Abstract
To assess the impacts of temperature and precipitation changes on surface soil moisture (SSM) in the Huang–Huai–Hai Plain (3H) region of China, the approach of conditional nonlinear optimal perturb...
Highlights
Owing to the increases in greenhouse gas emissions, climate changes have been occurring and continuing from global to regional scales
To investigate the impacts of the changes in climatology and climate variability on the hydrological cycle, a new kind of climate change scenario based on projections under a moderate emissions scenario (RCP4.5) will be provided in this paper by employing the Conditional Nonlinear Optimal Perturbation related to model parameters (CNOP-P) approach (Mu et al 2010)
Common Land Model (CoLM) and the conditional nonlinear optimal perturbation related to parameters (CNOP-P) approach are used to evaluate the maximal impacts of temperature or precipitation change derived from a moderate emissions scenario (RCP4.5) on surface soil moisture (SSM) in the 3H region
Summary
Owing to the increases in greenhouse gas emissions, climate changes have been occurring and continuing from global to regional scales. To investigate the impacts of the changes in climatology and climate variability on the hydrological cycle, a new kind of climate change scenario based on projections under a moderate emissions scenario (RCP4.5) will be provided in this paper by employing the Conditional Nonlinear Optimal Perturbation related to model parameters (CNOP-P) approach (Mu et al 2010). This kind of scenario could be used to assess the maximal impacts of climate change. The CNOP-P approach has been applied to investigate the influences of climate change on soil carbon and net primary production in China (Sun and Mu 2012, 2013, 2014), screen the most important and sensitive parameter combinations in numerical models (Sun and Mu 2016), and so on
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