Published October 5, 2021 | Version v1
Dataset Open

Dataset for the manuscript "Are remote sensing evapotranspiration models reliable 2 across South American ecoregions?" published in WRR

Creators

  • 1. D. C. D.
  • 2. J. A. A.
  • 3. V. P.
  • 4. D. G.
  • 5. B.
  • 6. J . B.
  • 7. R. L. B.
  • 8. A.
  • 9. O. M. R.
  • 10. T. R.
  • 11. C. M. S.
  • 12. A. A.
  • 13. M. S. B.
  • 14. T. V.
  • 15. S.
  • 16. J. S.
  • 17. R.
  • 18. A. C. D.
  • 19. D.
  • 20. M.
  • 21. J. F.
  • 22. L.
  • 23. J. R. S.
  • 24. E. S.
  • 25. M. I.
  • 26. C. F.
  • 27. N.
  • 28. G.
  • 29. P. T. S.
  • 30. E.

Description

Metadata of ‘Are remote sensing evapotranspiration models reliable across South American ecoregions?’  

This document describes the file formatting and data used to run and evaluate the evapotranspiration models in this study. Because forcing data varies among models, each input file contains a different set of meteorological data placed within a folder named after the corresponding model.

 

File format and time stamps

Data files are CSV formatted with timestamps in the first column of the file. The following timestamps are used:

  • GLEAM: Year (YYYY); Day of Year (DDD)
  • PT-JPL: Year (YYYY); Month (MM); Day (DD)
  • PM-MOD: Year (YYYY); Month (MM); Day (DD)
  • PM-VI: Date (MM/DD/YYYY)

 

Missing data

Missing data are reported using ‘NaN’ as a replacement flag. Data for all days in a leap year are reported. 

 

Data format

The column headers Name, Description and Units are adopted used in the data files to describe the following variables::

  • ETo, Penman-Monteith FAO-56 reference evapotranspiration (mm day-1);
  • ETobs, Observed evapotranspiration (mm day-1);
  • Rn, Surface Net Radiation (w m-2);
  • Rg, Daylight shortwave Incoming Radiation (w m-2);
  • Rgs_out, Shortwave Radiation - outgoing (w m-2);
  • G, Soil heat flux (w m-2);
  • P, Rainfall (mm day-1);
  • T, Surface Air Temperature (ºC);
  • Tmax, Maximum Temperature (ºC);
  • Tmin, Minimum Temperature (ºC);
  • Tday, Daytime Temperature (ºC);
  • TminDay, Daytime Minimum Temperature (ºC);
  • TminNight, Nighttime Minimum Temperature (ºC);
  • Patm, Atmospheric Air Pressure (Pa);
  • ea, Actual Vapor Pressure (kPa);
  • es, Saturation Vapor Pressure (kPa);
  • VPD, Vapor Pressure Deficit (kPa);
  • eaDay, Daytime Actual Vapor Pressure (kPa);
  • eaNight, Nighttime Actual Vapor Pressure (kPa);
  • RH, Air Relative Humidity;
  • RHDayTime, Daytime Air Relative Humidity;
  • RHNightTime, Nighttime Air Relative Humidity;
  • LAI, Leaf Area Index (m² m-²);
  • SWC, Soil Water Content (mm m-1).

 

Forcing data per model

Each model requires a different set of forcing data, as follows:

  • GLEAM: Rn, P, T, Rgs_out;
  • PT-JPL: Tmax, Rn, RH (or ea);
  • PM-MOD: Rg, Tday, TminDay, TminNight, RHDayTime, RHNighttime, eaDay, eaNight;
  • PM-VI: ETo.

 

Tower sites (IDs) and co-authors/PIs:

  • SDF: J. P. Quezada and M. Galleguillos;
  • TF1 and TF2: L. Kutzbach and D. Holl;
  • GRO and SLU: G. Posse;
  • BAL and MCC: M. Gassman and C. Perez;
  • PDG, EUC and USR: O. Cabral;
  • FM and SIN: J.S. Nogueira and T. Range;
  • CAA: M. Moura;
  • CST: A. C. D. Antonino;
  • SJO: E. S. Souza and J. R. S. Lima;
  • ESEC: B. Bezerra.

