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You can use the */home* directory in your custom container file system to persist files across restarts and share them across instances. The */home* directory is provided to enable your custom container to access persistent storage. Saving data within */home* contributes to the [storage space quota](../azure-resource-manager/management/azure-subscription-service-limits.md#azure-app-service-limits) included with your App Service Plan.
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When persistent storage is disabled, writes to the *C:\home* directory aren't persisted across app restarts or across multiple instances. When persistent storage is enabled, all writes to the *\home* directory persist. All instances of a scaled-out app can access them. Any existing files already present on the persistent storage when the container starts overwrite any contents in the *\home* directory of the container.
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When persistent storage is disabled, writes to the */home* directory aren't persisted across app restarts or across multiple instances. When persistent storage is enabled, all writes to the */home* directory persist. All instances of a scaled-out app can access them. Any existing files already present on the persistent storage when the container starts overwrite any contents in the */home* directory of the container.
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The only exception is the *\home\LogFiles* directory. This directory stores the container and application logs. This folder always persists upon app restarts if [application logging is enabled](troubleshoot-diagnostic-logs.md#enable-application-logging-linuxcontainer) with the **File System** option, whether or not persistent storage is enabled. In other words, enabling or disabling the persistent storage doesn't affect the application logging behavior.
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The only exception is the */home/LogFiles* directory. This directory stores the container and application logs. This folder always persists upon app restarts if [application logging is enabled](troubleshoot-diagnostic-logs.md#enable-application-logging-linuxcontainer) with the **File System** option, whether or not persistent storage is enabled. In other words, enabling or disabling the persistent storage doesn't affect the application logging behavior.
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We recommend that you write data to */home* or a [mounted Azure storage path](configure-connect-to-azure-storage.md?tabs=portal&pivots=container-linux). Data written outside these paths isn't persistent during restarts. The data is saved to platform-managed host disk space separate from the App Service Plans file storage quota.
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title: Request real-time and forecasted weather data using Azure Maps Weather services
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title: Request real-time and forecasted weather data using Azure Maps Weather service
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titleSuffix: Microsoft Azure Maps
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description: Learn how to request real-time (current) and forecasted (minute, hourly, daily) weather data using Microsoft Azure Maps Weather services
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description: Learn how to request real-time (current) and forecasted (minute, hourly, daily) weather data using Microsoft Azure Maps Weather service
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author: farazgis
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ms.author: fsiddiqui
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ms.date: 08/08/2024
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---
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# Request real-time and forecasted weather data using Azure Maps Weather services
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# Request real-time and forecasted weather data using Azure Maps Weather service
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Azure Maps [Weather services] are a set of RESTful APIs that allows developers to integrate highly dynamic historical, real-time, and forecasted weather data and visualizations into their solutions.
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Azure Maps [Weather service] are a set of RESTful APIs that allows developers to integrate highly dynamic historical, real-time, and forecasted weather data and visualizations into their solutions.
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This article demonstrates how to request both real-time and forecasted weather data:
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* Request hourly forecasts using the [Get Hourly Forecast API].
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* Request minute by minute forecasts using the [Get Minute Forecast API].
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This video provides examples for making REST calls to Azure Maps Weather services.
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This video provides examples for making REST calls to Azure Maps Weather service.
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</br>
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title: 'Tutorial: Join sensor data with weather forecast data using Jupyter Notebooks (Python)'
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titleSuffix: Microsoft Azure Maps
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description: Tutorial on how to join sensor data with weather forecast data from Microsoft Azure Maps Weather services using Jupyter Notebooks in VS Code (Python).
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description: Tutorial on how to join sensor data with weather forecast data from Microsoft Azure Maps Weather service using Jupyter Notebooks in VS Code (Python).
# Tutorial: Join sensor data with weather forecast data using Jupyter Notebooks (Python)
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Wind power is one alternative energy source for fossil fuels to combat against climate change. Because wind isn't consistent by nature, wind power operators need to build machine learning (ML) models to predict the wind power capacity. This prediction is necessary to meet electricity demand and ensure the grid stability. In this tutorial, we walk through how Azure Maps weather forecast data is combined with demo data for weather readings. Weather forecast data is requested by calling Azure Maps Weather services.
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Wind power is one alternative energy source for fossil fuels to combat against climate change. Because wind isn't consistent by nature, wind power operators need to build machine learning (ML) models to predict the wind power capacity. This prediction is necessary to meet electricity demand and ensure the grid stability. In this tutorial, we walk through how Azure Maps weather forecast data is combined with demo data for weather readings. Weather forecast data is requested by calling Azure Maps Weather service.
In our scenario, we would like to request daily forecast for each sensor location. The following script calls the [Daily Forecast] API of the Azure Maps Weather services. This API returns weather forecast for each wind turbine, for the next 15 days from the current date.
