Treatment Missing Data of Daily and Monthly Air Temperature in Some Iraqi cities by Using Curve Fitting
نویسندگان
چکیده
Climate change has become fast and entered a new stage began to affect all regions of the world. so, climate must be analyzed studied accurately. In order do this, should available continuous database without interruptions, improve accuracy forecasts. Therefore, this research aims treat missing temperature data for stations (Baghdad, Hilla, Basra, Nasiriya, Samawa) by using curve fitting method. monthly treatment period (1980-2020), it was observed that highest match between real values using Gaussian function sine wave recorded in summer months at (100%), lowest winter months. The daily (2010-2020) (97%) summer, treated to close values, is recommended use method from April October. months, used with caution.
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ژورنال
عنوان ژورنال: Ma?alla? ?ul?m al-mustan?iriyya?
سال: 2022
ISSN: ['1814-635X', '2521-3520']
DOI: https://doi.org/10.23851/mjs.v33i4.1202