skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: An Empirical Orthogonal Function-Based Algorithm for Estimating Terrestrial Latent Heat Flux from Eddy Covariance, Meteorological and Satellite Observations

Abstract

Accurate estimation of latent heat flux (LE) based on remote sensing data is critical in characterizing terrestrial ecosystems and modeling land surface processes. Many LE products were released during the past few decades, but their quality might not meet the requirements in terms of data consistency and estimation accuracy. Merging multiple algorithms could be an effective way to improve the quality of existing LE products. In this paper, we present a data integration method based on modified empirical orthogonal function (EOF) analysis to integrate the Moderate Resolution Imaging Spectroradiometer (MODIS) LE product (MOD16) and the Priestley-Taylor LE algorithm of Jet Propulsion Laboratory (PT-JPL) estimate. Twenty-two eddy covariance (EC) sites with LE observation were chosen to evaluate our algorithm, showing that the proposed EOF fusion method was capable of integrating the two satellite data sets with improved consistency and reduced uncertainties. Further efforts were needed to evaluate and improve the proposed algorithm at larger spatial scales and time periods, and over different land cover types.

Authors:
 [1];  [1];  [2];  [3];  [4];  [2];  [2];  [5];  [6]
  1. Beijing Normal Univ. (China). College of Global Change and Earth System Science. State Key Lab. of Remote Sensing Science
  2. Beijing Normal Univ. (China). School of Geography. State Key Lb. of Remote Sensing Science
  3. Beijing Normal Univ. (China). College of Global Change and Earth System Science. State Key Lab. of Remote Sensing Science; Univ. of Maryland, College Park, MD (United States). Dept. of Geographical Sciences
  4. Michigan State Univ., East Lansing, MI (United States). Center for Global Change and Earth Observations (CGCEO). Landscape Ecology & Ecosystem Science (LEES) Lab
  5. Szent István Univ., Gödöllő (Hungary). Inst. of Botany and Ecophysiology; Szent István Univ., Gödöllő (Hungary). MTA-SZIE Plant Ecology Research Group
  6. Queen's Univ., Kingston, ON (Canada). Dept. of Geography
Publication Date:
Research Org.:
Univ. of Maryland, College Park, MD (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1627799
Grant/Contract Number:  
FG02-04ER63917; FG02- 04ER63911
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
PLoS ONE
Additional Journal Information:
Journal Volume: 11; Journal Issue: 7; Journal ID: ISSN 1932-6203
Publisher:
Public Library of Science
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Science & Technology - Other Topics

Citation Formats

Feng, Fei, Li, Xianglan, Yao, Yunjun, Liang, Shunlin, Chen, Jiquan, Zhao, Xiang, Jia, Kun, Pintér, Krisztina, and McCaughey, J. Harry. An Empirical Orthogonal Function-Based Algorithm for Estimating Terrestrial Latent Heat Flux from Eddy Covariance, Meteorological and Satellite Observations. United States: N. p., 2016. Web. doi:10.1371/journal.pone.0160150.
Feng, Fei, Li, Xianglan, Yao, Yunjun, Liang, Shunlin, Chen, Jiquan, Zhao, Xiang, Jia, Kun, Pintér, Krisztina, & McCaughey, J. Harry. An Empirical Orthogonal Function-Based Algorithm for Estimating Terrestrial Latent Heat Flux from Eddy Covariance, Meteorological and Satellite Observations. United States. https://doi.org/10.1371/journal.pone.0160150
Feng, Fei, Li, Xianglan, Yao, Yunjun, Liang, Shunlin, Chen, Jiquan, Zhao, Xiang, Jia, Kun, Pintér, Krisztina, and McCaughey, J. Harry. Fri . "An Empirical Orthogonal Function-Based Algorithm for Estimating Terrestrial Latent Heat Flux from Eddy Covariance, Meteorological and Satellite Observations". United States. https://doi.org/10.1371/journal.pone.0160150. https://www.osti.gov/servlets/purl/1627799.
@article{osti_1627799,
title = {An Empirical Orthogonal Function-Based Algorithm for Estimating Terrestrial Latent Heat Flux from Eddy Covariance, Meteorological and Satellite Observations},
author = {Feng, Fei and Li, Xianglan and Yao, Yunjun and Liang, Shunlin and Chen, Jiquan and Zhao, Xiang and Jia, Kun and Pintér, Krisztina and McCaughey, J. Harry},
abstractNote = {Accurate estimation of latent heat flux (LE) based on remote sensing data is critical in characterizing terrestrial ecosystems and modeling land surface processes. Many LE products were released during the past few decades, but their quality might not meet the requirements in terms of data consistency and estimation accuracy. Merging multiple algorithms could be an effective way to improve the quality of existing LE products. In this paper, we present a data integration method based on modified empirical orthogonal function (EOF) analysis to integrate the Moderate Resolution Imaging Spectroradiometer (MODIS) LE product (MOD16) and the Priestley-Taylor LE algorithm of Jet Propulsion Laboratory (PT-JPL) estimate. Twenty-two eddy covariance (EC) sites with LE observation were chosen to evaluate our algorithm, showing that the proposed EOF fusion method was capable of integrating the two satellite data sets with improved consistency and reduced uncertainties. Further efforts were needed to evaluate and improve the proposed algorithm at larger spatial scales and time periods, and over different land cover types.},
doi = {10.1371/journal.pone.0160150},
url = {https://www.osti.gov/biblio/1627799}, journal = {PLoS ONE},
issn = {1932-6203},
number = 7,
volume = 11,
place = {United States},
year = {2016},
month = {7}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record

Figures / Tables:

Fig 1 Fig 1: Coefficient of determination of latent heat fluxes (PT-JPL model) as a function of the number of leading EOF components. The left Y-axis is the contribution rate of covariance for each single EOF components (blue). The right Y-axis is the contribution rate of cumulative total of variance (red).

