scholarly journals The Impact of Climate Change on the Poleward Movement of Tropical Cyclone–Like Vortices in a Regional Climate Model

2000 ◽  
Vol 13 (6) ◽  
pp. 1116-1132 ◽  
Author(s):  
Kevin J. E. Walsh ◽  
Jack J. Katzfey
2019 ◽  
Vol 141 ◽  
pp. 390-401 ◽  
Author(s):  
Pieter de Jong ◽  
Tarssio B. Barreto ◽  
Clemente A.S. Tanajura ◽  
Daniel Kouloukoui ◽  
Karla P. Oliveira-Esquerre ◽  
...  

2018 ◽  
Vol 9 (4) ◽  
pp. 657-671 ◽  
Author(s):  
Mirko Knežević ◽  
Ljubomir Zivotić ◽  
Nataša Čereković ◽  
Ana Topalović ◽  
Nikola Koković ◽  
...  

Abstract The impact of climate change on potato cultivation in Montenegro was assessed. Three scenarios (A1B, A1Bs and A2) for 2001–2030, 2071–2100 and 2071–2100, respectively, were generated by a regional climate model and compared with the baseline period 1961–1990. The results indicated an increase of temperature during the summer season from 1.3 to 4.8 °C in the mountain region and from 1 to 3.4 °C in the coastal zone. The precipitation decreased between 5 and 50% depending on the scenario, region and season. The changes in temperature and precipitation influenced phenology, yield and water needs. The impact was more pronounced in the coastal areas than in the mountain regions. The growing season was shortened 13.6, 22.9 and 29.7 days for A1B, A1Bs and A2, respectively. The increase of irrigation requirement was 4.0, 19.5 and 7.3 mm for A1B, A1Bs and A2, respectively. For the baseline conditions, yield reduction under rainfed cultivation was lower than 30%. For A1B, A1Bs and A2 scenarios, yield reductions were 31.0 ± 8.2, 36.3 ± 11.6 and 34.1 ± 10.9%, respectively. Possible adaptation measures include shifting of production to the mountain (colder) areas and irrigation application. Rainfed cultivation remains a viable solution when the anticipation of sowing is adopted.


2020 ◽  
Vol 172 ◽  
pp. 02006
Author(s):  
Hamed Hedayatnia ◽  
Marijke Steeman ◽  
Nathan Van Den Bossche

Understanding how climate change accelerates or slows down the process of material deterioration is the first step towards assessing adaptive approaches for the preservation of historical heritage. Analysis of the climate change effects on the degradation risk assessment parameters like salt crystallization cycles is of crucial importance when considering mitigating actions. Due to the vulnerability of cultural heritage in Iran to climate change, the impact of this phenomenon on basic parameters plus variables more critical to building damage like salt crystallization index needs to be analyzed. Regional climate modelling projections can be used to asses the impact of climate change effects on heritage. The output of two different regional climate models, the ALARO-0 model (Ghent University-RMI, Belgium) and the REMO model (HZG-GERICS, Germany), is analyzed to find out which model is more adapted to the region. So the focus of this research is mainly on the evaluation to determine the reliability of both models over the region. For model validation, a comparison between model data and observations was performed in 4 different climate zones for 30 years to find out how reliable these models are in the field of building pathology.


2020 ◽  
Author(s):  
Hussain Alsarraf

<p>The purpose of this study is to examine the impact of climate change on the changes on summer surface temperatures between present (2000-2010) and future (2050-2060) over the Arabian Peninsula and Kuwait. In this study, the influence of climate change in the Arabian Peninsula and especially in Kuwait was investigated by high resolution (36, 12, and 4 km grid spacing) dynamic downscaling from the Community Climate System Model CCSM4 using the WRF Weather Research and Forecasting model. The downscaling results were first validated by comparing National Centers for Environmental Prediction NCEP model outputs with the observational data. The global climate change dynamic downscaling model was run using WRF regional climate model simulations (2000-2010) and future projections (2050-2060). The influence of climate change in the Arabian Peninsula can be projected from the differences between the two period’s model simulations. The regional model simulations of the average maximum surface temperature in summertime predicted an increase from 1◦C to 3 ◦C over the summertime in Kuwait by midcentury.</p><p><strong> </strong></p>


