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

Joshua B. Fisher, Brian Lee, Adam J. Purdy, Gregory H. Halverson, Matthew B. Dohlen, Kerry Cawse-Nicholson, Audrey Wang, Ray G. Anderson, Bruno Aragon, M. Altaf Arain, Dennis D. Baldocchi, John M. Baker, Hélène Barral, Carl J. Bernacchi, Christian Bernhofer, Sébastien C. Biraud, Gil Bohrer, Nathaniel Brunsell, Bernard Cappelaere, Saulo Castro-ContrerasJunghwa Chun, Bryan J. Conrad, Edoardo Cremonese, Jérôme Demarty, Ankur R. Desai, Anne De Ligne, Lenka Foltýnová, Michael L. Goulden, Timothy J. Griffis, Thomas Grünwald, Mark S. Johnson, Minseok Kang, Dave Kelbe, Natalia Kowalska, Jong Hwan Lim, Ibrahim Maïnassara, Matthew F. McCabe, Justine E.C. Missik, Binayak P. Mohanty, Caitlin E. Moore, Laura Morillas, Ross Morrison, J. William Munger, Gabriela Posse, Andrew D. Richardson, Eric S. Russell, Youngryel Ryu, Arturo Sanchez-Azofeifa, Marius Schmidt, Efrat Schwartz, Iain Sharp, Ladislav Šigut, Yao Tang, Glynn Hulley, Martha Anderson, Christopher Hain, Andrew French, Eric Wood, Simon Hook

Research output: Contribution to journalArticlepeer-review

110 Scopus citations

Abstract

The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) was launched to the International Space Station on 29 June 2018 by the National Aeronautics and Space Administration (NASA). The primary science focus of ECOSTRESS is centered on evapotranspiration (ET), which is produced as Level-3 (L3) latent heat flux (LE) data products. These data are generated from the Level-2 land surface temperature and emissivity product (L2_LSTE), in conjunction with ancillary surface and atmospheric data. Here, we provide the first validation (Stage 1, preliminary) of the global ECOSTRESS clear-sky ET product (L3_ET_PT-JPL, Version 6.0) against LE measurements at 82 eddy covariance sites around the world. Overall, the ECOSTRESS ET product performs well against the site measurements (clear-sky instantaneous/time of overpass: r2 = 0.88; overall bias = 8%; normalized root-mean-square error, RMSE = 6%). ET uncertainty was generally consistent across climate zones, biome types, and times of day (ECOSTRESS samples the diurnal cycle), though temperate sites are overrepresented. The 70-m-high spatial resolution of ECOSTRESS improved correlations by 85%, and RMSE by 62%, relative to 1-km pixels. This paper serves as a reference for the ECOSTRESS L3 ET accuracy and Stage 1 validation status for subsequent science that follows using these data.

Original languageEnglish (US)
Article numbere2019WR026058
JournalWater Resources Research
Volume56
Issue number4
DOIs
StatePublished - Apr 1 2020

