security and nutrition, and Food and Agricultural Organization of the United Nations (FAO), Rome, Italy, 43 pp., ISBN 978-92-5-109383-2, 2016.
FAO: Global early warning – Early action report on food security and
agriculture July–September 2017, Early Warning – Early Action (EWEA),
Agricultural Development Economics Division (ESA), and Food and Agricultural
Organization of the United Nations (FAO), Rome, Italy, ISBN 978-92-5-109806-6, 27,
2017.
Funk, C.: Rainfall Estimates from Rain Gauge and Satellite Observations (CHIRPS), United States Geological Survey (USGS) and Climate Hazard Center of the University of California, Santa Barbara, available at: https://data.chc.ucsb.edu/products/CHIRPS-2.0/global_monthly/netcdf/ (last access: 22 February 2021), 2015.
Funk, C., Peterson, P., Landsfeld, M., Pedreros, D., Verdin, J., Shukla, S.,
Husak, G., Rowland, J., Harrison, L., Hoell, A., and Michaelsen, J.: The
climate hazards infrared precipitation with stations – a new environmental
record for monitoring extremes, Sci. Data, 2, 150066,
https://doi.org/10.1038/sdata.2015.66, 2015.
Garcia, M., Raes, D., and Jacobsen, S.-E.: Evapotranspiration analysis and
irrigation requirements of quinoa (Chenopodium quinoa) in the Bolivian
highlands, Agr. Water Manage., 60, 119–134,
https://doi.org/10.1016/S0378-3774(02)00162-2, 2003.
Garcia, M., Raes, D., Jacobsen, S. E., and Michel, T.: Agroclimatic
constraints for rainfed agriculture in the Bolivian Altiplano, J. Arid
Environ., 71, 109–121,
https://doi.org/10.1016/j.jaridenv.2007.02.005, 2007.
Garcia, M., Condori, B., and Del Castillo, C.: Agroecological and agronomic cultural practices of quinoa in South America, in: Quinoa: Improvement and Sustainable Production, edited by: Murphy, K. and Matanguihan, J., John Wiley & Sons. Inc., Hoboken, USA, 25–46, ISBN 978-1-118-62805-8, 2015.
Garcia, M. and Alavi, G.: Bolivia, in: Atlas de Sequía de América
Latina y el Caribe, edited by: Núñez Cobo, J. and Verbist, K.,
UNESCO y CAZALAC, La Serena, Chile, 29–42, 2018 (in Spanish).
Garreaud, R., Vuille, M., and Clement, A. C.: The climate of the Altiplano:
observed current conditions and mechanisms of past changes, Palaeogeogr.
Palaeocl., 194, 5–22,
https://doi.org/10.1016/S0031-0182(03)00269-4, 2003.
Garreaud, R. D. and Aceituno, P.: Interannual rainfall variability over the
South American Altiplano, J. Climate, 14, 2779–2789,
https://doi.org/10.1175/1520-0442(2001)014<2779:Irvots>2.0.Co;2, 2001.
Geerts, S., Raes, D., Garcia, M., Mendoza, J., and Huanca, R.: Crop water
use indicators to quantify the flexible phenology of quinoa (Chenopodium
quinoa Willd.) in response to drought stress, Field Crops Res., 108,
150–156, https://doi.org/10.1016/j.fcr.2008.04.008, 2008.
Geerts, S., Raes, D., Garcia, M., Miranda, R., Cusicanqui, J. A., Taboada,
C., Mendoza, J., Huanca, R., Mamani, A., Condori, O., Mamani, J., Morales,
B., Osco, V., and Steduto, P.: Simulating Yield Response of Quinoa to Water
Availability with AquaCrop, Agron. J., 101, 499–508,
https://doi.org/10.2134/agronj2008.0137s, 2009.
Helman, D., Givati, A., and Lensky, I. M.: Annual evapotranspiration retrieved from satellite vegetation indices for the eastern Mediterranean at 250 m spatial resolution, Atmos. Chem. Phys., 15, 12567–12579, https://doi.org/10.5194/acp-15-12567-2015, 2015.
Holben, B. N.: Characteristics of maximum-value composite images from
temporal AVHRR data, Int. J. Remote Sens., 7, 1417–1434,
https://doi.org/10.1080/01431168608948945, 1986.
Huang, M., Piao, S., Ciais, P., Peñuelas, J., Wang, X., Keenan, T. F.,
Peng, S., Berry, J. A., Wang, K., Mao, J., Alkama, R., Cescatti, A., Cuntz,
M., De Deurwaerder, H., Gao, M., He, Y., Liu, Y., Luo, Y., Myneni, R. B.,
Niu, S., Shi, X., Yuan, W., Verbeeck, H., Wang, T., Wu, J., and Janssens, I.
