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Information Journal Paper

Title

ANNUAL RAINFALL FORECASTING BASED ON SYNOPTIC PATTERNS OF TELE-CONNECTION USING STATISTICAL MODELS

Pages

  111-123

Abstract

 The research shows that global climate changes and atmospheric general circulation are affected by large scale phenomena that occurred in the sea surface. These large scale phenomena are often named "climate large scale signals". These signals are calculated based on criteria such as sea Level Pressure (SLP), Sea Surface Temperature (SST) and so on. A method for weather forecasting is a special approach based on statistical modeling. In this study, data of 37 rainfall stations were used to model the relation between precipitation and Sea Level Pressure (SLP), Sea Surface Temperature (SST), Sea Level Pressure gradient (DSLP) and the difference between sea surface temperature and air temperature at 1000 HP. The results show that statistical modeling can successfully predict the amount of annual rainfall. The mean root square error for STEPWISE MODEL was obtained 49 millimeters.

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    Cite

    APA: Copy

    FALAH GHALHARI, GH.A., MOUSAVI BAIGI, S.M., HABIBI NOUKHANDAN, M., & KHOUSHHAL DASTJERDI, J.. (2009). ANNUAL RAINFALL FORECASTING BASED ON SYNOPTIC PATTERNS OF TELE-CONNECTION USING STATISTICAL MODELS. JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES), 62(1), 111-123. SID. https://sid.ir/paper/162612/en

    Vancouver: Copy

    FALAH GHALHARI GH.A., MOUSAVI BAIGI S.M., HABIBI NOUKHANDAN M., KHOUSHHAL DASTJERDI J.. ANNUAL RAINFALL FORECASTING BASED ON SYNOPTIC PATTERNS OF TELE-CONNECTION USING STATISTICAL MODELS. JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES)[Internet]. 2009;62(1):111-123. Available from: https://sid.ir/paper/162612/en

    IEEE: Copy

    GH.A. FALAH GHALHARI, S.M. MOUSAVI BAIGI, M. HABIBI NOUKHANDAN, and J. KHOUSHHAL DASTJERDI, “ANNUAL RAINFALL FORECASTING BASED ON SYNOPTIC PATTERNS OF TELE-CONNECTION USING STATISTICAL MODELS,” JOURNAL OF RANGE AND WATERSHED MANAGEMENT (IRANIAN JOURNAL OF NATURAL RESOURCES), vol. 62, no. 1, pp. 111–123, 2009, [Online]. Available: https://sid.ir/paper/162612/en

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