Weather anomaly vs a 30-year baseline by location

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

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Weather History Scraper
Weather History Scraperdatalayer/climate-anomaly-checker
Resolved name
Country
Window start
Window end
+12 fields
Text
Number
Boolean
List
Object

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 Apify01

Create your Apify account to access the Weather History Scraper.

Start the run02

The Actor will start running based on the input automatically.

Receive the output03

Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.

Integrate into your workflow04

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.

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