A.: Air temperature optima of vegetation productivity across global biomes,
Nat. Ecol. Evol., 3, 772–779,
https://doi.org/10.1038/s41559-019-0838-x, 2019.
Iizumi, T., Luo, J.-J., Challinor, A. J., Sakurai, G., Yokozawa, M., Sakuma,
H., Brown, M. E., and Yamagata, T.: Impacts of El Niño Southern
Oscillation on the global yields of major crops, Nat. Commun., 5,
3712, https://doi.org/10.1038/ncomms4712, 2014.
INE: Censo Agropecuario de Bolivia 2013, first ed., The National Institute
of Statistics (INE) of Bolivia, La Paz, 143 pp., 2015 (in Spanish).
IPCC: Managing the Risks of Extreme Events and Disasters to Advance Climate
Change Adaptation. A Special Report of Working Groups I and II of the
Intergovernmental Panel on Climate Change, Cambridge University Press,
Cambridge, UK and New York, USA, 582, 2012.
IPCC: Climate Change 2013: The Physical Science Basis. Contribution of
Working Group I to the Fifth Assessment Report of the Intergovernmental
Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner,
G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V.,
and Midgley, G. F., Cambridge University Press, Cambridge, United Kingdom
and New York, NY, USA, 1535 pp., 2013.
Ji, L. and Peters, A. J.: Assessing vegetation response to drought in the
northern Great Plains using vegetation and drought indices, Remote Sens.
Environ., 87, 85–98,
https://doi.org/10.1016/S0034-4257(03)00174-3, 2003.
Karnieli, A., Agam, N., Pinker, R. T., Anderson, M., Imhoff, M. L., Gutman,
G. G., Panov, N., and Goldberg, A.: Use of NDVI and Land Surface Temperature
for Drought Assessment: Merits and Limitations, J. Climate, 23, 618–633,
https://doi.org/10.1175/2009jcli2900.1, 2010.
Kogan, F. and Guo, W.: Strong 2015–2016 El Niño and implication to
global ecosystems from space data, Int. J. Remote Sens., 38, 161–178,
https://doi.org/10.1080/01431161.2016.1259679, 2017.
Kogan, F. N.: Application of vegetation index and brightness temperature for
drought detection, Adv. Space Res., 15, 91–100,
https://doi.org/10.1016/0273-1177(95)00079-T, 1995.
Kogan, F. N.: Satellite-Observed Sensitivity of World Land Ecosystems to El
Niño/La Niña, Remote Sens. Environ., 74, 445–462,
https://doi.org/10.1016/S0034-4257(00)00137-1, 2000.
Kutner, M. H., Nachtsheim, C. J., and Neter, J.: Applied linear regression models, forth ed., McGraw-Hill/Irwin Series: Operations and decision sciences, Ohio, US, 701 pp., ISBN 978-0073014661, 2004.
Legates, D. R. and Willmott, C. J.: Mean seasonal and spatial variability
in gauge-corrected, global precipitation, Int. J. Climatol., 10, 111–127,
https://doi.org/10.1002/joc.3370100202, 1990a.
Legates, D. R. and Willmott, C. J.: Mean seasonal and spatial variability
in global surface air temperature, Theor. Appl. Climatol., 41, 11–21,
https://doi.org/10.1007/BF00866198, 1990b.
Moran, M. S., Clarke, T. R., Inoue, Y., and Vidal, A.: Estimating crop water
deficit using the relation between surface-air temperature and spectral
vegetation index, Remote Sens. Environ., 49, 246–263,
https://doi.org/10.1016/0034-4257(94)90020-5, 1994.
Null, J.: El Niño and La Niña Years and Intensities, available at: https://ggweather.com/enso/oni.htm (last access: 11 February 2020), 2018.
Ochoa, A., Pineda, L., Crespo, P., and Willems, P.: Evaluation of TRMM 3B42 precipitation estimates and WRF retrospective precipitation simulation over the Pacific–Andean region of Ecuador and Peru, Hydrol. Earth Syst. Sci., 18, 3179–3193, https://doi.org/10.5194/hess-18-3179-2014, 2014.
Ottlé, C. and Vidal-Madjar, D.: Estimation of land surface temperature
with NOAA9 data, Remote Sens. Environ., 40, 27–41,
https://doi.org/10.1016/0034-4257(92)90124-3, 1992.
Paredes-Trejo, F. J., Álvarez Barbosa, H., Peñaloza-Murillo, M. A.,
Moreno, M. A., and Farias, A.: Intercomparison of improved satellite
rainfall estimation with CHIRPS gridded product and rain gauge data over
Venezuela, Atmosphere, 29, 323–342,
https://doi.org/10.20937/atm.2016.29.04.04, 2016.
Paredes-Trejo, F. J., Barbosa, H. A., and Lakshmi Kumar, T. V.: Validating
CHIRPS-based satellite precipitation estimates in Northeast Brazil, J. Arid
Environ., 139, 26–40,
https://doi.org/10.1016/j.jaridenv.2016.12.009, 2017.
