ICOS

FLUXCOM-X daily net ecosystem exchange on global 0.25 degree grid for 2002

Download
2002-01-01–2002-12-30
10.18160/5NZG-JMJE (target, metadata)
11676/Zn7-i-I04QDGS0Ii7_X3lZw8 (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/

2002-01-01 00:00:00
2002-12-31 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_2002_025_daily.nc
367 MB (384681124 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

115
0

Submission

2024-01-30 15:50:52
2024-01-30 15:49:18

Technical information

667efe8be234e100c64b4222eff5f7959c3c47a81737ce7428de7e7d925593da
Zn7+i+I04QDGS0Ii7/X3lZw8R6gXN850KN5+fZJVk9o
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