تطبيق نماذج القارية الأنسب لكشف التغير بين الفصول الجغرافية لأراضي المملكة العربية السعودية باستخدام نظم GIS

الملخص EN

Governing climates in Kingdom of Saudi Arabia are distinguished by their continental components, with importance varies from a region to another.

Identifying the continentally is a major task of the analytical climatology, as well as agricultural, medical, and bioclimatology climatology for the sake of developing environmental and cognitive studies for Saudi Arabia.

Continental study requires the recognition of best models for the Saudi territories, which is distinguished by its unique climates in terms of temperature and drought.

With the availability of daily climate data, used as input in the models, good results could be achieved to determine the optimum Governing climates in Kingdom of Saudi Arabia are distinguished by their continental components, with importance varies from a region to another.

Identifying the continentally is a major task of the analytical climatology.

as well as agricultural.

medical.

and bioclimatology climatology for the sake of developing environmental and cognitive studies for Saudi Arabia.

Continental study requires the recognition of best models for the Saudi territories.

which is distinguished by its unique climates in terms of temperature and drought.

With the availability of daily climate data, used as input in the models, good results could be achieved to determine the optimum methods to calibrate those models adopted for the identification of continentally distribution over January, as a representative for the winter season, and August as a representative for the summer.

The research study investigates, also, the analysis and determination of the model efficiency, particularly when the temperature rises in the hot summer season, when both minimum and maximum temperatures are significantly increased.

For such a situation, a detailed inspection is crucial for a system relating congeniality changes based on models and the local climate datasets.

That is implicitly depends on the identification of spatial patterns of continentally models variations, after correcting them.

The spatial analysis within the Geographic Information System (GIS) has been applied in the current research study.

That task includes the continentally analysis' optimum scale and the regression analysis in order to verify the adopted changes in the known models, and to come up with an approach that fulfils the study's goals.