Interpolating the isotopic composition of modern meteoric precipitation
University of California, Santa Cruz · University of Minnesota · +1 more institution
Abstract
An accurate representation of the spatial distribution of stable hydrogen and oxygen isotopes in modern precipitation is required for many hydrological, paleoclimate, and ecological applications. No standardized method for achieving such a representation exists, and potential errors associated with previously employed methods are not understood. Using resampling, we test the accuracy of interpolated δD and δ 18 O estimates made using four methods. Prediction error for all methods is strongly related to number of data and will likely decline with the addition of new data. The best method lowers estimation error by 10–15% relative to others tested and gives an average error, using all available data, ≈2.5% of…
Citation impact
- FWCI
- 30.27
- Percentile
- 100%
- References
- 33
Authors
2Topics & keywords
- Resampling
- Precipitation
- Environmental science
- Sampling (signal processing)
- Confidence interval
- Representation (politics)
- Robustness (evolution)
- Statistics