Pinzon, J. E. and Tucker, C. J.: NDVI: Normalized Difference Vegetation Index-3rd generation using GIMMS from AVHRR sensors, Retrieved from Climate Data Guide, edited by: National Center for Atmospheric Research Staff, available at: https://climatedataguide.ucar.edu/climate-data/ndvi-normalized-difference-vegetation-index-3rd-generation-nasagfsc-gimms (last access: 19 July 2020), 2018.
Quiroz, R., Yarlequé, C., Posadas, A., Mares, V., and Immerzeel, W. W.:
Improving daily rainfall estimation from NDVI using a wavelet transform,
Environ. Model. Softw., 26, 201–209,
https://doi.org/10.1016/j.envsoft.2010.07.006, 2011.
Ramirez-Rodrigues, M. A., Asseng, S., Fraisse, C., Stefanova, L., and
Eisenkolbi, A.: Tailoring wheat management to ENSO phases for increased
wheat production in Paraguay, Climate Risk Management, 3, 24–38,
https://doi.org/10.1016/j.crm.2014.06.001, 2014.
Rencher, A. C.: Methods of Multivariate Analysis, John Wiley & Sons, New
York, 1995.
Rivera, J. A., Marianetti, G., and Hinrichs, S.: Validation of CHIRPS
precipitation dataset along the Central Andes of Argentina, Atmos.
Res., 213, 437–449,
https://doi.org/10.1016/j.atmosres.2018.06.023, 2018.
Rodell, M., Houser, P. R., Jambor, U., Gottschalck, J., Mitchell, K., Meng,
C.-J., Arsenault, K., Cosgrove, B., Radakovich, J., Bosilovich, M., Entin,
J. K., Walker, J. P., Lohmann, D., and Toll, D.: The Global Land Data
Assimilation System, B. Am. Meteor. Soc., 85, 381–394,
https://doi.org/10.1175/bams-85-3-381, 2004.
Sánchez, N., Martínez-Fernández, J., González-Piqueras, J.,
González-Dugo, M. P., Baroncini-Turrichia, G., Torres, E., Calera, A.,
and Pérez-Gutiérrez, C.: Water balance at plot scale for soil
moisture estimation using vegetation parameters, Agr. Forest
Meteor., 166–167, 1–9,
https://doi.org/10.1016/j.agrformet.2012.07.005, 2012.
Santos, J. L.: The Impact of El Niño – Southern Oscillation Events on South America, Adv. Geosci., 6, 221–225, https://doi.org/10.5194/adgeo-6-221-2006, 2006.
Santoso, A., Hendon, H., Watkins, A., Power, S., Dommenget, D., England, M.
H., Frankcombe, L., Holbrook, N. J., Holmes, R., Hope, P., Lim, E.-P., Luo,
J.-J., McGregor, S., Neske, S., Nguyen, H., Pepler, A., Rashid, H., Gupta,
A. S., Taschetto, A. S., Wang, G., Abellán, E., Sullivan, A., Huguenin,
M. F., Gamble, F., and Delage, F.: Dynamics and Predictability of El
Niño–Southern Oscillation: An Australian Perspective on Progress and
Challenges, B. Am. Meteor. Soc., 100, 403–420,
https://doi.org/10.1175/bams-d-18-0057.1, 2019.
Satgé, F., Bonnet, M.-P., Gosset, M., Molina, J., Hernan Yuque Lima, W.,
Pillco Zolá, R., Timouk, F., and Garnier, J.: Assessment of satellite
rainfall products over the Andean plateau, Atmos. Res., 167, 1–14,
https://doi.org/10.1016/j.atmosres.2015.07.012, 2016.
SENAMHI: Sismet, gauged precipitation and temperature monthly datasets, Servicio Nacional de Meteorología e Hidrología (SENAMHI) de Bolivia, available at: http://senamhi.gob.bo/index.php/sismet, last access: 15 September 2019 (in Spanish).
Shinoda, M.: Seasonal phase lag between rainfall and vegetation activity in
tropical Africa as revealed by NOAA satellite data, Int. J. Climatol., 15,
639–656, https://doi.org/10.1002/joc.3370150605, 1995.
Thibeault, J., Seth, A., and Wang, G. L.: Mechanisms of summertime
precipitation variability in the Bolivian Altiplano: present and future,
Int. J. Climatol., 32, 2033–2041, https://doi.org/10.1002/joc.2424, 2012.
Thompson, L. G., Mosley-Thompson, E., and Arnao, B. M.: El Niño-Southern
Oscillation events recorded in the stratigraphy of the tropical Quelccaya
ice cap, Peru, Science, 226, 50–53,
https://doi.org/10.1126/science.226.4670.50, 1984.
