FLUXCOM-X monthly net ecosystem exchange on global 0.05 degree grid for 2013
Deprecated data
Latest version(s):
A6_a_wFLy8WClGKT2RXzn4K8
11676/JdJ0-qI2TjRB9O_vP578SR-v (link)
X-BASE NEE (Net Ecosystem Exchange) 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 net ecosystem exchange on global 0.05 degree grid for 2013, Miscellaneous, https://hdl.handle.net/11676/JdJ0-qI2TjRB9O_vP578SR-v
BibTex
@misc{https://hdl.handle.net/11676/JdJ0-qI2TjRB9O_vP578SR-v, 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 net ecosystem exchange on global 0.05 degree grid for 2013}, year={2023}, note={X-BASE NEE (Net Ecosystem Exchange) 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/JdJ0-qI2TjRB9O_vP578SR-v}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/JdJ0-qI2TjRB9O_vP578SR-v} }
RIS
TY - DATA T1 - FLUXCOM-X monthly net ecosystem exchange on global 0.05 degree grid for 2013 ID - 11676/JdJ0-qI2TjRB9O_vP578SR-v PY - 2023 AB - X-BASE NEE (Net Ecosystem Exchange) 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/JdJ0-qI2TjRB9O_vP578SR-v 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 -
NEE_2013_005_monthly.nc
427 MB (447347012 bytes)
3
Production
2023-06-21 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 |
---|---|---|---|---|
NEE | net ecosystem exchange of carbon | gC m-2 d-1 | particle flux | Preview |
Statistics
0
0
Technical information
25d274faa2364e3441f4efef3f9efc491faffb9f0d36944a487aaea1cdd8cb02
JdJ0+qI2TjRB9O/vP578SR+v+58NNpRKSHquoc3YywI
S: -90, W: -180, N: 90, E: 180
BIOGEOCHEMICAL CYCLES
CARBON
ECOSYSTEM FUNCTIONS
FLUXCOM
LAND SURFACE
TERRESTRIAL ECOSYSTEMS
VEGETATION
biosphere modeling
carbon flux