Weather anomaly vs a 30-year baseline by location

Created by

Datalayer

Actor

Weather History Scraper

Recent temperature and rainfall for a place measured against its own 30-year normal, so "unusual" is a number rather than an impression.

Try for free

Weather History Scraperdatalayer/climate-anomaly-checker

Resolved name

Country

Window start

Window end

+12 fields

Input

Locations:Napa Valley

Analysis window (days):30

Baseline years:10

Output fields

Resolved name

Country

Window start

Window end

Mean temp

Normal temp

Temp anomaly

Temp rank

Is warmest on record

Total rainfall

Normal rainfall

Rainfall percent of normal

Hot days

Normal hot days

Frost days

Baseline years used

How it works

Sign up on Apify or log in

The Weather History Scraper Actor is ready to run with the inputs already set for "Weather anomaly vs a 30-year baseline by location". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Weather anomaly vs a 30-year baseline by location" task

The Weather History Scraper Actor will start running based on the input automatically. You can also change all the input fields, like locations, analysis window (days), and more, to match your specific use case.

Receive the "Weather anomaly vs a 30-year baseline by location" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as resolved name, country, window start, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Weather anomaly vs a 30-year baseline by location" task via API.