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Created: 10/29/2014 - Updated: 12/13/2018


As of June 30th 2016, the FetchClimate project will be closing.

FetchClimate provides ready access to complex geographical information including, but not limited to, climatological information. On accessing the FetchClimate Azure web service, you simply need to perform four steps to find what you are looking for:

  • Draw the location on the Earth via points or grids (Where?)
  • Specify the data of interest (What?)
  • Set the timeframe, including future predictions, and a combination of averages over—or steps through—years, days, and hours (When?)
  • Fetch and view your results.

FetchClimate will choose the best data set for your query, and perform all the necessary regridding in space and time. It will return a best guess, uncertainty, and provenance for your query and display the results on the map for visual exploration. Alternatively, the FetchClimate service can be used directly via a simple API, from within programs written in any .NET language, Python, P or MatLab.


  • Area selection: enables selection of single or multiple regions or points
  • Data:
    • Delivers air temperature, precipitation, and much more
    • Intelligently selects a data source for each request, or enables the user to select particular data sets
  • Time series: retrieves annual, seasonal, monthly, and daily data
  • Output: presents the results graphically or export it to CSV
  • Provides access through the web interface, a client application, or programmatically through a REST API

To try online, download, or learn more, watch the latest tutorial video, or read the FetchClimate user guide (PDF, 2.24 MB).

FetchClimate was developed by the Computational Science Lab at Microsoft Research Cambridge, in collaboration with Microsoft Research Connections and the MSTLab at Moscow State University.


FetchClimate is a fast, free, intelligent, climate cloud-based information retrieval service.

Microsoft Research Cambridge was set up in July 1997 with three researchers. Today over 100 researchers, mostly from Europe, are engaged in computer science research at the lab. The city of Cambridge, England, was the clear choice for the location of the facility because of its world-renowned reputation and its rich history as a center of learning


Target Climate Changes and Impacts: 
Air temperature
Sea level rise
Storms or extreme weather events
Water temperature
Type of Tool: 
Type of Adaptation Action/Strategy: 
Capacity Building
Create/enhance resources and tools
Climate Type: 
Tool Cost: