Articles | Volume 23, issue 2
https://doi.org/10.5194/nhess-23-553-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-23-553-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
07 Feb 2023
Research article |
| 07 Feb 2023
| 07 Feb 2023
Validating a tailored drought risk assessment methodology: drought risk assessment in local Papua New Guinea regions
Isabella Aitkenhead
CORRESPONDING AUTHOR
School of Science, Geospatial Science, Royal Melbourne Institute of Technology (RMIT) University, Melbourne, Victoria, Australia
Bureau of Meteorology, Docklands, Victoria, Australia
Yuriy Kuleshov
CORRESPONDING AUTHOR
School of Science, Geospatial Science, Royal Melbourne Institute of Technology (RMIT) University, Melbourne, Victoria, Australia
Bureau of Meteorology, Docklands, Victoria, Australia
School of Mathematics and Statistics, The University of Melbourne, Parkville, Victoria, Australia
Jessica Bhardwaj
School of Science, Geospatial Science, Royal Melbourne Institute of Technology (RMIT) University, Melbourne, Victoria, Australia
Bureau of Meteorology, Docklands, Victoria, Australia
Zhi-Weng Chua
School of Science, Geospatial Science, Royal Melbourne Institute of Technology (RMIT) University, Melbourne, Victoria, Australia
Bureau of Meteorology, Docklands, Victoria, Australia
Chayn Sun
School of Science, Geospatial Science, Royal Melbourne Institute of Technology (RMIT) University, Melbourne, Victoria, Australia
Suelynn Choy
School of Science, Geospatial Science, Royal Melbourne Institute of Technology (RMIT) University, Melbourne, Victoria, Australia
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C. Sun, S. Choy, Z. Chua, I. Aitkenhead, and Y. Kuleshov
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-3-W1-2020, 139–144, https://doi.org/10.5194/isprs-archives-XLIV-3-W1-2020-139-2020, https://doi.org/10.5194/isprs-archives-XLIV-3-W1-2020-139-2020, 2020
Xiaoming Wang, Haobo Li, Suelynn Choy, Qiuying Huang, Wenhui Cai, Anthony Rea, Hongxin Zhang, Luis Elneser, and Yuriy Kuleshov
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2025-283, https://doi.org/10.5194/essd-2025-283, 2025
Preprint under review for ESSD
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This work presents the most comprehensive global GNSS climate dataset, covering a 22-year period and over 5085 stations. The data enables the monitoring of atmospheric humidity and circulation, which is crucial for understanding the mechanisms of climate change and climate-related extreme events. Through rigorous quality control, assessment and comparison with trusted sources, the dataset supports better weather forecasting, long-term climate monitoring, and global climate risk assessment.
Nicholas Lee, Chayn Sun, Serene Ho, Monica Wachowicz, and Debaditya Acharya
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-2024, 297–302, https://doi.org/10.5194/isprs-archives-XLVIII-4-2024-297-2024, https://doi.org/10.5194/isprs-archives-XLVIII-4-2024-297-2024, 2024
Ryan Turner and Chayn Sun
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-2024, 365–372, https://doi.org/10.5194/isprs-annals-X-4-2024-365-2024, https://doi.org/10.5194/isprs-annals-X-4-2024-365-2024, 2024
A. Nurunnabi, N. Teferle, J. Balado, M. Chen, F. Poux, and C. Sun
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-3-W2-2022, 43–50, https://doi.org/10.5194/isprs-archives-XLVIII-3-W2-2022-43-2022, https://doi.org/10.5194/isprs-archives-XLVIII-3-W2-2022-43-2022, 2022
Q. (C.) Sun, S. Das, K. Wang, Y. Tao, M. Amati, J. Hurley, S. Choy, and M. Duckham
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W5-2022, 175–182, https://doi.org/10.5194/isprs-archives-XLVIII-4-W5-2022-175-2022, https://doi.org/10.5194/isprs-archives-XLVIII-4-W5-2022-175-2022, 2022
Cameron Do and Yuriy Kuleshov
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-139, https://doi.org/10.5194/nhess-2022-139, 2022
Preprint withdrawn
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Tropical cyclone (TC) risk over Australia was assessed focusing on the impacts on population and infrastructure from hazards of wind, storm surge, flooding and landslides. The risk posed by all hazards was highest for coastal areas of east, north and north-west of Australia, with flood and landslide hazards also affecting several inland areas. The resulting maps of risk will provide decision-makers with the information needed to further reduce TC risk, save lives, and reduce economic losses.
S. Choy, Y. B. Bai, S. Zlatanova, A. Diakite, E. Rubinov, C. Marshall, P. Knight, A. Riddell, V. Rooke, M. Woolf, N. Kishi, and S. Kogure
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-3-W1-2020, 21–28, https://doi.org/10.5194/isprs-archives-XLIV-3-W1-2020-21-2020, https://doi.org/10.5194/isprs-archives-XLIV-3-W1-2020-21-2020, 2020
C. Sun, S. Choy, Z. Chua, I. Aitkenhead, and Y. Kuleshov
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-3-W1-2020, 139–144, https://doi.org/10.5194/isprs-archives-XLIV-3-W1-2020-139-2020, https://doi.org/10.5194/isprs-archives-XLIV-3-W1-2020-139-2020, 2020
Qian Sun, Grace Yun, and Ting Ling
Abstr. Int. Cartogr. Assoc., 1, 356, https://doi.org/10.5194/ica-abs-1-356-2019, https://doi.org/10.5194/ica-abs-1-356-2019, 2019
Related subject area
Atmospheric, Meteorological and Climatological Hazards
Invited perspectives: Thunderstorm intensification from mountains to plains
Is considering (in)consistency between runs so useless for weather forecasting?
Review article: The growth in compound weather and climate event research in the decade since SREX
Exploring the interplay between observed warming, atmospheric circulation, and soil–atmosphere feedbacks on heatwaves in a temperate mountain region
Temporal dynamic vulnerability – impact of antecedent events on residential building losses to wind storm events in Germany
Verifying the relationships among the variabilities of summer rainfall extremes over Japan in the d4PDF climate ensemble, Pacific sea surface temperature, and monsoon activity
Tree fall along railway lines: modelling the impact of wind and other meteorological factors
The probabilistic skill of extended-range heat wave forecasts over Europe
An appraisal of the value of simulated weather data for quantifying coastal flood hazard in the Netherlands
Insights into thunderstorm characteristics from geostationary lightning jump and dive observations
The unique features in the 4 d widespread extreme rainfall event over North China in July 2023
Classifying extratropical cyclones and their impact on Finland's electricity grid: insights from 92 damaging windstorms
Evaluation of machine learning approaches for large-scale agricultural drought forecasts to improve monitoring and preparedness in Brazil
Soil moisture–atmosphere coupling strength over central Europe in the recent warming climate
A data-driven framework for assessing climatic impact drivers in the context of food security
Soil conditioner mixtures as an agricultural management alternative to mitigate drought impacts: a proof of concept
Insights from hailstorm track analysis in European climate change simulations
Extreme heat and mortality in the State of Rio de Janeiro in the 2023/24 season: attribution to climate change and ENSO
Compound winter low-wind and cold events impacting the French electricity system: observed evolution and role of large-scale circulation
Probabilistic hazard analysis of the gas emission of Mefite d'Ansanto, southern Italy
Are heavy-rainfall events a major trigger of associated natural hazards along the German rail network?
Brief communication: Forecasting extreme precipitation from atmospheric rivers in New Zealand
The record-breaking precipitation event of December 2022 in Portugal
Compound events in Germany in 2018: drivers and case studies
Indirect assimilation of radar reflectivity data with an adaptive hydrometer retrieval scheme for the short-term severe weather forecasts
Assimilation of temperature and relative humidity observations from personal weather stations in AROME-France
The anomalously thundery month of June 1925 in southwest Spain: description and synoptic analysis
Spatial identification of regions exposed to multi-hazards at the pan-European level
Classification of North Atlantic and European extratropical cyclones using multiple measures of intensity
Subseasonal forecasts of heat waves in West African cities
Impacts on and damage to European forests from the 2018–2022 heat and drought events
Brief communication: Training of AI-based nowcasting models for rainfall early warning should take into account user requirements
Examining the Eastern European extreme summer temperatures of 2023 from a long-term perspective: the role of natural variability vs. anthropogenic factors
How well are hazards associated with derechos reproduced in regional climate simulations?
