Estimation of surface heat fluxes and evapotranspiration using community land model

Juan Du; Chaoshun Liu; Runhe Shi; Shijie Shu; Wei Gao

doi:10.1117/12.2021852

Estimation of surface heat fluxes and evapotranspiration using community land model

Juan Du
, Chaoshun Liu
, Runhe Shi
, Shijie Shu
, Wei Gao

School of Geographic Sciences

East China Normal University
Colorado State University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Land surface heat and water fluxes are key components of water and energy cycles between land and atmosphere. Information about these surface fluxes can guide agricultural production and environmental preservation, and manage different ecosystems to mitigate climate change. The main objective of this work is to estimate the surface heat fluxes and evapotranspiration. For this purpose, the Community Land Model Version 3 was used, atmospheric forcing data and flux observation were extracted from AmeriFlux standardized Level 2 database, then surface heat fluxes under two different underlying surfaces were modeled. The results showed that the model works well regarding the simulation of daily surface fluxes and diurnal surface fluxes although these values were underestimated relative to the values observed from eddycovariance. After validation, evapotranspiration was chosen as the indicator for specific comparison. CLM3.0 showed a better performance in simulating the moisture and evapotranspiration.

Original language	English
Title of host publication	Remote Sensing and Modeling of Ecosystems for Sustainability X
Publisher	SPIE
ISBN (Print)	9780819497192
DOIs	https://doi.org/10.1117/12.2021852
State	Published - 2013
Event	Remote Sensing and Modeling of Ecosystems for Sustainability X - San Diego, CA, United States Duration: 26 Aug 2013 → 29 Aug 2013

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	8869
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Remote Sensing and Modeling of Ecosystems for Sustainability X
Country/Territory	United States
City	San Diego, CA
Period	26/08/13 → 29/08/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 2 Zero Hunger
SDG 13 Climate Action
SDG 15 Life on Land

Keywords

Community Land Model
Evapotranspiration
Latent heat flux
Sensible heat flux
Underlying surface

Access to Document

10.1117/12.2021852

Cite this

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title = "Estimation of surface heat fluxes and evapotranspiration using community land model",

abstract = "Land surface heat and water fluxes are key components of water and energy cycles between land and atmosphere. Information about these surface fluxes can guide agricultural production and environmental preservation, and manage different ecosystems to mitigate climate change. The main objective of this work is to estimate the surface heat fluxes and evapotranspiration. For this purpose, the Community Land Model Version 3 was used, atmospheric forcing data and flux observation were extracted from AmeriFlux standardized Level 2 database, then surface heat fluxes under two different underlying surfaces were modeled. The results showed that the model works well regarding the simulation of daily surface fluxes and diurnal surface fluxes although these values were underestimated relative to the values observed from eddycovariance. After validation, evapotranspiration was chosen as the indicator for specific comparison. CLM3.0 showed a better performance in simulating the moisture and evapotranspiration.",

keywords = "Community Land Model, Evapotranspiration, Latent heat flux, Sensible heat flux, Underlying surface",

author = "Juan Du and Chaoshun Liu and Runhe Shi and Shijie Shu and Wei Gao",

year = "2013",

doi = "10.1117/12.2021852",

language = "英语",

isbn = "9780819497192",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

booktitle = "Remote Sensing and Modeling of Ecosystems for Sustainability X",

address = "美国",

note = "Remote Sensing and Modeling of Ecosystems for Sustainability X ; Conference date: 26-08-2013 Through 29-08-2013",

}

Du, J, Liu, C, Shi, R, Shu, S & Gao, W 2013, Estimation of surface heat fluxes and evapotranspiration using community land model. in Remote Sensing and Modeling of Ecosystems for Sustainability X., 886915, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8869, SPIE, Remote Sensing and Modeling of Ecosystems for Sustainability X, San Diego, CA, United States, 26/08/13. https://doi.org/10.1117/12.2021852

Estimation of surface heat fluxes and evapotranspiration using community land model. / Du, Juan; Liu, Chaoshun; Shi, Runhe et al.
Remote Sensing and Modeling of Ecosystems for Sustainability X. SPIE, 2013. 886915 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8869).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Estimation of surface heat fluxes and evapotranspiration using community land model

AU - Du, Juan

AU - Liu, Chaoshun

AU - Shi, Runhe

AU - Shu, Shijie

AU - Gao, Wei

PY - 2013

Y1 - 2013

N2 - Land surface heat and water fluxes are key components of water and energy cycles between land and atmosphere. Information about these surface fluxes can guide agricultural production and environmental preservation, and manage different ecosystems to mitigate climate change. The main objective of this work is to estimate the surface heat fluxes and evapotranspiration. For this purpose, the Community Land Model Version 3 was used, atmospheric forcing data and flux observation were extracted from AmeriFlux standardized Level 2 database, then surface heat fluxes under two different underlying surfaces were modeled. The results showed that the model works well regarding the simulation of daily surface fluxes and diurnal surface fluxes although these values were underestimated relative to the values observed from eddycovariance. After validation, evapotranspiration was chosen as the indicator for specific comparison. CLM3.0 showed a better performance in simulating the moisture and evapotranspiration.

AB - Land surface heat and water fluxes are key components of water and energy cycles between land and atmosphere. Information about these surface fluxes can guide agricultural production and environmental preservation, and manage different ecosystems to mitigate climate change. The main objective of this work is to estimate the surface heat fluxes and evapotranspiration. For this purpose, the Community Land Model Version 3 was used, atmospheric forcing data and flux observation were extracted from AmeriFlux standardized Level 2 database, then surface heat fluxes under two different underlying surfaces were modeled. The results showed that the model works well regarding the simulation of daily surface fluxes and diurnal surface fluxes although these values were underestimated relative to the values observed from eddycovariance. After validation, evapotranspiration was chosen as the indicator for specific comparison. CLM3.0 showed a better performance in simulating the moisture and evapotranspiration.

KW - Community Land Model

KW - Evapotranspiration

KW - Latent heat flux

KW - Sensible heat flux

KW - Underlying surface

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U2 - 10.1117/12.2021852

DO - 10.1117/12.2021852

M3 - 会议稿件

AN - SCOPUS:84887924765

SN - 9780819497192

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Remote Sensing and Modeling of Ecosystems for Sustainability X

PB - SPIE

T2 - Remote Sensing and Modeling of Ecosystems for Sustainability X

Y2 - 26 August 2013 through 29 August 2013

ER -

Estimation of surface heat fluxes and evapotranspiration using community land model

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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