FLUXCOM-X monthly evapotranspiration on global 0.05 degree grid for 2013
Deprecated data
Latest version(s):
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11676/8n642VCBcWi35PIq9d6C91S- (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.
2013-01-01 12:00:00
2013-12-01 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 0.05 degree grid for 2013, Miscellaneous, https://hdl.handle.net/11676/8n642VCBcWi35PIq9d6C91S-
BibTex
@misc{https://hdl.handle.net/11676/8n642VCBcWi35PIq9d6C91S-, 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 0.05 degree grid for 2013}, 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/11676/8n642VCBcWi35PIq9d6C91S-}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/8n642VCBcWi35PIq9d6C91S-} }
RIS
TY - DATA T1 - FLUXCOM-X monthly evapotranspiration on global 0.05 degree grid for 2013 ID - 11676/8n642VCBcWi35PIq9d6C91S- 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/11676/8n642VCBcWi35PIq9d6C91S- 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_2013_005_monthly.nc
413 MB (433554524 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
0
0
Technical information
f27eb8d950817168b7e4f22af5de82f754beff219c262a68b047254911329800
8n642VCBcWi35PIq9d6C91S+/yGcJiposEclSREymAA
S: -90, W: -180, N: 90, E: 180
BIOGEOCHEMICAL CYCLES
CARBON
ECOSYSTEM FUNCTIONS
FLUXCOM
LAND SURFACE
TERRESTRIAL ECOSYSTEMS
VEGETATION
biosphere modeling
carbon flux