ICOS

FLUXCOM-X monthly gross primary productivity on global 0.05 degree grid for 2007

Download
2007-01-01–2007-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/AXAGY_9Q3Y0I5UCPUww0Bzto (link)

X-BASE GPP 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. The GPP estimates from the eddy covariance data was based on the Nighttime Partitioning method.

Published paper: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-165/

2007-01-01 00:00:00
2007-12-01 00:00:00
monthly
Fetching... try [refreshing the page] again in a few seconds
BibTex
Fetching... try [refreshing the page] again in a few seconds
RIS
Fetching... try [refreshing the page] again in a few seconds
GPP_2007_005_monthly.nc
421 MB (441079544 bytes)
3

Production

2023-11-10 11:00:00

Previewable variables

Name Value type Unit Quantity kind Preview
GPP gross primary productivity of carbon gC m-2 d-1 particle flux Preview

Statistics

206
0

Submission

2024-01-30 15:27:36
2024-01-30 15:22:37

Technical information

01700663ff50dd8d08e5408f530c34073b68a83023e69bb4a995fde9a8395e7c
AXAGY/9Q3Y0I5UCPUww0BztoqDAj5pu0qZX96ag5Xnw
S: -90, W: -180, N: 90, E: 180
BIOGEOCHEMICAL CYCLES CARBON ECOSYSTEM FUNCTIONS FLUXCOM FLUXCOM-X LAND SURFACE TERRESTRIAL ECOSYSTEMS VEGETATION biosphere modeling carbon flux