https://doi.org/10.5194/hess-29-485-2025-supplement

Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations (http://glass.umd.edu/ET/MODIS/1km/) Y. Yao et al. https://doi.org/10.1002/2013JD020864

The modern-era retrospective analysis for research and applications, version 2 (MERRA-2) (https://doi.org/10.5067/RKPHT8KC1Y1T) R. Gelaro et al. https://doi.org/10.1175/JCLI-D-16-0758.1

Global GRACE Data Assimilation for Groundwater and Drought Monitoring: Advances and Challenges (https://doi.org/10.5067/TXBMLX370XX8) B. Li et al. https://doi.org/10.1029/2018WR024618

Improvements to a MODIS global terrestrial evapotranspiration algorithm (https://doi.org/10.5067/MODIS/MOD16A2.061) Q. Mu et al. https://doi.org/10.1016/j.rse.2011.02.019

The FLUXCOM ensemble of global land-atmosphere energy fluxes (https://doi.org/10.17871/FLUXCOM_EnergyFluxes_v1 and https://doi.org/10.17871/FLUXCOM_RS_METEO_CRUNCEPv6_1980_2013_v1) M. Jung et al. https://doi.org/10.1038/s41597-019-0076-8

The ERA5 global reanalysis (https://doi.org/10.24381/cds.adbb2d47) H. Hersbach https://doi.org/10.1002/qj.3803

ERA5-Land: a state-of-the-art global reanalysis dataset for land applications (https://doi.org/10.24381/cds.e2161bac) J. Muñoz-Sabater et al. https://doi.org/10.5194/essd-13-4349-2021

TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958-2015 (https://doi.org/10.7923/G43J3B0R) J. T. Abatzoglou et al. https://doi.org/10.1038/sdata.2017.191

BESSv2.0: A satellite-based and coupled-process model for quantifying long-term global land-atmosphere fluxes (https://www.environment.snu.ac.kr/bessv2) B. Li et al. https://doi.org/10.1016/j.rse.2023.113696

FLUXNET-CH4 CN-Hgu Hongyuan S. Niu and W. Chen https://doi.org/10.18140/FLX/1669632

Seasonal patterns of gross primary production and ecosystem respiration in an alpine meadow ecosystem on the Qinghai-Tibetan Plateau (https://doi.org/10.18140/FLX/1440211) T. Kato et al. https://doi.org/10.1029/2003JD003951

The Global Land Data Assimilation System (https://doi.org/10.5067/SXAVCZFAQLNO and https://doi.org/10.5067/ZOG6BCSE26HV) M. Rodell et al. https://doi.org/10.1175/BAMS-85-3-381

Synthesis of global actual evapotranspiration from 1982 to 2019 (https://doi.org/10.7910/DVN/ZGOUED) A. Elnashar et al. https://doi.org/10.5194/essd-13-447-2021

Overview of ChinaFLUX and evaluation of its eddy covariance measurement (https://doi.org/10.12199/nesdc.ecodb.chinaflux2003-2010.2021.dxg.005 and https://doi.org/10.12199/nesdc.ecodb.chinaflux2003-2010.2021.hbg.006) G. R. Yu et al. https://doi.org/10.1016/j.agrformet.2006.02.011

A long-term (2005-2016) dataset of hourly integrated land-atmosphere interaction observations on the Tibetan Plateau (https://doi.org/10.11888/Meteoro.tpdc.270910) Y. Ma et al. https://doi.org/10.5194/essd-12-2937-2020

TPHiPr: a long-term (1979-2020) high-accuracy precipitation dataset (1/30°, daily) for the Third Pole region based on high-resolution atmospheric modeling and dense observations (https://doi.org/10.11888/Atmos.tpdc.272763) Y. Jiang et al. https://doi.org/10.5194/essd-15-621-2023

Global land surface evapotranspiration monitoring by ETMonitor model driven by multi-source satellite earth observations (https://doi.org/10.12237/casearth.640f012a819aec3 f2b52a4b6) C. Zheng et al. https://doi.org/10.1016/j.jhydrol.2022.128444

An Enhanced MOD16 Evapotranspiration Model for the Tibetan Plateau During the Unfrozen Season (https://doi.org/10.11888/Hydro.tpdc.271236) L. Yuan et al. https://doi.org/10.1029/2020JD032787

Remote Sensing of Global Daily Evapotranspiration based on a Surface Energy Balance Method and Reanalysis Data (https://data.tpdc.ac.cn/zh-hans/data/df4005fb-9449-4760-8e8a-09727df9fe36) X. Chen et al. https://doi.org/10.1029/2020JD032873

Calibration-Free Complementary Relationship Estimates Terrestrial Evapotranspiration Globally (https://doi.org/10.6084/m9.figshare.13634552) N. Ma et al. https://doi.org/10.1029/2021WR029691

Coupled estimation of 500 m and 8-day resolution global evapotranspiration and gross primary production in 2002-2017 (https://doi.org/10.11888/Geogra.tpdc.270251) Y. Zhang et al. https://doi.org/10.1016/j.rse.2018.12.031

Increasing Tibetan Plateau terrestrial evapotranspiration primarily driven by precipitation (https://doi.org/10.12072/ncdc.Eco-Hydro.db1676.2022) N. Ma and Y. Zhang https://doi.org/10.1016/j.agrformet.2022.108887

Operational global actual evapotranspiration: Development, evaluation, and dissemination (https://doi.org/10.5066/P9L2YMV) G. B. Senay et al. https://doi.org/10.3390/s20071915