Bias-corrected climate projections for South Asia from Coupled Model Intercomparison Project-6 DOI Creative Commons
Vimal Mishra, Udit Bhatia, Amar Deep Tiwari

et al.

Scientific Data, Journal Year: 2020, Volume and Issue: 7(1)

Published: Oct. 12, 2020

Abstract Climate change is likely to pose enormous challenges for agriculture, water resources, infrastructure, and livelihood of millions people living in South Asia. Here, we develop daily bias-corrected data precipitation, maximum minimum temperatures at 0.25 ° spatial resolution Asia (India, Pakistan, Bangladesh, Nepal, Bhutan, Sri Lanka) 18 river basins located the Indian sub-continent. The dataset developed using Empirical Quantile Mapping (EQM) historic (1951–2014) projected (2015–2100) climate four scenarios (SSP126, SSP245, SSP370, SSP585) output from 13 General Circulation Models (GCMs) Coupled Model Intercomparison Project-6 (CMIP6). was evaluated against observations both mean extremes temperatures. Bias corrected projections CMIP6-GCMs project a warmer (3–5 °C) wetter (13–30%) 21 st century. can be used impact assessment hydrologic sub-continental basins.

Language: Английский

The Relative Importance of Different Flood‐Generating Mechanisms Across Europe DOI
Wouter Berghuijs, Shaun Harrigan, Péter Molnár

et al.

Water Resources Research, Journal Year: 2019, Volume and Issue: 55(6), P. 4582 - 4593

Published: May 14, 2019

Abstract Inferring the mechanisms causing river flooding is key to understanding past, present, and future flood risk. However, a quantitative spatially distributed overview of that drive across Europe currently unavailable. In addition, studies classify catchments according their flood‐driving often identify single mechanism per location, although multiple typically contribute We introduce new method uses seasonality statistics estimate relative importance extreme precipitation, soil moisture excess, snowmelt as drivers. Applying this European data set maximum annual flow dates in several thousand reveals from 1960 2010 relatively few floods were caused by rainfall peaks. Instead, most concurrence heavy precipitation with high antecedent moisture. For catchments, these has not substantially changed during past five decades. Exposing regional underlying Europe's costly natural hazard first step identifying processes require attention research.

Language: Английский

Citations

309
Disaster risk, climate change, and poverty: assessing the global exposure of poor people to floods and droughts DOI Open Access
Hessel Winsemius, Brenden Jongman, Ted Veldkamp

et al.

Environment and Development Economics, Journal Year: 2018, Volume and Issue: 23(3), P. 328 - 348

Published: March 2, 2018

Abstract People living in poverty are particularly vulnerable to shocks, including those caused by natural disasters such as floods and droughts. This paper analyses household survey data hydrological riverine flood drought for 52 countries find out whether poor people disproportionally exposed droughts, how this exposure may change a future climate. We that often droughts floods, urban areas. pattern does not significantly under climate scenarios, although the absolute number of potentially or can increase decrease significantly, depending on scenario region. In particular, many Africa show high For these hotspots, implementing risk-sensitive land-use development policies protect should be priority.

Language: Английский

Citations

294
Inequitable patterns of US flood risk in the Anthropocene DOI Creative Commons
Oliver Wing, William Lehman, Paul Bates

et al.

Nature Climate Change, Journal Year: 2022, Volume and Issue: 12(2), P. 156 - 162

Published: Jan. 31, 2022

Abstract Current flood risk mapping, relying on historical observations, fails to account for increasing threat under climate change. Incorporating recent developments in inundation modelling, here we show a 26.4% (24.1–29.1%) increase US by 2050 due change alone RCP4.5. Our national depiction of comprehensive and high-resolution estimates the United States indicates current average annual losses US$32.1 billion (US$30.5–33.8 billion) 2020’s climate, which are borne disproportionately poorer communities with proportionally larger White population. The future will impact Black communities, while remaining concentrated Atlantic Gulf coasts. Furthermore, projected population (SSP2) could cause increases that outweigh fourfold. These results make clear need adaptation emergent risks States, mitigation required prevent acceleration these risks.

Language: Английский

Citations

286
Climatic and socioeconomic controls of future coastal flood risk in Europe DOI
Michalis Vousdoukas, Lorenzo Mentaschi, Evangelos Voukouvalas

et al.

Nature Climate Change, Journal Year: 2018, Volume and Issue: 8(9), P. 776 - 780

Published: Aug. 10, 2018

Language: Английский

Citations

282
Bias-corrected climate projections for South Asia from Coupled Model Intercomparison Project-6 DOI Creative Commons
Vimal Mishra, Udit Bhatia, Amar Deep Tiwari

et al.

Scientific Data, Journal Year: 2020, Volume and Issue: 7(1)

Published: Oct. 12, 2020

Abstract Climate change is likely to pose enormous challenges for agriculture, water resources, infrastructure, and livelihood of millions people living in South Asia. Here, we develop daily bias-corrected data precipitation, maximum minimum temperatures at 0.25 ° spatial resolution Asia (India, Pakistan, Bangladesh, Nepal, Bhutan, Sri Lanka) 18 river basins located the Indian sub-continent. The dataset developed using Empirical Quantile Mapping (EQM) historic (1951–2014) projected (2015–2100) climate four scenarios (SSP126, SSP245, SSP370, SSP585) output from 13 General Circulation Models (GCMs) Coupled Model Intercomparison Project-6 (CMIP6). was evaluated against observations both mean extremes temperatures. Bias corrected projections CMIP6-GCMs project a warmer (3–5 °C) wetter (13–30%) 21 st century. can be used impact assessment hydrologic sub-continental basins.

Language: Английский

Citations

280