Brief Communication: Investigating trends in European hailstorm damage using CMIP6-DAMIP climate models
Reconstructing hail days in Switzerland with statistical models (1959–2022)
High-Resolution Data Assimilation for Two Maritime Extreme Weather Events: A comparison between 3DVar and EnKF
Reask UTC: a machine learning modeling framework to generate climate connected tropical cyclone event sets globally
Historical changes in drought characteristics and its impact on vegetation cover over Madagascar
Multi-hazards in Scandinavia: Impacts and risks from compound heatwaves, droughts and wildfires
GTDI: a game-theory-based integrated drought index implying hazard-causing and hazard-bearing impact change
Insurance loss model vs. meteorological loss index – how comparable are their loss estimates for European windstorms?
Intense rains in Israel associated with the train effect
Convection-permitting climate model representation of severe convective wind gusts and future changes in southeastern Australia
Impact-based temporal clustering of multiple meteorological hazard types in southwestern Germany
On the potential of using smartphone sensors for wildfire hazard estimation through citizen science
Global estimates of 100-year return values of daily precipitation from ensemble weather prediction data
Exploring the sensitivity of extreme event attribution of two recent extreme weather events in Sweden using long-running meteorological observations
Probabilistic short-range forecasts of high-precipitation events: optimal decision thresholds and predictability limits
The ability of a stochastic regional weather generator to reproduce heavy precipitation events across scales
Jannick Fischer, Pieter Groenemeijer, Alois Holzer, Monika Feldmann, Katharina Schröer, Francesco Battaglioli, Lisa Schielicke, Tomáš Púčik, Bogdan Antonescu, Christoph Gatzen, and TIM Partners
Nat. Hazards Earth Syst. Sci., 25, 2629–2656, https://doi.org/10.5194/nhess-25-2629-2025, https://doi.org/10.5194/nhess-25-2629-2025, 2025
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Strong thunderstorms have been studied mainly over flat terrain in the past. However, they are particularly frequent near European mountain ranges, so observations of such storms are needed. This article gives an overview of our existing knowledge on this topic and presents plans for a large European field campaign with the goals to fill the knowledge gaps, validate tools for thunderstorm warnings, and improve numerical weather prediction near mountains.
Hugo Marchal, François Bouttier, and Olivier Nuissier
Nat. Hazards Earth Syst. Sci., 25, 2613–2628, https://doi.org/10.5194/nhess-25-2613-2025, https://doi.org/10.5194/nhess-25-2613-2025, 2025
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This paper investigates the relationship between changes in weather forecasts and predictability, which has so far been considered weak. By studying how weather scenarios persist over successive forecasts, it appears that conclusions can be drawn about forecasts' reliability.
Lou Brett, Christopher J. White, Daniela I. V. Domeisen, Bart van den Hurk, Philip Ward, and Jakob Zscheischler
Nat. Hazards Earth Syst. Sci., 25, 2591–2611, https://doi.org/10.5194/nhess-25-2591-2025, https://doi.org/10.5194/nhess-25-2591-2025, 2025
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Compound events, where multiple weather or climate hazards occur together, pose significant risks to both society and the environment. These events, like simultaneous wind and rain, can have more severe impacts than single hazards. Our review of compound event research from 2012–2022 reveals a rise in studies, especially on events that occur concurrently, hot and dry events, and compounding flooding. The review also highlights opportunities for research in the coming years.
Marc Lemus-Canovas, Sergi Gonzalez-Herrero, Laura Trapero, Anna Albalat, Damian Insua-Costa, Martin Senande-Rivera, and Gonzalo Miguez-Macho
Nat. Hazards Earth Syst. Sci., 25, 2503–2518, https://doi.org/10.5194/nhess-25-2503-2025, https://doi.org/10.5194/nhess-25-2503-2025, 2025
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This study investigates the intense heatwaves of 2022 in the Pyrenees. The interplay of the synoptic circulation with the complex topography and the pre-existing soil moisture deficits played an important role in driving the spatial variability of their temperature anomalies. Moreover, human-driven climate change has made these heatwaves more severe compared to the past. This research helps us better understand how climate change affects extreme weather in mountainous regions.
Andreas Trojand, Henning W. Rust, and Uwe Ulbrich
Nat. Hazards Earth Syst. Sci., 25, 2331–2350, https://doi.org/10.5194/nhess-25-2331-2025, https://doi.org/10.5194/nhess-25-2331-2025, 2025
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The study investigates how the intensity of previous windstorm events and the time between two events affect the vulnerability of residential buildings in Germany. By analyzing 23 years of data, it was found that higher intensity of previous events generally reduces vulnerability in subsequent storms, while shorter intervals between events increase vulnerability. The results emphasize the approach of considering vulnerability in risk assessments as temporally dynamic.
Shao-Yi Lee, Sicheng He, and Tetsuya Takemi
Nat. Hazards Earth Syst. Sci., 25, 2225–2253, https://doi.org/10.5194/nhess-25-2225-2025, https://doi.org/10.5194/nhess-25-2225-2025, 2025
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The authors performed verification on the relationships between extreme monsoon rainfall over Japan and Pacific sea surface temperature variability in the “database for Policy Decision-making for Future climate changes” (d4PDF). Observations showed widespread weak relationships between hourly extremes and the warming mode but reversed relationships between daily extremes and the decadal variability mode. Biases in d4PDF could be explained by the monsoon's slower movement over Japan in the model.
Rike Lorenz, Nico Becker, Barry Gardiner, Uwe Ulbrich, Marc Hanewinkel, and Benjamin Schmitz
Nat. Hazards Earth Syst. Sci., 25, 2179–2196, https://doi.org/10.5194/nhess-25-2179-2025, https://doi.org/10.5194/nhess-25-2179-2025, 2025
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Tree fall events have an impact on forests and transport systems. Our study explored tree fall in relation to wind and other weather conditions. We used tree fall data along railway lines and ERA5 and radar meteorological data to build a logistic regression model. We found that high and prolonged wind speeds, wet conditions, and high air density increase tree fall risk. These factors might change in the changing climate, which in return will change risks for trees, forests and transport.
Natalia Korhonen, Otto Hyvärinen, Virpi Kollanus, Timo Lanki, Juha Jokisalo, Risto Kosonen, David S. Richardson, and Kirsti Jylhä
Nat. Hazards Earth Syst. Sci., 25, 1865–1879, https://doi.org/10.5194/nhess-25-1865-2025, https://doi.org/10.5194/nhess-25-1865-2025, 2025
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The skill of hindcasts from the European Centre for Medium-Range Weather Forecasts in forecasting heat wave days, defined as periods with the 5 d moving average temperature exceeding its local summer 90th percentile over Europe 1 to 4 weeks ahead, is examined. Forecasts of heat wave days show potential for warning of heat risk 1 to 2 weeks in advance and enhanced accuracy in forecasting prolonged heat waves up to 3 weeks ahead, when the heat wave had already begun before forecast issuance.
Cees de Valk and Henk van den Brink
Nat. Hazards Earth Syst. Sci., 25, 1769–1788, https://doi.org/10.5194/nhess-25-1769-2025, https://doi.org/10.5194/nhess-25-1769-2025, 2025
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Estimates of the risk posed by rare and catastrophic weather events are often derived from relatively short measurement records, which renders them highly uncertain. We investigate if (and by how much) this uncertainty can be reduced by making use of large datasets of simulated weather. More specifically, we focus on coastal flood hazard in the Netherlands and on the challenge of estimating the once in 10 million years coastal water level and wind stress as accurately as possible.
Felix Erdmann and Dieter Roel Poelman
Nat. Hazards Earth Syst. Sci., 25, 1751–1768, https://doi.org/10.5194/nhess-25-1751-2025, https://doi.org/10.5194/nhess-25-1751-2025, 2025
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This study provides detailed insight into the thunderstorm characteristics associated with abrupt changes in the lightning activity of a thunderstorm – lightning jumps (LJs) and lightning dives (LDs) – using geostationary satellite observations. Thunderstorms exhibiting one or multiple LJs or LDs feature characteristics similar to severe thunderstorms. Storms with multiple LJs contain strong convective updrafts and are prone to produce high rain rates, large hail, or tornadoes.
