Near future (2016-40) summer precipitation changes over China as projected by a regional climate model (RCM) under the RCP8.5 emissions scenario: Comparison between RCM downscaling and the driving GCM

2013 ◽  
Vol 30 (3) ◽  
pp. 806-818 ◽  
Author(s):  
Liwei Zou ◽  
Tianjun Zhou
Keyword(s):  
Regional Climate Model ◽  
Climate Model ◽  
Regional Climate ◽  
Summer Precipitation ◽  
Precipitation Changes ◽  
Near Future ◽  
Emissions Scenario

scholarly journals Investigating future precipitation changes over China through a high-resolution regional climate model ensemble

2017 ◽  
Vol 5 (3) ◽  
pp. 285-303 ◽  
Author(s):  
Junhong Guo ◽  
Guohe Huang ◽  
Xiuquan Wang ◽  
Yongping Li ◽  
Qianguo Lin
Keyword(s):  
High Resolution ◽  
Regional Climate Model ◽  
Climate Model ◽  
Regional Climate ◽  
Model Ensemble ◽  
Precipitation Changes

scholarly journals Scaling Low Resolution Regional Climate Model Results to High Resolution for Predicting Rice and Maize Production under Climate Change Disaster Scenario

2020 ◽  
Author(s):  
Teerachai Amnuaylojaroen ◽  
Pavinee Chanvichit
Keyword(s):  
Climate Change ◽  
Regional Climate Model ◽  
Climate Model ◽  
Crop Yields ◽  
Regional Climate ◽  
Northern Thailand ◽  
Maize Production ◽  
Production Risk ◽  
Disaster Scenario ◽  
Near Future

Climate change effect on human-living in verities of way such as health and food security. This study presents predicting crop yields, and production risk in the near future (2020-2029) in northern Thailand using coupling 1 km resolution of regional climate model which is downscaled using a conservative remapping method and the Decision Support System for the Transfer of Agrotechnology (DSSAT) modeling system. The accuracy of the climate and agricultural model was appropriate compared to the observations with Index of Agreement (IOA) in ranges of 0.65 - 0.89. The DSSAT modeling system predicts that rice, and maize production will decrease by 5% and 4% in northern Thailand. In addition, a short-term risk analysis of rice and maize production has shown that, in the context of climate change, maize production appears to be at a high risk of low production in the near future, while rice cultivation might be a low risk.

scholarly journals Aerosol indirect effects on summer precipitation in a regional climate model for the Euro-Mediterranean region

2018 ◽  
Vol 36 (2) ◽  
pp. 321-335 ◽  
Author(s):  
Nicolas Da Silva ◽  
Sylvain Mailler ◽  
Philippe Drobinski
Keyword(s):  
Regional Climate Model ◽  
Indirect Effects ◽  
Mediterranean Region ◽  
Climate Model ◽  
Regional Climate ◽  
Summer Precipitation ◽  
Cloud Microphysics ◽  
Radiative Heating ◽  
Direct Effects ◽  
Anthropogenic Aerosols

Abstract. Aerosols affect atmospheric dynamics through their direct and semi-direct effects as well as through their effects on cloud microphysics (indirect effects). The present study investigates the indirect effects of aerosols on summer precipitation in the Euro-Mediterranean region, which is located at the crossroads of air masses carrying both natural and anthropogenic aerosols. While it is difficult to disentangle the indirect effects of aerosols from the direct and semi-direct effects in reality, a numerical sensitivity experiment is carried out using the Weather Research and Forecasting (WRF) model, which allows us to isolate indirect effects, all other effects being equal. The Mediterranean hydrological cycle has often been studied using regional climate model (RCM) simulations with parameterized convection, which is the approach we adopt in the present study. For this purpose, the Thompson aerosol-aware microphysics scheme is used in a pair of simulations run at 50 km resolution with extremely high and low aerosol concentrations. An additional pair of simulations has been performed at a convection-permitting resolution (3.3 km) to examine these effects without the use of parameterized convection. While the reduced radiative flux due to the direct effects of the aerosols is already known to reduce precipitation amounts, there is still no general agreement on the sign and magnitude of the aerosol indirect forcing effect on precipitation, with various processes competing with each other. Although some processes tend to enhance precipitation amounts, some others tend to reduce them. In these simulations, increased aerosol loads lead to weaker precipitation in the parameterized (low-resolution) configuration. The fact that a similar result is obtained for a selected area in the convection-permitting (high-resolution) configuration allows for physical interpretations. By examining the key variables in the model outputs, we propose a causal chain that links the aerosol effects on microphysics to their simulated effect on precipitation, essentially through reduction of the radiative heating of the surface and corresponding reductions of surface temperature, resulting in increased atmospheric stability in the presence of high aerosol loads. Keywords. Atmospheric composition and structure (aerosols and particles)

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