N: 90 S: -90 E: 180 W: -180
Description
This is a data set of mean monthly surface climate data over global land areas, excluding Antarctica, for nearly all of the twentieth century. The data set is gridded at 0.5 degree latitude/longitude resolution and includes seven variables: precipitation, mean temperature, diurnal temperature range, wet-day frequency, vapour pressure, cloud cover, and ground-frost frequency. All variables have mean monthly values for the period 1901-1995, several have data as recent as 1998, and more data will be added by the data originators. In constructing the monthly grids the authors used an anomaly approach which attempts to maximize station data in space and time (New et al., 2000). In this technique, grids of monthly historic anomalies are derived relative to a standard normal period. Station measurement data for the years 1961-1990, extracted from the monthly data holdings of the Climatic Research Unit and the Global Historic Climatology Network (GHCN), served as the normal period (New et al., 1999). The anomaly grids were then combined with high-resolution mean monthly climatology to arrive at fields of estimated historical monthly surface climate. Data users are encouraged to see the companion file New et al. (2000) for a complete description of this technique and potential applications and limitations of the data set. For additional information, refer to the IPCC Data Distribution Centre. Access to the complete year-by-year monthly data set or to data more recent than posted here can be achieved by making a request with the Climate Impacts LINK Project at the Climatic Research Unit (email: d.viner@uea.ac.uk, web site: www.cru.uea.ac.uk/link ).
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Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.
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Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| Mapping the montane cloud forest of Taiwan using 12 year MODIS-derived ground fog frequency data | Schulz, Hans Martin, Li, Ching-Feng, Thies, Boris, Chang, Shih-Chieh, Bendix, Jorg | Precipitation Amount, Air Temperature, Water Vapor, Cloud Frequency, Maximum/Minimum Temperature, Freeze/Frost | |
| Critical loads of acidity for 90,000 lakes in northern Saskatchewan: A novel approach for mapping regional sensitivity to acidic deposition | Cathcart, H., Aherne, J., Jeffries, D.S., Scott, K.A. | Precipitation Amount, Air Temperature, Water Vapor, Cloud Frequency, Maximum/Minimum Temperature, Freeze/Frost | |
| The role of Cloud Affected Forests (CAFs) on water inputs to dams | Saenz, Leonardo, Mulligan, Mark | Precipitation Amount, Air Temperature, Water Vapor, Cloud Frequency, Maximum/Minimum Temperature, Freeze/Frost | |
| Release of Carbon Dioxide by Terrestrial Ecosystems Over Indonesia During the 1997-1998 ENSO Warm Event | Propastin, Pavel | Precipitation Amount, Air Temperature, Water Vapor, Cloud Frequency, Maximum/Minimum Temperature, Freeze/Frost | |
| Empirical Evidence for Impacts of Internal Migration on Vegetation Dynamics in China from 1982 to 2000 | Song, Conghe, Lord, Jackson W., Zhou, Liming, Xiao, Jingfeng | Precipitation Amount, Air Temperature, Water Vapor, Cloud Frequency, Maximum/Minimum Temperature, Freeze/Frost | |
| A remote sensing based monitoring system for discrimination between climate and human-induced vegetation change in Central Asia | Propastin, P.A., Kappas, M., Muratova, N.R. | Precipitation Amount, Air Temperature, Water Vapor, Cloud Frequency, Maximum/Minimum Temperature, Freeze/Frost | |
| Trends in vegetation activity and their climatic correlates: China 1982 to 1998 | Xiao, Jingfeng, Moody, A. | Precipitation Amount, Air Temperature, Water Vapor, Cloud Frequency, Maximum/Minimum Temperature, Freeze/Frost |