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Information Journal Paper

Title

A DOWNSCALING MODEL BASED ON K-NEAREST NEIGHBOR (K-NN) NON-PARAMETRIC METHOD

Pages

  799-808

Keywords

ATMOSPHERE-OCEAN GENERAL CIRCULATION MODELS (AOGCM)Q2

Abstract

 General Circulation Models (GCMs) have been identified as a suitable tool for studying CLIMATE CHANGE. But these models simulate climatic parameters in the large-scale which has poor performance in the simulation of processes such as rain fall-run off. Therefore, several of downscaling methods were developed. This research is presented downscaling model based on k-nearest neighbor (K-NN) non-parametric method. The model is used to simulate daily precipitation data in Ahvaz station for the next period (2015-2044) under CLIMATE CHANGE scenarios based on out puts of three General Circulation Models, including HADCM3, NCARPCM and CSIROMK3.5. The results indicate that the model has a high capacity for DOWN SCALING data. It is predicted that the frequency of storm is increased with high intensity on future period in Ahvaz station while dry spells will be prolonged.

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    APA: Copy

    SEYED KABOLI, H., AKHONDALI, A.M., MASAH BAVANI, A.R., & RADMANESH, F.. (2012). A DOWNSCALING MODEL BASED ON K-NEAREST NEIGHBOR (K-NN) NON-PARAMETRIC METHOD. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), 26(4), 799-808. SID. https://sid.ir/paper/141852/en

    Vancouver: Copy

    SEYED KABOLI H., AKHONDALI A.M., MASAH BAVANI A.R., RADMANESH F.. A DOWNSCALING MODEL BASED ON K-NEAREST NEIGHBOR (K-NN) NON-PARAMETRIC METHOD. JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY)[Internet]. 2012;26(4):799-808. Available from: https://sid.ir/paper/141852/en

    IEEE: Copy

    H. SEYED KABOLI, A.M. AKHONDALI, A.R. MASAH BAVANI, and F. RADMANESH, “A DOWNSCALING MODEL BASED ON K-NEAREST NEIGHBOR (K-NN) NON-PARAMETRIC METHOD,” JOURNAL OF WATER AND SOIL (AGRICULTURAL SCIENCES AND TECHNOLOGY), vol. 26, no. 4, pp. 799–808, 2012, [Online]. Available: https://sid.ir/paper/141852/en

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