نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی دکتری آبیاری و زهکشی گروه مهندسی آب، دانشکده کشاورزی، دانشگاه فردوسی مشهد
2 استاد گروه علوم و مهندسی آب، دانشکده کشاورزی، دانشگاه فردوسی مشهد
3 استاد گروه مهندسی آب، دانشکده کشاورزی، دانشگاه فردوسی مشهد
4 دانشیار گروه مهندسی آب، دانشکده کشاورزی، دانشگاه فردوسی مشهد
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
In many climate studies, land surface models are forced by meteorological data, and there is no attempt to check the quality of the data. The purpose of this study is to evaluation of GLDAS1 meteorological forcing data and application of bias correction method for these data. The weather data corrected will be input into the Noah-MP model in the next study.
Observations for the Neyshaboor Basin have been collected at a temporal resolution of one day during the period 2000–2009 for ten years from fourteen stations and evaporation stations and a meteorological station in the basin. The variables of temperature, relative humidity, short solar wavelength, and air pressure, with correlation coefficients of 0.94, 0.77, 0.74 and 0.6, respectively, were in good agreement with the observations. The GLDAS1 precipitation data for most of this basin is less than observations. The precipitation has been corrected by matching the mean and the coefficient of variation of GLDAS data with observational data. The results of applying the correction method were satisfactory, so that difference in average daily precipitate between GLDAS1 data and observational data was effectively reduced to 0.048 mm. Also, the correlation between the number of wet days (precipitation over 0.3 mm) in the observational data with the corrected data compared to the uncorrected data improved from -1.17 to 0.93 and the first-order autocorrelation in the observational data with corrected data has improved better than uncorrected data and has grown from -2.4 to 0.41. The corrections were the highest during January, February, October, November and December. the bias correction applied seems to correct the precipitation well during May to September.
کلیدواژهها [English]