Tippett, M. K., Barnston, A. G., and Li, S.: Performance of Recent
Multimodel ENSO Forecasts, J. Appl. Meteorol. Clim., 51, 637–654,
https://doi.org/10.1175/jamc-d-11-093.1, 2012.
UNDP: Tras las huellas del cambio climático en Bolivia. Estado del arte
del conocimiento sobre adaptación al cambio climático: agua y
seguridad alimentaria, UNDP-Bolivia, La Paz, Bolivia, 144 pp., 2011 (in Spanish).
UNEP: Diagnostico Ambiental del Sistema Titicaca-Desaguadero-Poopo-Salar de Coipasa (Sistema TDPS) Bolivia – Perú, United Nations Environment Programme (UNEP), Washington, D.C., 1996 (in Spanish).
UNISDR: Drought Risk Reduction Framework and Practices: Contributing to the
Implementation of the Hyogo Framework for Action, United Nations secretariat
of the International Strategy for Disaster Reduction (UNISDR), Geneva,
Switzerland, 2009.
UNISDR: Making Development Sustainable: The Future of Disaster Risk
Management, Global Assessment Report on Disaster Risk Reduction, United
Nations Office for Disaster Risk Reduction (UNISDR), Geneva, Switzerland, 2015.
van Loon, C. D.: The effect of water stress on potato growth, development,
and yield, Am. Potato J., 58, 51–69,
https://doi.org/10.1007/BF02855380, 1981.
Verbist, K., Amani, A., Mishra, A., and Cisneros, B. J.: Strengthening
drought risk management and policy: UNESCO International Hydrological
Programme's case studies from Africa and Latin America and the Caribbean,
Water Policy, 18, 245–261, https://doi.org/10.2166/wp.2016.223,
2016.
Vicente-Serrano, S. M., Chura, O., López-Moreno, J. I., Azorin-Molina,
C., Sanchez-Lorenzo, A., Aguilar, E., Moran-Tejeda, E., Trujillo, F.,
Martínez, R., and Nieto, J. J.: Spatio-temporal variability of droughts
in Bolivia: 1955–2012, Int. J. Climatol., 35, 3024–3040,
https://doi.org/10.1002/joc.4190, 2015.
Vuille, M.: Atmospheric circulation over the Bolivian Altiplan10.1175/1520-0493(1988)1o during dry
and wet periods and extreme phases of the Southern Oscillation, Int. J.
Climatol., 19, 1579–1600, https://doi.org/10.1002/(SICI)1097-0088(19991130)19:14<1579::AID-JOC441>3.0.CO;2-N, 1999.
Wilhite, D. A. and Glantz, M. H.: Understanding: The Drought Phenomenon:
The Role of Definitions, in: Planning for Drought: Toward a Reduction of
Social Vulnerability, edited by: Wilhite, D. A., Easterling, W. E., and
Wood, D. A., Westview Press, Boulder, USA, 10–30, 1985.
Wilks, D. S.: Statistical Methods in the Atmospheric Sciences, second ed.,
Academic Press, Oxford, UK, 648 pp., 2006.
Willmott, C. J. and Matsuura, K.: Smart Interpolation of Annually Averaged
Air Temperature in the United States, J. Appl. Meteorol., 34,
2577–2586, https://doi.org/10.1175/1520-0450(1995)034<2577:sioaaa>2.0.co;2, 1995.
Willmott, C. J. and Matsuura, K.: Terrestrial Air Temperature and Precipitation: Monthly and Annual Time Series 1950–1999 provided by the NOAA/OAR/ESRL PSL, Boulder, Colorado, USA, available at: https://psl.noaa.gov/data/gridded/data.UDel_AirT_Precip.html (last access: 1 May 2020), 2001.
Yarleque, C., Vuille, M., Hardy, D. R., Posadas, A., and Quiroz, R.:
Multiscale assessment of spatial precipitation variability over complex
mountain terrain using a high-resolution spatiotemporal wavelet
reconstruction method, J. Geophys. Res.-Atmos., 121, 12198–12216,
https://doi.org/10.1002/2016jd025647, 2016.
Zhou, J. and Lau, K.-M.: Does a monsoon climate exist over South America?,
J. Climate, 11, 1020–1040,
https://doi.org/10.1175/1520-0442(1998)011<1020:damceo>2.0.co;2, 1998.
Short summary
Drought is a major natural hazard that causes large losses for farmers. This study evaluated drought severity based on a drought classification scheme using NDVI and LST, which was related to the ENSO anomalies. In addition, the spatial distribution of NDVI was associated with precipitation and air temperature at the local level. Our findings show that drought severity increases during El Niño years, and as a consequence the socio-economic drought risk of farmers will likely increase.
Drought is a major natural hazard that causes large losses for farmers. This study evaluated...
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