Jinfang Yin, Feng Li, Mingxin Li, Rudi Xia, Xinghua Bao, Jisong Sun, and Xudong Liang
Nat. Hazards Earth Syst. Sci., 25, 1719–1735, https://doi.org/10.5194/nhess-25-1719-2025, https://doi.org/10.5194/nhess-25-1719-2025, 2025
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A persistent severe rainfall event occurred over North China in July 2023, which was regarded as one of the most extreme episodes globally during that year. The extreme rainfall was significantly underestimated by forecasters at that time. Flooding from this event affected 1.3 million people, causing severe human casualties and economic losses. We examined the convective initiation and subsequent persistent heavy rainfall based on simulations with the Weather Research and Forecasting model.
Ilona Láng-Ritter, Terhi Kristiina Laurila, Antti Mäkelä, Hilppa Gregow, and Victoria Anne Sinclair
Nat. Hazards Earth Syst. Sci., 25, 1697–1717, https://doi.org/10.5194/nhess-25-1697-2025, https://doi.org/10.5194/nhess-25-1697-2025, 2025
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We present a classification method for extratropical cyclones and windstorms and show their impacts on Finland's electricity grid by analysing the 92 most damaging windstorms (2005–2018). The south-west- and north-west-arriving windstorms cause the most damage to the power grid. The most relevant parameters for damage are the wind gust speed and extent of wind gusts. Windstorms are more frequent and damaging in autumn and winter, but weaker wind speeds in summer also cause significant damage.
Joseph W. Gallear, Marcelo Valadares Galdos, Marcelo Zeri, and Andrew Hartley
Nat. Hazards Earth Syst. Sci., 25, 1521–1541, https://doi.org/10.5194/nhess-25-1521-2025, https://doi.org/10.5194/nhess-25-1521-2025, 2025
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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 stress on vegetation health using machine learning. Results aim to inform future developments in operational drought monitoring at the National Centre for Monitoring and Early Warning of Natural Disasters (CEMADEN) in Brazil. This information is essential for disaster preparedness and planning of future actions to support areas affected by drought.
Thomas Schwitalla, Lisa Jach, Volker Wulfmeyer, and Kirsten Warrach-Sagi
Nat. Hazards Earth Syst. Sci., 25, 1405–1424, https://doi.org/10.5194/nhess-25-1405-2025, https://doi.org/10.5194/nhess-25-1405-2025, 2025
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During recent decades, Europe has experienced increasing periods of severe drought and heatwave. To provide an overview of how land-surface conditions shape land–atmosphere (LA) coupling, the interannual LA coupling strength variability for the summer seasons of 1991–2022 is investigated by means of ERA5 data. The results clearly reflect ongoing climate change by a shift in the coupling relationships towards reinforced heating and drying by the land surface.
Marcos Roberto Benso, Roberto Fray Silva, Gabriela Chiquito Gesualdo, Antonio Mauro Saraiva, Alexandre Cláudio Botazzo Delbem, Patricia Angélica Alves Marques, José Antonio Marengo, and Eduardo Mario Mendiondo
Nat. Hazards Earth Syst. Sci., 25, 1387–1404, https://doi.org/10.5194/nhess-25-1387-2025, https://doi.org/10.5194/nhess-25-1387-2025, 2025
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This study applies climate extreme indices to assess climate risks to food security. Using an explainable machine learning analysis, key climate indices affecting maize and soybean yields in Brazil were identified. Results reveal the temporal sensitivity of these indices and critical yield loss thresholds, informing policy and adaptation strategies.
Juan F. Dueñas, Edda Kunze, Huiying Li, and Matthias C. Rillig
Nat. Hazards Earth Syst. Sci., 25, 1377–1386, https://doi.org/10.5194/nhess-25-1377-2025, https://doi.org/10.5194/nhess-25-1377-2025, 2025
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We investigated the potential of adding mixtures composed of minimum dosages of several popular amendment types to soil. Our goal was to increase the resistance of agricultural soil to drought stress. We found that adding mixtures of three to five amendment types increased the capacity of soil to retain water, reduced soil erosion, and increased fungal abundance while buffering soil from drastic changes in pH. More research is encouraged to validate this approach.
Killian P. Brennan, Iris Thurnherr, Michael Sprenger, and Heini Wernli
EGUsphere, https://doi.org/10.5194/egusphere-2025-918, https://doi.org/10.5194/egusphere-2025-918, 2025
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Hailstorms can cause severe damage to homes, crops, and infrastructure. Using high-resolution climate simulations, we tracked thousands of hailstorms across Europe to study future changes. Large hail will become more frequent, hail-covered areas will expand, and extreme hail combined with heavy rain will double. These shifts could increase risks for communities and businesses, highlighting the need for better preparedness and adaptation.
Soledad Collazo, David Barriopedro, Ricardo García-Herrera, and Santiago Beguería
EGUsphere, https://doi.org/10.5194/egusphere-2025-792, https://doi.org/10.5194/egusphere-2025-792, 2025
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In the 2023/24 season, Rio de Janeiro experienced record-breaking heatwaves linked to climate change and El Niño. Our study shows global warming made these extreme temperatures at least 2°C hotter than in pre-industrial times. Heat-related deaths surged, with climate change contributing to 1 in 3 fatalities during the peak event. Without adaptation, future heatwaves will claim even more lives. This underscores the urgent need for policies to mitigate climate impacts from escalating heat threats.
François Collet, Margot Bador, Julien Boé, Laurent Dubus, and Bénédicte Jourdier
Nat. Hazards Earth Syst. Sci., 25, 843–856, https://doi.org/10.5194/nhess-25-843-2025, https://doi.org/10.5194/nhess-25-843-2025, 2025
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Our aim 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 decrease over the 1950–2022 period, which is likely due to a decrease in cold days. Large-scale atmospheric circulation is an important driver of compound event occurrence and has likely contributed to the decrease in cold days, while we cannot draw conclusions on its influence on the decrease in compound events.
Fabio Dioguardi, Giovanni Chiodini, and Antonio Costa
Nat. Hazards Earth Syst. Sci., 25, 657–674, https://doi.org/10.5194/nhess-25-657-2025, https://doi.org/10.5194/nhess-25-657-2025, 2025
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We present results of non-volcanic-gas (CO2) hazard assessment at the Mefite d’Ansanto area (Italy) where a cold-gas stream, which has already been lethal to humans and animals, forms in the valleys surrounding the emission zone. We took the uncertainty related to the gas emission and meteorological conditions into account. Results include maps of CO2 concentrations at defined probability levels and the probability of overcoming specified CO2 concentrations over specified time intervals.
Sonja Szymczak, Frederick Bott, Vigile Marie Fabella, and Katharina Fricke
Nat. Hazards Earth Syst. Sci., 25, 683–707, https://doi.org/10.5194/nhess-25-683-2025, https://doi.org/10.5194/nhess-25-683-2025, 2025
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We investigate the correlation between heavy-rainfall events and three associated natural hazards along the German rail network using GIS analyses and random-effects logistic models. The results show that 23 % of floods, 14 % of gravitational mass movements, and 2 % of tree fall events between 2017 and 2020 occurred after a heavy-rainfall event, and the probability of occurrence of flood and tree fall events significantly increased. This study contributes to more resilient rail transport.
Daniel G. Kingston, Liam Cooper, David A. Lavers, and David M. Hannah
Nat. Hazards Earth Syst. Sci., 25, 675–682, https://doi.org/10.5194/nhess-25-675-2025, https://doi.org/10.5194/nhess-25-675-2025, 2025
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Extreme rainfall comprises a major hydrohazard 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 geographical setting.
