SPATIAL-STATISTICAL ANALYSIS OF THE PREDICTED PRECIPITATION OF IRAN USING HADCM3 ATMOSPHERIC-OCEANIC COUPLED 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.

MOZAFARI GH.A.; SHAFIEI SH.; ROKNADINI B.

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

Journal Paper

Paper Information

Journal: Journal of Agricultural Meteorology Year:2015 | Volume:2 | Issue:2 Page(s): 37-46

Download Full-Text

Persian Verion

View:

1,051

Download:

Cites:

Information Journal Paper

Title

SPATIAL-STATISTICAL ANALYSIS OF THE PREDICTED PRECIPITATION OF IRAN USING HADCM3 ATMOSPHERIC-OCEANIC COUPLED MODEL

Author(s)

MOZAFARI GH.A. | SHAFIEI SH. | ROKNADINI B. | Issue Writer Certificate

Keywords

PRECIPITATION PREDICTIONQ2

HADCM3Q2

IRANQ2

SIMCLIMQ2

SPATIAL STATISTICAL ANALYSISQ2

ATMOSPHERIC-OCEANIC GENERAL CIRCULATIONQ2

Abstract

The aim of this study is to investigate the spatial distribution of daily observed precipitation of IRAN during baseline (1970-2010) and future (2011-2040) periods using outputs of HADCM3 coupled atmospheric-oceanic (GCM) model. For downscaling these outputs a statistical model namely SIMCLIM were used and calibrated. Required data were retrieved from National Center Environmental Prediction (NCEP) which provides a dataset for 1961-2100 period. The data of GCM model of 1970 to 2010 were used. SIMCLIM weather generator was applied for, downscaling future prediction during period of 2011-2040. Furthermore, using spatial-statistical tool in Geographical Information System (GIS), the Local Moran and hot spots methods, observed and predicted dispersion and changes of precipitation were examined. The results of the study showed an increasing long-term trend in country's precipitation with average amount of 5.1 millimeter, which is more obvious in Caspian Sea coasts, northwest and also central parts of IRAN, especially some parts of Yazd and Isfahan provinces, while precipitation has decreased in southern parts of the country. The results of local Moran spatial analysis of observed and predicted precipitation showed that no-clustered precipitations, that is the low precipitations of southeast and central parts of IRAN, have decreased, which indicates the rising trend of precipitation in future period in these regions. Besides, the existence of a cluster of rising precipitation in northeast of the country is observed which indicates that in the future, northeast parts of the country will experience increasing trend of precipitation. This can be confirmed by generated hot spots map also.

Cites

No record.

References

No record.

Cite

APA: Copy

MOZAFARI, GH.A., SHAFIEI, SH., & ROKNADINI, B.. (2015). SPATIAL-STATISTICAL ANALYSIS OF THE PREDICTED PRECIPITATION OF IRAN USING HADCM3 ATMOSPHERIC-OCEANIC COUPLED MODEL. JOURNAL OF AGRICULTURAL METEOROLOGY, 2(2), 37-46. SID. https://sid.ir/paper/249955/en

Vancouver: Copy

MOZAFARI GH.A., SHAFIEI SH., ROKNADINI B.. SPATIAL-STATISTICAL ANALYSIS OF THE PREDICTED PRECIPITATION OF IRAN USING HADCM3 ATMOSPHERIC-OCEANIC COUPLED MODEL. JOURNAL OF AGRICULTURAL METEOROLOGY[Internet]. 2015;2(2):37-46. Available from: https://sid.ir/paper/249955/en

IEEE: Copy

GH.A. MOZAFARI, SH. SHAFIEI, and B. ROKNADINI, “SPATIAL-STATISTICAL ANALYSIS OF THE PREDICTED PRECIPITATION OF IRAN USING HADCM3 ATMOSPHERIC-OCEANIC COUPLED MODEL,” JOURNAL OF AGRICULTURAL METEOROLOGY, vol. 2, no. 2, pp. 37–46, 2015, [Online]. Available: https://sid.ir/paper/249955/en

Related Journal Papers