Reanalysis datasets outperform other gridded climate products in vegetation change analysis in peripheral conservation areas of Central Asia DOI Creative Commons
Harald Zandler,

Thomas Senftl,

Kim André Vanselow

et al.

Scientific Reports, Journal Year: 2020, Volume and Issue: 10(1)

Published: Dec. 31, 2020

Global environmental research requires long-term climate data. Yet, meteorological infrastructure is missing in the vast majority of world's protected areas. Therefore, gridded products are frequently used as only available data source peripheral regions. However, associated evaluations commonly biased towards well observed areas and consequently, station-based datasets. As on vegetation monitoring abilities lacking for regions with poor availability, we analyzed potential several state-of-the-art datasets (CHIRPS, CRU, ERA5-Land, GPCC-Monitoring-Product, IMERG-GPM, MERRA-2, MODIS-MOD10A1) assessing NDVI anomalies (MODIS-MOD13Q1) two particularly suitable remote conservation We calculated 156 variables seasonal periods during 2001-2018, correlated these while taking multiple comparison problem into consideration, computed their spatial performance to derive parameters. Our results showed that four (MERRA-2, MOD10A1, CRU) were analysis both regions, by showing significant correlations controlled at a false discovery rate < 5% more than half Cross-validated variable selection importance assessment based Boruta algorithm indicated high reanalysis ERA5-Land MERRA-2 but higher differences variability between all other products. CHIRPS, GPCC bias-corrected version unsuitable not important provide evidence most spatiotemporally consistent whereas gauge- or satellite-based combinations highly may be applicable

Language: Английский

The Pakistan Flood of August 2022: Causes and Implications DOI Creative Commons

J. S. Nanditha,

Anuj Prakash Kushwaha, Raj Pal Singh

et al.

Earth s Future, Journal Year: 2023, Volume and Issue: 11(3)

Published: March 1, 2023

Abstract The risk of floods has increased in South Asia due to high vulnerability and exposure. August 2022 Pakistan flood shows a glimpse the enormity devastation that can further rise under warming climate. deluge caused by 2022, which badly hit country’s southern provinces, is incomparable any recent events terms vast spatial temporal scale. event ranked second human mortality, while this was top displaced about 33 million people Pakistan. Using observations climate projections, we examine causes implications Multiday (∼15 days) extreme precipitation on wet antecedent soil moisture conditions primary driver 2022. two atmospheric rivers passed over Streamflow simulations from multiple hydrological models show multiday floods. Several flood‐affected stations experienced anomalously higher flow than upstream stations. highlights adaptation challenges facing along with substantial need for mitigation reduce such events.

Language: Английский

Citations

147
In-situ and triple-collocation based evaluations of eight global root zone soil moisture products DOI
Lei Xu, Nengcheng Chen, Xiang Zhang

et al.

Remote Sensing of Environment, Journal Year: 2020, Volume and Issue: 254, P. 112248 - 112248

Published: Dec. 16, 2020

Language: Английский

Citations

139
A warming-induced reduction in snow fraction amplifies rainfall extremes DOI
Mohammed Ombadi, Mark D. Risser, Alan M. Rhoades

et al.

Nature, Journal Year: 2023, Volume and Issue: 619(7969), P. 305 - 310

Published: June 28, 2023

Language: Английский

Citations

127
Over 60% precipitation transformed into terrestrial water storage in global river basins from 2002 to 2021 DOI Creative Commons
Yulong Zhong, Baoming Tian, Hyunglok Kim

et al.

Communications Earth & Environment, Journal Year: 2025, Volume and Issue: 6(1)

Published: Jan. 27, 2025

Language: Английский

Citations

7
Future exacerbation of hot and dry summer monsoon extremes in India DOI Creative Commons
Vimal Mishra, Kaustubh Thirumalai, Deepti Singh

et al.

npj Climate and Atmospheric Science, Journal Year: 2020, Volume and Issue: 3(1)

Published: March 23, 2020

Abstract Summer monsoon (June-September) precipitation is crucial for agricultural activities in India. Extremes during the season can have deleterious effects on water availability and agriculture region. Here, we show that hot dry extremes summer significantly impact food production India find they tend to occur El Niño years observed record of 1951–2018. We then use an ensemble climate simulations historic (1971–2000) future (2006–2100) capture this coupling between Indian frequency concurrent increases by a factor 1.5 under continued greenhouse warming 21st century. Despite projections intensification order ~10%, rise surface air temperatures as well increase rainfall variability contributes more severe over India, thereby posing substantial challenge security

