Future projection of Maximum Temperature in Urmia through Downscaling output of CanESM2 Model

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

HOUSHYAR MAHMOUD; SOBHANI BEHROOZ; HOSSEINI SEYED ASAAD

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Geography and Planning Year:2018 | Volume:22 | Issue:63 Page(s): 305-325

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

395

Download:

Cites:

Information Journal Paper

Title

Future projection of Maximum Temperature in Urmia through Downscaling output of CanESM2 Model

Author(s)

HOUSHYAR MAHMOUD | SOBHANI BEHROOZ | HOSSEINI SEYED ASAAD | Issue Writer Certificate

Keywords

The prospect of changes in maximum temperatures Urmia Using Statistical Downscaling model output CanESM2Q1

Abstract

With the seriousness of the climate change debate in the world, the study of parameters and elements of the climate has been widely considered. With changes in climate patterns and changes in temperature and precipitation patterns, other components such as runoff and soil moisture, which are important for natural and human systems, will undergo metamorphosis. Therefore, long-term prediction of climatic variables has been considered by many scientific communities worldwide in order to know about their changes and considering the necessary measures to moderate the adverse effects of climate change. The phenomenon of climate change is of increasing importance due to its scientific and practical dimensions, since human systems dependent on climatic elements such as agriculture, industry and the like are designed and operated on the basis of the stability and stability of the climate. Accordingly, general circulation models (GCMs) have been developed. Although these models represent significant results on the atmospheric and continental spatial scales, they combine a large part of the complexity of the planet's system, but they are inherently unable to control the dynamics and forms with a fine grid Local scalability. Therefore, an assessment of the effect of climate change on a local scale requires an interim and spatial gap between large-scale climatic variables and meteorological variables with local scale, in which case the main approach is the same downscaling models. The SDSM model is one of the most widely used statistical microscopic instruments, which has many uses in meteorological, hydrological, geographic and environmental studies. Because in this method, large-scale daily circulation patterns are used on a stationary scale; and when used for the rapid and cost-effective estimation of climate change, and for randomized meteorological generators and modified functions, have given acceptable results. Given that global models have generally simulated climatic elements until the year 2100, it is possible to use global model data to simulate the desired variables such as precipitation and temperature on a station scale. The Intergovernmental Panel on Climate Change (IPCC) has used its latest assessment report (AR5) on new scenarios for the RCP as representatives of different levels of greenhouse gas emissions. The new emission scenarios have four key paths RCP2. 6, RCP4. 5, RCP6 and RCP8. 5, which are named after their radiation in 2100, Future Perspective. The variation of the maximum temperatures of the synoptic station of Urmia during the period (2021-2050) of the CanESM2 global model has been used under three scenarios RCP2. 6, RCP4. 5 and RCP8. 5.

Cites

No record.

References

No record.

Cite

APA: Copy

HOUSHYAR, MAHMOUD, SOBHANI, BEHROOZ, & HOSSEINI, SEYED ASAAD. (2018). Future projection of Maximum Temperature in Urmia through Downscaling output of CanESM2 Model. JOURNAL OF GEOGRAPHY AND PLANNING, 22(63 ), 305-325. SID. https://sid.ir/paper/403325/en

Vancouver: Copy

HOUSHYAR MAHMOUD, SOBHANI BEHROOZ, HOSSEINI SEYED ASAAD. Future projection of Maximum Temperature in Urmia through Downscaling output of CanESM2 Model. JOURNAL OF GEOGRAPHY AND PLANNING[Internet]. 2018;22(63 ):305-325. Available from: https://sid.ir/paper/403325/en

IEEE: Copy

MAHMOUD HOUSHYAR, BEHROOZ SOBHANI, and SEYED ASAAD HOSSEINI, “Future projection of Maximum Temperature in Urmia through Downscaling output of CanESM2 Model,” JOURNAL OF GEOGRAPHY AND PLANNING, vol. 22, no. 63 , pp. 305–325, 2018, [Online]. Available: https://sid.ir/paper/403325/en

Related Journal Papers