###### Abstract
The current state of the interoperability problems between BIM models is reviewed in [24]; (3) automation deficiency: BIM software commonly lacks the inherent capabilities required for the automatic integration of weather information, including hazardous weather alerts, into its databases; and (4) the absence of an alarm system: BIM software lacks an inherent functionality to connect with alert notification systems, creating a gap in real-time hazard awareness. Buildings need to withstand not only with seasonal weather variations but also the escalating extremes resulting from climate change. This is why the climate adaption of buildings is a central concern in their sustainability assessment. Today, the integration of weather data with BIM is primarily observed in applications related to sustainability assessments, such as the 6D BIM dimension [25]. Thus, an effective adaptive building design is one that remains responsive to these ever-evolving environmental challenges for the entirety of its anticipated lifespan [26]. In this regard, one of the most popular BIM approaches used that is based on weather conditions is the energy performance assessment of buildings, which seeks to estimate and optimize the energy consumption of a building design [27; 28]. This use is also connected to the analysis of sunlight's interaction with the building, aiding in the design of spaces that optimize natural lighting and enhance occupant well-being through strategies including temperature comfort [29]. These analyses relate to extensive databases and focus on the specific locations of the buildings [30]. Other related applications, like Heat Ventilation and Air Conditioning (HVAC) systems, are based on real-time data [31]. [PERSON] et al. 's work optimized the indoor thermal comfort throughout the integration of BIM models with real-time environmental data collected by IoT sensors. This work also included 3D visualization of thermal comfort and real-time updates for BIM models [32]. Furthermore, for this objective, Birgonul introduced a BIM and IoT-supported platform that operated with the involvement of occupants. This platform empowered users to access and interact with BIM data and real-time information while the building is in active use [33]. Regarding weather hazard alerts connected with BIM models, it is worth noting the work of [PERSON] et al. [34], in which temperature measurements were employed to prevent fire hazards. They suggest that IoT sensors hold significant potential for enhancingearly fire detection, automating fire prevention and intervention processes, facilitating evacuation and indoor navigation, and enabling the integration of BIM to improve visualization and planning in smart buildings [34]. Despite its importance, the introduction of other weather hazard scenarios, such as the combined impact of wind and temperature in areas adjacent to the building, which could result in fire incidents, or the effects of strong winds and storm surges in the buildings near the coast, into BIM has not yet been incorporated into the literature. Among the most promising technologies available in the literature with the potential to automate the integration of weather information into the BIM model are the following:  
1. Parametric visual programming tools: As reviewed in [35], parametric programming tools, such as Dynamo and Grasshopper, are commonly employed in civil engineering and architectural applications by enabling automation, optimization, and data-driven decision-making. Parametric programming tools have found common applications in the literature, including in (1) facilitating generative geometrical design, allowing for the creation of intricate geometries. For example, [PERSON] et al. [36], used Dynamo scripts to program the geometry of complex arch bridges. (2) Automating repetitive tasks in BIM software like Revit. A practical application can be found in [PERSON] et al. [37], who employed Dynamo tools to automate hydraulic service connections within BIM buildings.