ICOS

FLUXCOM-X monthly diurnal cycle of gross primary productivity on global 0.25 degree grid for 2012

Download
2012-01-01–2012-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/yg3pD6irD1YxPxTkwstfjVYW (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/

2012-01-01 00:00:00
2012-12-01 00:00:00
hourly
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_2012_025_monthlycycle.nc
260 MB (272910957 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

113
0

Submission

2024-01-30 15:31:48
2024-01-30 15:22:41

Technical information

ca0de90fa8ab0f56313f14e4c2cb5f8d561682487a51c60df365ef6d131010f9
yg3pD6irD1YxPxTkwstfjVYWgkh6UcYN82XvbRMQEPk
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