# Weather anomaly vs a 30-year baseline by location

**Use case:** 

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

## Input

```json
{
  "locations": [
    "Napa Valley"
  ],
  "windowDays": 30,
  "baselineYears": 10,
  "hotDayC": 30,
  "veryHotDayC": 35,
  "heavyRainMm": 20,
  "includeSummary": true,
  "includeDaily": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "resolvedName": {
    "label": "Resolved name",
    "format": "string"
  },
  "country": {
    "label": "Country",
    "format": "string"
  },
  "windowStart": {
    "label": "Window start",
    "format": "string"
  },
  "windowEnd": {
    "label": "Window end",
    "format": "string"
  },
  "meanTemp": {
    "label": "Mean temp",
    "format": "number"
  },
  "normalTemp": {
    "label": "Normal temp",
    "format": "number"
  },
  "tempAnomaly": {
    "label": "Temp anomaly",
    "format": "number"
  },
  "tempRank": {
    "label": "Temp rank",
    "format": "integer"
  },
  "isWarmestOnRecord": {
    "label": "Is warmest on record",
    "format": "boolean"
  },
  "totalRainfall": {
    "label": "Total rainfall",
    "format": "number"
  },
  "normalRainfall": {
    "label": "Normal rainfall",
    "format": "number"
  },
  "rainfallPercentOfNormal": {
    "label": "Rainfall percent of normal",
    "format": "number"
  },
  "hotDays": {
    "label": "Hot days",
    "format": "integer"
  },
  "normalHotDays": {
    "label": "Normal hot days",
    "format": "number"
  },
  "frostDays": {
    "label": "Frost days",
    "format": "integer"
  },
  "baselineYearsUsed": {
    "label": "Baseline years used",
    "format": "integer"
  }
}
```

## About this Actor

This example demonstrates how to use [Weather History Scraper](https://apify.com/datalayer/climate-anomaly-checker) with a specific input configuration. Visit the [Actor detail page](https://apify.com/datalayer/climate-anomaly-checker) to learn more, explore other use cases, and run it yourself.


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This Task's input is already configured above — use it as-is rather than inventing a new one.

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/datalayer/climate-anomaly-checker.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).