FLUXCOM-X monthly evapotranspiration on global 0.5 degree grid for 2020
Deprecated data
Latest version(s):
9L6zqwQPYBeETakE8qihkrT2
11676/3p-3rLG9isOdocomIBpT5E-F (link)
X-BASE ET (Evapotranspiration) 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.
2020-01-01 12:00:00
2020-12-01 12:00:00
monthly
Gans, F., Duveiller, G., Hamdi, Z., Jung, M., Kraft, B., Nelson, J., Walther, S., Weber, U., Zhang, W. (2023). FLUXCOM-X monthly evapotranspiration on global 0.5 degree grid for 2020, Miscellaneous, https://hdl.handle.net/11676/3p-3rLG9isOdocomIBpT5E-F
BibTex
@misc{https://hdl.handle.net/11676/3p-3rLG9isOdocomIBpT5E-F, 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 evapotranspiration on global 0.5 degree grid for 2020}, year={2023}, note={X-BASE ET (Evapotranspiration) 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/11676/3p-3rLG9isOdocomIBpT5E-F}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/3p-3rLG9isOdocomIBpT5E-F} }
RIS
TY - DATA T1 - FLUXCOM-X monthly evapotranspiration on global 0.5 degree grid for 2020 ID - 11676/3p-3rLG9isOdocomIBpT5E-F PY - 2023 AB - X-BASE ET (Evapotranspiration) 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/11676/3p-3rLG9isOdocomIBpT5E-F 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 -
ET_2020_monthly_halfdeg.nc
5 MB (4982748 bytes)
3
Production
2023-06-16 00:00:00
Gregory Duveiller,
Zayd Hamdi,
Martin Jung,
Basil Kraft,
Jacob A. Nelson,
Sophia Walther,
Ulrich Weber,
Weijie Zhang
Previewable variables
Name | Value type | Unit | Quantity kind | Preview |
---|---|---|---|---|
ET | evapotranspiration | mm h-1 | particle flux | Preview |
Statistics
1
0
Technical information
de9fb7acb1bd8ac39da1ca26201a53e44f85e27d1212a2b82d02960bf8eeea9f
3p+3rLG9isOdocomIBpT5E+F4n0SEqK4LQKWC/ju6p8
S: -90, W: -180, N: 90, E: 180
BIOGEOCHEMICAL CYCLES
CARBON
ECOSYSTEM FUNCTIONS
FLUXCOM
LAND SURFACE
TERRESTRIAL ECOSYSTEMS
VEGETATION
biosphere modeling
carbon flux