CustomWeather adds MRMS climate data to Cloud Weather Services API

By AI, Created 10:51 AM UTC, May 20, 2026, /AGP/ – CustomWeather launched Multi-Radar/Multi-Sensor System climate data on its Cloud Weather Services API, giving customers near-real-time precipitation insights at 1-kilometer resolution. The update is aimed at developers, researchers and businesses that need faster access to historical and localized weather data for modeling and planning.

Why it matters: - CustomWeather is packaging complex radar and sensor data into a developer-ready API, which lowers the barrier to using MRMS for climate analysis and weather-sensitive decision-making. - The new data feed adds high-resolution precipitation data with near-zero latency, which can improve risk modeling, infrastructure planning and other operational uses. - The expansion also strengthens CustomWeather’s historical climate offering by pairing MRMS with long-term averages and multi-decade records.

What happened: - CustomWeather announced the launch of Multi-Radar/Multi-Sensor System climate data on its Cloud Weather Services API platform on May 7, 2026. - The company said the integration provides precipitation totals from MRMS at 1-kilometer spatial resolution. - The release said the data is available through a unified API structure for point-based and gridded access. - The company said the offering is available to clients through its historical data and analytics products. - More information is available in CustomWeather’s Historical Data & Analytics solutions.

The details: - MRMS was originally developed to support forecasting and decision-making for hazardous weather. - The system combines radar networks, surface and upper-air observations, lightning detection systems, satellites and numerical forecast models. - The resulting products support analysis of hail, wind, tornadoes, convection, icing, turbulence and quantitative precipitation. - CustomWeather said it continuously ingests, processes and validates MRMS data from NOAA’s NSSL to minimize lag between source availability and client access. - The company said the pipeline delivers fully processed and quality-controlled MRMS data through the API. - MRMS data is distributed in complex GRIB formats, and CustomWeather provides processing scripts and ready-to-use data pipelines. - The company enriched MRMS datasets with 30-year climatological averages at hourly and daily resolutions. - CustomWeather aggregated daily climate values from MRMS and ERA5 across more than 85,000 global forecast locations. - The historical records extend back to 1980. - Point-based queries are available in JSON or XML, and gridded data is available in netCDF.

Between the lines: - CustomWeather is trying to turn a technically difficult public weather data set into a more accessible commercial product. - The move suggests demand for higher-frequency, localized climate intelligence among enterprises, researchers and developers. - By combining near-real-time data with long historical context, CustomWeather is aiming to support both operational workflows and longer-range analysis.

What’s next: - CustomWeather said the expansion reflects its push to make environmental data more accessible, actionable and scalable. - The company’s historical data and analytics platform is likely to remain a core part of its API strategy as customers look for simpler integration and faster delivery.

The bottom line: - CustomWeather’s MRMS integration turns a complex weather data system into a cleaner API product with faster access, higher resolution and broader historical context.