Save / Share:

Works referenced in this record:

Trends in Land–Atmosphere Interactions from CMIP5 Simulations
journal, June 2013


Comparison of satellite-based evapotranspiration models over terrestrial ecosystems in China
journal, January 2014


Improvements to a MODIS global terrestrial evapotranspiration algorithm
journal, August 2011


The net carbon drawdown of small scale afforestation from satellite observations
journal, December 2009


Development of a global evapotranspiration algorithm based on MODIS and global meteorology data
journal, December 2007


MODIS-driven estimation of terrestrial latent heat flux in China based on a modified Priestley–Taylor algorithm
journal, April 2013


Some terms of reference in data fusion
journal, May 1999


Correcting surface solar radiation of two data assimilation systems against FLUXNET observations in North America: CORRECTING MODELED SOLAR RADIATION
journal, September 2013


Global estimates of the land–atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites
journal, March 2008


Multi-model ensemble hydrologic prediction using Bayesian model averaging
journal, May 2007


Energy balance closure at FLUXNET sites
journal, December 2002


A Weak-Constraint-Based Data Assimilation Scheme for Estimating Surface Turbulent Fluxes
journal, October 2007


Global estimates of evapotranspiration and gross primary production based on MODIS and global meteorology data
journal, July 2010


Improvements of the MODIS terrestrial gross and net primary production global data set
journal, March 2005


Intercomparison of surface energy flux measurement systems used during the HiWATER-MUSOEXE: INTERCOMPARISON OF FLUX INSTRUMENTS
journal, December 2013


Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological, and satellite observations
journal, April 2014


Regional evaporation estimates from flux tower and MODIS satellite data
journal, February 2007


An improved method for estimating global evapotranspiration based on satellite determination of surface net radiation, vegetation index, temperature, and soil moisture
conference, July 2008

  • Wang, Kaicun; Liang, Shunlin
  • 2008 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium
  • https://doi.org/10.1109/IGARSS.2008.4779489

On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters
journal, February 1972


Effects of spatial aggregation on the multi-scale estimation of evapotranspiration
journal, April 2013


On the net surface water exchange rate estimated from remote-sensing observation and reanalysis
journal, March 2014


A continuous satellite-derived global record of land surface evapotranspiration from 1983 to 2006: GLOBAL RECORD OF LAND SURFACE EVAPOTRANSPIRATION
journal, September 2010


A long-term Global LAnd Surface Satellite (GLASS) data-set for environmental studies
journal, December 2013


Correcting eddy-covariance flux underestimates over a grassland
journal, June 2000


Validation of Global Evapotranspiration Product (MOD16) using Flux Tower Data in the African Savanna, South Africa
journal, August 2014


Integrating MODIS and CYCLOPES Leaf Area Index Products Using Empirical Orthogonal Functions
journal, May 2011


Validation of MODIS 16 global terrestrial evapotranspiration products in various climates and land cover types in Asia
journal, January 2012


Benchmark products for land evapotranspiration: LandFlux-EVAL multi-data set synthesis
journal, January 2013


Evapotranspiration models compared on a Sierra Nevada forest ecosystem
journal, June 2005


An Empirical Orthogonal Function Iteration Approach for Obtaining Homogeneous Radiative Fluxes from Satellite Observations
journal, April 2007


A comparison of eddy-covariance and large aperture scintillometer measurements with respect to the energy balance closure problem
journal, January 2011


Evaluation of global observations-based evapotranspiration datasets and IPCC AR4 simulations: GLOBAL LAND EVAPOTRANSPIRATION DATASETS
journal, March 2011


Global estimates of evapotranspiration for climate studies using multi-sensor remote sensing data: Evaluation of three process-based approaches
journal, March 2011


Multi-site evaluation of terrestrial evaporation models using FLUXNET data
journal, April 2014


Global intercomparison of 12 land surface heat flux estimates
journal, January 2011


Uncertainty in evapotranspiration from land surface modeling, remote sensing, and GRACE satellites
journal, February 2014


Empirical orthogonal functions and related techniques in atmospheric science: A review
journal, January 2007


Interpretation of Extended Empirical Orthogonal Function (EEOF) Analysis
journal, September 1993


Reconstruction of Historical Sea Surface Temperatures Using Empirical Orthogonal Functions
journal, June 1996


ET come home: potential evapotranspiration in geographical ecology: ET come home
journal, August 2010


EOF Calculations and Data Filling from Incomplete Oceanographic Datasets*
journal, December 2003


Mapping of Land-Atmosphere Heat Fluxes and Surface Parameters with Remote Sensing Data
journal, June 2003


    Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.