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Title: Are Remote Sensing Evapotranspiration Models Reliable Across South American Ecoregions?

Abstract

Many remote sensing-based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America and Europe. Model evaluation across South America has been done locally or using only a single algorithm at a time. Here, in this work, we provide the first evaluation of multiple RSBET models, at a daily scale, across a wide variety of biomes, climate zones, and land uses in South America. We used meteorological data from 25 flux towers to force four RSBET models: Priestley–Taylor Jet Propulsion Laboratory (PT-JPL), Global Land Evaporation Amsterdam Model (GLEAM), Penman–Monteith Mu model (PM-MOD), and Penman–Monteith Nagler model (PM-VI). ET was predicted satisfactorily by all four models, with correlations consistently higher (R2 > 6) for GLEAM and PT-JPL, and PM-MOD and PM-VI presenting overall better responses in terms of percent bias (-10 < PBIAS < 10%). As for PM-VI, this outcome is expected, given that the model requires calibration with local data. Model skill seems to be unrelated to land-use but instead presented some dependency on biome and climate, with the models producing the best results for wet to moderately wet environments. Our findings show the suitability of individual models for amore » number of combinations of land cover types, biomes, and climates. At the same time, no model outperformed the others for all conditions, which emphasizes the need for adapting individual algorithms to take into account intrinsic characteristics of climates and ecosystems in South America.« less

Authors:
ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [1]; ORCiD logo [3]; ORCiD logo [3]; ORCiD logo [4]; ORCiD logo [5]; ORCiD logo [6]; ORCiD logo [7]; ORCiD logo [2]; ORCiD logo [8]; ORCiD logo [8]; ORCiD logo [9]; ORCiD logo [7]; ORCiD logo [8]; ORCiD logo [8]; ORCiD logo [2]; ORCiD logo [10]; ORCiD logo [11]; ORCiD logo [12] more »; ORCiD logo [13]; ORCiD logo [14]; ORCiD logo [15]; ORCiD logo [16]; ORCiD logo [13]; ORCiD logo [17]; ORCiD logo [18]; ORCiD logo [19]; ORCiD logo [19]; ORCiD logo [20]; ORCiD logo [21]; ORCiD logo [3]; ORCiD logo [2]; ORCiD logo [22] « less
+ Show Author Affiliations
  1. Federal University of Paraíba (Brazil)
  2. Federal University of Mato Grosso (Brazil)
  3. Ghent Univ. (Belgium)
  4. Chapman Univ., Orange, CA (United States)
  5. Imperial College, London (United Kingdom)
  6. Univ. of Montana, Missoula, MT (United States)
  7. Brazilian Agricultural Research Corporation (Brazil)
  8. Federal Univ. of Rio Grande do Norte (Brazil)
  9. Univ. of Arizona, Tucson, AZ (United States)
  10. Univ. of Bristol (United Kingdom)
  11. Texas A & M Univ., College Station, TX (United States)
  12. Federal University of Pernambuco (Brazil)
  13. Univ. of Hamburg (Germany)
  14. University of Chile, Santiago (Chile)
  15. University of Chile, Santiago (Chile); Institute of Ecology and Biodiversity, Santiago (Chile)
  16. Univ. of Reading (United Kingdom)
  17. Federal University of the Agreste of Pernambuco (Brazil)
  18. Federal Rural University of Pernambuco (Brazil)
  19. Univ. of Buenos Aires (Argentina); National Scientific and Technical Research Council (CONICET) (Argentina)
  20. Univ. of Buenos Aires (Argentina)
  21. Instituto Nacional de Tecnología Agropecuaria (INTA) (Argentina)
  22. Univ. of Sao Paulo (Brazil)
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). AmeriFlux
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1982069
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Water Resources Research
Additional Journal Information:
Journal Volume: 57; Journal Issue: 11; Journal ID: ISSN 0043-1397
Publisher:
American Geophysical Union (AGU)
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; MODIS; transpiration; Penman-Monteith; Priestly-Taylor

