Regional climate modeling over China with COSMO‐CLM: Performance assessment and climate projections

Bucchignani, Edoardo; Montesarchio, Myriam; Cattaneo, Luigi; Manzi, Maria Paola; Mercogliano, Paola

doi:10.1002/2014jd022219

Cited by 41 publications

(35 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, Chen and Sun [2009] suggested that the CMIP3 multimodel ensemble projected that there would be a decrease in the Xinjiang province in northwest China. In addition, the projection by Bucchignani et al [2014] with COSMO-CLM under the RCP4.5 scenario shows a similar pattern of winter precipitation changes but nearly an opposite changing pattern of summer precipitation changes. Therefore, large uncertainties still exist in future precipitation projections in China [Gao et al, 2012].…”

Section: Projections Of Total Precipitationmentioning

confidence: 76%

Dynamical downscaling simulation and future projection of precipitation over China

2015

View full text Add to dashboard Cite

This study assesses present-day and future precipitation changes over China by using the Weather Research and Forecasting (WRF) model version 3.5.1. The WRF model was driven by the Geophysical Fluid Dynamics Laboratory Earth System Model with the Generalized Ocean Layer Dynamics component (GFDL-ESM2G) output over China at the resolution of 30 km for the present day and near future (2031)(2032)(2033)(2034)(2035)(2036)(2037)(2038)(2039)(2040)(2041)(2042)(2043)(2044)(2045)(2046)(2047)(2048)(2049)(2050) under the Representative Concentration Pathways 4.5 (RCP4.5) scenario. The results demonstrate that with improved resolution and better representation of finer-scale physical process, dynamical downscaling adds value to the regional precipitation simulation. WRF downscaling generally simulates more reliable spatial distributions of total precipitation and extreme precipitation in China with higher spatial pattern correlations and closer magnitude. It is able to successfully eliminate the artificial precipitation maximum area simulated by GFDL-ESM2G over the west of the Sichuan Basin, along the eastern edge of the Tibetan Plateau in both summer and winter. Besides, the regional annual cycle and frequencies of precipitation intensity are also well depicted by WRF. In the future projections, under the RCP4.5 scenario, both models project that summer precipitation over most parts of China will increase, especially in western and northern China, and that precipitation over some southern regions is projected to decrease. The projected increase of future extreme precipitation makes great contributions to the total precipitation increase. In southern regions, the projected larger extreme precipitation amounts accompanied with fewer extreme precipitation frequencies suggest that future daily extreme precipitation intensity is likely to increase in these regions.

show abstract

Section: Projections Of Total Precipitationmentioning

confidence: 76%

Dynamical downscaling simulation and future projection of precipitation over China

2015

View full text Add to dashboard Cite

show abstract

“…Hence to assess their simulation in the regional climate model and the possible changes in these systems under global warming scenario is very crucial. Bucchignani et al (2014) [14] assessed the performance of COSMO-CLM over China. Panitz et al (2014) [15] have analysed COSMO-CLIM simulations over CORDEX-Africa domain.…”

Section: Introductionmentioning

confidence: 99%

Projected Changes in Semi Permanent Systems of Indian Summer Monsoon in CORDEX-SA Framework

Patwardhan¹,

Kulkarni²,

Sabade³

2016

AJCC

View full text Add to dashboard Cite

show abstract

“…The PRECIS simulation domain covered China with a 0.22° × 0.22° spatial resolution. Based on the geographical features of temperature changes over China and previous related studies (Bucchignani et al, ; Li et al, , ; Luo et al, ), the contiguous domain of China was divided into seven subregions, including Northwest China (NW), North Central China (NC), Northeast China (NE), Tibetan Plateau (Tibet), Southwest China (SW), Southeast China (SE), and Yangtze (YZ). As shown in Figure , the subregions are typically used in weather‐ and climate‐related studies in China because of climatic similarities within every subregion.…”

Section: Methods and Data Setsmentioning

confidence: 99%

Assessing Climate Change Impacts on Human‐Perceived Temperature Extremes and Underlying Uncertainties

2019

View full text Add to dashboard Cite

It has been suggested that global warming impacts on human thermal comfort will cause an increase in the heat stress and a decrease in the cold stress in the future. A recent study has shown elevated increases in human‐perceived equivalent temperature (HPET) by using a single index for summer and winter seasons (Li et al., 2018, https://doi.org/10.1038/s41558-017-0036-2). However, they have not considered multiple indices with combined effects on deriving HPET, which can result in large uncertainties in assessing climate change impacts on HPET and related extremes. Therefore, we develop a new framework with high‐resolution projections and an ensemble of 10 indices to quantify the impacts of climate change on HPET and related perceived extremes as well as to address uncertainties in both empirical indices and emission scenarios over China. Our findings reveal that different combinations of climatic variables can lead to two opposite conclusions for both normal and extreme conditions. For example, by using indices only considering the combined effect of temperature and relative humidity, China is projected to have an elevated increase in the HPET and in the frequency of high‐temperature extremes. By taking into account wind speed, the country expects to have the HPET even lower than the surface air temperature and an increase in the frequency of low‐temperature extremes. In addition, the resulting range of HPET due to uncertainty in indices is greater than the uncertainty range derived from different emission scenarios for the entire country. Therefore, it is necessary to conduct a comprehensive assessment that explicitly addresses uncertainties in the HPET in order to improve the robustness and reliability of assessing climate change impacts on human‐perceived temperature extremes.

show abstract

Regional climate modeling over China with COSMO‐CLM: Performance assessment and climate projections

Cited by 41 publications

References 56 publications

Dynamical downscaling simulation and future projection of precipitation over China

Dynamical downscaling simulation and future projection of precipitation over China

Projected Changes in Semi Permanent Systems of Indian Summer Monsoon in CORDEX-SA Framework

Assessing Climate Change Impacts on Human‐Perceived Temperature Extremes and Underlying Uncertainties

Contact Info

Product

Resources

About