From site-level to global simulation: Reconciling carbon, water and energy fluxes over different spatial scales using a process-based ecophysiological land-surface model-Reference-Cited by-同舟云学术

From site-level to global simulation: Reconciling carbon, water and energy fluxes over different spatial scales using a process-based ecophysiological land-surface model

Published:2013-07 Issue: Volume:176 Page:111-124
ISSN:0168-1923
Container-title:Agricultural and Forest Meteorology
language:en
Short-container-title:Agricultural and Forest Meteorology

Author:

Alton Paul B.

Publisher

Elsevier BV

Subject

Atmospheric Science,Agronomy and Crop Science,Global and Planetary Change,Forestry

Reference72 articles.

1. Agarwal, D. (Ed.), 2012. Biological and Ancillary Data for FLUXNET sites. Data set. Available on-line [http://www.fluxdata.org].

2. Improved global simulations of Gross Primary Product based on a separate and explicit treatment of diffuse and direct sunlight;Alton;J. Geophys. Res.,2007

3. A comparative study of a multilayer and a productivity (light-use) efficiency land-surface model over different temporal scales;Alton;Agric. For. Meteorol.,2010

4. Seasonal drought stress in the Amazon: reconciling models and observations;Baker;J. Geophys. Res.,2008

5. A model predicting stomatal conductance and its contribution to the control of photosynthesis under different environmental conditions;Ball,1987

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Stepwise Calibration of Age‐Dependent Biomass in the Integrated Biosphere Simulator (IBIS) Model;Journal of Advances in Modeling Earth Systems;2024-06

2. A coupled hourly water-carbon flux model at plot and field scales for water-saving irrigated rice paddy;Agricultural Water Management;2024-03

3. Pixel-level parameter optimization of a terrestrial biosphere model for improving estimation of carbon fluxes with an efficient model–data fusion method and satellite-derived LAI and GPP data;Geoscientific Model Development;2022-09-02

4. Representativeness of global climate and vegetation by carbon-monitoring networks; implications for estimates of gross and net primary productivity at biome and global levels;Agricultural and Forest Meteorology;2020-08

5. Variable Atmospheric, Canopy, and Soil Effects on Energy and Carbon Fluxes over Crops;Improving Modeling Tools to Assess Climate Change Effects on Crop Response;2016-12-12