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Improving the IsbaCc Land Surface Model Simulation of Water and Carbon Fluxes and Stocks Over the Amazon Forest : Volume 8, Issue 2 (11/02/2015)

By Joetzjer, E.

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Book Id: WPLBN0004009820
Format Type: PDF Article :
File Size: Pages 44
Reproduction Date: 2015

Title: Improving the IsbaCc Land Surface Model Simulation of Water and Carbon Fluxes and Stocks Over the Amazon Forest : Volume 8, Issue 2 (11/02/2015)  
Author: Joetzjer, E.
Volume: Vol. 8, Issue 2
Language: English
Subject: Science, Geoscientific, Model
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


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Carrer, D., Douville, H., Delire, C., Ciais, P., Bonal, D., Decharme, B.,...Weirdt, M. D. (2015). Improving the IsbaCc Land Surface Model Simulation of Water and Carbon Fluxes and Stocks Over the Amazon Forest : Volume 8, Issue 2 (11/02/2015). Retrieved from

Description: CNRM-GAME, Groupe d'étude de l'atmosphère météorologique, Joint Unit CNRS/Meteo-France (UMR3589), av. Coriolis, 31057 Toulouse, France. We evaluate the ISBACC land surface model over the Amazon forest, and propose a revised parameterization of photosynthesis, including new soil water stress and autotrophic respiration functions. The revised version allows the model to better capture the energy, water and carbon fluxes when compared to five Amazonian fluxtowers. The performance of ISBACC is slightly site-dependent but similar to the widely evaluated land surface model ORCHIDEE, based on different assumptions. Changes made to the autotrophic respiration functions, including a vertical profile of leaf respiration, leads to simulate yearly carbon use efficiency and carbon stocks consistent with an ecophysiological meta analysis conducted on three Amazonian sites. Despite these major improvements, ISBACC struggles to capture the apparent seasonality of the carbon fluxes derived from the fluxtower estimations. However, there is still no consensus on the seasonality of carbon fluxes over the Amazon, stressing a need for more observations as well as a better understanding of the main drivers of autotrophic respiration.

Improving the ISBACC land surface model simulation of water and carbon fluxes and stocks over the Amazon forest

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