Language: Английский

Citations

112
Dominance of summer monsoon flash droughts in India DOI Creative Commons
Shanti Shwarup Mahto, Vimal Mishra

Environmental Research Letters, Journal Year: 2020, Volume and Issue: 15(10), P. 104061 - 104061

Published: Aug. 13, 2020

Flash droughts intensify rapidly after onset and cause short-term but devastating impacts on agriculture the ecosystem. However, drivers characteristics of flash in India have not been examined. Here we use a well-calibrated evaluated variable infiltration capacity (VIC) hydrological model to simulate root-zone soil moisture identify for 1951–2018 period. We show that predominantly occur during monsoon (June September) India. More than 80% country-level occurred season Similarly, four out six homogeneous precipitation regions experienced more non-monsoon season. The Himalayan Peninsular experience primarily due caused by western disturbance northeast monsoon. Long dry spell with significant negative anomalies positive air temperature deplete causing droughts. major 1979, 2001, 1958, 1986. About 10%–15% rice (Oryza sativa) maize (Zea mays) grown area each year is affected can directly affect crop production indirectly pose challenges meeting increased irrigation water demands.

Language: Английский

Citations

96
A Comparison of Moderate and Extreme ERA‐5 Daily Precipitation With Two Observational Data Sets DOI Creative Commons
Pauline Rivoire, Olivia Martius, Philippe Naveau

et al.

Earth and Space Science, Journal Year: 2021, Volume and Issue: 8(4)

Published: April 1, 2021

Abstract A comparison of moderate to extreme daily precipitation from the ERA‐5 reanalysis by European Centre for Medium‐Range Weather Forecasts against two observational gridded data sets, EOBS and CMORPH, is presented. We assess co‐occurrence days compare full distributions. The quantified hit rate. An extended generalized Pareto distribution (EGPD) fitted positive at every grid point confidence intervals quantiles compared. Kullback–Leibler divergence used quantify distance between entire EGPDs obtained observations. For exceeding local 90th percentile, mean rate 65% (over Europe) 60% CMORPH (globally). Generally, we find a decrease with increasing intensity. agreement weaker over southern Mediterranean region Iceland compared rest Europe. Differences are smallest oceans. largest NW America, Central Asia, land areas 15°S 15°N. on overlapping sets more than 80% points average. intensity comparisons indicate an excellent Germany, Ireland, Sweden, Finland, disagreement where uses sparse input stations. agree well midlatitudes disagree tropics.

Language: Английский

Citations

88
Characteristics of extreme rainfall in different gridded datasets over India during 1983–2015 DOI
Suman Bhattacharyya, S. Sreekesh, Andrew D. King

et al.

Atmospheric Research, Journal Year: 2021, Volume and Issue: 267, P. 105930 - 105930

Published: Nov. 18, 2021

Language: Английский

Citations

85
Heat wave trends in Southeast Asia during 1979–2018: The impact of humidity DOI
Xian‐Xiang Li

The Science of The Total Environment, Journal Year: 2020, Volume and Issue: 721, P. 137664 - 137664

Published: March 9, 2020

Language: Английский

Citations

83
Increased Drought Risk in South Asia under Warming Climate: Implications of Uncertainty in Potential Evapotranspiration Estimates DOI Open Access
Saran Aadhar, Vimal Mishra

Journal of Hydrometeorology, Journal Year: 2020, Volume and Issue: 21(12), P. 2979 - 2996

Published: March 19, 2020

Abstract Observed and projected changes in potential evapotranspiration (PET) drought are not well constrained South Asia. Using five PET estimates [Thornthwaite (PET-TH), Hargreaves–Samani (PET-HS), Penman–Monteith (PET-PM), modified (PET-MPM), energy (PET-EN)] for the observed (1979–2018, from ERA5) future warming climate, we show that significant has occurred Asia during 1979–2018. considerable uncertainty depending on method used. For instance, PET-TH increased significantly while all other four methods a decline majority of period The increase is substantially higher than PET-HS, PET-PM, PET-MPM due to (3–4 times) sensitivity period. Under 1.5°, 2.0°, 2.5°C worlds, global climate models phase 5 Coupled Model Intercomparison Project (CMIP5 GCMs) project increases frequency over regions. Drought based PET-EN consistent with soil moisture–based substantial severe droughts under In addition, PET-TH, which an outlier, about times PET-MPM. Methods estimate contribute most overall projections Asia, primarily PET-TH. reliable climate. Therefore, should be either PET-EN/PET-MPM or moisture.

Language: Английский

Citations

72