Relative humidity is considered as one of the most important climatic parameters and atmospheric phenomena. The purpose of the present study is to evaluate the regional algorithms for estimating relative humidity using remote sensing data in Hormozgan province. In this regard, the products (MOD05 and MOD07) were used to for estimating the total perceptible water, air temperature and sea- level pressure. Also the product (MOD35) was used for cloud testing, which by performing this test, 2190 cloudless images with 95% confidence for processing was identified. To evaluate the results, radio sound data of Bandar Abbas and synoptic stations in all over the Hormozgan were used. The results showed high accuracy of the used algorithms and experimental model so that R2 and RMSE values of the recorded layers of the sensor and ground data were acceptable. They are in good agreement with ground station measurements. The results showed that the climate of the province is semi-desert with a long warm season and a short cool one. With a closer look, it was found that sea-level pressure and total perceptible water (TPW) in this province are highly correlated with the topography of the region, so that, maximum total perceptible water and sea level pressure were recorded in coastal lowland areas and minimum in the highlands of the province. According to zoning maps, Hormozgan province can be divided into four parts due to relative humidity: from very dry climate with less than 20% relative humidity which is recorded at the highlands to humid areas with more than 65% relative humidity at the coastal area.

Keywords: Relative Humidity, Hormozgan Province, Regional Algorithms, MODIS Sensor

     

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