ICOS

FLUXCOM-X monthly net ecosystem exchange on global 0.5 degree grid for 2005

Download
2005-01-01–2005-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/CJ4_C6VyVIxiGzkWpt0ECE5a (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/

2005-01-01 00:00:00
2005-12-01 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
NEE_2005_050_monthly.nc
5 MB (5187470 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

139
0

Submission

2024-01-30 15:53:24
2024-01-30 15:49:21

Technical information

089e3f0ba572548c621b3916a6dd04084e5a0bfc992ea8df1ae123812f2cee01
CJ4/C6VyVIxiGzkWpt0ECE5aC/yZLqjfGuEjgS8s7gE
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