Tiago M. Ferreira, Ricardo M. Trigo, Tomás H. Gaspar, Joaquim G. Pinto, and Alexandre M. Ramos
Nat. Hazards Earth Syst. Sci., 25, 609–623, https://doi.org/10.5194/nhess-25-609-2025, https://doi.org/10.5194/nhess-25-609-2025, 2025
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We investigate the synoptic evolution associated with the occurrence of an atmospheric river that led 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 12 December.
Elena Xoplaki, Florian Ellsäßer, Jens Grieger, Katrin M. Nissen, Joaquim G. Pinto, Markus Augenstein, Ting-Chen Chen, Hendrik Feldmann, Petra Friederichs, Daniel Gliksman, Laura Goulier, Karsten Haustein, Jens Heinke, Lisa Jach, Florian Knutzen, Stefan Kollet, Jürg Luterbacher, Niklas Luther, Susanna Mohr, Christoph Mudersbach, Christoph Müller, Efi Rousi, Felix Simon, Laura Suarez-Gutierrez, Svenja Szemkus, Sara M. Vallejo-Bernal, Odysseas Vlachopoulos, and Frederik Wolf
Nat. Hazards Earth Syst. Sci., 25, 541–564, https://doi.org/10.5194/nhess-25-541-2025, https://doi.org/10.5194/nhess-25-541-2025, 2025
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Europe frequently experiences compound events, with major impacts. We investigate these events’ interactions, characteristics, and changes over time, focusing on socio-economic impacts in Germany and central Europe. Highlighting 2018’s extreme events, this study reveals impacts on water, agriculture, and forests and stresses the need for impact-focused definitions and better future risk quantification to support adaptation planning.
Lixin Song, Feifei Shen, Zhixin He, Dongmei Xu, Aiqing Shu, and Jiajun Chen
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-203, https://doi.org/10.5194/nhess-2024-203, 2025
Revised manuscript accepted for NHESS
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When retrieving hydrometeors from reflectivity, there are two methods to allocate hydrometeor types: temperature-based and background hydrometer-dependent schemes. The temperature-based method divides hydrometeor proportions based on the background temperature, while the other scheme calculates average weights of each hydrometeor in various reflectivity intervals from background fields. The blending scheme adaptively combines these methods and is found to improve precipitation forecast accuracy.
Alan Demortier, Marc Mandement, Vivien Pourret, and Olivier Caumont
Nat. Hazards Earth Syst. Sci., 25, 429–449, https://doi.org/10.5194/nhess-25-429-2025, https://doi.org/10.5194/nhess-25-429-2025, 2025
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The use of numerical weather prediction models enables the forecasting of hazardous weather situations. The incorporation of new temperature and relative humidity observations from personal weather stations into the French limited-area model is evaluated in this study. This leads to the improvement of the associated near-surface variables of the model during the first hours of the forecast. Examples are provided for a sea breeze case during a heatwave and a fog episode.
Francisco Javier Acero, Manuel Antón, Alejandro Jesús Pérez Aparicio, Nieves Bravo-Paredes, Víctor Manuel Sánchez Carrasco, María Cruz Gallego, José Agustín García, Marcelino Núñez, Irene Tovar, Javier Vaquero-Martínez, and José Manuel Vaquero
Nat. Hazards Earth Syst. Sci., 25, 305–320, https://doi.org/10.5194/nhess-25-305-2025, https://doi.org/10.5194/nhess-25-305-2025, 2025
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The month of June 1925 was found to be exceptional in the southwest interior of the Iberian Peninsula due to the large number of thunderstorms and their significant impacts, with serious losses of human lives and material resources. We analyzed this event from different, complementary perspectives: reconstruction of the history of the events from newspapers, study of monthly meteorological variables of the longest series available, and the analysis of the meteorological synoptic situation.
Tiberiu-Eugen Antofie, Stefano Luoni, Aloïs Tilloy, Andrea Sibilia, Sandro Salari, Gustav Eklund, Davide Rodomonti, Christos Bountzouklis, and Christina Corbane
Nat. Hazards Earth Syst. Sci., 25, 287–304, https://doi.org/10.5194/nhess-25-287-2025, https://doi.org/10.5194/nhess-25-287-2025, 2025
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This is the first study that uses spatial patterns (clusters/hotspots) and meta-analysis in order to identify the regions at a European level at risk of multi-hazards. The findings point out the socioeconomic dimension as a determining factor in the potential risk of multi-hazards. The outcome provides valuable input for the disaster risk management policy support and will assist national authorities on the implementation of a multi-hazard approach in national risk assessment preparation.
Joona Cornér, Clément Bouvier, Benjamin Doiteau, Florian Pantillon, and Victoria A. Sinclair
Nat. Hazards Earth Syst. Sci., 25, 207–229, https://doi.org/10.5194/nhess-25-207-2025, https://doi.org/10.5194/nhess-25-207-2025, 2025
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Classification reduces the considerable variability between extratropical cyclones (ETCs) and thus simplifies studying their representation in climate models and changes in the future climate. In this paper we present an objective classification of ETCs using measures of ETC intensity. This is motivated by the aim of finding a set of ETC intensity measures which together comprehensively describe both the dynamical and impact-relevant nature of ETC intensity.
Cedric G. Ngoungue Langue, Christophe Lavaysse, and Cyrille Flamant
Nat. Hazards Earth Syst. Sci., 25, 147–168, https://doi.org/10.5194/nhess-25-147-2025, https://doi.org/10.5194/nhess-25-147-2025, 2025
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The present study addresses the predictability of heat waves at subseasonal timescales in West African cities over the period 2001–2020. Two models, the European Centre for Medium-Range Weather Forecasts (ECMWF) and the UK Met Office models, were evaluated using two reanalyses: ERA5 and MERRA. The results suggest that at subseasonal timescales, the forecast models provide a better forecast than climatology, but the hit rate and false alarm rate are sub-optimal.
Florian Knutzen, Paul Averbeck, Caterina Barrasso, Laurens M. Bouwer, Barry Gardiner, José M. Grünzweig, Sabine Hänel, Karsten Haustein, Marius Rohde Johannessen, Stefan Kollet, Mortimer M. Müller, Joni-Pekka Pietikäinen, Karolina Pietras-Couffignal, Joaquim G. Pinto, Diana Rechid, Efi Rousi, Ana Russo, Laura Suarez-Gutierrez, Sarah Veit, Julian Wendler, Elena Xoplaki, and Daniel Gliksman
Nat. Hazards Earth Syst. Sci., 25, 77–117, https://doi.org/10.5194/nhess-25-77-2025, https://doi.org/10.5194/nhess-25-77-2025, 2025
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Our research, involving 22 European scientists, investigated drought and heat impacts on forests in 2018–2022. Findings reveal that climate extremes are intensifying, with central Europe being most severely impacted. The southern region showed resilience due to historical drought exposure, while northern and Alpine areas experienced emerging or minimal impacts. The study highlights the need for region-specific strategies, improved data collection, and sustainable practices to safeguard forests.
Georgy Ayzel and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 25, 41–47, https://doi.org/10.5194/nhess-25-41-2025, https://doi.org/10.5194/nhess-25-41-2025, 2025
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Forecasting rainfall over the next hour is an essential feature of early warning systems. Deep learning (DL) has emerged as a powerful alternative to conventional nowcasting technologies, but it still struggles to adequately predict impact-relevant heavy rainfall. We think that DL could do much better if the training tasks were defined more specifically and that such specification presents an opportunity to better align the output of nowcasting models with actual user requirements.
Monica Ionita, Petru Vaideanu, Bogdan Antonescu, Catalin Roibu, Qiyun Ma, and Viorica Nagavciuc
Nat. Hazards Earth Syst. Sci., 24, 4683–4706, https://doi.org/10.5194/nhess-24-4683-2024, https://doi.org/10.5194/nhess-24-4683-2024, 2024
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Eastern Europe's heat wave history is explored from 1885 to 2023, with a focus on pre-1960 events. The study reveals two periods with more frequent and intense heat waves (HWs): 1920s–1960s and 1980s–present. The research highlights the importance of a long-term perspective, revealing that extreme heat events have occurred throughout the entire study period, and it emphasizes the combined influence of climate change and natural variations on increasing HW severity.
