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FLUXCOM-X monthly diurnal cycle of net ecosystem exchange on global 0.25 degree grid for 2014

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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.

2014-01-01 12:00:00
2014-12-01 12:00:00
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Gans, F., Duveiller, G., Hamdi, Z., Jung, M., Kraft, B., Nelson, J., Walther, S., Weber, U., Zhang, W. (2023). FLUXCOM-X monthly diurnal cycle of net ecosystem exchange on global 0.25 degree grid for 2014, Miscellaneous, https://hdl.handle.net/11676/1qIO11P8pnwOT9Wbv93tZsuh
BibTex
@misc{https://hdl.handle.net/11676/1qIO11P8pnwOT9Wbv93tZsuh,
  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 monthly diurnal cycle of net ecosystem exchange on global 0.25 degree grid for 2014},
  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/11676/1qIO11P8pnwOT9Wbv93tZsuh},
  publisher={Carbon Portal},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/1qIO11P8pnwOT9Wbv93tZsuh}
}
RIS
TY - DATA
T1 - FLUXCOM-X monthly diurnal cycle of net ecosystem exchange on global 0.25 degree grid for 2014
ID - 11676/1qIO11P8pnwOT9Wbv93tZsuh
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/11676/1qIO11P8pnwOT9Wbv93tZsuh
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_2014_025_monthlycycle.nc
258 MB (270123924 bytes)
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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

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Submission

2023-07-25 12:02:40
2023-07-25 11:53:25

Technical information

d6a20ed753fca67c0e4fd59bbfdded66cba124b3218a2e99c9770af6cb375e3e
1qIO11P8pnwOT9Wbv93tZsuhJLMhii6ZyXcK9ss3Xj4
S: -90, W: -180, N: 90, E: 180
BIOGEOCHEMICAL CYCLES CARBON ECOSYSTEM FUNCTIONS FLUXCOM LAND SURFACE TERRESTRIAL ECOSYSTEMS VEGETATION biosphere modeling carbon flux