% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Fisher:875192,
      author       = {Fisher, Joshua B. and Lee, Brian and Purdy, Adam J. and
                      Halverson, Gregory H. and Dohlen, Matthew B. and
                      Cawse‐Nicholson, Kerry and Wang, Audrey and Anderson, Ray
                      G. and Aragon, Bruno and Arain, M. Altaf and Baldocchi,
                      Dennis D. and Baker, John M. and Barral, Hélène and
                      Bernacchi, Carl J. and Bernhofer, Christian and Biraud,
                      Sébastien C. and Bohrer, Gil and Brunsell, Nathaniel and
                      Cappelaere, Bernard and Castro‐Contreras, Saulo and Chun,
                      Junghwa and Conrad, Bryan J. and Cremonese, Edoardo and
                      Demarty, Jérôme and Desai, Ankur R. and De Ligne, Anne and
                      Foltýnová, Lenka and Goulden, Michael L. and Griffis,
                      Timothy J. and Grünwald, Thomas and Johnson, Mark S. and
                      Kang, Minseok and Kelbe, Dave and Kowalska, Natalia and Lim,
                      Jong‐Hwan and Maïnassara, Ibrahim and McCabe, Matthew F.
                      and Missik, Justine E. C. and Mohanty, Binayak P. and Moore,
                      Caitlin E. and Morillas, Laura and Morrison, Ross and
                      Munger, J. William and Posse, Gabriela and Richardson,
                      Andrew D. and Russell, Eric S. and Ryu, Youngryel and
                      Sanchez‐Azofeifa, Arturo and Schmidt, Marius and Schwartz,
                      Efrat and Sharp, Iain and Šigut, Ladislav and Tang, Yao and
                      Hulley, Glynn and Anderson, Martha and Hain, Christopher and
                      French, Andrew and Wood, Eric and Hook, Simon},
      title        = {{ECOSTRESS}: {NASA}'s {N}ext {G}eneration {M}ission to
                      {M}easure {E}vapotranspiration {F}rom the {I}nternational
                      {S}pace {S}tation},
      journal      = {Water resources research},
      volume       = {56},
      number       = {4},
      issn         = {1944-7973},
      address      = {[New York]},
      publisher    = {Wiley},
      reportid     = {FZJ-2020-01862},
      pages        = {e2019WR026058},
      year         = {2020},
      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.},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255)},
      pid          = {G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000538987800040},
      doi          = {10.1029/2019WR026058},
      url          = {https://juser.fz-juelich.de/record/875192},
}