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ASSIMILATION OF SMAP BASED DISAGGREGATED SOIL MOISTURE FOR IMPROVING SOIL EVAPORATION ESTIMATES BY FAO-2Kc MODEL

Amazirh, Abdelhakim ; Chehbouni, Abdelghani ; Merlin, Olivier ; Bouras, Elhoussaine LU orcid and Er-Raki, Salah (2021) 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 p.6568-6571
Abstract

Food and Agriculture Organization (FAO) dual crop coefficient (FAO-2Kc) is one of the widely used formulation to estimate soil evaporation (E) due to its operationality and simplicity. The FAO-2Kc method could explicitly distinguish the contribution of E and plant transpiration, separately. However, systematic and random uncertainty in E observations still exist. In this vein, this paper attempts to improve FAO-2Kc evapotranspiration estimates through assimilating SMAP-based disaggregated soil moisture (SM) into FAO-2Kc E component via the soil evaporation coefficient. Sequential data assimilation methods (Kalman filter) was used for this purpose, where E is strongly linked to SM especially under arid atmospheric conditions where energy... (More)

Food and Agriculture Organization (FAO) dual crop coefficient (FAO-2Kc) is one of the widely used formulation to estimate soil evaporation (E) due to its operationality and simplicity. The FAO-2Kc method could explicitly distinguish the contribution of E and plant transpiration, separately. However, systematic and random uncertainty in E observations still exist. In this vein, this paper attempts to improve FAO-2Kc evapotranspiration estimates through assimilating SMAP-based disaggregated soil moisture (SM) into FAO-2Kc E component via the soil evaporation coefficient. Sequential data assimilation methods (Kalman filter) was used for this purpose, where E is strongly linked to SM especially under arid atmospheric conditions where energy is not the limited factor. The proposed approach is applied over a semi-arid site in central Morocco. Results revealed that the assimilation approach provides better results in term of evapotranspiration by decreasing the root mean square error from 0.98 mm/day to 0.75 mm/day compared to the standard FAO-2Kc.

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author
; ; ; and
publishing date
type
Contribution to conference
publication status
published
subject
keywords
Data assimilation, FAO-2Kc, SMAP, Soil evaporation, Soil moisture
pages
4 pages
conference name
2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
conference location
Brussels, Belgium
conference dates
2021-07-12 - 2021-07-16
external identifiers
  • scopus:85130061260
DOI
10.1109/IGARSS47720.2021.9554432
language
English
LU publication?
no
additional info
Funding Information: This study was conducted within the Center of remote sensing application, at the Mohammed VI university-Morocco and funded by OCP (AS No 71). The in situ data set was provided by the Joint International Laboratory TREMA (https://www.lmi-trema.ma/). The MIT-OCP-CRSA “African data portal geospatial frameworks for science, capacity-building and decision-making purposes” project. RISE-H2020-ACCWA. PRIMA-IDEWA, and PRIMA-ALTOS is also acknowledged. Publisher Copyright: © 2021 IEEE
id
1d2f8404-b994-4abb-8837-0b11231b2d0d
date added to LUP
2023-01-04 09:45:00
date last changed
2023-01-20 16:41:54
@misc{1d2f8404-b994-4abb-8837-0b11231b2d0d,
  abstract     = {{<p>Food and Agriculture Organization (FAO) dual crop coefficient (FAO-2Kc) is one of the widely used formulation to estimate soil evaporation (E) due to its operationality and simplicity. The FAO-2Kc method could explicitly distinguish the contribution of E and plant transpiration, separately. However, systematic and random uncertainty in E observations still exist. In this vein, this paper attempts to improve FAO-2Kc evapotranspiration estimates through assimilating SMAP-based disaggregated soil moisture (SM) into FAO-2Kc E component via the soil evaporation coefficient. Sequential data assimilation methods (Kalman filter) was used for this purpose, where E is strongly linked to SM especially under arid atmospheric conditions where energy is not the limited factor. The proposed approach is applied over a semi-arid site in central Morocco. Results revealed that the assimilation approach provides better results in term of evapotranspiration by decreasing the root mean square error from 0.98 mm/day to 0.75 mm/day compared to the standard FAO-2Kc.</p>}},
  author       = {{Amazirh, Abdelhakim and Chehbouni, Abdelghani and Merlin, Olivier and Bouras, Elhoussaine and Er-Raki, Salah}},
  keywords     = {{Data assimilation; FAO-2Kc; SMAP; Soil evaporation; Soil moisture}},
  language     = {{eng}},
  pages        = {{6568--6571}},
  title        = {{ASSIMILATION OF SMAP BASED DISAGGREGATED SOIL MOISTURE FOR IMPROVING SOIL EVAPORATION ESTIMATES BY FAO-2Kc MODEL}},
  url          = {{http://dx.doi.org/10.1109/IGARSS47720.2021.9554432}},
  doi          = {{10.1109/IGARSS47720.2021.9554432}},
  year         = {{2021}},
}