We founded Weathersight to improve the utility of a large number of publicly available weather and climate datasets. As we explain in our blog, climate reports that analyzed these datasets were inadequate for informing people of regional changes to weather patterns on a continuous basis. For businesses, site specific analysis of current or future weather patterns remain expensive and are delivered by consultancies and enterprise software vendors. We hypothesised that there was a need for affordable, high quality weather insights delivered by a modern software platform.


Enable society and businesses to adapt to a changing climate.


To build a reliable, trustworthy and comprehensive source for weather and climate insights by combining high quality climate research and software engineering.



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Historical Data

All historical data used for daily (FULL_DAY), weekly (WEEK), monthly (MONTH), yearly (YEAR) anomalies and timeseries are derived from NOAA GSOD dataset.

The daily maximum temperature (Tmax) and daily minimum temperature(Tmin) are computed across UTC days for all locations.
For some locations this means that their actual Tmax, Tmin computed according to their definition of meteorological day will be different.
The anomaly detection though will remain unaffected for all locations as UTC days are consistently applied across historical data.

All historical data used for climatlogy comparisons and extremes estimation are derived from NOAA GHCND dataset.

Recent Data


All recent data interprets METAR data and is made consistent with local timezone meteorological day starting and ending 0000 hrs.
The DAY anomalies use this data to compare against the corresponding week's historical distribution. The Tmax, Tmin are estimates based on hourly or half-hourly readings from the stations and preciptiation totals are sums of readings.

Precipitation data is missing from Global METAR data. So, rainfall and snowfall anomalies of DAY are restricted to US administered locations.


For fast turn-around of Tmax, Tmin and precipiation anomalies of global stations, SYNOP reports via ogimet are used. FULL_DAY reports and their anomalies intend to reflect true Tmax, Tmin and 24hr precipitation totals. These are available within few hours of end of day and are eventually reconciled with NOAA GSOD dataset, usually after 2-7 days.

Forecast Data

A number of sources are being tested for forecast quality and accuracy. They form the basis to calculate FUTURE_DAY anomalies and trends. The forecast dataset is refreshed sub-daily for all locations.

Reanalysis Datasets

We have used ERA5 dataset made available by

Climate Projections

We are in the process of evaluating downscaled CMIP6 datasets made available by