Evaluation and analysis of temperature for historical (1996–2015) and projected (2030–2060) climates in Pakistan using SimCLIM climate model: Ensemble application

Amin, Asad; Nasim, Wajid; Fahad, Shah; Ali, Shaukat; Ahmad, Shakeel; Rasool, Atta; Saleem, Nadia; Hammad, Hafiz Mohkum; Sultana, Syeda Refat; Mubeen, Muhammad; Bakhat, Hafiz Faiq; Ahmad, Naveed; Shah, Ghulam Mustafa; Adnan, Muhammad; Noor, Muhammad; Basir, Abdul; Saud, Shah; Habib-ur-Rahman, Muhammad; Paz, Joel O.

doi:10.1016/j.atmosres.2018.06.021

Cited by 62 publications

(15 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Previous studies have presented warming trends during rapid urbanization (Ren et al., 2008). Our results also showed increasing of urban temperature during the last 26 years, but the warming trend in our study is not as significant as other studies (Amin et al., 2018; Jacobs et al., 2013). This may because we chose the average value of daily mean temperature in summer days in our study.…”

Section: Discussioncontrasting

confidence: 71%

Long-term dynamics of urban thermal comfort in China’s four major capital cities across different climate zones

Ren

et al. 2019

PeerJ

View full text Add to dashboard Cite

China has experienced intensive urbanization over the past decades. However, it is still unclear about the influence of urbanization on urban thermal comfort and how the effect varies with climate condition. Based on long-term daily meteorological data from 1990 to 2015 in four Chinese cities undergoing rapid urbanization, our study tried to detect the long-term dynamics of summer urban thermal comfort across different climate zones and analyze their relationships with urbanization. Our results showed that urbanization can increase urban temperature and decrease relative humidity and wind velocity. Urban thermal comfort and discomfort days also changed greatly, especially in Harbin, Northeast China from 1990 to 2015. However, such changes for different cities across different climate zones are inconsistent. Results also showed that urbanization especially for social economic activities can have a significant influence on the physiological Equivalent Temperature (PET). Compared with southern cities, the PET in northern cities such as Harbin and Changchun in this study is more sensitive to urbanization. These results reveal that the changing patterns of urban thermal comfort in Chinese cities under rapid urbanization, and help government take some effective measures to improve urban thermal environment.

show abstract

Section: Discussioncontrasting

confidence: 71%

Long-term dynamics of urban thermal comfort in China’s four major capital cities across different climate zones

Ren

et al. 2019

PeerJ

View full text Add to dashboard Cite

show abstract

“…SimCLIM is an integrated software modelling system that users can flexibly customize for their own purposes to carry out assessments of climate change and its impacts and adaptation at local to global scales (Warrick et al, 2005;Mcleod et al, 2010). There is a wide range of applications by SimCLIM in studying the impacts of present climate variability and future change on various fields, for example, water resources management (Warrick, 2009), agriculture systems (Harrison et al, 2016), crop yield (Bao et al, 2015;Amin et al, 2018a;Trisurat et al, 2018), sea level rise (Wang et al, 2016;Ramachandran et al, 2017), ecosystem (Meyer et al, 2018), and so on. For climate change projections, outputs from a large range of complex General Circulation Models (GCMs) and the IPCC AR5 GHG emissions scenarios Representative Concentration Pathways (RCPs) are incorporated in SimCLIM.…”

Section: Model Descriptionmentioning

confidence: 99%

Climate Change Projections of Temperature Over the Coastal Area of China Using SimCLIM

Wang

Piao

Hou

et al. 2021

Front. Environ. Sci.

View full text Add to dashboard Cite

Facing the western Pacific Ocean and backed by the Eurasian continent, the coastal area of China (hereafter as CAC) is sensitive and vulnerable to climate change due to the compound effects of land-ocean-atmosphere, and thus is prone to suffer huge climate-related disaster losses because of its large population density and fast developed economy in the context of global warming. Here in this study the near- (2040), mid- (2070), and long-future (2100) mean, minimum, and maximum temperature (Tmean, Tmin, and Tmax) projections based on the statistic downscaling climate prediction model (SimCLIM) integrated with 44 General Circulation Models (GCMs) of CMIP5 under three representative concentration pathway (RCP4.5, RCP6.0, and RCP8.5) scenarios are evaluated over CAC and its sub-regions. Multi-model ensemble of the selected GCMs demonstrated that there was a dominating and consistent warming trend of Tmean, Tmin, and Tmax in the Chinese coastal area in the future. Under RCP4.5, RCP6.0, and RCP8.5 scenarios, the annual temperature increase was respectively projected to be in the range of 0.8–1.2°C for 2040, 1.5–2.7°C for 2070, and 1.6–4.4°C for 2100 over the entire CAC. Moreover, a spatial differentiation of temperature changes both on the sub-regional and meteorological station scales was also revealed, generally showing an increment with “high south and low north” for annual average Tmean but “high north and low south” for Tmin and Tmax. An obvious lower increase of Tmean in the hotter months like July and August in the south and a significant sharper increment of Tmin and Tmax in the colder months such as January, February, and December in the north were expected in the future. Results derived from this study are anticipated to provide insights into future temperature changes and also assist in the development of target climate change mitigation and adaptation measures in the coastal area of China.

show abstract

“…Os autores Amin et al (2018) analisaram a tendência de 39 estações meteorológicas no Paquistão, no período histórico de 1996-2015, para a temperatura máxima e mínima do ar utilizando-se os testes de Mann-Kendall e Sen's. Além disso, os autores avaliaram as projeções dos dados.…”

Section: Science Directunclassified

Métodos estatísticos para detectar tendências em dados climáticos históricos: revisão bibliográfica

Silva¹,

Santos²,

Ribeiro³

et al. 2022

CCT

View full text Add to dashboard Cite

Neste trabalho foi realizada uma revisão sistemática, utilizando-se palavras-chave, por meio dos bancos de dados de pesquisas científicas do Science Direct e do Web of Science, abordando-se os métodos estatísticos utilizados para avaliar tendências em dados climáticos históricos. Entre os artigos obtidos nesta seleção, no Brasil foi encontrado um estudo que analisou as tendências de parâmetros climáticos, avaliando o impacto no setor energético, em uma pequena central hidrelétrica e em uma usina solar. A regressão linear e o teste não paramétrico de Mann-Kendall associado ao declive de Sen foram os métodos estatísticos mais utilizados nas análises de tendências climáticas históricas. Comparados a outros, esses testes sofrem menos influência na presença de outliers. Os parâmetros climáticos mais estudados foram a precipitação e a temperatura do ar. Foi visto que poucos artigos abordaram as tendências climáticas em combinação com os impactos no setor energético, principalmente os que são baseados em recursos renováveis, que são os mais suscetíveis às alterações no clima, abrindo uma lacuna para mais estudos nessa linha.

show abstract

Evaluation and analysis of temperature for historical (1996–2015) and projected (2030–2060) climates in Pakistan using SimCLIM climate model: Ensemble application

Cited by 62 publications

References 52 publications

Long-term dynamics of urban thermal comfort in China’s four major capital cities across different climate zones

Long-term dynamics of urban thermal comfort in China’s four major capital cities across different climate zones

Climate Change Projections of Temperature Over the Coastal Area of China Using SimCLIM

Métodos estatísticos para detectar tendências em dados climáticos históricos: revisão bibliográfica

Contact Info

Product

Resources

About