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Information Journal Paper

Title

EVALUATING THE PERFORMANCE OF CRU AND NCEP CFSR GLOBAL REANALYSIS CLIMATE DATASETS IN HYDROLOGICAL SIMULATION BY SWAT MODEL (CASE STUDY: MAHARLU BASIN)

Pages

  32-44

Abstract

 Hydrological modeling needs climate data with high spatial accuracy especially in low-rainfall areas where usually there is a no-good observational network. Currently, the lack of climate observational data can somehow be overcome using gridded global databases. CRU and NCEP CFSR databases are amongst the most prestigious gridded databases which were evaluated in this study by using SWAT MODEL for MAHARLU LAKE BASIN. Statistical index comparisons in 33 years (1980-2013) showed the accuracy of the two datasets with Nash Sutcliffe efficiency index as approximately 0.91 in monthly scale. The modeling was then conducted by SWAT for all three datasets. The modeling results showed that databases could have high accuracy in RAINFALL RUNOFF modeling from which the CRU database indicated better runoff simulation compared to NCEP CFSR databases. Coefficients of determination and Nash Sutcliffe efficiency in each calibration and validation periods represented average values above 0.7 for observed datasets, 0.65 for CRU, and 0.6 for NCEP CFSR.

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    APA: Copy

    EINI, M.R., JAVADI, S., & DELAVAR, M.. (2018). EVALUATING THE PERFORMANCE OF CRU AND NCEP CFSR GLOBAL REANALYSIS CLIMATE DATASETS IN HYDROLOGICAL SIMULATION BY SWAT MODEL (CASE STUDY: MAHARLU BASIN). IRAN-WATER RESOURCES RESEARCH, 14(1 ), 32-44. SID. https://sid.ir/paper/100309/en

    Vancouver: Copy

    EINI M.R., JAVADI S., DELAVAR M.. EVALUATING THE PERFORMANCE OF CRU AND NCEP CFSR GLOBAL REANALYSIS CLIMATE DATASETS IN HYDROLOGICAL SIMULATION BY SWAT MODEL (CASE STUDY: MAHARLU BASIN). IRAN-WATER RESOURCES RESEARCH[Internet]. 2018;14(1 ):32-44. Available from: https://sid.ir/paper/100309/en

    IEEE: Copy

    M.R. EINI, S. JAVADI, and M. DELAVAR, “EVALUATING THE PERFORMANCE OF CRU AND NCEP CFSR GLOBAL REANALYSIS CLIMATE DATASETS IN HYDROLOGICAL SIMULATION BY SWAT MODEL (CASE STUDY: MAHARLU BASIN),” IRAN-WATER RESOURCES RESEARCH, vol. 14, no. 1 , pp. 32–44, 2018, [Online]. Available: https://sid.ir/paper/100309/en

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