Satellite Technology: Satellites provide a bird's-eye view of atmospheric conditions, helping meteorologists monitor cloud cover, storm systems, and overall weather patterns.
Radar Systems: Weather radars use radio waves to detect precipitation, estimate its intensity, and track its movement, aiding in short-term weather prediction.
Weather Stations: Ground-based weather stations collect real-time data on temperature, humidity, wind speed, and atmospheric pressure, contributing to accurate localized forecasts.
Computer Models: Numerical Weather Prediction (NWP) models use mathematical equations to simulate atmospheric processes, providing forecasts based on current conditions.
Remote Sensing: Instruments on aircraft and balloons measure atmospheric parameters, contributing valuable data for weather analysis and prediction.
Doppler Radar: Doppler radar technology measures the velocity of precipitation particles, allowing meteorologists to track storm movement and assess severe weather threats.
Supercomputers: High-performance computing is crucial for running complex weather models, enabling the processing of vast amounts of data for accurate and detailed forecasts.
Machine Learning: Artificial intelligence and machine learning techniques analyze historical weather data to identify patterns, improving the accuracy of weather predictions over time.