Tristan Shepherd, Frederick Letson, Rebecca J. Barthelmie, and Sara C. Pryor
Nat. Hazards Earth Syst. Sci., 24, 4473–4505, https://doi.org/10.5194/nhess-24-4473-2024, https://doi.org/10.5194/nhess-24-4473-2024, 2024
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A historic derecho in the USA is presented. The 29 June 2012 derecho caused more than 20 deaths and millions of US dollars of damage. We use a regional climate model to understand how model fidelity changes under different initial conditions. We find changes drive different convective conditions, resulting in large variation in the simulated hazards. The variation using different reanalysis data shows that framing these results in the context of contemporary and future climate is a challenge.
Stephen Cusack and Tyler Cox
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-210, https://doi.org/10.5194/nhess-2024-210, 2024
Revised manuscript accepted for NHESS
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Warming seas have been driving greater hailstorm risk in Europe over the past few decades. Modern climate models indicate anthropogenic aerosols caused the observed cooling of seas from about 1900 to the 1970s, while the recent rapid warming is mostly explained by rising greenhouse gases. Current trends in anthropogenic forcing are likely to persist, suggesting seas will continue warming, and hailstorm risk over Europe will continue rising over the next couple of decades, at least.
Lena Wilhelm, Cornelia Schwierz, Katharina Schröer, Mateusz Taszarek, and Olivia Martius
Nat. Hazards Earth Syst. Sci., 24, 3869–3894, https://doi.org/10.5194/nhess-24-3869-2024, https://doi.org/10.5194/nhess-24-3869-2024, 2024
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In our study we used statistical models to reconstruct past hail days in Switzerland from 1959–2022. This new time series reveals a significant increase in hail day occurrences over the last 7 decades. We link this trend to increases in moisture and instability variables in the models. This time series can now be used to unravel the complexities of Swiss hail occurrence and to understand what drives its year-to-year variability.
Diego Saúl Carrió, Vincenzo Mazzarella, and Rossella Ferretti
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-177, https://doi.org/10.5194/nhess-2024-177, 2024
Revised manuscript accepted for NHESS
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Populated coastal regions in the Mediterranean are known to be severely affected by extreme weather events that are initiated over maritime regions. These weather events are known to pose a serious problem in terms of numerical predictability. Different Data Assimilation techniques are used in this study with the main aim of enhancing short-range forecasts of two challenging severe weather events.
Thomas Loridan and Nicolas Bruneau
EGUsphere, https://doi.org/10.5194/egusphere-2024-3253, https://doi.org/10.5194/egusphere-2024-3253, 2024
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Tropical Cyclone (TC) risk models have been used by the insurance industry to quantify occurrence and severity risk since the 90s. To date these models are mostly built from backward looking statistics and portray risk under a static view of the climate. We here introduce a novel approach, based on machine learning, that allows sampling of climate variability when assessing TC risk globally. This is of particular importance when computing forward looking views of TC risk.
Herijaona Hani-Roge Hundilida Randriatsara, Eva Holtanova, Karim Rizwan, Hassen Babaousmail, Mirindra Finaritra Tanteliniaina Rabezanahary, Kokou Romaric Posset, Donnata Alupot, and Brian Odhiambo Ayugi
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-191, https://doi.org/10.5194/nhess-2024-191, 2024
Revised manuscript accepted for NHESS
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This study aims to analyze the spatiotemporal characteristics of drought (duration, frequency, severity, intensity) over Madagascar during 1981–2022 by using Standardized Precipitation Index (SPI-3, -6 and -12). Additionally, the impact of drought on vegetation over the studied area was assessed based on the relationship evaluation between SPI and the Normalized Difference Vegetation Index (NDVI) during 2000–2022.
Gwendoline Ducros, Timothy Tiggeloven, Lin Ma, Anne Sophie Daloz, Nina Schuhen, and Marleen C. de Ruiter
EGUsphere, https://doi.org/10.5194/egusphere-2024-3158, https://doi.org/10.5194/egusphere-2024-3158, 2024
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Our study finds that heatwave, drought and wildfire events occurring simultaneously in Scandinavia are pronounced in the summer months; and the heat-drought 2018 event led to a drop in gross domestic product, affecting agriculture and forestry imports, further impacting Europe’s trade balance. This research shows the importance of ripple effects of multi-hazard, and that forest management and adaptation measures are vital to reducing the risks of heat-related multi-hazards in vulnerable areas.
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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To effectively track and identify droughts, we developed a novel integrated drought index that combines the effects of precipitation, temperature, and soil moisture on drought. After comparison and verification, the integrated drought index shows superior performance compared to a single meteorological drought index or agricultural drought index in terms of drought identification.
Julia Moemken, Inovasita Alifdini, Alexandre M. Ramos, Alexandros Georgiadis, Aidan Brocklehurst, Lukas Braun, and Joaquim G. Pinto
Nat. Hazards Earth Syst. Sci., 24, 3445–3460, https://doi.org/10.5194/nhess-24-3445-2024, https://doi.org/10.5194/nhess-24-3445-2024, 2024
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European windstorms regularly cause damage to natural and human-made environments, leading to high socio-economic losses. For the first time, we compare estimates of these losses using a meteorological loss index (LI) and the insurance loss (catastrophe) model of Aon Impact Forecasting. We find that LI underestimates high-impact windstorms compared to the insurance model. Nonetheless, due to its simplicity, LI is an effective index, suitable for estimating impacts and ranking storm events.
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.
Katharina Küpfer, Alexandre Tuel, and Michael Kunz
EGUsphere, https://doi.org/10.5194/egusphere-2024-2803, https://doi.org/10.5194/egusphere-2024-2803, 2024
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Using loss data, we assess when and how single and multiple types of meteorological extremes (river floods and heavy rainfall events, windstorms and convective gusts, and hail). We find that the combination of several types of hazards clusters robustly on a seasonal scale, whereas only some single hazard types occur in clusters. This can be associated with higher losses compared to isolated events. We argue for the relevance of jointly considering multiple types of hazards.
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.
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.
Xiaoxiang Guan, Dung Viet Nguyen, Paul Voit, Bruno Merz, Maik Heistermann, and Sergiy Vorogushyn
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-143, https://doi.org/10.5194/nhess-2024-143, 2024
Revised manuscript accepted for NHESS
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We evaluated a multi-site stochastic regional weather generator (nsRWG) for its ability to capture the cross-scale extremity of high precipitation events (HPEs) in Germany. We generated 100 realizations of 72 years of daily synthetic precipitation data. The performance was assessed using WEI and xWEI indices, which measure event extremity across spatio-temporal scales. Results show nsRWG simulates well the extremity patterns of HPEs, though it overestimates short-duration, small-extent events.
Cited articles
Aerts, J. C. J. H., Botzen, W. J., Clarke, K. C., Cutter, S. L., Hall, J.
W., Merz, B., Michel-Kerjan, E., Mysiak, J., Surminski, S., and Kunreuther,
H.: Integrating human behaviour dynamics into flood disaster risk
assessment, Nat. Clim. Change, 8, 193–199,
https://doi.org/10.1038/s41558-018-0085-1, 2018.
Aitkenhead, I., Kuleshov, Y., Watkins, A. B., Bhardwaj, J., and Asghari, A.:
Assessing agricultural drought management strategies in the Northern
Murray–Darling Basin, Nat. Hazards, 109, 1425–1455, https://doi.org/10.1007/s11069-021-04884-6, 2021.
Allan, R. J., Gergis, J., and D'Arrigo, R. D.: Placing the AD 2014–2016
“protracted” El Niño episode into a long-term context, Holocene, 30,
90–105, https://doi.org/10.1177/0959683619875788, 2019.
Allen, B. and Bourke, R.: The 1997–98 Drought in Papua New Guinea: Failure
of Policy or Triumph of the Citizenry?, in: Policy Making and Implementation
Studies from Papua New Guinea, edited by: May, R., State, Society and
Governance in Melanesia, ANU Press, Australia, 325–343, http://hdl.handle.net/1885/49463 (last access: 5 July 2021), 2009.
Anand, A., Agrawal, M., Bhatt, N., and Ram, M.: Software Patch Scheduling
Policy Incorporating Functional Safety Standards, in: Advances in System
Reliability Engineering, Academic Press, 267–279,
https://doi.org/10.1016/B978-0-12-815906-4.00011-7, 2019.