Citation Formats

Melo, D. C. D., Anache, J. A. A., Borges, V. P., Miralles, D. G., Martens, B., Fisher, J. B., Nóbrega, R. L. B., Moreno, A., Cabral, O. M. R., Rodrigues, T. R., Bezerra, B., Silva, C. M. S., Neto, A. A. Meira, Moura, M. S. B., Marques, T. V., Campos, S., Nogueira, J. S., Rosolem, R., Souza, R. M. S., Antonino, A. C. D., Holl, D., Galleguillos, M., Perez‐Quezada, J. F., Verhoef, A., Kutzbach, L., Lima, J. R. S., Souza, E. S., Gassman, M. I., Perez, C. F., Tonti, N., Posse, G., Rains, D., Oliveira, P. T. S., and Wendland, E. Are Remote Sensing Evapotranspiration Models Reliable Across South American Ecoregions?. United States: N. p., 2021. Web. doi:10.1029/2020wr028752.
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Melo, D. C. D., Anache, J. A. A., Borges, V. P., Miralles, D. G., Martens, B., Fisher, J. B., Nóbrega, R. L. B., Moreno, A., Cabral, O. M. R., Rodrigues, T. R., Bezerra, B., Silva, C. M. S., Neto, A. A. Meira, Moura, M. S. B., Marques, T. V., Campos, S., Nogueira, J. S., Rosolem, R., Souza, R. M. S., Antonino, A. C. D., Holl, D., Galleguillos, M., Perez‐Quezada, J. F., Verhoef, A., Kutzbach, L., Lima, J. R. S., Souza, E. S., Gassman, M. I., Perez, C. F., Tonti, N., Posse, G., Rains, D., Oliveira, P. T. S., & Wendland, E. Are Remote Sensing Evapotranspiration Models Reliable Across South American Ecoregions?. United States. https://doi.org/10.1029/2020wr028752
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Melo, D. C. D., Anache, J. A. A., Borges, V. P., Miralles, D. G., Martens, B., Fisher, J. B., Nóbrega, R. L. B., Moreno, A., Cabral, O. M. R., Rodrigues, T. R., Bezerra, B., Silva, C. M. S., Neto, A. A. Meira, Moura, M. S. B., Marques, T. V., Campos, S., Nogueira, J. S., Rosolem, R., Souza, R. M. S., Antonino, A. C. D., Holl, D., Galleguillos, M., Perez‐Quezada, J. F., Verhoef, A., Kutzbach, L., Lima, J. R. S., Souza, E. S., Gassman, M. I., Perez, C. F., Tonti, N., Posse, G., Rains, D., Oliveira, P. T. S., and Wendland, E. Wed . "Are Remote Sensing Evapotranspiration Models Reliable Across South American Ecoregions?". United States. https://doi.org/10.1029/2020wr028752. https://www.osti.gov/servlets/purl/1982069.
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@article{osti_1982069,
title = {Are Remote Sensing Evapotranspiration Models Reliable Across South American Ecoregions?},
author = {Melo, D. C. D. and Anache, J. A. A. and Borges, V. P. and Miralles, D. G. and Martens, B. and Fisher, J. B. and Nóbrega, R. L. B. and Moreno, A. and Cabral, O. M. R. and Rodrigues, T. R. and Bezerra, B. and Silva, C. M. S. and Neto, A. A. Meira and Moura, M. S. B. and Marques, T. V. and Campos, S. and Nogueira, J. S. and Rosolem, R. and Souza, R. M. S. and Antonino, A. C. D. and Holl, D. and Galleguillos, M. and Perez‐Quezada, J. F. and Verhoef, A. and Kutzbach, L. and Lima, J. R. S. and Souza, E. S. and Gassman, M. I. and Perez, C. F. and Tonti, N. and Posse, G. and Rains, D. and Oliveira, P. T. S. and Wendland, E.},
abstractNote = {Many remote sensing-based evapotranspiration (RSBET) algorithms have been proposed in the past decades and evaluated using flux tower data, mainly over North America and Europe. Model evaluation across South America has been done locally or using only a single algorithm at a time. Here, in this work, we provide the first evaluation of multiple RSBET models, at a daily scale, across a wide variety of biomes, climate zones, and land uses in South America. We used meteorological data from 25 flux towers to force four RSBET models: Priestley–Taylor Jet Propulsion Laboratory (PT-JPL), Global Land Evaporation Amsterdam Model (GLEAM), Penman–Monteith Mu model (PM-MOD), and Penman–Monteith Nagler model (PM-VI). ET was predicted satisfactorily by all four models, with correlations consistently higher (R2 > 6) for GLEAM and PT-JPL, and PM-MOD and PM-VI presenting overall better responses in terms of percent bias (-10 < PBIAS < 10%). As for PM-VI, this outcome is expected, given that the model requires calibration with local data. Model skill seems to be unrelated to land-use but instead presented some dependency on biome and climate, with the models producing the best results for wet to moderately wet environments. Our findings show the suitability of individual models for a number of combinations of land cover types, biomes, and climates. At the same time, no model outperformed the others for all conditions, which emphasizes the need for adapting individual algorithms to take into account intrinsic characteristics of climates and ecosystems in South America.},
doi = {10.1029/2020wr028752},
journal = {Water Resources Research},
number = 11,
volume = 57,
place = {United States},
year = {Wed Oct 13 00:00:00 EDT 2021},
month = {Wed Oct 13 00:00:00 EDT 2021}
}
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Global land-surface evaporation estimated from satellite-based observations
journal, January 2011

