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Long-term global evapotranspiration from remote sensing

Long-term global evapotranspiration from remote sensing
Long-term global evapotranspiration from remote sensing
Deriving overland evapotranspiration (ET) estimates is an important part of the larger effort to develop long-term Earth System Data Records (ESDRs) for the major components (storages and fluxes) of the terrestrial water cycle. In the current study, global estimates of sensible heat and evaporative fluxes are developed for 1984-2006 using three process-based models forced by two remote sensing based data sets. The models are surface energy balance system (SEBS), a modified Penman-Monteith approach, and a Priestley-Taylor approach. The models are driven by radiation inputs from the ISCCP and SRB data sets, with the meteorological forcing data from ISCCP, and vegetation characteristics from AVHRR. Estimates are made using the three models. Comparisons among the data sets show large differences in magnitude and long-term variability, due mainly to uncertainties in the forcing radiation. Comparisons with independent data sets from inferred evaporation estimates [(P-Q)climatology], off-line land surface model (VIC) data, previously developed remote sensing products and estimates derived from tower data, reveals consistency at large scales, but large differences in some regions, most notably in the northern hemisphere.
Evapotranspiration, Land Flux, Latent heat flux, Penman-Monteith, Priestley-Taylor, Sensible heat flux, Surface energy balance
0144-7815
76-79
Vinukollu, Raghuveer K.
8ff428ba-17eb-4318-9a82-3ed70df6d013
Sahoo, Alok
ac3309f9-a1aa-4b13-abef-e5bd9080d8ea
Sheffield, Justin
dd66575b-a4dc-4190-ad95-df2d6aaaaa6b
Wood, Eric F.
8352c1b4-4fd3-42fe-bd23-46619024f1cf
Vinukollu, Raghuveer K.
8ff428ba-17eb-4318-9a82-3ed70df6d013
Sahoo, Alok
ac3309f9-a1aa-4b13-abef-e5bd9080d8ea
Sheffield, Justin
dd66575b-a4dc-4190-ad95-df2d6aaaaa6b
Wood, Eric F.
8352c1b4-4fd3-42fe-bd23-46619024f1cf

Vinukollu, Raghuveer K., Sahoo, Alok, Sheffield, Justin and Wood, Eric F. (2012) Long-term global evapotranspiration from remote sensing. In Remote Sensing and Hydrology. vol. 352, pp. 76-79 .

Record type: Conference or Workshop Item (Paper)

Abstract

Deriving overland evapotranspiration (ET) estimates is an important part of the larger effort to develop long-term Earth System Data Records (ESDRs) for the major components (storages and fluxes) of the terrestrial water cycle. In the current study, global estimates of sensible heat and evaporative fluxes are developed for 1984-2006 using three process-based models forced by two remote sensing based data sets. The models are surface energy balance system (SEBS), a modified Penman-Monteith approach, and a Priestley-Taylor approach. The models are driven by radiation inputs from the ISCCP and SRB data sets, with the meteorological forcing data from ISCCP, and vegetation characteristics from AVHRR. Estimates are made using the three models. Comparisons among the data sets show large differences in magnitude and long-term variability, due mainly to uncertainties in the forcing radiation. Comparisons with independent data sets from inferred evaporation estimates [(P-Q)climatology], off-line land surface model (VIC) data, previously developed remote sensing products and estimates derived from tower data, reveals consistency at large scales, but large differences in some regions, most notably in the northern hemisphere.

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More information

Published date: January 2012
Venue - Dates: Remote Sensing and Hydrology Symposium, , Jackson Hole, WY, United States, 2010-09-27 - 2010-09-30
Keywords: Evapotranspiration, Land Flux, Latent heat flux, Penman-Monteith, Priestley-Taylor, Sensible heat flux, Surface energy balance

Identifiers

Local EPrints ID: 480754
URI: http://eprints.soton.ac.uk/id/eprint/480754
ISSN: 0144-7815
PURE UUID: 25bb6302-8391-4682-a3ef-db6fda683a93
ORCID for Justin Sheffield: ORCID iD orcid.org/0000-0003-2400-0630

Catalogue record

Date deposited: 09 Aug 2023 17:09
Last modified: 06 Jun 2024 01:54

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Contributors

Author: Raghuveer K. Vinukollu
Author: Alok Sahoo
Author: Eric F. Wood

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