Annamalai, H., Keener, V., Widlansky, M. J., and Hafner, J.: El Niño
Strengthens in the Pacific: Preparing for the Impacts of Drought,
AsiaPacific, 122, 2–10, 2015.
Asare-Kyei, D., Renaud, F. G., Kloos, J., Walz, Y., and Rhyner, J.:
Development and validation of risk profiles of West African rural
communities facing multiple natural hazards, PLOS ONE, 12, e0171921, https://doi.org/10.1371/journal.pone.0171921, 2017.
Bang, S. and Crimp, S.: Accessible weather forecasts, advisories key to PNG farm resilience, Partners in Research for Development, 3, 14–17, https://search.informit.org/doi/10.3316/informit.950510834174223 (last access: 2 July 2021), 2019.
Bang, S., Sitango, K., and UN.ESCAP: Indigenous Drought Coping Strategies and
Risk Management against El Nino in Papua New Guinea, CGPRT Centre Working
Paper, Papua New Guinea, https://hdl.handle.net/20.500.12870/4190 (last access: 2 July 2021), 2003.
Beck, H. E., Wood, E. F., Pan, M., Fisher, C. K., Miralles, D. G., Van Dijk, A. I. J. M., McVicar, T. R., and Adler, R. F.: MSWEP V2 Global 3-Hourly 0.1 Precipitation: Methodology and Quantitative Assessment, B. Am. Meteorol. Soc., 100, 473–500, https://doi.org/10.1175/BAMS-D-17-0138.1, 2019.
Benzie, M., Hedlund, J., and Carlsen, H.: Introducing the Transnational
Climate Impacts Index: Indicators of country-level exposure – methodology
report, Stockholm Environment Institute, 7, 3–43, https://www.weadapt.org/sites/weadapt.org/files/2017/november/sei-wp-2016-07-introducing-tci-index.pdf (last access: 2 July 2021), 2016.
Bhardwaj, J., Kuleshov, Y., Watkins, A. B., Aitkenhead, I., and Asghari, A.:
Building capacity for a user-centred Integrated Early Warning System (I-EWS)
for drought in the Northern Murray-Darling Basin, Nat. Hazards, 107, 97–122, https://doi.org/10.1007/s11069-021-04575-2, 2021a.
Bhardwaj, J., Kuleshov, Y., Chua, Z.-W., Watkins, A. B., Choy, S., and Sun,
Q.: Building Capacity for a User-Centred Integrated Early Warning System for
Drought in Papua New Guinea, Remote Sens., 13, 3307, https://doi.org/10.3390/rs13163307, 2021b.
Bijaber, N.: Developing a remotely sensed drought monitoring indicator for
Morocco, Geosciences, 8, 55, https://doi.org/10.3390/geosciences8020055, 2018.
Blauhut, V.: The triple complexity of drought risk analysis and its
visualisation via mapping: a review across scales and sectors, Earth-Sci.
Rev., 210, 103345, https://doi.org/10.1016/j.earscirev.2020.103345, 2020.
Bonnafous, L., Lall, U., and Siegel, J.: An index for drought induced
financial risk in the mining industry, Water Resour. Res., 53,
1509–1524, https://doi.org/10.1002/2016WR019866, 2017.
Broughton, B.: Evaluation of Australia’s response to El Niño Drought and Frosts in PNG 2015-17, INL847, Australian Department of Foreign Affairs and Trade, Australian Government, https://www.dfat.gov.au/sites/default/files/evaluation-of-australias-response-to-png-el-nino-drought-2015-2017.pdf (last access: 5 May 2020), 2017.
Burivalova, Z., Towsey, M., Boucher, T., Truskinger, A., Apelis, C., Roe,
P., and Game, E. T.: Using soundscapes to detect variable degrees of human
influence on tropical forests in Papua New Guinea, Conserv. Biol., 32,
205–215, https://doi.org/10.1111/cobi.12968, 2017.
Chand, S.: Registration and release of customary-land for private
enterprise: Lessons from Papua New Guinea, Land Use Policy, 61, 413–419,
https://doi.org/10.1016/j.landusepol.2016.11.039, 2017.
Chen, K., Blong, R., and Jacobson, C.: Towards an integrated approach to
natural hazards risk assessment using GIS: with reference to bushfires,
Environ. Manage., 31, 546–560, https://doi.org/10.1007/s00267-002-2747-y, 2003.
Chua, Z.-W., Kuleshov, Y., and Watkins, A. B.: Drought Detection over Papua
New Guinea Using Satellite-Derived Products, Remote Sens., 12, 3859, https://doi.org/10.3390/rs12233859, 2020.
Dayal, K. S., Deo, R. C., and Apan, A. A.: Spatio-temporal drought risk
mapping approach and its application in the drought-prone region of
south-east Queensland, Australia, Nat. Hazards, 93, 823–847, https://doi.org/10.1007/s11069-018-3326-8, 2018.
De Deckker, P.: The Indo-Pacific Warm Pool: critical to world oceanography
and world climate, Geoscience Letters, 3, 20, https://doi.org/10.1186/s40562-016-0054-3, 2016.
Environmental Systems Research Institute (ESRI) Inc.: Fuzzy membership, ArcGIS Pro (10.7.1), Environmental Systems Research Institute (ESRI) Inc. [code], https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-analyst/fuzzy-membership.htm (last access: 15 December 2020), 2019a.
Environmental Systems Research Institute (ESRI) Inc.: Fuzzy overlay, ArcGIS Pro (10.7.1),
Environmental Systems Research Institute (ESRI) Inc. [code], https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-analyst/fuzzy-overlay.htm (last access: 15 December 2020), 2019b.
European Centre for Medium-Range Weather Forecasts (ECMWF), National Aeronautics and Space Administration (NASA), and National Aeronautics and Space Administration (NOAA): MSWEP (Multi-Source Weighted-Ensemble Precipitation), GloH20 [data set], http://www.gloh2o.org/mswep/, last access: 3 May 2021.
Fallon, A. L., Villholth, K. G., Conway, D., Lankford, B. A., and Ebrahim,
G. Y.: Agricultural groundwater management strategies and seasonal climate
forecasting: perceptions from Mogwadi (Dendron), Limpopo, South Africa, J.
Water Clim. Change, 10, 142–157, https://doi.org/10.2166/wcc.2018.042, 2018.
Farok, G. and Homayouni, S.: Foundations of mathematics play the baseline
for data exploring, forecasting and analyzing of risks to get an economic
decision, African Journal of Engineering Research, 6, 25–31, https://doi.org/10.30918/AJER.62.18.006, 2018.
Fekete, A.: Social Vulnerability (Re-)Assessment in Context to Natural
Hazards: Review of the Usefulness of the Spatial Indicator Approach and
Investigations of Validation Demands, Int. J. Disast. Risk
Sc., 10, 220–232, https://doi.org/10.1007/s13753-019-0213-1, 2019.
Finucane, M. L.: Why science alone won't solve the climate crisis: Managing climate risks in the Pacific, Asia Pacific Issues, 89, 1–8, http://hdl.handle.net/10125/11545 (last access: 1 July 2021), 2009.
Food and Agriculture Organisation of the United Nations: FAO 2020–2021 La
Niña advisory, Food and Agriculture Organisation of the United Nations,
Rome, 1–14, https://www.fao.org/3/cb2954en/cb2954en.pdf, last access: 10 June 2021.
Food Security Cluster, Secretariat of the Pacific Regional Environment
Programme, and World Food Programme: Anticipatory Action Advisory for
Pacific Food Security – La Niña 2021, Italy, Pacific Food Security Cluster, https://fscluster.org/pacific/document/anticipatory-action-advisory-pacific-0, last access: 10 June 2021.
Fragaszy, S. R., Jedd, T., Wall, N., Knutson, C., Fraj, M. B., Bergaoui, K.,
Svoboda, M., Hayes, M., and McDonnell, R.: Drought Monitoring in the Middle
East and North Africa (MENA) Region: Participatory Engagement to Inform
Early Warning Systems, B. Am. Meteorol. Soc., 101,
E1148–E1173, https://doi.org/10.1175/BAMS-D-18-0084.1, 2020.
