ICOS

FLUXCOM-X monthly net ecosystem exchange on global 0.5 degree grid for 2021

Download
2021-01-01–2021-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/KMyODAVLqi5m-okSVbKPdG_u (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/

2021-01-01 00:00:00
2021-12-01 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_2021_050_monthly.nc
5 MB (5195428 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

146
67

Submission

2024-01-30 16:05:39
2024-01-30 15:49:34

Technical information

28cc8e0c054baa2e66fa891255b28f746fee9b0a3ae606898734af16f6d5ffea
KMyODAVLqi5m+okSVbKPdG/umwo65gaJhzSvFvbV/+o
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