Water budget-based evapotranspiration product captures natural and human-caused variability

Dados Bibliográficos

ID15544844
AutoresShubham Goswami (0000-0002-8118-2453, Indian Institute of Science Bangalore), Chirag Rajendra Ternikar (0000-0002-5977-3396, Indian Institute of Science Bangalore), Rajsekhar Kandala (Indian Institute of Science Bangalore), Netra S Pillai (Indian Institute of Science Bangalore), Vivek Kumar Yadav (0000-0001-8347-2609, Indian Institute of Science Bangalore), Abhishek Abhishek (0000-0002-1704-4486, Indian Institute of Technology Roorkee), Jisha Joseph (Potsdam Institute for Climate Impact Research), Subimal Ghosh (0000-0002-5722-1440, Indian Institute of Technology Bombay), Bramha Dutt Vishwakarma (0000-0003-4787-8470, Indian Institute of Science Bangalore, autor correspondente)
Ano2024
Volume19
Fascículo9
Páginas094034-094034
Data de publicação2024-07-16
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoEnvironmental Research Letters (JOURNAL)
Identificadores do periódicoISSN: 1748-9326 • E-ISSN: 1748-9326
EditoraIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ad63bd
OpenAlexW4400673002
IdiomaEN
Citações recebidas1
Referências citadas88

Evapotranspiration ( ET ) is one of the most important yet highly uncertain components of the water cycle. Available modeled ET products do not necessarily agree with each other at various spatiotemporal scales, either due to limitations on input data and/or due to model assumptions and simplifications. Therefore, using the water budget equation to estimate ET has gained attention. However, numerous water budget combinations with large uncertainties are available, which increases ambiguity in choosing the best ET estimate. Here, the Kalman filter is employed to ingest 96 water budget-based ET estimates, and produce a global ET product with uncertainty < 2 mm month −1 , and capture the general spatiotemporal pattern of ET and the inter-annual variability over all continents. Since the water budget includes storage changes due to human interventions, our ET estimates are superior over regions with strong irrigation signals, such as the Ganges basin. We verify our claim by using a modified variable infiltration capacity model that also simulates irrigation activities. Our ET estimates have a global mean positive trend of 0.18 ± 0.02 mm yr −1 with larger regional variations, which we discuss

Climatology · Econometrics · Energy budget · Evapotranspiration · Geography · Hydrology (agriculture · Infiltration (HVAC · Meteorology · Variable (mathematics · Water cycle · Water use · Environmental Science · Groundwater flow and contamination studies · Hydrology and Watershed Management Studies · Mathematics · Water resources management and optimization · Ecology · Geology