PERFORMANCE ASSESSMENT OF LARS-W GAND SDSM DOWNSCALING MODELS IN SIMULATION OFCLIMATE CHANGES IN URMIALAKE BASIN

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.

GOUDARZI M.; SALAHI B.; ASAAD HOSSEINI S.

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

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING Year:2016 | Volume:9 | Issue:31 Page(s): 11-22

Download Full-Text

Persian Verion

View:

1,489

Download:

Cites:

Information Journal Paper

Title

PERFORMANCE ASSESSMENT OF LARS-W GAND SDSM DOWNSCALING MODELS IN SIMULATION OFCLIMATE CHANGES IN URMIALAKE BASIN

Author(s)

GOUDARZI M. | SALAHI B. | ASAAD HOSSEINI S. | Issue Writer Certificate

Keywords

CLIMATE CHANGEQ1

LARS-WGQ1

SDSMQ1

PRECIPITATIONQ2

TEMPERATUREQ1

URMIA LAKEQ1

Abstract

In the study ofCLIMATE CHANGEs, Prediction of the futureclimatic parametersis performedbygeneral circulationmodels (GCMs) andemissions scenarios ofgreenhouse gases.However, Global Circulation Models have very course spatial resolutions.For this reason, downscaling methods are needed to bridge the gap between the large scale climate scenarios and the fine scale where local stations exist. Downscaling methods are divided into two categories: 1) statistical models and 2) Dynamic models. Among these methods, statistical methods are much more popular which is due to low expenses and less time consuming procedures. LARS-WG and SDSM models are among the most concise methods of statistical tools for downscaling. Herein this research these two models were used in simulating PRECIPITATION and TEMPERATURE changes in URMIA LAKE basin located in the north west of Iran. Four synoptic stations includingSaqez, Tabriz Khoy and Urmia were considered. These four stations had a good and long data especially in base period (1961-1990). In order to assess the models, MSE, RMSE & MAE indexes along with regression and bias were used. Results show that both models were good in simulating TEMPERATURE but SDSM was better in simulating PRECIPITATION according to statistical performance measures and has less uncertainty. But it has more complex and time consuming procedures. While LARS-WG is simpler and faster comparing with SDSM. In general, none of the models has absolute superior in simulating climatic parameters and both can be used in CLIMATE CHANGE predictions.

Cites

No record.

References

No record.

Cite

APA: Copy

GOUDARZI, M., SALAHI, B., & ASAAD HOSSEINI, S.. (2016). PERFORMANCE ASSESSMENT OF LARS-W GAND SDSM DOWNSCALING MODELS IN SIMULATION OFCLIMATE CHANGES IN URMIALAKE BASIN. IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING, 9(31), 11-22. SID. https://sid.ir/paper/134731/en

Vancouver: Copy

GOUDARZI M., SALAHI B., ASAAD HOSSEINI S.. PERFORMANCE ASSESSMENT OF LARS-W GAND SDSM DOWNSCALING MODELS IN SIMULATION OFCLIMATE CHANGES IN URMIALAKE BASIN. IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING[Internet]. 2016;9(31):11-22. Available from: https://sid.ir/paper/134731/en

IEEE: Copy

M. GOUDARZI, B. SALAHI, and S. ASAAD HOSSEINI, “PERFORMANCE ASSESSMENT OF LARS-W GAND SDSM DOWNSCALING MODELS IN SIMULATION OFCLIMATE CHANGES IN URMIALAKE BASIN,” IRANIAN JOURNAL OF WATERSHED MANAGEMENT SCIENCE AND ENGINEERING, vol. 9, no. 31, pp. 11–22, 2016, [Online]. Available: https://sid.ir/paper/134731/en

Related Journal Papers