Abstract
A statistical framework for modeling space‐time rainfall using radar and rain gage observations is developed. Three principal tasks are involved in implementing our statistical model. These tasks are referred to as sampling (that is, characterization of the error structure of radar and rain gage measurements of rainfall, modeling), (that is, specification of a stochastic model for space‐time rainfall), and parameter estimation. It is emphasized that sampling, modeling, and parameter estimation are interrelated and equally important tasks. Our statistical model is applied to daily rainfall fields in the tropical Atlantic region covered by the GATE experiment.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1893-1900 |
| Number of pages | 8 |
| Journal | Water Resources Research |
| Volume | 23 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 1987 |
All Science Journal Classification (ASJC) codes
- Water Science and Technology
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