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FLUXCOM-X daily net ecosystem exchange on global 0.25 degree grid for 2019

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X-BASE NEE (Net Ecosystem Exchange) is based on the FLUXCOM-X framework which trains machine learning models on in-situ eddy covariance data and uses them to produce this global product. The X-BASE experiment is a basic configuration to serve as a baseline for the FLUXCOM-X framework and includes as predictors the core meteorlogical data, plant functional type classification as well as MODIS based vegitation indicies and land surface temperature. XGBoost was used as the machine learning algorithm.
2019-01-01 12:00:00
2019-12-31 12:00:00
daily
Gans, F., Duveiller, G., Hamdi, Z., Jung, M., Kraft, B., Nelson, J., Walther, S., Weber, U., Zhang, W. (2023). FLUXCOM-X daily net ecosystem exchange on global 0.25 degree grid for 2019, Miscellaneous, https://hdl.handle.net/11676/w24cq1kTO4O3VWBPXST8zI9s
BibTex
@misc{https://hdl.handle.net/11676/w24cq1kTO4O3VWBPXST8zI9s,
  author={Gans, Fabian and Duveiller, Gregory and Hamdi, Zayd and Jung, Martin and Kraft, Basil and Nelson, Jacob A. and Walther, Sophia and Weber, Ulrich and Zhang, Weijie},
  title={FLUXCOM-X daily net ecosystem exchange on global 0.25 degree grid for 2019},
  year={2023},
  note={X-BASE NEE (Net Ecosystem Exchange) is based on the FLUXCOM-X framework which trains machine learning models on in-situ eddy covariance data and uses them to produce this global product. The X-BASE experiment is a basic configuration to serve as a baseline for the FLUXCOM-X framework and includes as predictors the core meteorlogical data, plant functional type classification as well as MODIS based vegitation indicies and land surface temperature. XGBoost was used as the machine learning algorithm.},
  keywords={BIOGEOCHEMICAL CYCLES, ECOSYSTEM FUNCTIONS, TERRESTRIAL ECOSYSTEMS, VEGETATION, CARBON, LAND SURFACE, FLUXCOM},
  url={https://hdl.handle.net/11676/w24cq1kTO4O3VWBPXST8zI9s},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/w24cq1kTO4O3VWBPXST8zI9s}
}
RIS
TY - DATA
T1 - FLUXCOM-X daily net ecosystem exchange on global 0.25 degree grid for 2019
ID - 11676/w24cq1kTO4O3VWBPXST8zI9s
PY - 2023
AB - X-BASE NEE (Net Ecosystem Exchange) is based on the FLUXCOM-X framework which trains machine learning models on in-situ eddy covariance data and uses them to produce this global product. The X-BASE experiment is a basic configuration to serve as a baseline for the FLUXCOM-X framework and includes as predictors the core meteorlogical data, plant functional type classification as well as MODIS based vegitation indicies and land surface temperature. XGBoost was used as the machine learning algorithm.
UR - https://hdl.handle.net/11676/w24cq1kTO4O3VWBPXST8zI9s
PB - Carbon Portal
AU - Gans, Fabian
AU - Duveiller, Gregory
AU - Hamdi, Zayd
AU - Jung, Martin
AU - Kraft, Basil
AU - Nelson, Jacob A.
AU - Walther, Sophia
AU - Weber, Ulrich
AU - Zhang, Weijie
KW - BIOGEOCHEMICAL CYCLES
KW - ECOSYSTEM FUNCTIONS
KW - TERRESTRIAL ECOSYSTEMS
KW - VEGETATION
KW - CARBON
KW - LAND SURFACE
KW - FLUXCOM
ER - 
NEE_2019_025_daily.nc
362 MB (379208351 bytes)
3

Production

2023-06-21 00:00:00

Previewable variables

Name Value type Unit Quantity kind Preview
NEE net ecosystem exchange of carbon gC m-2 d-1 particle flux Preview

Statistics

1
0

Submission

2023-07-25 12:05:48
2023-07-25 11:53:28

Technical information

c36e1cab59133b83b755604f5d24fccc8f6c51db3473dd4932a99ff49e507901
w24cq1kTO4O3VWBPXST8zI9sUds0c91JMqmf9J5QeQE
S: -90, W: -180, N: 90, E: 180
BIOGEOCHEMICAL CYCLES CARBON ECOSYSTEM FUNCTIONS FLUXCOM LAND SURFACE TERRESTRIAL ECOSYSTEMS VEGETATION biosphere modeling carbon flux