Spatiotemporal variations in the ratio of transpiration to evapotranspiration and its controlling factors across terrestrial biomes DOI

Ruochen Cao,

Hui Huang,

Genan Wu

et al.

Agricultural and Forest Meteorology, Journal Year: 2022, Volume and Issue: 321, P. 108984 - 108984

Published: May 7, 2022

Language: Английский

Rapid intensification of the emerging southwestern North American megadrought in 2020–2021 DOI
Park Williams,

Benjamin I. Cook,

Jason E. Smerdon

et al.

Nature Climate Change, Journal Year: 2022, Volume and Issue: 12(3), P. 232 - 234

Published: Feb. 14, 2022

Language: Английский

Citations

495

Satellite Remote Sensing of Global Land Surface Temperature: Definition, Methods, Products, and Applications DOI Creative Commons
Zhao‐Liang Li, Hua Wu, Si‐Bo Duan

et al.

Reviews of Geophysics, Journal Year: 2022, Volume and Issue: 61(1)

Published: Dec. 24, 2022

Abstract Land surface temperature (LST) is a crucial parameter that reflects land–atmosphere interaction and has thus attracted wide interest from geoscientists. Owing to the rapid development of Earth observation technologies, remotely sensed LST playing an increasingly essential role in various fields. This review aims summarize progress estimation algorithms accelerate its further applications. Thus, we briefly most‐used thermal infrared (TIR) algorithms. More importantly, this provides comprehensive collection widely used TIR‐based products offers important insights into uncertainties these with respect different land cover conditions via systematic intercomparison analysis several representative products. In addition discussion on product accuracy, address problems related spatial discontinuity, spatiotemporal incomparability, short time span current by introducing most effective methods. With aim overcoming challenges available products, much been made developing seamless data, which significantly promotes successful applications field evapotranspiration soil moisture estimation, agriculture drought monitoring, environment anomaly climate change. Overall, encompasses recent advances state‐of‐the‐art at temporal scales, identifies critical research needs directions advance optimize retrieval methods, application improve understanding dynamics exchanges.

Language: Английский

Citations

317

Satellites reveal widespread decline in global lake water storage DOI Open Access
Fangfang Yao, Ben Livneh, Balaji Rajagopalan

et al.

Science, Journal Year: 2023, Volume and Issue: 380(6646), P. 743 - 749

Published: May 18, 2023

Climate change and human activities increasingly threaten lakes that store 87% of Earth’s liquid surface fresh water. Yet, recent trends drivers lake volume remain largely unknown globally. Here, we analyze the 1972 largest global using three decades satellite observations, climate data, hydrologic models, finding statistically significant storage declines for 53% these water bodies over period 1992–2020. The net loss in natural is attributable to warming, increasing evaporative demand, consumption, whereas sedimentation dominates losses reservoirs. We estimate roughly one-quarter world’s population resides a basin drying lake, underscoring necessity incorporating impacts into sustainable resources management.

Language: Английский

Citations

244

Increasing sensitivity of dryland vegetation greenness to precipitation due to rising atmospheric CO2 DOI Creative Commons
Yao Zhang, Pierre Gentine, Xiangzhong Luo

et al.

Nature Communications, Journal Year: 2022, Volume and Issue: 13(1)

Published: Aug. 19, 2022

Water availability plays a critical role in shaping terrestrial ecosystems, particularly low- and mid-latitude regions. The sensitivity of vegetation growth to precipitation strongly regulates global dynamics their responses drought, yet changes response climate change remain poorly understood. Here we use long-term satellite observations combined with dynamic statistical learning approach examine the greenness over past four decades. We observe robust increase (0.624% yr−1) for drylands, decrease (−0.618% wet Using model simulations, show that contrasting trends between dry regions are caused by elevated atmospheric CO2 (eCO2). eCO2 universally decreases reducing leaf-level transpiration, However, this transpiration reduction is overridden at canopy scale large proportional leaf area. increased drylands implies potential ecosystem stability greater impacts droughts these vulnerable ecosystems under continued change. Changes may be hydroclimate dependent. authors reveal vs. wetter last 4 decades identify as major contributing factor.

Language: Английский

Citations

192

Global drought trends and future projections DOI Creative Commons
Sergio M. Vicente‐Serrano, Dhais Peña‐Angulo, Santiago Beguerı́a

et al.

