The Climate Data Guide is a community-authored resource. The Guide will be a living repository for the climate community’s collective wisdom and expertise on a broad array of observational datasets and their appropriate use in analyses and model evaluation.
For more about the effort and to reference it in your work, please see the open-access article:
2013), Climate Data Guide Spurs Discovery and Understanding, Eos Trans. AGU, 94(13), 121. [article], , , and (
Be a part of it! Usage of the Climate Data Guide has grown more than 7-fold since Jan 2012.
The 1-2-3 steps of contributing are described below.
We are particularly looking to establish pages on observational or reanalysis datasets that meet the following criteria:
1. What are the key strengths of this data set?
2. What are the key limitations of this data set?
3. What are the typical research applications of these data? What are examples from your work?
4. What are some common mistakes that users encounter when processing or interpreting these data?
5. What are the likely spurious (non-climatic) features, if any, of timeseries derived from these data?
6. What corrections were applied to account for changes in observing systems, sampling methods or density, and satellite drift or degredation?
7. Describe any conversion steps that are necessary or general strategies to compare these data with model output.
8. What are some comparable data sets, if any? Why use this data set instead of another?
9. How is uncertainty characterized in these data?
10. Provide a summary statement about these data and their utility for climate research and model evaluation.
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ICOADS (International Comprehensive Ocean-Atmosphere Data Set) is the most comprehensive archive of global marine surface climate observations available. Variables include SST, SLP, air temperature, wind speed, cloud amount, and others. There is no processing beyond initial quality control. ICOADS data are packaged in several different formats with different time periods, timesteps, and grid...
"WASWind (Wave and Anemometer-based Sea Surface Wind) provides a bias-corrected marine surface wind dataset over the global oceans. Variables include scalar, zonal and meridional winds at 10-meter high, and zonal and meridional components of wind stress. WASWind has been constructed from wind observations in ICOADS (International Comprehensive Ocean-Atmosphere Data Set) and is available at...
A regularly updated monthly timeseries of ocean heat content, based on Argo profiles, is integrated over 10-1500m depth and the latitudes 60°S-60°N. Coverage begins in 2005. It is estimated based on the method described in von Schuckmann and Le Traon (2011) and discussed in the context of other methods below.
The Atmospheric Infrared Sounder (AIRS) project has generated decadal-length, global, gridded data sets of temperature and specific humidity for several standard levels in the troposphere for the obs4MIPS project. This obs4MIPS version of the AIRS data are available at monthly resolution, 1ºx1º grids and formatted to facilitate easier comparisons with CMIP5 model output. The gridded data are...
Cloud processes and feedbacks are recognized as the largest uncertainty in climate model projections of climate change. Progress in understanding the roles of clouds in climate change has in part been hampered by the lack of a consistent definition of clouds and cloud types in models and observations. It has been difficult to compare model output to observations, or even to compare model...