2021 ◽  
Author(s):  
Judit Carrillo ◽  
Albano González ◽  
Juan C. Pérez ◽  
Francisco J. Expósito ◽  
Juan P. Díaz

<p>Tourism is an essential sector of the economy of the Canary Islands. Tourism Climate Index (TCI) and Holiday Climate Index (HCI) are good indicators of environmental conditions for leisure activities. Regional climate model (RCM) has been addressed to analyze the impact of climate change on the indices of tourist areas. The initial and boundary conditions for future scenarios are prescribed through three CMIP5 models (GFDL, IPSL and MIROC)  surface and lateral boundary conditions within the Meteorological Research and Forecast (WRF), with a high resolution, 3x3 km. Two time periods (2030 – 2059, and 2070-2099) and two Representative Concentration Pathways (RCPs 4.5 and 8.5) are considered. Tourism indicators are projected to improve significantly during the winter and shoulder seasons, but will worsen in the summer months, including October, in the southeast, which is where hotels are currently located.</p>


2012 ◽  
pp. 17-34
Author(s):  
Dragana Cavlovic ◽  
Dragica Obratov-Petkovic ◽  
Mirjana Ocokoljic ◽  
Vladimir Djurdjevic

Wetlands are among the most vulnerable habitats on the planet. Very complex forest ecosystems are also parts of wetlands. Research and analysis of forest vegetation elements, leads to a conclusion about ecological conditions of wetlands. The aim of the paper is detail forest vegetation study, and analyzing the impact of climate changes on wetland forest vegetations of the strict protection area at the SNR Zasavica Ramsar site. Field research was carried out by using Braun-Blanquet?s Zurich-Montpelier school method. Phytogeographical elements and life forms of plants were determined subsequently, in order to get indicator values of wetland plants. Coupled Regional Climate Model (CRCM), EBU-POM was used for the climate simulations. Exact climatic variables for the site were determined by downscaling method. Climatic variables reference values were taken for the period of 1961-1990, and climate change simulations for the period 2071-2100 (A1B and A2). Indicator values of forest plants taken into consideration were humidity and temperature; therefore, ecological optimums were determined in scales of humidity and temperature. Regional Climate Model shows that there will be a long and intensive dry period in the future, with high temperatures from April till October. Continental winter will be more humid, with higher precipitation, especially in February. Based on the analysis of results it was concluded that wetlands are transitional habitats, also very variable and therefore vulnerable to changes. The changes may lead to the extinction of some plant species.


Author(s):  
Amedée Chabi ◽  
Esdras Babadjidé Josué Zandagba ◽  
Ezekiel Obada ◽  
Eliezer Iboukoun Biao ◽  
Eric Adéchina Alamou ◽  
...  

Abstract. One of the major threats to water resources today remains climate change. The objective of this study is to assess the impact of climate change on water availability in Oueme catchment at Savè. Precipitation provided by three regional climate models (RCMs) was analyzed. Bias in these data was first corrected using the Empirical Quantile Mapping (EQM) method be for etheir use as input to hydrological models. To achieve the objective, six hydrological models were used (AWBM, ModHyPMA, HBV, GR4J, SimHyd and Hymod). In projection, the results showed that the AWBM model appears to be the best. The multi-model approach further improves model performance, with the best obtained with combinations of the models AWBM-ModHyPMA-HBV. The AWBM model showed a fairly good capability for simulating flows in the basin with only HIRHAM5 climate model data as input. Therefore, the simulation with the HIRHAM5 data as inputs to the five (05) hydrological models, showed flows that vary at the horizons (2025, 2055 and 2085) under the scenarios (RCP4.5 and RCP8.5). Indeed, this variation is largely due to anthropogenic greenhouse gas (GHG) emissions.


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