FLUXCOM-X monthly evapotranspiration on global 0.05 degree grid for 2017
Deprecated data
Latest version(s):
pyVNNwYMUwGawaCUxUhWFY0x
11676/9j9674C2JJg3feg4t-61J6ig (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
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 2017, Miscellaneous, https://hdl.handle.net/11676/9j9674C2JJg3feg4t-61J6ig
BibTex
@misc{https://hdl.handle.net/11676/9j9674C2JJg3feg4t-61J6ig, 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 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/11676/9j9674C2JJg3feg4t-61J6ig}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/9j9674C2JJg3feg4t-61J6ig} }
RIS
TY - DATA T1 - FLUXCOM-X monthly evapotranspiration on global 0.05 degree grid for 2017 ID - 11676/9j9674C2JJg3feg4t-61J6ig 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/11676/9j9674C2JJg3feg4t-61J6ig 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_005_monthly.nc
415 MB (434790539 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
f63f7aef80b62498377de838b7eeb527a8a02b3e7525d968ab127810ccba06f4
9j9674C2JJg3feg4t+61J6igKz51JdloqxJ4EMy6BvQ
S: -90, W: -180, N: 90, E: 180
BIOGEOCHEMICAL CYCLES
CARBON
ECOSYSTEM FUNCTIONS
FLUXCOM
LAND SURFACE
TERRESTRIAL ECOSYSTEMS
VEGETATION
biosphere modeling
carbon flux