CLIMATE CLASSIFICATION is an essential method for understanding regional CLIMATEs. Various approaches to CLIMATE CLASSIFICATION exist, including the Köppen and Köppen-Trewartha systems. The primary distinctions between these CLASSIFICATION schemes lie in their objectives, the nature and number of parameters studied, and the establishment of thresholds. The Köppen-Trewartha CLASSIFICATION, the subject of this research, is a refinement of the Köppen system. This study compares the Köppen and Köppen-Trewartha CLASSIFICATIONs, highlighting the latter's suitability for Iran due to its increased emphasis on precipitation. The primary goal of this paper is to introduce the concepts and calculations involved in the Köppen-Trewartha CLIMATE CLASSIFICATION method. To achieve this objective, two synoptic stations in Fars Province, Lamard (representing CLIMATE type B) and Eqlid (representing a non-B CLIMATE type), were selected and analyzed. It is anticipated that teachers will not only become familiar with the Köppen CLASSIFICATION but also with the Köppen-Trewartha method, enabling them to calculate and compare both systems.

Architecture design with CLIMATE data and making it possible location is the thermal requirements. The aim of this paper is to identify and evaluate CLIMATE CLASSIFICATION and its compliance with the principles of vernacular architecture in Khorasan Razavi province often introverted architecture, first by extracting climatic elements needed in four CLIMATE CLASSIFICATION system (coupons, Ivanov, Emberger and Demarton ), during a time interval to most cities in Khorasan Razavi province took place This research was an analytical descriptive compilation along with a look at the survey and survey longitudinal approach (continuous) is done The use of methods to assess CLIMATE CLASSIFICATION architecture compatible with the CLIMATE and conditions of vernacular architecture for cities in Khorasan Razavi province were provided in tables and maps.

Knowledge and awareness of the CLIMATE of each region is the basis of infrastructure planning in all issues related to that region. Understanding the type of CLIMATE and its changes can be effective in maintaining the stability of the National Botanical Garden of Iran as one of the most important tourist attractions in the country. The aim of this study was to determine the CLIMATE type of the National Botanical Garden of Iran in order to have an overview for the use of researchers in different departments of the Forest and Rangeland Research Institute and also to understand the change in the type of garden CLIMATE in a complete climatic period (30 years) for the use of those involved in planning, support and protection of the National Botanical Garden of Iran. In this study, in order to determine the type of garden CLIMATE and its changes over three decades, an innovative model for detecting CLIMATE change has been used. To this end, the monthly temperature and precipitation data of Chitgar station and to complete it, the global data network of the CLIMATE Research Unit of the University of East Anglia, version 3. 32 was used. The results showed that at the annual scale, the type of garden CLIMATE changed from semi-arid to arid. On a seasonal scale, winter has undergone the most changes, with the type of CLIMATE changing from semi-humid to Mediterranean. On a monthly basis, the most changes were in March and then in February. Given the importance and diversity of species in the garden, as a national capital, the continuation of these changes may threaten the extinction of many plant communities in the future. CLIMATE change due to global warming in the coming decades in Iran is inevitable and the National Garden will not be excluded from the effects of these changes, so appropriate programs for CLIMATE change adaptation should be considered to support and protect it.

