FLUXCOM-X monthly evapotranspiration on global 0.5 degree grid for 2019
Deprecated data
Latest version(s):
UcNnInhqhJmId-2Xhv8yXgkb
11676/Wj25wdkGRv49LXqfktisf7RG (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.
2019-01-01 12:00:00
2019-12-01 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 2019, Miscellaneous, https://hdl.handle.net/11676/Wj25wdkGRv49LXqfktisf7RG
BibTex
@misc{https://hdl.handle.net/11676/Wj25wdkGRv49LXqfktisf7RG, 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 2019}, 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/Wj25wdkGRv49LXqfktisf7RG}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/Wj25wdkGRv49LXqfktisf7RG} }
RIS
TY - DATA T1 - FLUXCOM-X monthly evapotranspiration on global 0.5 degree grid for 2019 ID - 11676/Wj25wdkGRv49LXqfktisf7RG 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/Wj25wdkGRv49LXqfktisf7RG 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_2019_monthly_halfdeg.nc
5 MB (4982746 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
5a3db9c1d90646fe3d2d7a9f92d8ac7fb4461069ba1f2cf518e5c13806a0039d
Wj25wdkGRv49LXqfktisf7RGEGm6Hyz1GOXBOAagA50
S: -90, W: -180, N: 90, E: 180
BIOGEOCHEMICAL CYCLES
CARBON
ECOSYSTEM FUNCTIONS
FLUXCOM
LAND SURFACE
TERRESTRIAL ECOSYSTEMS
VEGETATION
biosphere modeling
carbon flux