scholarly journals EXAMINATIONS OF THE RECONSTRUCTION OF CURRENT CLIMATE BY USING A NESTED REGIONAL CLIMATE MODEL TO PROJECT UNUSUAL WEATHER, CLIMATE EXTREMES AND HEAVY RAINFALLS ON THE GLOBAL WARMING

2007 ◽  
Vol 15 ◽  
pp. 177-182
Author(s):  
Motoki NISHIMORI ◽  
Fujio KIMURA ◽  
Toshichika IIZUMI ◽  
Masayuki YOKOZAWA
Keyword(s):  
Global Warming ◽  
Regional Climate Model ◽  
Climate Model ◽  
Regional Climate ◽  
Climate Extremes ◽  
Current Climate ◽  
Heavy Rainfalls

scholarly journals Panama’s Current Climate Replicability in a Non-Hydrostatic Regional Climate Model Nested in an Atmospheric General Circulation Model

Atmosphere ◽  
2021 ◽  
Vol 12 (12) ◽  
pp. 1543
Author(s):  
Reinhardt Pinzón ◽  
Noriko N. Ishizaki ◽  
Hidetaka Sasaki ◽  
Tosiyuki Nakaegawa
Keyword(s):  
Regional Climate Model ◽  
Air Temperature ◽  
General Circulation ◽  
Climate Model ◽  
Regional Climate ◽  
Surface Air Temperature ◽  
Circulation Model ◽  
Horizontal Resolution ◽  
Temperature And Precipitation ◽  
Current Climate

To simulate the current climate, a 20-year integration of a non-hydrostatic regional climate model (NHRCM) with grid spacing of 5 and 2 km (NHRCM05 and NHRCM02, respectively) was nested within the AGCM. The three models did a similarly good job of simulating surface air temperature, and the spatial horizontal resolution did not affect these statistics. NHRCM02 did a good job of reproducing seasonal variations in surface air temperature. NHRCM05 overestimated annual mean precipitation in the western part of Panama and eastern part of the Pacific Ocean. NHRCM05 is responsible for this overestimation because it is not seen in MRI-AGCM. NHRCM02 simulated annual mean precipitation better than NHRCM05, probably due to a convection-permitting model without a convection scheme, such as the Kain and Fritsch scheme. Therefore, the finer horizontal resolution of NHRCM02 did a better job of replicating the current climatological mean geographical distributions and seasonal changes of surface air temperature and precipitation.

Impacts of global warming of 1.5 °C and 2.0 °C on precipitation patterns in China by regional climate model (COSMO-CLM)

2018 ◽  
Vol 203 ◽  
pp. 83-94 ◽  
Author(s):  
Hemin Sun ◽  
Anqian Wang ◽  
Jianqing Zhai ◽  
Jinlong Huang ◽  
Yanjun Wang ◽  
...  
Keyword(s):  
Global Warming ◽  
Regional Climate Model ◽  
Climate Model ◽  
Regional Climate ◽  
Precipitation Patterns

scholarly journals Weather extremes over Europe under 1.5 and 2.0 °C global warming from HAPPI regional climate ensemble simulations

2021 ◽  
Vol 12 (2) ◽  
pp. 457-468
Author(s):  
Kevin Sieck ◽  
Christine Nam ◽  
Laurens M. Bouwer ◽  
Diana Rechid ◽  
Daniela Jacob
Keyword(s):  
Global Warming ◽  
Regional Climate Model ◽  
Climate Model ◽  
Regional Climate ◽  
Apparent Temperature ◽  
Climate Indices ◽  
Weather Extremes ◽  
Near Surface ◽  
Model Simulations ◽  
Climate Model Simulations

