Estimation of precipitation based on remote sensing technique in Alborz, Qazvin, Zanjan, Kurdistan and Hamedan provinces

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.

AHMADI M.; KAVIANI A.; DANESHKAR ARASTEH P.; FARAJI Z.

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

Download Full-Text

Persian Verion

View:

392

Download:

Cites:

Information Journal Paper

Title

Estimation of precipitation based on remote sensing technique in Alborz, Qazvin, Zanjan, Kurdistan and Hamedan provinces

Author(s)

AHMADI M. | KAVIANI A. | DANESHKAR ARASTEH P. | FARAJI Z. | Issue Writer Certificate

Keywords

PrecipitationQ2

remote sensingQ2

statistical testsQ1

interpolationQ2

Abstract

Determination of Precipitation in energy balance calculations are vital for hydrological studies and meteorology. Due to the importance of Precipitation data in different sciences and the absence of a wide and appropriate rainwater meter, Precipitation data needs to be estimated in some way. One of the ways to estimate Precipitation is the use of satellite data In this study, GLDAS, CRU, GPCP, TRMM, CMAP and NCEP-NCAR models are evaluated with station data in Alborz, Qazvin, Zanjan, Kurdistan and Hamedan provinces. The results showed that GPCP, TRMM, CMAP and NCEPNCAR had good outcomes in these regions, among which GPCP and TRMM provided better results. In the evaluation of GPCP with mean stations in the study area in pixel 3 in 2003, the explanatory factor (R2), EF coefficients, average error margin (MBE), absolute error of error (MAE) and root mean square error (RMSE) were 0. 96, 0. 94, 3. 13, 5. 30, and 6. 58, respectively. In addition, Precipitation data model of GLDAS is evaluated with station data. Results show that GLDAS model is not very accurate in areas with high Precipitation such as Rasht and Noshahr stations.

Cites

No record.

References

No record.

Cite

APA: Copy

AHMADI, M., KAVIANI, A., DANESHKAR ARASTEH, P., & FARAJI, Z.. (2019). Estimation of precipitation based on remote sensing technique in Alborz, Qazvin, Zanjan, Kurdistan and Hamedan provinces. REMOTE SENSING & GIS, 11(2 ), 21-46. SID. https://sid.ir/paper/358335/en

Vancouver: Copy

AHMADI M., KAVIANI A., DANESHKAR ARASTEH P., FARAJI Z.. Estimation of precipitation based on remote sensing technique in Alborz, Qazvin, Zanjan, Kurdistan and Hamedan provinces. REMOTE SENSING & GIS[Internet]. 2019;11(2 ):21-46. Available from: https://sid.ir/paper/358335/en

IEEE: Copy

M. AHMADI, A. KAVIANI, P. DANESHKAR ARASTEH, and Z. FARAJI, “Estimation of precipitation based on remote sensing technique in Alborz, Qazvin, Zanjan, Kurdistan and Hamedan provinces,” REMOTE SENSING & GIS, vol. 11, no. 2 , pp. 21–46, 2019, [Online]. Available: https://sid.ir/paper/358335/en

Related Journal Papers