Daily & hourly feeds of weather data

What is CustomWeather?

CustomWeather is a meteorology company that builds station level weather data feeds for industries that depend on precise local conditions. They aggregate inputs from large cooperative station networks and a proprietary forecast model, then package the result into clean, consistent feeds. The company has been operating for decades and powers weather services across media, energy, retail, and logistics.

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What academic researchers should know about CustomWeather data

CustomWeather publishes hourly and daily U.S. weather feeds on Dewey covering more than 2,000 stations. Each observation includes temperature, precipitation, humidity, wind speed, and other standard meteorological variables. The feed draws on the MADIS network of cooperative weather stations alongside CustomWeather's own quality control and station hierarchy, which means researchers get consistent variables and station identifiers across the country instead of the patchwork they would have to stitch together from NOAA, ASOS, and Mesonet sources.

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Why academic researchers choose CustomWeather on Dewey

Weather is one of the most common controls in empirical research, and getting it right is harder than it looks. NOAA, ASOS, and academic mesonets each cover different stations, different variables, and different time grids, and merging them is a recurring tax on every study that needs weather controls. CustomWeather has already done that work, with a clean station hierarchy and consistent hourly and daily variables for every populated area in the U.S. That makes it easy to pair with consumer spending feeds from Consumer Edge, foot traffic from SafeGraph and Advan Research, property records from ATTOM, and climate risk projections from ClimateCheck for multidisciplinary work. CustomWeather was built for industry buyers, and Dewey is how researchers get their hands on it.

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CustomWeather academic research ideas and use cases

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Retail and consumer behavior. Weather shapes nearly every category of consumer demand, from beverages to apparel to outdoor recreation. Researchers can match hourly temperature, precipitation, and wind to consumer spending feeds from SafeGraph and foot traffic from Advan Research at the store, zip code, or block group level, then test how unexpected weather shocks shift purchase mix, basket size, and the split between online and offline retail.

Energy demand and the grid. Hourly temperature and humidity are the single biggest drivers of residential and commercial electricity load. Researchers studying grid stress, renewable integration, demand response, and the energy efficiency of buildings can pair CustomWeather feeds with utility or smart meter data to model load at high temporal resolution, isolate behavioral responses to heat waves, and assess outage risk.

Agriculture and rural economics. Crop yields, livestock productivity, and farm labor outcomes all hinge on precipitation, temperature, and humidity from planting through harvest. CustomWeather's station coverage across rural counties supports yield prediction, irrigation studies, farmer adaptation research, and analyses of how heat waves and dry spells reshape rural economies.

Insurance, real estate, and natural hazards. Wind, hail, and precipitation events drive much of the U.S. insurance claims landscape and shape housing markets in vulnerable regions. CustomWeather feeds let researchers reconstruct the exact local conditions of any past event, then combine with ATTOM property records or ClimateCheck risk projections to study claim frequency, premium dynamics, price effects after major storms, and the migration response to repeated severe weather.

Transportation and logistics. Weather is a major source of delay, accidents, and rerouting across air, rail, road, and delivery logistics. With hourly station coverage and consistent variables across the country, CustomWeather supports research on freight movement, commuter behavior, rideshare supply, and the supply chain effects of severe storms.

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