WeatherTrends360 is the premier weather data and analytics source trusted by major Retail, CPG, Pharma, Agriculture, and Financial Services companies around the world. Access to historical and forecasted weather data plays a vital role in many industries. The WeatherTrends360 global solutions include historical weather data, short-range weather forecasts, and the proprietary year-ahead statistical weather forecasting model.

For weather forecast beyond two-weeks, the WeatherTrends360 proprietary year-ahead statistical weather forecasting model is the solution that provides the long-range intel needed, giving you time to proactively plan inventory, advertising, allocation, budgeting, sales forecasting, markdowns, etc. before the weather strikes. When knowing just the weather isn't enough, WeatherTrends360 provides weather-based predictive analytics to help clients measure, quantify, and forecast the effect of weather on your business last year, next week, and a year-ahead. Trusted by the Fortune 100 and Main Street, it's the next generation of weather-based predictive analytics.

This data set is just a sample of the temporal, spatial, and metric coverage. Our full solution has data at least every 5km across the globe and goes back decades. For more information, please reach out to sales@wt360.com.

Coverage

• 42,000+ US Zip Codes (Global Coverage Available. Please contact sales@wt360.com for more information.)

Variables

• Maximum Temperature (°F)
• Minimum Temperature (°F)
• Precipitation (in)
• Snowfall (in)
• Wind Speed (mph)
• Wind Gust (mph)
• Relative Humidity (percent)
• Sky Cover (percent)
• Wind Direction
• Probability of Precipitation (percent)
• UV Index (unit-less, 1 - 15)
• Weather

Request

Use the "l" (lowercase L) query string parameter to specify the US zip code that you wish to retrieve data for. The value specified must be the 5-digit (zero-padded) zip code. For example, to request forecast for 10001, the query string parameter would be "l=10001".

Quota

This plan allows for 15,000 request per day. If you need more, please reach out to us via sales@wt360.com.

Response

Example response:

    "data": {
        "weather": [
            {
                "gust": 18,
                "maxTemp": 37.5,
                "minTemp": 28.800000000000001,
                "pop": 28,
                "prcp": 0,
                "rh": 47,
                "sky_cover": 84,
                "snow": 0,
                "utc_date_iso": "2021-11-12T00:00:00+0000",
                "uv_index": 0,
                "wdir": "NW",
                "weather": "Windy and Cloudy",
                "wspd": 20
            },
            {
                "gust": 10,
                "maxTemp": 50.5,
                "minTemp": 23.5,
                "pop": 20,
                "prcp": 0,
                "rh": 36,
                "sky_cover": 64,
                "snow": 0,
                "utc_date_iso": "2021-11-13T00:00:00+0000",
                "uv_index": 2,
                "wdir": "SW",
                "weather": "Cloudy",
                "wspd": 8
            },
....

CLI Request Syntax

The following is the syntax to use if you wish to use the aws CLI tool to submit a request to this API.

aws dataexchange send-api-asset --endpoint https://atlas.us-west-2.datax.aws.a2z.com/prod/v1  --data-set-id \<DATA_SET_ID> --revision-id \<REVISION_ID> --asset-id \<ASSET_ID> --method GET --path "/adx__daily__short_range__14day__zipcodeus" --query-string-parameters 'l=\<US_ZIP_CODE>'

The values between "<>" should be replaced with the appropriate values for your subscription which you can find in the AWS Console.

Example request

The following command would return a 14-day forecast for US zip code 10001 (New York, New York).

aws dataexchange send-api-asset --endpoint https://atlas.us-west-2.datax.aws.a2z.com/prod/v1  --data-set-id \<DATA_SET_ID> --revision-id \<REVISION_ID> --asset-id \<ASSET_ID> --method GET --path "/adx__daily__short_range__14day__zipcodeus" --query-string-parameters 'l=10001'