Hosted datasets

The indices offered through Climdex have been already calculated for several observational datasets. Although these source datasets are described as gridded analyses, we often offer data for the individual stations too. For the most up-to-date and quality-controlled dataset use HadEX3. If you need near-realtime data use GHCNDEX. HadEX2 is hosted here for comparison studies.

We offer time series for stations where available, whereas for gridded products we also offer average maps, trend maps and raw yearly data across any spatial domain. These products are variously available as text files, NetCDF files and image files.

Name Description Resolution Years Reference Access
HadEX3 HadEX3 is a gridded analysis using approximately 7,000 stations for temperature and 17,000 stations for precipitation to cover the period 1901-2018.
Two versions of HadEX3 are available, one using a reference period of 1961-1990 and another using a reference period of 1981-2010 (this latter dataset only contains indices dependent on the reference period, i.e. it only contains percentile-based indices).
Robert Dunn maintains a blog about the the HadEX3 dataset here and the United Kingdom Met Office homepage for the HadEX3 dataset can be found here.
1.875°×1.25° 1901–2018 Dunn et al. 2020
HadEX2 HadEX2 is a gridded analysis of between 7,000 and 11,000 high quality stations over the 1901–2010 period. 3.75°×2.5° 1901–2010 Donat et al. 2013a
GHCNDEX GHCNDEX is a gridded analysis of long-term stations from the Global Historical Climatology Network (GHCN)-Daily dataset. It is regularly updated with new observations, although more recent data may not be available in some regions. 2.5°×2.5° 1951–present Donat et al. 2013b
REGEN LONG V1 (Masked) A global land-based gridded dataset of daily precipitation at degree resolution from 1950 to 2016. The masked tag denotes that this dataset has been quality masked to give better observation. This dataset interpolates daily precipitation only the long-term stations (stations with at least 40 complete years of data). A second related dataset interpolates all daily precipitation stations available regardless of completeness of station timeseries. Besides the grid cell average precipitation amount per day (mm/day), the Yamamoto standard deviation per grid cell (mm/day), the kriging error per grid cell (%) and number of stations per grid cell variables are also included. 1°×1° 1950-2016 Contracter et al. 2019
REGEN LONG V1 (Unmasked) A global land-based gridded dataset of daily precipitation at 1 degree X 1 degree resolution from 1950 to 2016. The unmasked tag denotes that the dataset has NOT been quality masked, offering more unreliable observational data. This dataset interpolates daily precipitation only the long-term stations (stations with at least 40 complete years of data). A second related dataset interpolates all daily precipitation stations available regardless of completeness of station timeseries. Besides the grid cell average precipitation amount per day (mm/day), the Yamamoto standard deviation per grid cell (mm/day), the kriging error per grid cell (%) and number of stations per grid cell variables are also included. 1°×1° 1950-2016 Contracter et al. 2019

Third-party datasets hosted by us

We also host the following datasets on climdex, but they are not part of the climdex.org project.

Name Description Resolution Years Reference Access
AGCD v1 Australian Gridded Climate Data (AGCD) / Australian Water Availability Project (AWAP) is the Bureau of Meteorology's official dataset for climate analyses covering the variables of rainfall, temperature (maximum and minimum) as well as vapour pressure at daily and monthly timescales. The dataset provides consistent temporal and spatial analyses across Australia for each observed data variable. This accounts for spatial and temporal gaps in observations. Where possible, the gridded analysis techniques provide useful estimates in data-sparse regions such as central Australia. 0.25°×0.25° 1900-2022 Australian Bureau of Meteorology 2020
BEST BEST (Berkeley Earth Surface Temperature) provides high-resolution land and ocean time series data and gridded temperature data. Their peer-reviewed methodology incorporates more temperature observations than other available products, and often has better coverage. BEST is updated frequently on their website. 1°×1° 1880–2019 Rohde et al. (2013)
APHRODITE APHRODITE’s (Asian Precipitation - Highly-Resolved Observational Data Integration Towards Evaluation) gridded precipitation is a set of long-term (1951 onward) continental-scale daily products that is based on a dense network of rain-gauge data for Asia including the Himalayas, South and Southeast Asia and mountainous areas in the Middle East. We currently offer observations over SE Asia (lat: -14.75°24°N, lon: 90.25°144.75°E) .25°×0.25° 1951–2016 Yatagai et al. (2012)

External datasets

Pre-computed Climdex indices for a number of climate models in the Coupled Model Intercomparison Project — Phase 3 (CMIP3) and Phase 5 (CMIP5) are available from Environment Canada.

References

  • Donat, M. G., L. V. Alexander, H. Yang, I. Durre, R. Vose, R. J. H. Dunn, K. M. Willett, E. Aguilar, M. Brunet, J. Caesar, B. Hewitson, C. Jack, A. M. G. Klein Tank, A. C. Kruger, J. Marengo, T. C. Peterson, M. Renom, C. Oria Rojas, M. Rusticucci, J. Salinger, A. S. Elrayah, S. S. Sekele, A. K. Srivastava, B. Trewin, C. Villarroel, L. A. Vincent, P. Zhai, X. Zhang and S. Kitching. 2013a. Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: The HadEX2 dataset, J. Geophys. Res. Atmos., 118, 2098–2118. doi: 10.1002/jgrd.50150.
  • Donat, M.G., L.V. Alexander, H. Yang, I. Durre, R. Vose, J. Caesar. 2013b. Global Land-Based Datasets for Monitoring Climatic Extremes, Bull. Amer. Meteor. Soc., 94, 997–1006. doi: 10.1175/BAMS-D-12-00109.1.
  • Dunn, R. J. H., Alexander, L. V., Donat, M. G., Zhang, X., Bador, M., Herold, N., et al. 2020. Development of an updated global land in-situ-based dataset of temperature and precipitation extremes: HadEX3, JGR: Atmospheres, 125, e2019JD032263. doi: 10.1029/2019JD032263.
  • Rohde R, Muller RA, Jacobsen R, Muller E, Perlmutter S, et al. (2013) A New Estimate of the Average Earth Surface Land Temperature Spanning 1753 to 2011. Geoinfor Geostat: An Overview 1:1. doi: 10.4172/2327-4581.1000101.
  • Contractor, Stefan 2019. Rainfall Estimates on a Gridded Network based on all station data v1-2019 NCI National Research Data Collection, doi: 10.25914/5ca4c380b0d44 Contractor, Steefan & G. Donat, Markus & V. Alexander, Lisa & Ziese, Markus & Meyer-Christoffer, Anja & Schneider, Udo & Rustemeier, Elke & Becker, Andreas & Durre, Imke & S. Vose, Russell. (2019). Rainfall Estimates on a Gridded Network (REGEN) – A global land-based gridded dataset of daily precipitation from 1950–2013. Hydrology and Earth System Sciences Discussions. 1-30. 10.5194/hess-2018-595.
  • Yatagai, A., K. Kamiguchi, O. Arakawa, A. Hamada, N. Yasutomi, and A. Kitoh, 2012: APHRODITE: Constructing a Long-Term Daily Gridded Precipitation Dataset for Asia Based on a Dense Network of Rain Gauges. Bull. Amer. Meteor. Soc., 93, 1401–1415, 10.1175/BAMS-D-11-00122.1.
  • Australian Bureau of Meteorology (2020), "Australian Gridded Climate Data ( AGCD ) / AWAP ; v1.0.0 Snapshot (1900-01-01 to 2020-06-30)". doi: 10.4227/166/5a8647d1c23e0.