Data-driven climate change communication
Weathersight is the platform for discovering and contextualizing global weather trends.
Learn moreModern software for continuously monitoring and detecting global weather patterns
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In the era of climate change, weather coverage in media has gone beyond mere reports and forecasts. Climate Desks in leading news organizations have increased contextual coverage by providing data, visuals and explanations of weather events. However, a dedicated team of journalists, scientists and engineers remain a luxury for most media houses.
It is non-trivial to continuously and systematically derive value from raw weather data provided by government agencies.
Subject matter expertise is required to identify and interpret relevant climate data sources and advanced knowledge of statistics is needed to transform raw data into climate change indicators.
Software engineering work is also necessary to setup and evolve ingestion, analytics and machine learning pipelines. And of course, world class journalism is needed to write that story.
We believe that a committed team of climate scientists and software engineers can empower media organizations by building and scaling a platform to deliver trustworthy context required for communicating climate change.
Tools for data driven climate journalism
Weathersight applies advanced statistical models to continuously updated weather data to generate relevant context for extreme weather events.
Trustworthy weather insights on demand
Weathersight enables climate change communicators to systematically track, anticipate and react to changing weather patterns
Identify weather anomalies
Discover leads based on recent and impending anomalous events such as heat-waves, storms and flooding rains
Latest Events Other Anomalies
Quantify extreme events
Calculate return periods of extreme events and understand how they have changed over the years
Weather Extremes
Visualize nature of change
Use a versatile analytics layer to contextualize changing weather patterns
Trends Comparisons Shifts
Local area climate indicators
Access updated climate change indicators applicable to your city. Over 3000 cities in 190+ countries covered. Backed by 50+ years of historical data.
Degree Day Trends
Research hyperlocal trends
Use updated climate change indicators applicable to specific coordinates of interest. Derived from latest reanalysis datasets.
Anomaly Trends
Localized impact of climate change
Estimate climate change indicators and extremes based on climate projection datasets
Future Degree Day Trends