ESTIMATION OF THE DAILY RAINFALL AMOUNT IN PROVINCE OF KHORASAN

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.

AMINI E.; GHAHRAMAN B.; DAVARY K.; MOUSAVI BAYGI M.

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

Journal Paper

Paper Information

Journal: Journal of Water and Soil Year:2012 | Volume:25 | Issue:5 Page(s): 1147-1157

Download Full-Text

Persian Verion

View:

812

Download:

Cites:

Information Journal Paper

Title

ESTIMATION OF THE DAILY RAINFALL AMOUNT IN PROVINCE OF KHORASAN

Author(s)

AMINI E. | GHAHRAMAN B. | DAVARY K. | MOUSAVI BAYGI M. | Issue Writer Certificate

Keywords

MODELINGQ2

MARKOV CHAINQ2

GAMMA DISTRIBUTION FUNCTIONQ3

Abstract

Agricultural scientists have developed considerable interest in MODELING and generation of rainfall as new ways of analyzing rainfall data and assessing its impact on agriculture. A combination of MARKOV CHAIN and GAMMA DISTRIBUTION FUNCTION is recognized as a simple approach and is demonstrated to be effective in generating daily rainfall data for many environments. Thus the availability of the weather data limits the applicability of the simulation method. When these model parameters are evaluated over time and at different places, however, certain general characteristics are revealed. First, the transitional probability of a wet day followed by a wet day tends to be greater but parallel to the transitional probability of a dry day followed by a wet day. This phenomenon leads to a linear relationship of the transitional probabilities to the fraction of wet days per month. Second, the beta parameter, which is used to describe the amount of rainfall, is related to the amount of rain per wet day owing to the positive skew ness of the rainfall distribution. Based on these relationships, a simple method is introduced, by which model parameters can be estimated from monthly summaries instead of from daily values. The suggested method, therefore, provides a convenient vehicle for applying weather simulation models to areas in which its use had been impossible because of the unavailability of long series of daily weather data.

Cites

No record.

References

Cite

APA: Copy

AMINI, E., GHAHRAMAN, B., DAVARY, K., & MOUSAVI BAYGI, M.. (2012). ESTIMATION OF THE DAILY RAINFALL AMOUNT IN PROVINCE OF KHORASAN. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), 25(5), 1147-1157. SID. https://sid.ir/paper/141272/en

Vancouver: Copy

AMINI E., GHAHRAMAN B., DAVARY K., MOUSAVI BAYGI M.. ESTIMATION OF THE DAILY RAINFALL AMOUNT IN PROVINCE OF KHORASAN. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)[Internet]. 2012;25(5):1147-1157. Available from: https://sid.ir/paper/141272/en

IEEE: Copy

E. AMINI, B. GHAHRAMAN, K. DAVARY, and M. MOUSAVI BAYGI, “ESTIMATION OF THE DAILY RAINFALL AMOUNT IN PROVINCE OF KHORASAN,” JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), vol. 25, no. 5, pp. 1147–1157, 2012, [Online]. Available: https://sid.ir/paper/141272/en

Related Journal Papers