Cited by An improvement in accuracy and spatiotemporal continuity of the MODIS precipitable water vapor product based on a data fusion approach

Climate change threatens terrestrial water storage over the Tibetan Plateau DOI

Xueying Li, Di Long, Bridget R. Scanlon

et al.

Nature Climate Change, Journal Year: 2022, Volume and Issue: 12(9), P. 801 - 807

Published: Aug. 15, 2022

Language: Английский

Citations

243

Reconstruction of GRACE Data on Changes in Total Water Storage Over the Global Land Surface and 60 Basins DOI

Zhangli Sun, Di Long, Wenting Yang

et al.

Water Resources Research, Journal Year: 2020, Volume and Issue: 56(4)

Published: March 20, 2020

Abstract Launched in May 2018, the Gravity Recovery and Climate Experiment Follow‐On mission (GRACE‐FO)—the successor of erstwhile GRACE mission—monitors changes total water storage, which is a critical state variable regional global hydrologic cycles. However, gap between data two missions breaking continuity observations limiting its further application. In this study, we used three learning‐based models, that is, deep neural network, multiple linear regression (MLR), seasonal autoregressive integrated moving average with exogenous variables, six solutions (i.e., Jet Propulsion Laboratory spherical harmonics (JPL‐SH), Center for Space Research SH (CSR‐SH), GeoforschungsZentrum Potsdam (GFZ‐SH), JPL mass concentration blocks (mascons) (JPL‐M), CSR mascons (CSR‐M), Goddard Flight (GSFC‐M)) to reconstruct missing monthly at grid cell scale. Evaluation showed models were reliable reconstruction areas humid no/low human interventions. The network slightly outperformed variables significantly most 60 basins studied. mascon sets performed better than basin similar performance, but varied markedly some basins. Results study are expected provide reference bridging gaps GRACE‐FO satellites selecting suitable studies.

Language: Английский

Citations

197

RETRACTED ARTICLE: A 10 per cent increase in global land evapotranspiration from 2003 to 2019 DOI

Madeleine Pascolini‐Campbell, J. T. Reager, Hrishikesh A. Chandanpurkar

et al.

Nature, Journal Year: 2021, Volume and Issue: 593(7860), P. 543 - 547

Published: May 26, 2021

Language: Английский

Citations

178

Long-term monitoring of evapotranspiration using the SEBAL algorithm and Google Earth Engine cloud computing DOI

Leonardo Laipelt,

Rafael Henrique Bloedow Kayser,

Ayan Santos Fleischmann

et al.

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2021, Volume and Issue: 178, P. 81 - 96

Published: June 17, 2021

Language: Английский

Citations

144

Improving LSTM hydrological modeling with spatiotemporal deep learning and multi-task learning: A case study of three mountainous areas on the Tibetan Plateau DOI

Bu Li,

Ruidong Li, Ting Sun

et al.

Journal of Hydrology, Journal Year: 2023, Volume and Issue: 620, P. 129401 - 129401

Published: March 15, 2023

Language: Английский

Citations

Water-balance-based evapotranspiration for 56 large river basins: A benchmarking dataset for global terrestrial evapotranspiration modeling DOI

Ning Ma, Yongqiang Zhang, József Szilágyi

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 630, P. 130607 - 130607

Published: Jan. 5, 2024

Language: Английский

Citations

How much water vapour does the Tibetan Plateau release into the atmosphere? DOI

Chaolei Zheng, Jia Li, Guangcheng Hu

et al.

Hydrology and earth system sciences, Journal Year: 2025, Volume and Issue: 29(2), P. 485 - 506

Published: Jan. 23, 2025

Abstract. Water vapour flux, expressed as evapotranspiration (ET), is critical for understanding the earth climate system and complex heat–water exchange mechanisms between land surface atmosphere in high-altitude Tibetan Plateau (TP) region. However, performance of ET products over TP has not been adequately assessed, there still considerable uncertainty magnitude spatial variability water released from into atmosphere. In this study, we evaluated 22 against situ observations basin-scale balance estimations. This study also spatiotemporal total flux its components to clarify TP. The results showed that remote sensing high-resolution global data ETMonitor PMLV2 had a high accuracy, with overall better accuracy than other regional fine resolution (∼ 1 km), when comparing observations. When compared estimates at basin scale, finer GLEAM TerraClimate coarse good agreement. Different different patterns variability, large differences central western multi-year multi-product mean was 333.1 mm yr−1, standard deviation 38.3 yr−1. (i.e. plant transpiration, soil evaporation, canopy rainfall interception open-water snow/ice sublimation) available some were compared, contribution these varied considerably, even cases where similar. Soil evaporation accounts most TP, followed by transpiration while contributions sublimation cannot be negligible.

Language: Английский

Citations

Rapid glacier mass loss in the Southeastern Tibetan Plateau since the year 2000 from satellite observations DOI

Fanyu Zhao, Di Long, Xingdong Li

et al.

Remote Sensing of Environment, Journal Year: 2021, Volume and Issue: 270, P. 112853 - 112853

Published: Dec. 28, 2021

Language: Английский

Citations

100

The role of climate change and vegetation greening on the variation of terrestrial evapotranspiration in northwest China's Qilian Mountains DOI

Linshan Yang, Qi Feng, Jan Adamowski

et al.

The Science of The Total Environment, Journal Year: 2020, Volume and Issue: 759, P. 143532 - 143532

Published: Nov. 16, 2020

Language: Английский

Citations

A comprehensive assessment of water storage dynamics and hydroclimatic extremes in the Chao Phraya River Basin during 2002–2020 DOI

Abhishek Abhishek, Tsuyoshi Kinouchi, Takahiro Sayama

et al.

Journal of Hydrology, Journal Year: 2021, Volume and Issue: 603, P. 126868 - 126868

Published: Aug. 28, 2021

Language: Английский

Citations