Improvements in the GISTEMP Uncertainty Model
Goddard Institute for Space Studies · Columbia University · +4 more institutions
Abstract
Abstract We outline a new and improved uncertainty analysis for the Goddard Institute for Space Studies Surface Temperature product version 4 (GISTEMP v4). Historical spatial variations in surface temperature anomalies are derived from historical weather station data and ocean data from ships, buoys, and other sensors. Uncertainties arise from measurement uncertainty, changes in spatial coverage of the station record, and systematic biases due to technology shifts and land cover changes. Previously published uncertainty estimates for GISTEMP included only the effect of incomplete station coverage. Here, we update this term using currently available spatial distributions of source data, state‐of‐the‐art…
Citation impact
- FWCI
- 67.30
- Percentile
- 100%
- References
- 48
Authors
7- NLNathan LenssenCorresponding
Goddard Institute for Space Studies, Columbia University
- GAGavin A. Schmidt
Goddard Institute for Space Studies
- JEJames E. Hansen
Earth Island Institute, Health Awareness (United States), Columbia University
- MJMatthew J. Menne
NOAA National Centers for Environmental Information
- APAvraham Persin
Goddard Institute for Space Studies, Scispace (United States)
Topics & keywords
- Environmental science
- Meteorology
- Data assimilation
- Climatology
- Interpolation (computer graphics)
- Uncertainty analysis
- Homogenization (climate)
- Statistics
- Life below water