ICPAC Climate Data Library

Climate Data Library

The Data Library is a powerful and freely accessible online data repository and analysis tool that allows a user to view, analyze, and download hundreds of terabytes of climate-related data through a standard web browser.

It is a powerful tool that offers the following capabilities at no cost to the user:

  • access any number of datasets;
  • create analyses of data ranging from simple averaging to more advanced EOF analyses using the Ingrid Data Analysis Language;
  • monitor present climate conditions with maps and analyses in the ICPAC Maproom;
  • create visual representations of data, including animations;
  • download data in a variety of commonly-used formats, including GIS-compatible formats.
ICPAC Map Room
The maproom is a collection of maps and other figures that monitor climate and societal conditions at present and in the recent past. The maps and figures can be manipulated and are linked to the original data.
Djibouti Maproom
Maproom focused on Djibouti climate information for agriculture, climate monitoring, climatology, and climate forecasts
South Sudan Maproom
Maproom focused on South Sudan climate information for agriculture, climate monitoring, climatology, and climate forecasts
Kenya
Maproom focused on Kenya climate information for agriculture, climate monitoring, climatology, and climate forecasts.
Data by Source
Datasets organized by source, i.e. creator and/or provider.
Navigating Through the IRI Data Library: A Tutorial
The goal of this tutorial is to introduce you to the structure of the Data Library and the many ways to navigate through it.
Statistical Techniques in the Data Library: A Tutorial
Statistical techniques are essential tools for analyzing large datasets; this statistics tutorial thus covers essential skills for many data library users.
Function Index
Index for functions that can be used to analyze data within the Data Library.
Help Resources
The Help Resources include basic and statistics tutorials, function documentation, and other resources to help you get the maximum utility out of the Data Library
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