@article{fdi:010073217,
title = {{C}alibrating an evapotranspiration model using radiometric surface temperature, vegetation cover fraction and near-surface soil moisture data},
author = {{H}ssaine, {B}. {A}. and {M}erlin, {O}livier and {R}afi, {Z}. and {E}zzahar, {J}. and {J}arlan, {L}ionel and {K}habba, {S}. and {E}r-{R}aki, {S}.},
editor = {},
language = {{ENG}},
abstract = {{A}n accurate representation of the partitioning between soil evaporation and plant transpiration is an asset for modeling crop evapotranspiration ({ET}) along the agricultural season. {T}he {T}wo-{S}urface energy {B}alance ({TSEB}) model operates the {ET} partitioning by using the land surface temperature ({LST}), vegetation cover fraction (fc), and the {P}riestley {T}aylor ({PT}) assumption that relates transpiration to net radiation via a fixed {PT} coefficient (alpha(p{T})). {T}o help constrain the evaporation/transpiration partition of {TSEB}, a new model (named {TSEB}-{SM}) is developed by using, in addition to {LST} and fc data, the near-surface soil moisture ({SM}) as an extra constraint on soil evaporation. {A}n innovative calibration procedure is proposed to retrieve three key parameters: an and the parameters (a(rss) and b(rss)) of a soil resistance formulation. {S}pecifically, a(rss) and b(rss) are retrieved at the seasonal time scale from {SM} and {LST} data with f(c) < 0.5, while ap{T} is retrieved at the daily time scale from {SM} and {LST} data for f, > 0.5. {T}he new {ET} model named {TSEB}-{SM} is tested over 1 flood- and 2 drip-irrigated wheat fields using in situ data collected during two field experiments in 2002-2003 and 2016-2017. {T}he calibration algorithm is found to be remarkably stable as an, a and brss parameters converge rapidly in few (2-3) iterations. {R}etrieved values of alpha(p{T}), a(rss) and b(rss) are in the range 0.0-1.4, 5.7-9.5, and 1.4-6.9, respectively. {C}alibrated daily ap{T} mainly follows the phenology of winter wheat crop with a maximum value coincident with the full development of green biomass and a minimum value reached at harvest. {T}he temporal variations of alpha(p{T}) before senescence are attributed to the dynamics of both root-zone soil moisture. {M}oreover, the overall (for the three sites) root mean square difference between the {ET} simulated by {TSEB}-{SM} and eddy-covariance measurements is 67 {W} {M}-2 (24% relative error), compared to 108 {W} m(-2) (38% relative error) for the original version of {TSEB} using default parameterization (alpha(p{T}) = 1.26). {S}uch a calibration strategy has great potential for applications at multiple scales using remote sensing data including thermal-derived {LST}, solar reflectance-derived f(c) and microwave-derived {SM}.},
keywords = {{TSEB} modifid ; {P}riestley-taylor coefficient ; {T}urbulent heat fluxes ; {V}egetation cover fraction ; {S}oil moisture ; {L}and surface temperature ; {MAROC}},
booktitle = {},
journal = {{A}gricultural and {F}orest {M}eteorology},
volume = {256},
numero = {},
pages = {104--115},
ISSN = {0168-1923},
year = {2018},
DOI = {10.1016/j.agrformet.2018.02.033},
URL = {https://www.documentation.ird.fr/hor/fdi:010073217},
}