2013•EGUGARequires access

Optimization of the process-based global model, ORCHIDEE, using multiple data streams (in-situ FluxNet NEE, LE and biomass, satellite NDVI, and atmospheric CO2 data)

Philippe Peylin, Natasha MacBean, Cédric Bacour, Sébastien Léonard, Fabienne Maignan, Sylvain Kuppel, Frédéric Chevallier, Philippe Ciais, Tea Thum

Open publisher page 1 citations

Abstract

This record does not include an abstract. Use the full-text link above if available.

About this research paper

What this paper is about

An abstract is not available in the OpenAlex record for this paper.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Key concepts: Normalized Difference Vegetation Index, FluxNet, Biosphere, Environmental science, Satellite, Remote sensing, Meteorology, Climatology

Related papers

Back to paper searchBrowse research topicsOriginal source
Optimization of the process-based global model, ORCHIDEE, using multiple data streams (in-situ FluxNet NEE, LE and biomass, satellite NDVI, and atmospheric CO2 data) — Research Paper | ScholarLens