Abstract. This paper presents a novel dataset of regional climate model simulations over Europe that significantly improves our ability to detect changes in weather extremes under low and moderate levels of global warming. This is a unique and physically consistent dataset, as it is derived from a large ensemble of regional climate model simulations. These simulations were driven by two global climate models from the international HAPPI consortium. The set consists of 100×10-year simulations and 25×10-year simulations, respectively. These large ensembles allow for regional climate change and weather extremes to be investigated with an improved signal-to-noise ratio compared to previous climate simulations. To demonstrate how adaptation-relevant information can be derived from the HAPPI dataset, changes in four climate indices for periods with 1.5 and 2.0 ∘C global warming are quantified. These indices include number of days per year with daily mean near-surface apparent temperature of >28 ∘C (ATG28); the yearly maximum 5-day sum of precipitation (RX5day); the daily precipitation intensity of the 50-year return period (RI50yr); and the annual consecutive dry days (CDDs). This work shows that even for a small signal in projected global mean temperature, changes of extreme temperature and precipitation indices can be robustly estimated. For temperature-related indices changes in percentiles can also be estimated with high confidence. Such data can form the basis for tailor-made climate information that can aid adaptive measures at policy-relevant scales, indicating potential impacts at low levels of global warming at steps of 0.5 ∘C.

Searching for Added Value in Simulating Climate Extremes with a High-Resolution Regional Climate Model over Western Canada

2016 ◽  
Vol 54 (4) ◽  
pp. 364-384 ◽  
Author(s):  
Charles L. Curry ◽  
Bárbara Tencer ◽  
Kirien Whan ◽  
Andrew J. Weaver ◽  
Michel Giguère ◽  
...  
Keyword(s):  
High Resolution ◽  
Regional Climate Model ◽  
Climate Model ◽  
Regional Climate ◽  
Climate Extremes ◽  
Added Value ◽  
Western Canada

scholarly journals Projection of Climatic Change over Japan Due to Global Warming by High-Resolution Regional Climate Model in MRI

SOLA ◽  
2005 ◽  
Vol 1 (0) ◽  
pp. 97-100 ◽  
Author(s):  
Kazuo Kurihara ◽  
Koji Ishihara ◽  
Hidetaka Sasaki ◽  
Yukio Fukuyama ◽  
Hitomi Saitou ◽  
...  
Keyword(s):  
Global Warming ◽  
High Resolution ◽  
Regional Climate Model ◽  
Climatic Change ◽  
Climate Model ◽  
Regional Climate

scholarly journals Agricultural Adaptation to Global Warming in the Tibetan Plateau

2019 ◽  
Vol 16 (19) ◽  
pp. 3686
Author(s):  
Yanling Song ◽  
Chunyi Wang ◽  
Hans W. Linderholm ◽  
Jinfeng Tian ◽  
Ying Shi ◽  
...  
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Tibetan Plateau ◽  
Winter Wheat ◽  
Regional Climate Model ◽  
Spring Wheat ◽  
Climate Model ◽  
Regional Climate ◽  
The Tibetan Plateau ◽  
Agricultural Adaptation

The Tibetan plateau is one of the most sensitive areas in China and has been significantly affected by global warming. From 1961 to 2017, the annual air temperature increased by 0.32 °C/decade over the Tibetan Plateau, which is the highest in the whole of China. Furthermore, this is a trend that is projected to continue by 0.30 °C/decade from 2018 to 2050 due to global warming using the Regional Climate Model version 4 (RegCM4). The increased temperature trend in recent decades has been highest in winter, which has been positive for the safe dormancy of winter wheat. In order to investigate agricultural adaptation to climate change in the Tibetan plateau, we used the World Food Studies (WOFOST) cropping systems model and weather data from the regional climate model RegCM4, to simulate winter wheat production in Guide county between 2018 and 2050. The simulated winter wheat potential yields amounted to 6698.3 kg/ha from 2018 to 2050, which showed the wheat yields would increase by 81%, if winter wheat was planted instead of spring wheat in the Tibetan Plateau with the correct amount of irrigation water. These results indicate that there are not only risks to crop yields from climate change, but also potential benefits. Global warming introduced the possibility to plant winter wheat instead of spring wheat over the Tibetan Plateau. These findings are very important for farmers and government agencies dealing with agricultural adaptation in a warmer climate.

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