Frischen, J., Meza, I., Rupp, D., Wietler, K., and Hagenlocher, M.: Drought
Risk to Agricultural Systems in Zimbabwe: A Spatial Analysis of Hazard,
Exposure, and Vulnerability, Sustainability, 12, 752, https://doi.org/10.3390/su12030752, 2020.
González Tánago, I., Urquijo, J., Blauhut, V., Villarroya, F., and
De Stefano, L.: Learning from experience: a systematic review of assessments
of vulnerability to drought, Nat. Hazards, 80, 951–973, https://doi.org/10.1007/s11069-015-2006-1, 2016.
Gwatirisa, P. R., Pamphilon, B., and Mikhailovich, K.: Coping with Drought
in Rural Papua New Guinea: A Western Highlands Case Study, Ecol. Food Nutr., 56, 393–410, https://doi.org/10.1080/03670244.2017.1352504, 2017.
Hagenlocher, M., Meza, I., Anderson, C. C., Min, A., Renaud, F. G., Walz,
Y., Siebert, S., and Sebesvari, Z.: Drought vulnerability and risk
assessments: state of the art, persistent gaps, and research agenda,
Environ. Res. Lett., 14, 083002, https://doi.org/10.1088/1748-9326/ab225d, 2019.
Hagenlocher, M., Thieken, A., Schneiderbauer, S., Aguirre Ayerbe, I., Dobes,
P., Donovan, A., Morsut, C., Paris, N., Pedoth, L., and Tonmoy, F.: Risk
Assessment, in: Science for Disaster Risk Management 2020: acting today,
protecting tomorrow, edited by: Casajus Valles, A., Marin Ferrer, M.,
Poljanšek, K., and Clark, I., Publications Office of the European Union,
Luxembourg, 54–65, https://doi.org/10.2760/571085, 2020.
Horton, J. B., Lefale, P., and Keith, D.: Parametric Insurance for Solar
Geoengineering: Insights from the Pacific Catastrophe Risk Assessment and
Financing Initiative, Glob. Policy, 12, 97–107,
https://doi.org/10.1111/1758-5899.12864, 2021.
Iese, V., Kiem, A. S., Mariner, A., Malsale, P., Tofaeono, T., Kirono, D. G.
C., Round, V., Heady, C., Tigona, R., Veisa, F., Posanau, K., Aiono, F.,
Haruhiru, A., Daphne, A., Vainikolo, V., and Iona, N.: Historical and future
drought impacts in the Pacific islands and atolls, Clim. Change, 166, 19,
https://doi.org/10.1007/s10584-021-03112-1, 2021.
Jacka, J. K.: In the Time of Frost: El Niño and the Political Ecology of
Vulnerability in Papua New Guinea, Anthropol. Forum, 30, 141–156, https://doi.org/10.1080/00664677.2019.1647832, 2020.
Japan Aerospace Exploration Agency (JAXA): Earth-graphy and Space Technology Directorate: Vegetation, Japan Aerospace Exploration Agency (JAXA) [data set], https://earth.jaxa.jp/en/data/products/vegetation/index.html, last access: 3 May 2021.
Japan Aerospace Exploration Agency (JAXA) and Earth Observation Research Center (EORC): Japan Aerospace Exploration Agency (JAXA) Climate Rainfall Watch, GSMaP (Global Satellite Mapping of Precipitation) [data set], https://sharaku.eorc.jaxa.jp/GSMaP_CLM/index.htm, last access: 3 May 2021.
Johnson, N. C., L'Heureux, M. L., Chang, C. H., and Hu, Z. Z.: On the
Delayed Coupling Between Ocean and Atmosphere in Recent Weak El Niño
Episodes, Geophys. Res. Lett., 46, 11416–11425,
https://doi.org/10.1029/2019GL084021, 2019.
Kanua, M., Bourke, R., Jinks, B., and Lowe, M.: Assessing Village Food Needs
Following a Natural Disaster in Papua New Guinea, Church Partnership Program, Port Moresby, http://hdl.handle.net/1885/109282 (last access: 8 July 2021), 2016.
Korada, N., Sekac, T., Jana, S. K., and Pal, S. K.: Delineating Drought Risk Areas Using Remote Sensing and Geographic Information Systems – A Case Study of Western Highlands Province, Papua New Guinea, European Journal of Engineering and Technology Research, 3, 103–110, https://doi.org/10.24018/ejeng.2018.3.10.937, 2018.
Kuleshov, Y., McGree, S., Jones, D., Charles, A., Cottrill, A., Prakash, B.,
Atalifo, T., Nihmei, S., and Seuseu, F. L. S. K.: Extreme weather and
climate events and their impacts on island countries in the Western Pacific:
cyclones, floods and droughts, Atmospheric and Climate Sciences, 4, 803–818, https://doi.org/10.4236/acs.2014.45071, 2014.
Kuleshov, Y., Kurino, T., Kubota, T., Tashima, T., and Xie, P.: WMO
Space-based Weather and Climate Extremes Monitoring Demonstration Project
(SEMDP): First Outcomes of Regional Cooperation on Drought and Heavy
Precipitation Monitoring for Australia and Southeast Asia, in: Rainfall –
Extremes, Distribution and Properties, edited by: Abbot, J. and Hammond, A.,
IntechOpen, https://doi.org/10.5772/intechopen.85824, 2019.
Kuleshov, Y., Inape, K., Watkins, A., Bear-Crozier, A., Chua, Z.-W., Xie,
P., Kubota, T., Tashima, T., Stefanski, R., and Kurino, T.: Climate Risk and
Early Warning Systems (CREWS) for Papua New Guinea, in: Drought – Detection
and Solutions, edited by: Ondrasek, G., IntechOpen, https://doi.org/10.5772/intechopen.85962, 2020.
Le, T., Sun, C., Choy, S., and Kuleshov, Y.: Regional drought risk assessment in the Central Highlands and the South of Vietnam, Geomat. Nat. Hazards Risk, 12, 3140–3159, https://doi.org/10.1080/19475705.2021.1998232, 2021.
Mckenna, K. and Yakam, L.: Signs of “The End Times”: Perspectives on Climate Change Among Market Sellers in Madang, Papua New Guinea, in: Beyond Belief: Opportunities for Faith-engaged Approaches to Climate-change Adaptation in the Pacific Islands, edited by: Luetz, J., and Nunn, P., Springer Nature, Switzerland, 139–153, https://doi.org/10.1007/978-3-030-67602-5_8, 2021.
Mercer, J.: Disaster risk reduction or climate change adaptation: Are we
reinventing the wheel?, J. Int. Dev., 22, 247–264,
2010.
Molinari, D., De Bruijn, K. M., Castillo-Rodríguez, J. T., Aronica, G.
T., and Bouwer, L. M.: Validation of flood risk models: Current practice and
possible improvements, Int. J. Disast. Risk Re., 33, 441–448, https://doi.org/10.1016/j.ijdrr.2018.10.022, 2019.
Mosquera-Machado, S. and Dilley, M.: A comparison of selected global
disaster risk assessment results, Nat. Hazards, 48, 439–456,
https://doi.org/10.1007/s11069-008-9272-0, 2009.
Nagarajan, R. and Ganapuram, S.: Micro-Level Drought Vulnerability Assessment Using Standardised Precipitation Index, Standardised Water-Level Index, Remote Sensing and GIS, The Asian Conference on Remote Sensing (ACRS): Fostering Resilient Growth in Asia, 36, https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=552d4f6380d8d45325c3d8eeb103d38d654794fa (last access: 1 July 2021), 2015.
Nasrollahi, M., Khosravi, H., Moghaddamnia, A., Malekian, A., and Shahid,
S.: Assessment of drought risk index using drought hazard and vulnerability
indices, Arab. J. Geosci., 11, 606, https://doi.org/10.1007/s12517-018-3971-y, 2018.
Natera, G. P.: 1 km DEM with Districts, Spatial data and systems data (GIS) branch, Environment Information & Science Division, Department of Environment & Conservation, PNG Government [data set], https://png-data.sprep.org/resource/dem-2000 (last access: 10 March 2020), 2016.
