FLUXCOM-X monthly diurnal cycle of evapotranspiration on global 0.25 degree grid for 2017
Deprecated data
Latest version(s):
2h0iB2zUgJsy44DlXKgqG9yF
11676/RiMEsjqbn7z1cRBNwt4qCeIT (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.
2017-01-01 12:00:00
2017-12-01 12:00:00
hourly
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 evapotranspiration on global 0.25 degree grid for 2017, Miscellaneous, https://hdl.handle.net/11676/RiMEsjqbn7z1cRBNwt4qCeIT
BibTex
@misc{https://hdl.handle.net/11676/RiMEsjqbn7z1cRBNwt4qCeIT, 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 evapotranspiration on global 0.25 degree grid for 2017}, 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/RiMEsjqbn7z1cRBNwt4qCeIT}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/RiMEsjqbn7z1cRBNwt4qCeIT} }
RIS
TY - DATA T1 - FLUXCOM-X monthly diurnal cycle of evapotranspiration on global 0.25 degree grid for 2017 ID - 11676/RiMEsjqbn7z1cRBNwt4qCeIT 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/RiMEsjqbn7z1cRBNwt4qCeIT 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_2017_025_monthlycycle.nc
252 MB (264315177 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
462304b23a9b9fbcf571104dc2de2a09e21344b31331734a6ea6e443747d2265
RiMEsjqbn7z1cRBNwt4qCeITRLMTMXNKbqbkQ3R9ImU
S: -90, W: -180, N: 90, E: 180
BIOGEOCHEMICAL CYCLES
CARBON
ECOSYSTEM FUNCTIONS
FLUXCOM
LAND SURFACE
TERRESTRIAL ECOSYSTEMS
VEGETATION
biosphere modeling
carbon flux