Estimation of relative humidity in Hormozgan province using MODIS products
Relative humidity is considered to be 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. To this end, MOD05 and MOD07 produc...
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Kharazmi University
2025-03-01
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| Series: | تحقیقات کاربردی علوم جغرافیایی |
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| Online Access: | http://jgs.khu.ac.ir/article-1-3733-en.pdf |
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| author | Masihollah Mohammadi behrooz sobhani |
| author_facet | Masihollah Mohammadi behrooz sobhani |
| author_sort | Masihollah Mohammadi |
| collection | DOAJ |
| description | Relative humidity is considered to be 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. To this end, MOD05 and MOD07 products were employed to estimate total perceptible water, air temperature, and sea-level pressure Additionally, MOD35 was used for cloud verification, , resulting in the identification of 2190 cloudless images with 95% confidence level for analysis. radiosound data of Bandar Abbas ststion and synoptic stations Covering entire Hormozgan Province. were used to evaluate the results. The findings demonstrated high accuracy of the algorithms and experimental model, with acceptable R² and RMSE values between Modis product and ground data. These results align well with ground station measurements. The province's climate was determined to be semi-desert with a long warm season and a short cool period. Further analysis revealed a strong correlation between sea-level pressure and total perceptible water (TPW) with the region's topography. Maximum TPW and sea-level pressure values were recorded in coastal lowlands, while minimum values occurred in the highlands. Based on zoning maps, Hormozgan province can be divided into four regions based on relative humidity: from very dry conditions with less than 20% relative humidity in the highlands to humid areas with over 65% relative humidity along the coast. |
| format | Article |
| id | doaj-art-b5098d614e0c4c559ad36f1b3015a185 |
| institution | Kabale University |
| issn | 2228-7736 2588-5138 |
| language | fas |
| publishDate | 2025-03-01 |
| publisher | Kharazmi University |
| record_format | Article |
| series | تحقیقات کاربردی علوم جغرافیایی |
| spelling | doaj-art-b5098d614e0c4c559ad36f1b3015a1852025-01-31T17:33:42ZfasKharazmi Universityتحقیقات کاربردی علوم جغرافیایی2228-77362588-51382025-03-0125764867Estimation of relative humidity in Hormozgan province using MODIS productsMasihollah Mohammadi0behrooz sobhani1 PhD student in Meteorology, Mohaghegh Ardabili University, Ardabil, Iran Professor, Department of Meteorology, Mohaghegh Ardabili University, Ardabil, Iran Relative humidity is considered to be 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. To this end, MOD05 and MOD07 products were employed to estimate total perceptible water, air temperature, and sea-level pressure Additionally, MOD35 was used for cloud verification, , resulting in the identification of 2190 cloudless images with 95% confidence level for analysis. radiosound data of Bandar Abbas ststion and synoptic stations Covering entire Hormozgan Province. were used to evaluate the results. The findings demonstrated high accuracy of the algorithms and experimental model, with acceptable R² and RMSE values between Modis product and ground data. These results align well with ground station measurements. The province's climate was determined to be semi-desert with a long warm season and a short cool period. Further analysis revealed a strong correlation between sea-level pressure and total perceptible water (TPW) with the region's topography. Maximum TPW and sea-level pressure values were recorded in coastal lowlands, while minimum values occurred in the highlands. Based on zoning maps, Hormozgan province can be divided into four regions based on relative humidity: from very dry conditions with less than 20% relative humidity in the highlands to humid areas with over 65% relative humidity along the coast.http://jgs.khu.ac.ir/article-1-3733-en.pdfrelative humidityhormozgan provinceregional algorithmsmodis sensor |
| spellingShingle | Masihollah Mohammadi behrooz sobhani Estimation of relative humidity in Hormozgan province using MODIS products تحقیقات کاربردی علوم جغرافیایی relative humidity hormozgan province regional algorithms modis sensor |
| title | Estimation of relative humidity in Hormozgan province using MODIS products |
| title_full | Estimation of relative humidity in Hormozgan province using MODIS products |
| title_fullStr | Estimation of relative humidity in Hormozgan province using MODIS products |
| title_full_unstemmed | Estimation of relative humidity in Hormozgan province using MODIS products |
| title_short | Estimation of relative humidity in Hormozgan province using MODIS products |
| title_sort | estimation of relative humidity in hormozgan province using modis products |
| topic | relative humidity hormozgan province regional algorithms modis sensor |
| url | http://jgs.khu.ac.ir/article-1-3733-en.pdf |
| work_keys_str_mv | AT masihollahmohammadi estimationofrelativehumidityinhormozganprovinceusingmodisproducts AT behroozsobhani estimationofrelativehumidityinhormozganprovinceusingmodisproducts |