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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A long (30-year+) data set of atmospheric temperatures for 4 tropopsheric and lower stratopsheric layers has been derived from brightness temperatures measured by the Microwave Sounding Unit (MSU) and Advanced Microwave Sounding Unit (AMSU). This page describes the data sets developed by Remote Sensing Systems (RSS); other options exist for comparisons. One of the most important adjustments...
The Palmer Drought Severity Index (PDSI) uses readily available temperature and precipitation data to estimate relative dryness. It is a standardized index that spans -10 (dry) to +10 (wet). It has been reasonably successful at quantifying long-term drought. However, monthly PDSI values do not capture droughts on time scales less than about 12 months; more pros and cons are discussed in the...
GRACE: Gravity Recovery and Climate Experiment: Surface mass, total water storage, and derived variables
The Gravity Recovery and Climate Experiment (GRACE) refers to a pair of NASA satellites that has flown in low-Earth orbit since 2002. The satellites use a precise microwave ranging system to measure the distance between themselves due to gravitational acceleration. Onboard GPS instruments determine the exact position of the satellites over the Earth. GRACE measures changes in Earth's gravity...
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...
The CERES-EBAF product provides 1-degree regional, zonal and global monthly mean Top-of-Atmosphere (TOA) and surface (SFC) longwave (LW), shortwave (SW), and net (NET) fluxes under clear and all-sky conditions. EBAF is used for climate model evaluation, estimating the Earth's global mean energy budget, and to infer meridional heat transport. The data synthesized to derive the CERES-...