Comparison of Two High-resolution Gridded Precipitation Data Sets at the Upstream of Maroun Dam in Iran

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.

GORJIZADE ALI; AKHOOND ALI ALIMOHAMMAD; SHAHBAZI ALI; MORIDI ALI

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

Journal Paper

Paper Information

Journal: Iranian Journal of Soil and Water Research Year:2019 | Volume:50 | Issue:3 Page(s): 527-541

Download Full-Text

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

Persian Verion

View:

509

Download:

Cites:

Information Journal Paper

Title

Comparison of Two High-resolution Gridded Precipitation Data Sets at the Upstream of Maroun Dam in Iran

Author(s)

GORJIZADE ALI | AKHOOND ALI ALIMOHAMMAD | SHAHBAZI ALI | MORIDI ALI | Issue Writer Certificate

Keywords

Rainfall estimationQ2

Gridded datasetQ1

Evaluation indicatorsQ1

Idenak regionQ1

Abstract

Satellite-based precipitation estimations are important and necessary because they are used to compensate the limited rain measurements in areas where there is no continuous monitoring of rainfall due to the dispersion of rain ague networks. Satellite-based precipitation estimation systems can provide information in areas where rainfall data are not available. Therefore, the accuracy of this type of data is very important. In this study, rainfall data of two long-term satellite data sets (FARSI-CDR and PERSIANN-CCS) at the upstream of Maroun Dam (Dehno, Ghale-Raeesi, Idenak, Margoon stations) during 2003-2014 were used and evaluated on daily, monthly, seasonally and annually basis. The results show that the annual precipitation of each dataset is underestimated in all stations, but the PERSIANN-CCS model compare to the PERSIANNCDR has better estimations for annual observations. For estimation of seasonal precipitation, the results indicate that the PERSIANN-CCS model is better than the other one for Rainfall estimation and rainfall detection. For estimation of monthly and daily precipitation, the results indicate that PERSIANN-CDR data are more appropriate than the other data set. Also, regarding to POD (probability of detection) and FAR (False alarm rate) estimated data, It was found that according to POD index, PERSIANN-CCS precipitation daily data and according to FAR, daily precipitation data of PERSIANN-CDR model have better performance in detecting rainy and non-rainy days.

Cites

No record.

References

No record.

Cite

APA: Copy

GORJIZADE, ALI, AKHOOND ALI, ALIMOHAMMAD, SHAHBAZI, ALI, & MORIDI, ALI. (2019). Comparison of Two High-resolution Gridded Precipitation Data Sets at the Upstream of Maroun Dam in Iran. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, 50(3 ), 527-541. SID. https://sid.ir/paper/225384/en

Vancouver: Copy

GORJIZADE ALI, AKHOOND ALI ALIMOHAMMAD, SHAHBAZI ALI, MORIDI ALI. Comparison of Two High-resolution Gridded Precipitation Data Sets at the Upstream of Maroun Dam in Iran. IRANIAN JOURNAL OF SOIL AND WATER RESEARCH[Internet]. 2019;50(3 ):527-541. Available from: https://sid.ir/paper/225384/en

IEEE: Copy

ALI GORJIZADE, ALIMOHAMMAD AKHOOND ALI, ALI SHAHBAZI, and ALI MORIDI, “Comparison of Two High-resolution Gridded Precipitation Data Sets at the Upstream of Maroun Dam in Iran,” IRANIAN JOURNAL OF SOIL AND WATER RESEARCH, vol. 50, no. 3 , pp. 527–541, 2019, [Online]. Available: https://sid.ir/paper/225384/en

Related Journal Papers