Global sensitivity analysis, probabilistic calibration, and predictive assessment for the data assimilation linked ecosystem carbon model
نویسندگان
چکیده
منابع مشابه
Tipping Points for Forests, Using the Data Assimilation Linked Ecosystem Carbon Model, DALEC
Due to changes in our climate and environment, partly caused by human behaviour, it is becoming increasingly important to understand the processes involved in Earth systems, such as the carbon cycle. There are many models that attempt to describe the dynamical behaviour of carbon stocks and stores, but, despite their complexity in attempting to describe all crucial processes, significant uncert...
متن کاملA dynamical systems analysis of the data assimilation linked ecosystem carbon (DALEC) models.
Changes in our climate and environment make it ever more important to understand the processes involved in Earth systems, such as the carbon cycle. There are many models that attempt to describe and predict the behaviour of carbon stocks and stores but, despite their complexity, significant uncertainties remain. We consider the qualitative behaviour of one of the simplest carbon cycle models, t...
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Efficient parameter identification is an important issue for mechanistic agro-hydrological models with a complex and nonlinear property. In this study, we presented an efficient global methodology of sensitivity analysis and parameter estimation for a physically-based agro-hydrological model (SWAP-EPIC). The LH-OAT based module and the modified-MGA based module were developed for parameter sens...
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ژورنال
عنوان ژورنال: Geoscientific Model Development
سال: 2015
ISSN: 1991-9603
DOI: 10.5194/gmd-8-1899-2015