Get environmental information in four easy steps
FetchClimate provides ready access to complex geographical data.
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:
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
- 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
We are releasing FetchClimate in four different ways:
- A FetchClimate web service, running against a set of standard, useful climatological layers. Access that via the web explorer, or use the API to this service from inside a program.
- A deployment package for you to create your own FetchClimate-powered service. All you need is a Microsoft Azure account and some data you would like to populate into the service and potentially share with the world. Download the deployment package, which comes with the same web explorer that we used for the standard web service.
- The front-end web explorer will also be released open source, so you can rework and adapt it to work with you own FetchClimate-powered service. For example, you can rebrand the explorer to match your institution (all we ask is that you acknowledge that the service is powered by FetchClimate). This release is not ready just yet—please watch this space.
- A simple client app that lets you call the FetchClimate standalone from the command-line or link to your program in C, C#, or another Microsoft .NET language..
Note: All four releases are early versions of FetchClimate. If you choose to use our service or set up your own, you can enjoy all the excitement—plus possible unanticipated behavior—that early adopters often encounter.
Retrieve climatic and environmental information with the click of a button or a few lines of code
FetchClimate is a fast, free, intelligent, climate cloud-based information retrieval service. You can access FetchClimate through a simple web interface, or via a few lines of code in any .NET program. FetchClimate makes it easy for you to retrieve information for any geographical region, at any grid resolution—ranging from global to continental to a few kilometers. It also retrieves data for any range of years, months, and days within the year, and/or hours within the day. FetchClimate reports the uncertainty associated with the values it returns and lists the data sources it uses to fulfill the request. When multiple sources could potentially provide information on the same environmental variable, FetchClimate automatically selects the most appropriate data source. In addition, you can share your query as a single URL, enabling others to retrieve the identical information, or you can export the results as a CSV file.
- Matthew J. Smith, Paul I. Palmer, Drew W. Purves, Mark C. Vanderwel, Vassily Lyutsarev, Ben Calderhead, Lucas N. Joppa, Christopher M. Bishop, and Stephen Emmott, Changing how Earth System Modelling is done to provide more useful information for decision making, science and society., in Bulletin of the American Meteorological Society, American Meteorological Society, February 2014.
- Isabel M D Rosa, Drew Purves, Carlos Souza Jr, and Robert M Ewers, Predictive Modelling of Contagious Deforestation in the Brazilian Amazon, in PLOS One, PLoS, October 2013.
- FC Project, FetchClimate Walk-Through Tutorial, 2013.