Bibliographical note

Funding Information:
Funding for AmeriFlux Management Project was provided by the U.S. Department of Energy's Office of Science under Contract N. DE‐AC02‐05CH11231. The funding by EU projects EUROFLUX, CARBOEUROFLUE, and CARBOEUROPE‐IP, by German BMBF project ICOS‐D and by the state of Saxony (TU Dresdon, LfULG) is greatly appreciated. USDA is an equal opportunity provider and employer. Funding for USDA authors comes from the ARS Office of National Programs (Projects 2036‐61000‐018‐00‐D, 8042‐13610‐029‐00‐D, 5012‐21000‐027‐00D, and 2020‐13660‐008‐00‐D). Y. T. was supported in part by NASA NEWS program Grant NNX15AT41G. The CCZO project was sponsored by NSF CZO program Grant EAR‐1331846. Research at the Yatir site is supported by the Israel Science Foundation, the Forestry Department, KKL, and the Wills and Lewis Center of the Weizmann Institute of Science, Israel. The US‐KON and US‐KFS Ameriflux sites are operated as a portion of the Konza Core Ameriflux site by NAB sponsored by the U.S. Department of Energy under a subcontract from DE‐AC02‐05CH11231. A. D. R. acknowledges support from the National Science Foundation (1637685). Research at the Bartlett Experimental Forest is supported by the USDA Forest Service's Northern Research Station. E. C. acknowledges data collection supported by AdaptMontBlanc project, cofunded by the European Regional Development Fund, under the operational program for territorial cooperation Italy‐France (ALCOTRA). A. S.‐A. acknowledges support from National Science and Engineering Research Council of Canada, Discovery Grant Program; Inter‐American Institute for Global Change Research (CRN3‐025); and Canadian Foundation for Innovation (CFI): Enviro‐Net: Sensing of Changing Environment. M. F. M. and B. A. acknowledge support by the King Abdullah University of Science and Technology (KAUST). L. Š., N. K., and L. F. were supported by the Ministry of Education, Youth and Sports of CR within the CzeCOS program, Grant LM2015061, and within the National Sustainability Program I (NPU I), Grant LO1415. A. R. D. acknowledges support from the DOE Ameriflux Network Management Project award made to the ChEAS core site cluster, NSF CHEESEHEAD (AGS‐1822420), the NSF North Temperate Lakes LTER (DEB‐1440297), the Wisconsin Potato and Vegetable Growers Association, and the Wisconsin Department of Natural Resources. E. S. R. acknowledges support from the USDA‐ARS supported Cook Agronomy Farm Long‐Term Agro‐ecosystem Research site. Data from the ne_waf and ne_wam stations (Niger) were collected in the framework of the AMMA‐CATCH observatory ( www.amma‐catch.org ), with funding from the French IRD, CNRS‐INSU, and OREME institutes. Additional funding was granted by the ANR‐Equipex CRITEX project (ANR‐11‐EQPX‐0011). J.‐P. Chazarin, A. Koné, A. Mamane, and M. Oï are thanked for their valuable technical contributions. M. A. A. acknowledges the Natural Sciences and Engineering Research Council (NSERC), Global Water Futures (GWF) Program, and the Ontario Ministry of Environment and Climate Change (MOECC), which supported CA‐TP1, CA‐TP3, CA‐TP4 and CA‐TPD sites. The US‐Hn1, US‐Hn2, and US‐Hn3 sites are supported by the U.S. Department of Energy (DOE) Office of Biological and Environmental Research (BER) as part of BER's Subsurface Biogeochemical Research Program (SBR) at the Pacific Northwest National Laboratory (PNNL). PNNL is operated by Battelle Memorial Institute for the U.S. DOE under Contract DE‐AC05‐76RLO1830. M. L. G. acknowledges funding from the National Science Foundation through the Southern Sierra Critical Zone Observatory (EAR‐1331939). The US‐KON and US‐KFS Ameriflux sites are operated as a portion of the Konza Core Ameriflux site by N. A. B. sponsored by the U.S. Department of Energy under a subcontract from DE‐AC02‐05CH11231. OzFlux data were provided through the Terrestrial Ecosystem Research Network (TERN), which is supported by the Australian government through the National Collaborative Research Infrastructure Strategy (NCRIS). KoFlux sites (CRK, GDK, GCK) were supported by National Research Foundation of Korea (NRF‐2016M1A3A3A02018195 and NRF‐2018R1C1B6002917) and Korea Forest Service (Korea Forestry Promotion Institute, Project 2017099A00‐1719‐BB01). M. S. acknowledges Terrestrial Environmental Observatories ( http://www.tereno.net/overview‐en?set_language=en ). R. M. acknowledges support by the Natural Environment Research Council Award NE/R016429/1 as part of the UK‐SCAPE program delivering National Capability. Texas Water Observatory is supported by Research Development Fund of Texas A&M University. C. E. M. and C. J. B. were partially funded by the DOE Center for Advanced Bioenergy and Bioproducts Innovation (U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research under Award DE‐SC0018420). Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the U.S. Department of Energy.

Publisher Copyright:
© 2020. The Authors.

Keywords

  • ECOSTRESS
  • eddy covariance
  • evapotranspiration
  • latent heat flux
  • satellite
  • validation

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