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Radiation, surface temperature and evaporation over wet surfaces
journal, March 2019

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Relating the Global Vegetation Index to net primary productivity and actual evapotranspiration over Africa
journal, May 1993

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An isotopic approach to partition evapotranspiration in a mixed deciduous forest
journal, July 2020

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In situ unsaturated zone water stable isotope ( 2 H and 18 O) measurements in semi-arid environments: a soil water balance
journal, January 2016

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Evaluation of MOD16 Algorithm over Irrigated Rice Paddy Using Flux Tower Measurements in Southern Brazil
journal, September 2019

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Large-Scale Water Productivity Assessments with MODIS Images in a Changing Semi-Arid Environment: A Brazilian Case Study
journal, November 2013

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What drives the seasonality of photosynthesis across the Amazon basin? A cross-site analysis of eddy flux tower measurements from the Brasil flux network
journal, December 2013

Evapotranspiration information reporting: I. Factors governing measurement accuracy
journal, April 2011

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Assessment of the MODIS global evapotranspiration algorithm using eddy covariance measurements and hydrological modelling in the Rio Grande basin
journal, October 2013

Measuring boreal forest evapotranspiration using the energy balance residual
journal, March 2009

The WACMOS-ET project – Part 1: Tower-scale evaluation of four remote-sensing-based evapotranspiration algorithms
journal, January 2016

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Large net CO2 loss from a grass-dominated tropical savanna in south-central Brazil in response to seasonal and interannual drought
journal, August 2016

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Water and energy fluxes from a woodland savanna (cerrado) in southeast Brazil
journal, September 2015

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Assessing Tower Flux Footprint Climatology and Scaling Between Remotely Sensed and Eddy Covariance Measurements
journal, December 2008

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Quantifying uncertainty in a remote sensing-based estimate of evapotranspiration over continental USA
journal, August 2010

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Lysimeter assessment of the Simplified Two-Source Energy Balance model and eddy covariance system to estimate vineyard evapotranspiration
journal, August 2019