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In our scenario, we would like to request daily forecast for each sensor location. The following script calls the [Daily Forecast] API of the Azure Maps Weather service. This API returns weather forecast for each wind turbine, for the next 15 days from the current date.
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```python
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subscription_key ="Your Azure Maps key"
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dates_check=set()
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wind_speeds, wind_direction = [], []
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# Call Azure Maps Weather services to get daily forecast data for 15 days from current date
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# Call azure maps Weather service to get daily forecast data for 15 days from current date
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title: Weather services concepts in Microsoft Azure Maps
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description: Learn about the concepts that apply to Microsoft Azure Maps Weather services.
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title: Weather service concepts in Microsoft Azure Maps
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description: Learn about the concepts that apply to Microsoft Azure Maps Weather service.
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author: farazgis
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ms.author: fsiddiqui
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ms.date: 09/10/2020
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ms.subservice: weather
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# Weather services in Azure Maps
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# Weather service in Azure Maps
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This article introduces concepts that apply to Azure Maps [Weather services]. We recommend going through this article before starting out with the weather APIs.
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This article introduces concepts that apply to Azure Maps [Weather service]. We recommend going through this article before starting out with the weather APIs.
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## Unit types
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title: Azure Maps Weather service frequently asked questions (FAQ)
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summary: |
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This article answers to common questions about Azure Maps [Weather services](/rest/api/maps/weather) data and features. The following topics are covered:
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This article answers to common questions about Azure Maps [Weather service](/rest/api/maps/weather) data and features. The following topics are covered:
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* Data sources and data models
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* Weather services coverage and availability
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* Weather service coverage and availability
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* Data update frequency
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* Developing with Azure Maps SDKs
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* Options to visualize weather data, including Microsoft Power BI integration
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How does Azure Maps source Weather data?
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answer: |
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Azure Maps is built with the collaboration of world-class mobility and location technology partners, including AccuWeather, who provides the underlying weather data. To read the announcement of Azure Map's collaboration with AccuWeather, see [Rain or shine: Azure Maps Weather Services will bring insights to your enterprise](https://azure.microsoft.com/blog/rain-or-shine-azure-maps-weather-services-will-bring-insights-to-your-enterprise/).
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Azure Maps is built with the collaboration of world-class mobility and location technology partners, including AccuWeather, who provides the underlying weather data. To read the announcement of Azure Map's collaboration with AccuWeather, see [Rain or shine: Azure Maps Weather service will bring insights to your enterprise](https://azure.microsoft.com/blog/rain-or-shine-azure-maps-weather-services-will-bring-insights-to-your-enterprise/).
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AccuWeather has real-time weather and environmental information available anywhere in the world, largely because of their partnerships with many governmental weather agencies and other proprietary arrangements. A list of this foundational information is provided below.
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Many weather forecast guidance systems are used to formulate global forecasts. Over 150 numerical forecast models are used each day, both external and internal datasets. These models include government models such as the European Centre ECMWF and the U.S. Global Forecast System (GFS). Also, AccuWeather incorporates proprietary high-resolution models that downscale forecasts to specific locations and strategic regional domains to predict weather with further accuracy. AccuWeather’s unique blending and weighting algorithms have been developed over the last several decades. These algorithms optimally apply the many forecast inputs to provide highly accurate forecasts.
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- name: Weather services coverage and availability
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- name: Weather service coverage and availability
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questions:
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What kind of coverage can I expect for different countries/regions?
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- name: Developing with Azure Maps SDKs
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questions:
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Does Azure Maps Web SDK natively support Weather services integration?
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Does Azure Maps Web SDK natively support Weather service integration?
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The Azure Maps Web SDK provides a services module. The services module is a helper library that makes it easy to use the Azure Maps REST services in web or Node.js applications. by using JavaScript or TypeScript. To get started, see our [documentation](./how-to-use-services-module.md).
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Does Azure Maps Android SDK natively support Weather services integration?
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Does Azure Maps Android SDK natively support Weather service integration?
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The Azure Maps Android SDKs supports Mercator tile layers, which can have x/y/zoom notation, quad key notation, or EPSG 3857 bounding box notation.
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* [MSFT Q&A page for Azure Maps](/answers/topics/azure-maps.html).
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* Microsoft Support. To create a new support request, in the [Azure portal](https://portal.azure.com/), on the Help tab, select the **Help +** support button, and then select **New support request**.
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Learn how to request real-time and forecasted weather data using Azure Maps Weather services:
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Learn how to request real-time and forecasted weather data using Azure Maps Weather service:
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> [!div class="nextstepaction"]
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> [Request Real-time weather data ](how-to-request-weather-data.md)
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