Modelling the dynamics of evapotranspiration using Variable Infiltration Capacity model and regionally calibrated Hargreaves approach

Srivastava, A; Sahoo, B; Raghuwanshi, NS; Chatterjee, C

Modelling the dynamics of evapotranspiration using Variable Infiltration Capacity model and regionally calibrated Hargreaves approach

Srivastava, A

Sahoo, B Raghuwanshi, NS Chatterjee, C

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Publisher:: SPRINGER
Publication Type:: Journal Article
Citation:: Irrigation Science, 2018, 36, (4-5), pp. 289-300
Issue Date:: 2018-09-01

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Field	Value	Language
dc.contributor.author	Srivastava, A https://orcid.org/0000-0002-3963-265X
dc.contributor.author	Sahoo, B
dc.contributor.author	Raghuwanshi, NS
dc.contributor.author	Chatterjee, C
dc.date.accessioned	2022-09-04T22:12:32Z
dc.date.available	2022-09-04T22:12:32Z
dc.date.issued	2018-09-01
dc.identifier.citation	Irrigation Science, 2018, 36, (4-5), pp. 289-300
dc.identifier.issn	0342-7188
dc.identifier.issn	1432-1319
dc.identifier.uri	http://hdl.handle.net/10453/161349
dc.description.abstract	Computation of reference evapotranspiration (ETO) at different spatiotemporal scales is constrained by limited in situ meteorological data availability which, in turn, led to alternate ET estimation methods using the commonly available meteorological data of maximum and minimum temperatures. In this study, the Hargreaves–Samani model and the water budget approach of the Variable Infiltration Capacity (VIC-3L) land surface model was evaluated for grid-scale actual ET estimation using the benchmark FAO-56 Penman–Monteith (PM) equation and crop coefficient relationships. These approaches were field-tested in the Kangsabati River basin in eastern India, a tropical monsoon-type climate region with dominant paddy land uses. The results revealed that the VIC model could estimate the grid-scale ET reasonably well; however, the corresponding estimates by the Hargreaves method were highly overestimated. To enhance the field applicability of the Hargreaves method for data-scarce regions, this method was coupled with a genetic algorithm-based bias correction approach that improved the Nash–Sutcliffe efficiency significantly. Hence, this study reveals that there is a need for regional-scale standardization of the Hargreaves ET estimates using the FAO-56 PM, lysimeter data or the VIC-3L model.
dc.language	English
dc.publisher	SPRINGER
dc.relation.ispartof	Irrigation Science
dc.relation.isbasedon	10.1007/s00271-018-0583-y
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0703 Crop and Pasture Production, 0799 Other Agricultural and Veterinary Sciences
dc.subject.classification	Agronomy & Agriculture
dc.title	Modelling the dynamics of evapotranspiration using Variable Infiltration Capacity model and regionally calibrated Hargreaves approach
dc.type	Journal Article
utslib.citation.volume	36
utslib.for	0703 Crop and Pasture Production
utslib.for	0799 Other Agricultural and Veterinary Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Life Sciences
utslib.copyright.status	closed_access	*
dc.date.updated	2022-09-04T22:12:31Z
pubs.issue	4-5
pubs.publication-status	Published
pubs.volume	36
utslib.citation.issue	4-5

Abstract:

Computation of reference evapotranspiration (ETO) at different spatiotemporal scales is constrained by limited in situ meteorological data availability which, in turn, led to alternate ET estimation methods using the commonly available meteorological data of maximum and minimum temperatures. In this study, the Hargreaves–Samani model and the water budget approach of the Variable Infiltration Capacity (VIC-3L) land surface model was evaluated for grid-scale actual ET estimation using the benchmark FAO-56 Penman–Monteith (PM) equation and crop coefficient relationships. These approaches were field-tested in the Kangsabati River basin in eastern India, a tropical monsoon-type climate region with dominant paddy land uses. The results revealed that the VIC model could estimate the grid-scale ET reasonably well; however, the corresponding estimates by the Hargreaves method were highly overestimated. To enhance the field applicability of the Hargreaves method for data-scarce regions, this method was coupled with a genetic algorithm-based bias correction approach that improved the Nash–Sutcliffe efficiency significantly. Hence, this study reveals that there is a need for regional-scale standardization of the Hargreaves ET estimates using the FAO-56 PM, lysimeter data or the VIC-3L model.

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http://hdl.handle.net/10453/161349