Notes

Funding for AmeriFlux data resources was provided by the U.S. Department of Energy's Office of Science. Davi de C. D. Melo was supported by the São Paulo State Research Foundation (FAPES) (grant 2016/23546-7) and by the Brazilian National Council for Scientific and Technological Development (CNPq) (project 409093/2018-1). Paulo Tarso S. Oliveira was supported by the Brazilian National Council for Scientific and Technological Development (CNPq) (grants 441289/2017-7 and 306830/2017-5) and the CAPES Print program. Rafael Rosolem would like to acknowledge the Brazilian Experimental datasets for MUlti-Scale interactions in the critical zone under Extreme Drought (BEMUSED) project [grant number NE/R004897/1] funded by the Natural Environment Research Council (NERC). Alvaro Moreno was financially supported by the NASA Earth Observing System MODIS project (grant NNX08AG87A) and the European Research Council (ERC) funding under the ERC Consolidator Grant 2014 SEDAL (Statistical Learning for Earth Observation Data Analysis, European Union) project under Grant Agreement 647423. Diego G. Miralles, Brecht Martens and Dominik Rains are supported by the European Research Council (ERC) DRY–2–DRY project (grant no. 715254) and the Belgian Science Policy Office (BELSPO) STEREO III ALBERI (grant no. SR/00/373) and ET–SENSE (grant. no SR/02/377) projects. Thiago R. Rodrigues was supported by the Brazilian National Council for Scientific and Technological Development (CNPq) with Bolsa de Produtividade em Pesquisa - PQ (Grant Number 308844/2018-1). Jorge Perez-Quezada and Mauricio Galleguillos were supported by the Chilean National Agency for Research and Development, grant FONDECYT 1211652. Rodolfo Nobrega and Anne Verhoef acknowledge support by the Newton/NERC/FAPESP Nordeste project: NE/N012488/1. Gabriela Posse acknowledges support by AERN 3632 and PNNAT 1128023 INTA Projects. Funding for site support: NPW tower: Brazilian National Institute for Science and Technology in Wetlands (INCT-INAU), Federal University of Mato Grosso (UFMT - PGFA and PGAT), University of Cuiabá (UNIC) and SESC-Pantanal; SDF tower: funded by the National Commission for Scientific and Technological Research (CONICYT, Chile) through grants FONDEQUIP AIC-37 and AFB170008 from the Associative Research Program. TF1 and TF2 towers: funded by the Deutsche Forschungsgemeinschaft (DFG) under Germany's Excellence Strategy – EXC 177 'CliSAP - Integrated Climate System Analysis and Prediction' – contributing to the Center for Earth System Research and Sustainability (CEN) of Universität Hamburg and by DFG project KU 1418/6-1. MCR and BAL towers: funded by the National Council for Scientific and Technological Research (CONICET, Argentina) grants PIP-11220100100044 and PIP-11220130100347CO, and by the National Agency for the Scientific and Technological Promotion (ANPCyT, Argentina) grant PICT 2010-0554. JBF contributed to this research at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. California Institute of Technology. Government sponsorship acknowledged. JBF was supported in part by NASA: ECOSTRESS and SUSMAP. Copyright 2021. All rights reserved. CAA, CST, and ESEC Towers: funded by National Observatory of Water and Carbon Dynamics in the Caatinga Biome (INCT-NOWCDCB), Federal University of Pernambuco (UFPE), FACEPE (Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco) through the Project Caatinga-FLUX APQ 0062-1.07/15.

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Additional details

Related works

Is supplement to
Preprint: 10.1002/essoar.10506923.1 (DOI)
Journal article: 10.1029/2020WR028752 (DOI)

Funding

UK Research and Innovation
"NORDESTE" NE/N012488/1
European Commission
DRY-2-DRY - Do droughts self-propagate and self-intensify? 715254
UK Research and Innovation
"Nordeste" NE/N012526/1
European Commission
SEDAL - Statistical Learning for Earth Observation Data Analysis. 647423
UK Research and Innovation
Brazilian Experimental datasets for MUlti-Scale interactions in the critical zone under Extreme Drought (BEMUSED) NE/R004897/1