State of the Climate in 2019
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Evapotranspiration Estimation for Tibetan Plateau Headwaters Using Conjoint Terrestrial and Atmospheric Water Balances and Multisource Remote Sensing
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Analysis of time-series MODIS 250 m vegetation index data for crop classification in the U.S. Central Great Plains
journal, June 2007

Improving terrestrial evaporation estimates over continental Australia through assimilation of SMOS soil moisture
journal, June 2016

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On Uncertainty in Global Terrestrial Evapotranspiration Estimates from Choice of Input Forcing Datasets
journal, August 2015

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Performance of SSEBop model for estimating wheat actual evapotranspiration in the Brazilian Savannah region
journal, April 2019

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Estimating evapotranspiration of pistachio crop based on SEBAL algorithm using Landsat 8 satellite imagery
journal, May 2019

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

Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset
journal, April 2020

Evapotranspiration by remote sensing: An analysis of the Colorado River Delta before and after the Minute 319 pulse flow to Mexico
journal, September 2017

The water balance components of undisturbed tropical woodlands in the Brazilian cerrado
journal, June 2015

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Representativeness of FLUXNET Sites Across Latin America
journal, March 2021

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A remote sensing surface energy balance algorithm for land (SEBAL). 1. Formulation
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The global long-term microwave Vegetation Optical Depth Climate Archive (VODCA)
journal, January 2020

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LBA-ECO CD-32 Flux Tower Network Data Compilation, Brazilian Amazon: 1999-2006
collection, January 2013

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Seasonal patterns of carbon dioxide, water and energy fluxes over the Caatinga and grassland in the semi-arid region of Brazil
journal, December 2017

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Fitting autoregressive models for prediction
journal, December 1969

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Assessment of terrestrial water balance using remote sensing data in South America
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Improved Albedo Estimates Implemented in the METRIC Model for Modeling Energy Balance Fluxes and Evapotranspiration over Agricultural and Natural Areas in the Brazilian Cerrado
journal, July 2018

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Temporal trend changes in reference evapotranspiration contrasting different land uses in southern Amazon basin
journal, May 2021

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ECOSTRESS: NASA's Next Generation Mission to Measure Evapotranspiration From the International Space Station
journal, April 2020

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The comparative biodiversity of seven globally important wetlands: a synthesis
journal, September 2006

Surface-Energy-Balance Closure over Land: A Review
journal, May 2020

Leaf Senescence of Postproduction Poinsettias in Low-light Stress
journal, September 1994

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CubeSats Enable High Spatiotemporal Retrievals of Crop-Water Use for Precision Agriculture
journal, November 2018

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Estimation of soil moisture in the root-zone from remote sensing data
journal, June 2013

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Terrestrial ecosystem production: A process model based on global satellite and surface data
journal, December 1993

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The WACMOS-ET project – Part 2: Evaluation of global terrestrial evaporation data sets
journal, January 2016

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The Surface Energy Balance System (SEBS) for estimation of turbulent heat fluxes
journal, January 2002

The energy and water balance of a Eucalyptus plantation in southeast Brazil
journal, July 2010

Sensitivity of global terrestrial ecosystems to climate variability
journal, February 2016

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Biodiversity and its conservation in the Pantanal of Mato Grosso, Brazil
journal, August 2006

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The GEWEX LandFlux project: evaluation of model evaporation using tower-based and globally gridded forcing data
journal, January 2016

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Partitioning daily evapotranspiration from a marsh wetland using stable isotopes in a semiarid region
journal, September 2017

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Partitioning of rainfall in a seasonal dry tropical forest
journal, April 2020

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Overview of the radiometric and biophysical performance of the MODIS vegetation indices
journal, November 2002

Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources
journal, July 2012

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The AmeriFlux network: A coalition of the willing
journal, February 2018

Terrestrial Ecoregions of the World: A New Map of Life on Earth
journal, January 2001

AmeriFlux AmeriFlux AR-TF2 Rio Pipo bog
dataset, January 2019

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