National Aeronautics and Space Administration (NOAA): Global Precipitation Monitoring, National Aeronautics and Space Administration (NOAA)/National Weather Service, Centre for Weather and Climate Prediction [data set], https://www.cpc.ncep.noaa.gov/, last access: 3 May 2021.
National Statistical Office (NSO) [Papua New Guinea] and ICF: Papua New Guinea Demographic and Health Survey 2016-18, Port Moresby, Papua New Guinea, and Rockville, Maryland, USA, NSO and ICF, FR364 [data set], https://dhsprogram.com/pubs/pdf/FR364/FR364.pdf (last access: 13 May 2021), 2019.
Nicholls, N.: Atmospheric and Climatic Hazards: Improved Monitoring and
Prediction for Disaster Mitigation, Nat. Hazards, 23, 137–155, https://doi.org/10.1023/A:1011130223164, 2001.
Pacific Islands Forum Secretariat: 2015 Pacific Regional MDG Tracking
Report, Fiji, 1–166, ISBN 978-982-202-041-0, 2015.
Peskun, P. H.: Two-Tailed p-Values and Coherent Measures of Evidence,
Am. Stat., 74, 80–86, https://doi.org/10.1080/00031305.2018.1475304, 2020.
Pulwarty, R. S. and Sivakumar, M. V. K.: Information systems in a changing
climate: Early warnings and drought risk management, Weather and Climate
Extremes, 3, 14–21, https://doi.org/10.1016/j.wace.2014.03.005, 2014.
Rahmati, O., Panahi, M., Kalantari, Z., Soltani, E., Falah, F., Dayal, K.
S., Mohammadi, F., Deo, R. C., Tiefenbacher, J., and Tien Bui, D.:
Capability and robustness of novel hybridized models used for drought hazard
modeling in southeast Queensland, Australia, Sci. Total Environ., 718, 134656, https://doi.org/10.1016/j.scitotenv.2019.134656, 2020.
RIMES and Papua New Guinea National Weather Service: ENSO Impact Outlook:
Papua New Guinea 2017/2018 (La Niña), Papua New Guinea, https://reliefweb.int/report/papua-new-guinea/enso-impact-outlook-papua-new-guinea-20172018-la-ni (last access: 10 June 2021), 2017.
Safavi, H., Khoshoei Esfahani, M., and Zamani, A.: Integrated Index for
Assessment of Vulnerability to Drought, Case Study: Zayandehrood River
Basin, Iran, Water Resour. Manag., 28, 1671–1688,
https://doi.org/10.1007/s11269-014-0576-4, 2014.
Schmidt, E., Gilbert, R., Holtemeyer, B., and Mahrt, K.: Poverty analysis in
the lowlands of Papua New Guinea underscores climate vulnerability and need
for income flexibility, Aust. J. Agr. Resour. Ec., 65, 171–191, https://doi.org/10.1111/1467-8489.12404, 2021.
Sharafi, L., Zarafshani, K., Keshavarz, M., Azadi, H., and Van Passel, S.:
Drought risk assessment: Towards drought early warning system and
sustainable environment in western Iran, Ecol. Indic., 114, 106276,
https://doi.org/10.1016/j.ecolind.2020.106276, 2020.
Smith, I., Moise, A., Inape, K., Murphy, B., Colman, R., Power, S., and
Chung, C.: ENSO-Related Rainfall Changes over the New Guinea Region, J. Geophys. Res.-Atmos., 118, 10665–10675, https://doi.org/10.1002/jgrd.50818, 2013.
Sun, C., Choy, S., Chua, Z., Aitkenhead, I., and Kuleshov, Y.: GEOGRAPHIC INFORMATION SYSTEM FOR DROUGHT RISK MAPPING IN AUSTRALIA – DROUGHT RISK ANALYSER WEB APP, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIV-3/W1-2020, 139–144, https://doi.org/10.5194/isprs-archives-XLIV-3-W1-2020-139-2020, 2020.
Svoboda, M. and Fuchs, B.: Handbook of Drought Indicators and Indices, World Meteorological Organization (WMO) and Global Water Partnership (GWP), ISBN 9781315265551, 2016.
United Nations Development Programme (UNDP): Climate risk, vulnerability and risk assessment in the New Ireland province in Papua New Guinea, Antea Group, Belgium, Document ID: 2291483035, https://info.undp.org/docs/pdc/Documents/PNG/Report_Climate%20Risk%20Vulnerability%20Assessment_New%20Ireland.pdf (last access: 24 May 2021), 2017a.
United Nations Development Programme (UNDP): Climate risk, vulnerability and risk assessment in the Northern province in Papua New Guinea, Antea Group, Belgium, Document ID: 2291483031, https://info.undp.org/docs/pdc/Documents/PNG/Report_Climate%20Risk%20Vulnerability%20Assessment_Northern.pdf (last access: 24 May 2021), 2017b.
United Nations Development Programme (UNDP): Climate risk, vulnerability and risk assessment in the East Sepik province in Papua New Guinea, Antea Group, Belgium, Document ID: 2291483036, https://info.undp.org/docs/pdc/Documents/PNG/Report_Climate%20Risk%20Vulnerability%20Assessment_East%20Sepik.pdf (last access: 24 May 2021), 2017c.
Varotsos, C. A., Cracknell, A. P., and Efstathiou, M. N.: The global
signature of the El Niño/La Niña Southern Oscillation, Int.
J. Remote Sens., 39, 5965–5977, https://doi.org/10.1080/01431161.2018.1465617, 2018.
Whitfield, S., Beauchamp, E., Boyd, D. D., Burslem, D., Byg, A., Colledge,
F., Cutler, M. E. J., Didena, M., Dougill, A., Foody, G., Goodbold, J. A.,
Hazenbosch, M., Hirons, M., Speranza, C. I., Jew, E., Lacambra, C.,
Mkwambisi, D., Moges, A., Morel, A., Morris, R., Novo, P., Rueda, M., Smith,
H., Solan, M., Spencer, T., Thornton, A., Touza, J., and White, P. C. L.:
Exploring temporality in socio-ecological resilience through experiences of
the 2015–16 El Niño across the Tropics, Glob. Environ. Change,
55, 1-14, https://doi.org/10.1016/j.gloenvcha.2019.01.004, 2019.
Wilhelmi, O. V. and Wilhite, D. A.: Assessing Vulnerability to Agricultural
Drought: A Nebraska Case Study, Nat. Hazards, 25, 37–58, https://doi.org/10.1023/A:1013388814894, 2002.
Wilhite, D. A., Sivakumar, M. V. K., and Pulwarty, R.: Managing drought risk
in a changing climate: The role of national drought policy, Weather and
Climate Extremes, 3, 4–13, https://doi.org/10.1016/j.wace.2014.01.002, 2014.
World Food Programme: The Impact of Drought related to El Niño, Papua
New Guinea, https://reliefweb.int/report/papua-new-guinea/papua-new-guinea-impact-drought-related-el-ni-o-10-april-2019 (last access: 10 June 2021), 2019.
Wu, H. and Wilhite, D. A.: An Operational Agricultural Drought Risk
Assessment Model for Nebraska, USA, Nat. Hazards, 33, 1–21, https://doi.org/10.1023/B:NHAZ.0000034994.44357.75, 2004.
Zhao, J., Zhang, Q., Zhu, X., Shen, Z., and Yu, H.: Drought risk assessment
in China: Evaluation framework and influencing factors, Geography and
Sustainability, 3, 220–228, https://doi.org/10.1016/j.geosus.2020.06.005, 2020.
Short summary
A case study assessing drought risk in Papua New Guinea (PNG) provinces for retrospective years (2014–2020) was conducted to demonstrate the development and validate the application of a tailored and semi-dynamic drought risk assessment methodology. Hazard, vulnerability, and exposure indicators appropriate for monitoring drought in PNG provinces were selected. The risk assessment accurately indicated a strong drought event in 2015–2016 and a moderate event in 2019.
A case study assessing drought risk in Papua New Guinea (PNG) provinces for retrospective years...
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