FLUXCOM-X monthly net ecosystem exchange on global 0.05 degree grid for 2020
Deprecated data
Latest version(s):
mmbysH89CA7s-0Zwza02cZ1y
11676/A_ugvZGQCnYqRx1zJ7HrW7Gr (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.
2020-01-01 12:00:00
2020-12-01 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 2020, Miscellaneous, https://hdl.handle.net/11676/A_ugvZGQCnYqRx1zJ7HrW7Gr
BibTex
@misc{https://hdl.handle.net/11676/A_ugvZGQCnYqRx1zJ7HrW7Gr, 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 2020}, 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/A_ugvZGQCnYqRx1zJ7HrW7Gr}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/A_ugvZGQCnYqRx1zJ7HrW7Gr} }
RIS
TY - DATA T1 - FLUXCOM-X monthly net ecosystem exchange on global 0.05 degree grid for 2020 ID - 11676/A_ugvZGQCnYqRx1zJ7HrW7Gr 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/A_ugvZGQCnYqRx1zJ7HrW7Gr 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_2020_005_monthly.nc
428 MB (449143454 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
1
0
Technical information
03fba0bd91900a762a471d7327b1eb5bb1ab7760d3b50da027529462ff160f03
A/ugvZGQCnYqRx1zJ7HrW7Grd2DTtQ2gJ1KUYv8WDwM
S: -90, W: -180, N: 90, E: 180
BIOGEOCHEMICAL CYCLES
CARBON
ECOSYSTEM FUNCTIONS
FLUXCOM
LAND SURFACE
TERRESTRIAL ECOSYSTEMS
VEGETATION
biosphere modeling
carbon flux