IntroductionThe average weather condition in a specific region is defined as CLIMATE. The diversity of climatic variables is effective in determining the CLIMATE of a region and causes the formation of diverse and different CLIMATEs. One of the effects of CLIMATE change is that causes an increase or decrease in a CLIMATE zone and, as a result, a shift in CLIMATE zones. CLIMATE CLASSIFICATION is an attempt to identify and recognize the differences and similarities of CLIMATE in different regions and to discover the relationships between different components of the CLIMATE system. CLIMATE CLASSIFICATION indicators are used to visualize current CLIMATE and quantify future changes in CLIMATE types as predicted by CLIMATE models. The studies conducted on these methods show that climatic variables affecting experimental methods such as temperature and precipitation should be considered effective variables in determining climatic boundaries in a new way. The De Martonne aridity index is an empirical index for CLIMATE CLASSIFICATION based on two components, precipitation and temperature. Due to its high accuracy, and the use of variables that are more accessible and can be measured at most meteorological stations, De Martonne’s index has received more attention from researchers and has been used in many studies of CLIMATE change. Therefore, the purpose of this research is to evaluate the effects of CLIMATE change on the climatic CLASSIFICATION of Iran. Materials and MethodsTo investigate the effects of CLIMATE change on the climatic CLASSIFICATION of Iran, the De Martonne aridity index has been used. To show the effects of CLIMATE change in the past and the future on Iran's CLIMATE, data from 120 meteorological stations of Iran, which are distributed in different locations with different CLIMATEs, were collected and analyzed in the statistical period of 1933-2022. The climatic condition of Iran in the base period was determined according to the De Martonne aridity index. In addition, to investigate the effects of CLIMATE change in the coming periods on the climatic CLASSIFICATION of Iran, the data related to the output of the CanESM2 model, which is one of the CMIP5 models that is hybridized by the Canadian Center for CLIMATE Modeling and Analysis (CCCMA) by combining CanCM4 and CTEM models, were used. To examine the changes in climatic classes of Iran under different scenarios and conditions, the output of two release scenarios, RCP2.6 and RCP8.5, were utilized. Due to the large-scale output of General Circulation Models (GCM), the output of this model was downscaled using the LARS-WG model. The LARS-WG model, which is considered one of the most famous and widely used models for downscaling weather data, was used to generate precipitation values, minimum and maximum temperatures, as well as daily radiation, under base and future CLIMATE conditions. Results and DiscussionAccording to the results, the majority of Iran (90.49%) has an arid and semi-arid CLIMATE. The percentage of arid CLIMATE is 68.82%, while that of semi-arid CLIMATE is 21.97%. Therefore, Iran should be called an arid and semi-arid country in terms of CLIMATE. By analysis of the effects of CLIMATE change indicates that in future periods, the precipitation and average temperature will increase. This increase will be greater under the RCP8.5 scenario than the RCP2.6 scenario. The study of the climatic CLASSIFICATION of Iran in the coming periods indicates that the majority of the country will continue to experience arid and semi-arid CLIMATEs. The sum of arid and semi-arid CLIMATEs will reach its lowest level in the period of 2020-2041. This is following the RCP2.6 scenario, after which these CLIMATEs are expected to expand once more. According to the RCP8.5 scenario, during the periods of 2021-2040, 2041-2060, and 2061-2080, the total area of arid and semi-arid CLIMATEs will decrease. However, from 2081 to 2100, this trend will be reversed, increasing in these CLIMATEs. According to the results of this research and according to the forecast, although according to different release scenarios, the difference in the area of different classes can be seen, in the future, arid and semi-arid climatic zones will still form the majority of Iran. ConclusionIn this research, by using the latest available data, Iran's CLIMATE is classified by the De Martonne aridity index, and then the changes in Iran's CLIMATE classes under the effects of CLIMATE change in the future periods, according to the output of the CanESM2 model from the CMIP5 modes, which is downscaled using the LARS-WG model. It has been investigated according to two emission scenarios, RCP2.6 and RCP8.5. The results indicated that the arid CLIMATE with 68.82% and the semi-arid CLIMATE with 21.97% constitute the largest area of Iran. The remaining climatic classes collectively comprise less than 10% of Iran's area. Therefore, Iran should be called an arid and semi-arid country in terms of CLIMATE. Investigating the effects of CLIMATE change on precipitation and temperature showed that both precipitation and average temperature will increase in future periods. However, the increase in both variables will be greater under the RCP8.5 scenario. The study of the climatic CLASSIFICATION of Iran in the coming periods indicates that the majority of the country will continue to experience arid and semi-arid CLIMATEs. The findings of this study indicate the necessity of addressing the issue of CLIMATE change and the importance of involving experts and macro planners in the analysis of the effects of CLIMATE change. It is suggested to use the output of other GCM models in future research due to the uncertainty of CLIMATE scenarios. Also, the use of diverse CLIMATE CLASSIFICATION methods that incorporate other variables is suggested for more precise identification of CLIMATE characteristics