WRF MODEL OUTPUT POSTPROCESSING FOR DAILY PRECIPITATION OVER 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.

AZADI M.; SHIRGHOLAMI M.R.; HAJJAM S.; SAHRAIAN F.

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

Journal Paper

Paper Information

Journal: IRAN-WATER RESOURCES RESEARCH Year:2012 | Volume:7 | Issue:4 (22) Page(s): 71-81

Download Full-Text

Persian Verion

View:

1,624

Download:

Cites:

Information Journal Paper

Title

WRF MODEL OUTPUT POSTPROCESSING FOR DAILY PRECIPITATION OVER IRAN

Author(s)

AZADI M. | SHIRGHOLAMI M.R. | HAJJAM S. | SAHRAIAN F. | Issue Writer Certificate

Keywords

POSTPROCESSINGQ2

VERIFICATIONQ3

MOVING AVERAGEQ3

BEST EASY SYSTEMATIC ESTIMATORQ3

WRF MODELQ3

Abstract

Despite the fact that the quality of forecasts from numerical weather prediction (NWP) models has increased in recent years, yet exact forecast of precipitation is a difficult and challenging task. In order to obtain more accurate precipitation forecasts, efforts have been made to improve the models, formulations, and the accuracy of the initial conditions. One important alternative is to improve the model output via POSTPROCESSING.In this paper, the WRF MODEL was applied for a six month period from 1 November 2008 to 30 April 2009 with two nests using 45 and 15 Km grid. The model outputs were then postprocessed for 24-hour precipitation forecasts for 205 synoptic stations over Iran using two methods of the MOVING AVERAGE (MA) and the BEST EASY SYSTEMATIC ESTIMATOR (BES). Data for the first three months were used for training and the rest of data were used for the test and comparison. Statistical scores including degree of mass balance (DMB), mean absolute error (MAE) and its corresponding skill score were calculated for both direct and postprocessed outputs.Results showed that both methods improve the direct outputs of the model. The MA method decreased MAE for different stations from 5 to 50 percent. The mean of MAE decrease for all stations was about %25. In the BES method the average value of MAE for all stations is around 13 percent.

Cites

No record.

References

No record.

Cite

APA: Copy

AZADI, M., SHIRGHOLAMI, M.R., HAJJAM, S., & SAHRAIAN, F.. (2012). WRF MODEL OUTPUT POSTPROCESSING FOR DAILY PRECIPITATION OVER IRAN. IRAN-WATER RESOURCES RESEARCH, 7(4 (22)), 71-81. SID. https://sid.ir/paper/100248/en

Vancouver: Copy

AZADI M., SHIRGHOLAMI M.R., HAJJAM S., SAHRAIAN F.. WRF MODEL OUTPUT POSTPROCESSING FOR DAILY PRECIPITATION OVER IRAN. IRAN-WATER RESOURCES RESEARCH[Internet]. 2012;7(4 (22)):71-81. Available from: https://sid.ir/paper/100248/en

IEEE: Copy

M. AZADI, M.R. SHIRGHOLAMI, S. HAJJAM, and F. SAHRAIAN, “WRF MODEL OUTPUT POSTPROCESSING FOR DAILY PRECIPITATION OVER IRAN,” IRAN-WATER RESOURCES RESEARCH, vol. 7, no. 4 (22), pp. 71–81, 2012, [Online]. Available: https://sid.ir/paper/100248/en

Related Journal Papers