Development and evaluation of the ECHAM6-iMAPLE v1.0 coupled atmosphere–ecosystem model
- 1Nanjing University of Information Science and Technology (Nanjing, China)
Abstract
Land–atmosphere interactions play a fundamental role in regulating climate variability, ecosystem productivity, and air quality through coupled exchanges of energy, water, carbon, and reactive trace gases. However, many Earth system models adopt simplified representations of vegetation physiological processes, leading to biases in terrestrial carbon and water fluxes and increased uncertainties in climate simulations. Here, we present ECHAM6-iMAPLE v1.0, a newly coupled modeling framework that integrates the interactive Model for Air Pollution and Land Ecosystems (iMAPLE v1.0) into the ECHAM6 atmospheric general circulation model, replacing carbon and water fluxes simulated by the original JSBACH vegetation module. The coupled model is evaluated against reanalysis, benchmark, and satellite datasets. Compared with the original ECHAM6–JSBACH configuration, ECHAM6-iMAPLE substantially improves simulations of gross primary productivity, evapotranspiration, and leaf area index, capturing their spatial distributions and seasonal cycles more reasonably. These improvements arise from well-constrained physiological parameters calibrated using extensive site-level observations and a more realistic representation of key biophysical processes in iMAPLE. With improved carbon and water fluxes, simulations of soil temperature, soil moisture, and surface air temperature show reduced root mean square errors. Overall, evaluations demonstrate that ECHAM6-iMAPLE provides a useful tool for investigating atmosphere–ecosystem interactions and their implications for future climate change projections.
Versions
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BibTeX
@article{fu2026development,
title = {{Development and evaluation of the ECHAM6-iMAPLE v1.0 coupled atmosphere–ecosystem model}},
author = {Weijie Fu and Chenguang Tian and Yuan Zhao and Yihan Hu and Jingchao Huang and Haishan Chen and Xu Yue},
journal = {Geoscientific Model Development},
year = {2026},
month = oct,
doi = {10.5194/gmd-19-9395-2026},
url = {https://gmd.copernicus.org/articles/19/9395/2026/},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Development and evaluation of the ECHAM6-iMAPLE v1.0 coupled atmosphere–ecosystem model
AU - Weijie Fu
AU - Chenguang Tian
AU - Yuan Zhao
AU - Yihan Hu
AU - Jingchao Huang
AU - Haishan Chen
AU - Xu Yue
PY - 2026
DA - 2026/10/06
JO - Geoscientific Model Development
DO - 10.5194/gmd-19-9395-2026
UR - https://gmd.copernicus.org/articles/19/9395/2026/
AB - Land–atmosphere interactions play a fundamental role in regulating climate variability, ecosystem productivity, and air quality through coupled exchanges of energy, water, carbon, and reactive trace gases. However, many Earth system models adopt simplified representations of vegetation physiological processes, leading to biases in terrestrial carbon and water fluxes and increased uncertainties in climate simulations. Here, we present ECHAM6-iMAPLE v1.0, a newly coupled modeling framework that integrates the interactive Model for Air Pollution and Land Ecosystems (iMAPLE v1.0) into the ECHAM6 atmospheric general circulation model, replacing carbon and water fluxes simulated by the original JSBACH vegetation module. The coupled model is evaluated against reanalysis, benchmark, and satellite datasets. Compared with the original ECHAM6–JSBACH configuration, ECHAM6-iMAPLE substantially improves simulations of gross primary productivity, evapotranspiration, and leaf area index, capturing their spatial distributions and seasonal cycles more reasonably. These improvements arise from well-constrained physiological parameters calibrated using extensive site-level observations and a more realistic representation of key biophysical processes in iMAPLE. With improved carbon and water fluxes, simulations of soil temperature, soil moisture, and surface air temperature show reduced root mean square errors. Overall, evaluations demonstrate that ECHAM6-iMAPLE provides a useful tool for investigating atmosphere–ecosystem interactions and their implications for future climate change projections.
SN - 1991-9603
ER -