Weather Analysis & Monitoring
Our weather analysis solutions can be used to compare historical and current weather data, provide real-time weather updates, analyze weather impact etc. We deliver GIS-based solution that consolidates all weather-related historical data and provides means to view and spatially analyze this information on maps. This helps in assessing possible weather hazards and identifying solutions to reduce risks. We provide essential services that assist weather monitoring, forecast, risk assessment and so on.
Today, the demand for weather monitoring has increased. Everyone wants instant access to weather updates. Additionally, weather patterns can impact the development of several projects. Storms can destroy property and lives. Hence, it has become vital to have appropriate knowledge about weather conditions. Thanks to the implementation of GIS, tracking the weather has become simple. We develop applications that can be used to map large weather-related datasets for weather monitoring and prediction. Real-time, GIS-based weather forecasts can be generated using these weather monitoring applications.
Weather unpredictability can have a severe impact on the livelihood of many people. For example, temperature extremes, drought, flood, shift in rain pattern timing etc. can cause a range of problems. We provide GIS-based solutions to aid in assessing risks that may arise due to climatic changes. For this, data related to rainfall, temperature, atmospheric conditions etc. are collected from multiple sources. The system also has records of past flood occurrences in a state/district, the amount of rainfall received, the amount of water discharged from a dam at that point of time etc. With the help of weather forecasting organizations, this data can be used to generate alerts when the predicted amount of rainfall matches the one that had caused a flood in the past.
GIS-Based Decision Support System
We develop GIS-based applications that enable users to view weather-related data on maps, analyze weather conditions, generate summary reports and so on. These can also be used to compare current weather data with historical patterns to detect extreme changes and possibilities of disasters. In other words, these applications help in visualizing and interpreting weather variations over large geographical areas accurately and easily. The insights gleaned from them can be integrated into operational workflows for efficient disaster management.