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, Journal Year: 2022, Volume and Issue: 380(2238)

Published: Oct. 23, 2022

Drought is one of the most difficult natural hazards to quantify and divided into categories (meteorological, agricultural, ecological hydrological), which makes assessing recent changes future scenarios extremely difficult. This opinion piece includes a review scientific literature on topic analyses trends in meteorological droughts by using long-term precipitation records different drought metrics evaluate role global warming processes hydrological severity over last four decades, during sharp increase atmospheric evaporative demand (AED) has been recorded. Meteorological do not show any substantial at scale least 120 years, but an agricultural seems emerge as consequence AED. Lastly, this study evaluates projections from earth system models focuses important aspects that need be considered when evaluating changing climate, such use uncertainty modelling approaches. article part Royal Society Science+ meeting issue ‘Drought risk Anthropocene’.

Language: Английский

Citations

188

The role of climate change and vegetation greening on evapotranspiration variation in the Yellow River Basin, China DOI
Fubo Zhao, Shuai Ma, Yiping Wu

et al.

Agricultural and Forest Meteorology, Journal Year: 2022, Volume and Issue: 316, P. 108842 - 108842

Published: Jan. 28, 2022

Language: Английский

Citations

107

Quantifying global agricultural water appropriation with data derived from earth observations DOI

Bingfang Wu,

Fuyou Tian, Miao Zhang

et al.

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 358, P. 131891 - 131891

Published: May 2, 2022

Language: Английский

Citations

91

Diminishing storage returns of reservoir construction DOI Creative Commons
Yao Li, Gang Zhao, George H. Allen

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: June 13, 2023

Surface water reservoirs are increasingly being relied upon to meet rising demands in the context of growing population and changing climate. However, amount available (and corresponding trends) have not been well quantified at global scale. Here we use satellite observations estimate storage variations 7245 from 1999 2018. Total reservoir has increased a rate 27.82 ± 0.08 km3/yr, which is mainly attributed construction new dams. normalized (NS)-the ratio actual capacity-has declined by 0.82 0.01%. The decline NS values especially pronounced south, while north exhibits an increase. With predicted decreasing runoff increasing demand, these observed diminishing returns will likely persist into future.

Language: Английский

Citations

53

Recent increase in the observation-derived land evapotranspiration due to global warming DOI Creative Commons
Ren Wang, Longhui Li, Pierre Gentine

et al.

Environmental Research Letters, Journal Year: 2021, Volume and Issue: 17(2), P. 024020 - 024020

Published: Dec. 13, 2021

Abstract Estimates of change in global land evapotranspiration (ET) are necessary for understanding the terrestrial hydrological cycle under changing environments. However, large uncertainties still exist our estimates, mostly related to upscaling situ observations scale non-stationary surface conditions. Here, we use machine learning models, artificial neural network and random forest informed by ground atmospheric boundary layer theory, retrieve consistent long-term latent heat flux (ET energy units) sensible over recent decades. This study demonstrates that ET has increased significantly main driver is increasing temperature. Moreover, results suggest humid regions such as tropics. These observation-driven findings with idea would increase climate warming. Our important implications providing constraints water cycles

Language: Английский

Citations

78

Spatial-temporal variations of terrestrial evapotranspiration across China from 2000 to 2019 DOI Creative Commons
Jing Fu,

Yueqi Gong,

Wenwu Zheng

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 825, P. 153951 - 153951

Published: Feb. 19, 2022

Terrestrial evapotranspiration (ET) refers to a key process in the hydrological cycle by which water is transferred from Earth's surface lower atmosphere. With spatiotemporal variations, ET plays crucial role global ecosystem and affects vegetation distribution productivity, climate, resources. China features complex, diverse natural environment, leading high heterogeneity climatic variables. However, past future trends remain largely unexplored. Thus, using MOD16 products meteorological datasets, this study examined variations of 2000 2019 analyzed what behind changes, explored trends. Climate variation was statistically significant had remarkable impact on ET. Average annual increased at rate 5.3746 mm yr-1 (P < 0.01) during period. The main drivers trend are increasing precipitation wind speed. increase can also be explained some extent temperature, decreasing sunshine duration relative humidity. zonation results show that speed, decrease humidity large positive effects growth, either promoting or inhibiting different agricultural regions. Pixel-based exhibited an overall obvious spatial volatility. Hurst exponent indicates characterized anti-persistence, with widely distributed areas expected experience decline These findings improve understanding climate variability processes, question will ultimately affect system.

Language: Английский

Citations

65