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adds tc example (#1094)
Co-authored-by: Eliane Kobler Co-authored-by: emanuel-schmid
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doc/user-guide/climada_engine_Forecast.ipynb

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"## Example: forecast of building damages due to wind in Switzerland\n",
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"Before using the forecast class, hazard, exposure and vulnerability need to be created. The hazard looks at the weather forecast from today for an event with two days lead time (meaning the day after tomorrow). generate_WS_forecast_hazard is used to download a current weather forecast for wind gust from opendata.dwd.de. An Impact funtion for building damages due to storms is created. And with only a few lines of code, a LitPop exposure for Switzerland is generated, and the impact is calculated with a default impact function. With a further line of code, the mean damage per grid point for the day after tomorrow is plotted on a map."
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"Before using the forecast class, hazard, exposure and vulnerability need to be created. The hazard looks at the weather forecast from today for an event with two days lead time (meaning the day after tomorrow). generate_WS_forecast_hazard is used to download a current weather forecast for wind gust from opendata.dwd.de. An Impact function for building damages due to storms is created. And with only a few lines of code, a LitPop exposure for Switzerland is generated, and the impact is calculated with a default impact function. With a further line of code, the mean damage per grid point for the day after tomorrow is plotted on a map."
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"cell_type": "markdown",
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"## Example: Tropical Cylcone\n",
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"It would be nice to add an example using the tropical cyclone forecasts from the class TCForecast. This has not yet been done."
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"## Example: Forecast of Tropical Cylcones' Tracks, Windfields and Impacts\n",
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"The TCForecast class which facilitates fetching tropical cyclone forecasts from ECMWF is located in climada-petals. In the Weather4UN pilot project at MeteoSwiss an approach to calculate global impact estimates of tropical cyclones has been developed. It is documented in this github repository: https://github.com/ThomasRoosli/Weather4UN_global_impact_estimates. If you are interested in running an example computation, follow the steps described in the README."
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