FLUXCOM-X daily net ecosystem exchange on global 0.25 degree grid for 2019
11676/w24cq1kTO4O3VWBPXST8zI9s (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.
2019-01-01 12:00:00
2019-12-31 12:00:00
daily
Gans, F., Duveiller, G., Hamdi, Z., Jung, M., Kraft, B., Nelson, J., Walther, S., Weber, U., Zhang, W. (2023). FLUXCOM-X daily net ecosystem exchange on global 0.25 degree grid for 2019, Miscellaneous, https://hdl.handle.net/11676/w24cq1kTO4O3VWBPXST8zI9s
BibTex
@misc{https://hdl.handle.net/11676/w24cq1kTO4O3VWBPXST8zI9s, 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 daily net ecosystem exchange on global 0.25 degree grid for 2019}, 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/w24cq1kTO4O3VWBPXST8zI9s}, publisher={Carbon Portal}, copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence}, pid={11676/w24cq1kTO4O3VWBPXST8zI9s} }
RIS
TY - DATA T1 - FLUXCOM-X daily net ecosystem exchange on global 0.25 degree grid for 2019 ID - 11676/w24cq1kTO4O3VWBPXST8zI9s 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/w24cq1kTO4O3VWBPXST8zI9s 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_2019_025_daily.nc
362 MB (379208351 bytes)
3
Production
2023-06-21 00:00:00
Basil Kraft,
Gregory Duveiller,
Jacob A. Nelson,
Martin Jung,
Sophia Walther,
Ulrich Weber,
Weijie Zhang,
Zayd Hamdi
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
c36e1cab59133b83b755604f5d24fccc8f6c51db3473dd4932a99ff49e507901
w24cq1kTO4O3VWBPXST8zI9sUds0c91JMqmf9J5QeQE
S: -90, W: -180, N: 90, E: 180
BIOGEOCHEMICAL CYCLES
CARBON
ECOSYSTEM FUNCTIONS
FLUXCOM
LAND SURFACE
TERRESTRIAL ECOSYSTEMS
VEGETATION
biosphere modeling
carbon flux