ICOS

FLUXCOM-X daily net ecosystem exchange on global 0.25 degree grid for 2004

Download
2004-01-01–2004-12-30
10.18160/5NZG-JMJE (target, metadata)
11676/NkSmrs8t6eqTGoh2IB6nYL5B (link)

X-BASE NEE 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/

2004-01-01 00:00:00
2004-12-31 00:00:00
daily
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
NEE_2004_025_daily.nc
361 MB (378830880 bytes)
3

Production

2023-11-09 11:00:00

Previewable variables

Name Value type Unit Quantity kind Preview
NEE net ecosystem exchange of carbon gC m-2 d-1 particle flux Preview

Statistics

107
0

Submission

2024-01-30 15:52:24
2024-01-30 15:49:20

Technical information

3644a6aecf2de9ea931a8876201ea760be41ddefb6187f871774593982f71d3b
NkSmrs8t6eqTGoh2IB6nYL5B3e+2GH+HF3RZOYL3HTs
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