Hybrid predictive modeling approach simulated evapotranspiration and ecosystem respiration data

Chen, Jiancong; Dafflon, Baptiste; Tran, Anh; Falco, Nicola; Hubbard, Susan

doi:10.15485/1633810

Title: Hybrid predictive modeling approach simulated evapotranspiration and ecosystem respiration data

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Abstract

This dataset includes measured data used for developing hybrid-predictive-modeling (HPM) approach and simulated evapotranspiration and ecosystem respiration data across several Fluxnet sites, SNOTEL sites and East River locations (Chen et al., 2020 in review). Fluxnet sites considered in this study include: CA-OAS, CA-OBS, US-NR1, US-TON, US-VAR, US-SRM, US-WHS, US-WKG. Snotel sites Butte (ER-BT), Porphyry Creek (ER-PK) and Schofield Pass (ER-SP) are included as well 16 east river locations with different vegetation types denoted by evergreen forests (EF), deciduous forests (DF), riparian shrublands (RS) and meadow grassland (MS). This data package includes: 1) A summary spread sheet of the sites and acronyms for data variables. 2) Processed Fluxnet datasets that are obtained from Fluxnet.fluxdata.org with HPM estimated evapotranspiration (ET) and ecosystem respiration (RECO). Trained models and metrics for parameters for the Fluxnet sites were added in an update on November 2, 2020; 3) Processed SNOTEL datasets obtained from www.nrcs.usda.gov/snow/ and HPM estimated ET and RECO; 4) Weather data at east river locations obtained from DAYMET (daymet.ornl.gov) as well as HPM estimated ET and RECO. NDVI datasets are obtained from Landsat 5, 7 and 8 on Google Earth Engine platform. Detailed QA/QC and sampling methods of measured data are available at themore » original data source.« less

Authors:

;

; Tran, Anh;

;

Lawrence Berkeley National Laboratory; Lawrence Berkeley National Laboratory
Lawrence Berkeley National Laboratory

Publication Date:: Tue Dec 31 23:00:00 EST 2019

Other Number(s):: paf_459

Research Org.:: Environmental System Science Data Infrastructure for a Virtual Ecosystem; Watershed Function SFA

Sponsoring Org.:: U.S. DOE > Office of Science > Biological and Environmental Research (BER)

Subject:: 54 ENVIRONMENTAL SCIENCES; Carbon Fluxes; Meteorology; NDVI; Normalized difference vegetation index (NDVI); Snow Telemetry (SNOTEL); climate forcing; ecosystem respiration; evapotranspiration

OSTI Identifier:: 1633810

DOI:: https://doi.org/10.15485/1633810

Citation Formats


                    Chen, Jiancong, Dafflon, Baptiste, Tran, Anh, Falco, Nicola, and Hubbard, Susan. Hybrid predictive modeling approach simulated evapotranspiration and ecosystem respiration data.  United States: N. p., 2019. 
        Web.  doi:10.15485/1633810.

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                    Chen, Jiancong, Dafflon, Baptiste, Tran, Anh, Falco, Nicola, & Hubbard, Susan. Hybrid predictive modeling approach simulated evapotranspiration and ecosystem respiration data.  United States.  doi:https://doi.org/10.15485/1633810

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                    Chen, Jiancong, Dafflon, Baptiste, Tran, Anh, Falco, Nicola, and Hubbard, Susan. 2019.  
"Hybrid predictive modeling approach simulated evapotranspiration and ecosystem respiration data".  United States.  doi:https://doi.org/10.15485/1633810.  https://www.osti.gov/servlets/purl/1633810. Pub date:Tue Dec 31 23:00:00 EST 2019

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@article{osti_1633810,

  title        = {Hybrid predictive modeling approach simulated evapotranspiration and ecosystem respiration data},

  author       = {Chen, Jiancong and Dafflon, Baptiste and Tran, Anh and Falco, Nicola and Hubbard, Susan},

  abstractNote = {This dataset includes measured data used for developing hybrid-predictive-modeling (HPM) approach and simulated evapotranspiration and ecosystem respiration data across several Fluxnet sites, SNOTEL sites and East River locations (Chen et al., 2020 in review). Fluxnet sites considered in this study include: CA-OAS, CA-OBS, US-NR1, US-TON, US-VAR, US-SRM, US-WHS, US-WKG. Snotel sites Butte (ER-BT), Porphyry Creek (ER-PK) and Schofield Pass (ER-SP) are included as well 16 east river locations with different vegetation types denoted by evergreen forests (EF), deciduous forests (DF), riparian shrublands (RS) and meadow grassland (MS). This data package includes: 1) A summary spread sheet of the sites and acronyms for data variables. 2) Processed Fluxnet datasets that are obtained from Fluxnet.fluxdata.org with HPM estimated evapotranspiration (ET) and ecosystem respiration (RECO). Trained models and metrics for parameters for the Fluxnet sites were added in an update on November 2, 2020; 3) Processed SNOTEL datasets obtained from www.nrcs.usda.gov/snow/ and HPM estimated ET and RECO; 4) Weather data at east river locations obtained from DAYMET (daymet.ornl.gov) as well as HPM estimated ET and RECO. NDVI datasets are obtained from Landsat 5, 7 and 8 on Google Earth Engine platform. Detailed QA/QC and sampling methods of measured data are available at the original data source.},

  doi          = {10.15485/1633810},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Tue Dec 31 23:00:00 EST 2019},

  month        = {Tue Dec 31 23:00:00 EST 2019}

}

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DOI: https://doi.org/10.15485/1633810

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