Target Audience:
Weather Enthusiasts or Researchers including Meteorologists and Weather Analysts, Developers who want to integrate weather data into their applications, and anyone who needs customized weather data based on specific coordinates or parameters.
Amalgamation Service
The "Amalgamation Service" in the NIBIO Weather API is designed to integrate weather data from multiple sources, providing a comprehensive dataset for a specified location. This service aggregates information from various weather models and observational data to deliver accurate and localized weather information.
How It Works:
Data Collection:
The service gathers weather data from multiple sources, including numerical weather models, satellite observations, and ground-based weather stations.
Data Integration:
It combines these datasets, aligning them spatially and temporally to create a unified representation of the weather conditions for a specific location.
Data Delivery:
The amalgamated data is then made accessible through the API, allowing users to retrieve comprehensive weather information for their area of interest.
Enter the coordinates of your location and click download CSV button to download a CSV file containing the amalgamated weather data of your location.
Example Usage:
Suppose you're in Lilongwe, Central Region, Malawi, and you want to obtain the weather data from 13-01-2025 to 16-01-2025 using the Amalgamation Service. You would make an API request specifying your location's coordinates (e.g., latitude: -14.159339, longitude: 33.776864). The service would then return the amalgamated weather data for that location.
We will use the following coordinates to query amalgamated weather data for our location (Lilongwe, Malawi):
latitude = -14.159339
longitude = 33.776864
We will send a request to this end point: https://irh.nibio.no/weather/amalgamation/amalgamate?longitude=33.776864&latitude=-14.159339&timeStart=2025-01-13&timeEnd=2025-01-16&interval=3600¶meters=2001,1002,3002,3101
Lilongwe Weather Data (2025-01-13 to 2025-01-16)
| Time (UTC) | Temperature (°C) | Precipitation (mm) | Mean relative Humidity (%) | Leaf Wetness in 2m |
|---|---|---|---|---|
| 2025-01-12T23:00:00Z | 17.33 | 0.0 | 92.08 | 60.0 |
| 2025-01-13T00:00:00Z | 17.38 | 0.0 | 90.91 | 60.0 |
| 2025-01-13T01:00:00Z | 17.63 | 0.0 | 88.35 | 60.0 |
| 2025-01-13T02:00:00Z | 17.28 | 0.0 | 88.32 | 60.0 |
| 2025-01-13T03:00:00Z | 16.88 | 0.0 | 89.72 | 60.0 |
| 2025-01-13T04:00:00Z | 17.43 | 0.0 | 87.77 | 60.0 |
| 2025-01-13T05:00:00Z | 20.28 | 0.0 | 79.31 | 0.0 |
| 2025-01-13T06:00:00Z | 23.38 | 0.0 | 63.78 | 0.0 |
| 2025-01-15T19:00:00Z | 19.85 | 0.0 | 88.0 | 60.0 |
| 2025-01-15T20:00:00Z | 19.65 | 0.0 | 80.0 | 0.0 |
| 2025-01-15T21:00:00Z | 19.05 | 0.0 | 83.0 | 0.0 |
| 2025-01-15T22:00:00Z | 18.90 | 0.0 | 87.0 | 60.0 |
NB: Some rows have been omitted for brevity
Response Explanation
Temperature (°C): Air temperature measured in degrees Celsius.
Precipitation (mm): Amount of precipitation measured in millimeters.
Mean relative Humidity at 2m: Average relative humidity measured at a height of 2 meters above the ground.
Leaf Wetness in 2m: Refers to the amount of time, measured in minutes per hour, during which leaf surfaces are wet due to dew, rain, or other moisture at a height of 2 meters above the ground.