How does the JSON output and object table of historical weather API of Ambee function?

In this article, I will provide a detailed explanation of the object table and JSON output of the Ambee historical weather API. As a programmer, you are likely familiar with these data structures, but understanding their specific implementation within the context of the Ambee API can be challenging. By the end of this article, you will have a clear understanding of the object table and JSON output format and how they can be leveraged to access historical weather data through the Ambee API.

Table

• message: A string containing any message related to the API response. This can include errors or warnings.

• data: The main object that contains all the data returned by the API. This object can contain multiple sub-objects, depending on the type of data requested.

• lat: The latitude of the location for which weather data is being requested.

• lng: The longitude of the location for which weather data is being requested.

• history: An object that contains historical weather data for the specified location and time. The data in this object can include precipitation, temperature, humidity, wind speed, and other weather-related variables.

• time: The timestamp for which weather data is being requested. This can be a specific date and time or a range of dates and times.

• precipIntensity: The intensity of precipitation in inches per hour.

• uvIndex: The current UV index at the location.

• temperature: The current temperature at the location in degrees Fahrenheit or Celsius.

• apparentTemperature: The "feels like" temperature, which takes into account factors such as wind chill or heat index.

• summary: A summary of the weather conditions at the location.

• icon: An icon representing the weather conditions at the location.

• dewPoint: The current dew point at the location.

• humidity: The current relative humidity at the location.

• pressure: The current atmospheric pressure at the location.

• windSpeed: The current wind speed at the location.

• windGust: The current wind gust speed at the location.

• windBearing: The current wind bearing in degrees.

• cloudCover: The current cloud cover at the location as a percentage.

• visibility: The current visibility at the location in miles or kilometers.

The information in the table is useful for a variety of applications that rely on weather data, such as agriculture, transportation, tourism, and energy production, among others. By providing detailed information on various weather parameters like precipitation, temperature, wind speed, and cloud cover, the API can help users make informed decisions related to their specific domain. For example, farmers can use historical weather data to optimize their crop yield, while transportation companies can use current weather data to plan their routes more efficiently. The API can also be useful for scientific research and weather forecasting, where accurate and up-to-date weather data is critical. Overall, the information in the table provides a comprehensive view of the weather conditions at a given location, which can be leveraged to make data-driven decisions in various fields.

Clarifying JSON output

The JSON output represents the weather data for a specific location at a given time. The "message" field indicates that the request to the API was successful. The "data" field contains the actual weather data, including the latitude and longitude of the location, as well as a "history" array that contains an object representing the weather conditions at a specific time. The "time" field within the "history" object specifies the timestamp of the weather data. The other fields within the "history" object represent various weather-related data points, such as temperature, humidity, pressure, wind speed, and cloud cover. Each of these fields provides a specific value for the weather data at the specified location and time. Overall, the JSON output provides a structured and organized way of representing weather data that can be easily processed and analyzed by a computer program.

{
"message": "success",
"data": {
"lat": 42.3601,
"lng": -71.058912,
"history": [
{
"time": 1606798800,
"precipIntensity": 0.0072,
"uvIndex": 0,
"precipType": "rain",
"temperature": 17.98,
"apparentTemperature": 18.02,
"summary": "Humid",
"icon": "clear-day",
"dewPoint": 15.22,
"precipProbability": 0.02,
"humidity": 0.84,
"pressure": 999.5,
"windSpeed": 7.28,
"windGust": 16.92,
"windBearing": 169,
"cloudCover": 1,
"visibility": 13.396,
"ozone": 259.3
}
]
}
}

Concluding

In this article, we discussed the object table and JSON output of the Ambee historical weather API, including a list of all the objects and their descriptions. We also provided an example of the JSON output of the API and explained its structure and significance. Understanding the object table and JSON output of the Ambee historical weather API is crucial for developers who are working with weather data, as it allows them to retrieve and process the information accurately and efficiently. By having a clear understanding of the objects and their associated data points, developers can utilize the weather data in their programming projects with greater ease and accuracy.

Footnote

If you are interested in accessing the Ambee historical weather API, you can request access to it through the third-party data marketplace of Worldindata. Worldindata provides a platform for developers and researchers to access a wide range of data sources, including weather data. The Ambee historical weather API is one of the many data sources available on the Worldindata marketplace. By requesting access to the Ambee historical weather API through Worldindata, you can benefit from the platform's streamlined process for accessing and managing data sources. Additionally, Worldindata provides support and guidance to help developers and researchers make the most of the data sources available on the platform. Overall, requesting access to the Ambee historical weather API through Worldindata is a convenient and efficient way to access the weather data you need for your programming projects or research.