# Solar Irradiance & Sunshine Hours — PV Yield Estimation

**Use case:** 

Produces 93 rows of May 2026 solar data for three high-irradiance sites: Seville, Phoenix and Bengaluru. Every day includes shortwave_radiation_sum (MJ/m² reaching the panel), sunshine_duration and daylight_duration in seconds, cloud_cover_mean as a percentage, and temperature_2m_max for derating hot-panel efficiency. That is the full input set for a first-pass PV yield or solar-thermal estimate a

## Input

```json
{
  "coordinates": [
    "37.39,-5.98",
    "33.45,-112.07",
    "12.97,77.59"
  ],
  "fromDate": "2026-05-01",
  "toDate": "2026-05-31",
  "dailyVars": [
    "shortwave_radiation_sum",
    "sunshine_duration",
    "daylight_duration",
    "cloud_cover_mean",
    "temperature_2m_max"
  ],
  "maxItems": 93
}
```

## Output

```json
{
  "coordinate": {
    "label": "Coordinate"
  },
  "date": {
    "label": "Date"
  },
  "temperature_2m_max": {
    "label": "Temperature 2m max"
  },
  "temperature_2m_min": {
    "label": "Temperature 2m min"
  },
  "precipitation_sum": {
    "label": "Precipitation sum"
  }
}
```

## About this Actor

This example demonstrates how to use [Weather API — Historical & Forecast](https://apify.com/pepeschuster/open-meteo-weather-api.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/pepeschuster/open-meteo-weather-api.md) 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/pepeschuster/open-meteo-weather-api.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).