Data-driven climate change communication

Weathersight is the platform for discovering and contextualizing global weather trends.

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Modern 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 has leveraged recent advances in Generative AI to build tools that enhance contextual communication of weather events.

Breaking weather news support

Receive leads based on recent and impending newsworthy weather events such as heat-waves, storms and flooding rains

Learn  Get Leads 

AI driven assistance for climate stories

Augment your weather story with appropriate contextual data and visualizations.

Learn   Try it!

AI generated factual summaries

Synthesize verifiable weather bulletins that contain links to the summarized facts

Learn   Summarize

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 2500 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