Evaluation of error and uncertainty in downscaling SDSM and ANN

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 MEHDI; GHERMEZCHESHMEH BAGHER

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

Journal Paper

Paper Information

Journal: WATERSHED ENGINEERING AND MANAGEMENT Year:2020 | Volume:12 | Issue:1 Page(s): 340-350

Download Full-Text

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

Persian Verion

View:

449

Download:

Cites:

Information Journal Paper

Title

Evaluation of error and uncertainty in downscaling SDSM and ANN

Author(s)

AHMADI MEHDI | GHERMEZCHESHMEH BAGHER | Issue Writer Certificate

Keywords

EvaluationQ1

Climate changeQ1

HadCm3Q1

ProgrammingQ2

simulationQ1

UncertaintyQ1

Abstract

In the last decades, greenhouse gases in atmosphere have increased as a result of natural and human activities and thus, earth temperature has increased. Rising global temperature, in turn, leads to significant changes in related fields, especially water resources and agriculture. So, investigating and modeling climate changes can be considered as a very important factor in water resources management planning. Different studies have been done in the field of Climate change issues in the world, but, at the moment, AOGCM model is the most reliable tool to generate climate scenarios. It is necessary to downscale AOGCM data using different techniques in station scale and compare linear and nonlinear downscaling models. In liner method SDSM and in nonlinear method ANN Programming were used in MATLAB. For investigating the amount of error, mean biomass monthly and annual and for extreme data, variance and for analyzing Uncertainty Man-Witney test were used in 95 percent level. Results showed the amount of mean monthly errors are 0. 75, 12, 11 and 7 mm in Ghaemshahr, Babolsar, Ghoran Talar and Bandpey in SDSM model and 3, 2, 26 and 4 mm in ANN model and the amount of mean annual errors are 9, 146, 141 and 87 mm in SDSM model and 45, 32, 321 and 48 mm in ANN model (increased or decreased), respectively. Examining the performance of variance showed that ANN model was somewhat better than SDSM model. Also, results of Uncertainty for 12 months in Ghaemshar, Babolsar, Quran Talar and Bandpey stations showed 8, 3, 6 and 4 in SDSM model and 4, 2, 2 and 3 in ANN model, respectively. In general, this study showed that in studies on Climate change effects on runoff, Uncertainty, and when limited data are available, SDSM model should be used and when the aim is investigating the flood and its minimum and maximum estimation, it is better to use ANN model.

Cites

No record.

References

No record.

Cite

APA: Copy

AHMADI, MEHDI, & GHERMEZCHESHMEH, BAGHER. (2020). Evaluation of error and uncertainty in downscaling SDSM and ANN. WATERSHED ENGINEERING AND MANAGEMENT, 12(1 ), 340-350. SID. https://sid.ir/paper/234685/en

Vancouver: Copy

AHMADI MEHDI, GHERMEZCHESHMEH BAGHER. Evaluation of error and uncertainty in downscaling SDSM and ANN. WATERSHED ENGINEERING AND MANAGEMENT[Internet]. 2020;12(1 ):340-350. Available from: https://sid.ir/paper/234685/en

IEEE: Copy

MEHDI AHMADI, and BAGHER GHERMEZCHESHMEH, “Evaluation of error and uncertainty in downscaling SDSM and ANN,” WATERSHED ENGINEERING AND MANAGEMENT, vol. 12, no. 1 , pp. 340–350, 2020, [Online]. Available: https://sid.ir/paper/234685/en

Related Journal Papers