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http://hdl.handle.net/10773/9185| Title: | Kalman filtering approach in the calibration of radar rainfall data: a comparative analysis of state space representations |
| Author: | Costa, Marco Monteiro, Magda Gonçalves, A. Manuela |
| Keywords: | Kalman filter State space model Rainfall estimates Weather radar Calibration Nonparametric estimation |
| Issue Date: | 2012 |
| Publisher: | Nova Science Publishers |
| Abstract: | In this chapter it is presented a comparative study of some methods to estimate radar rainfall in real time. This work in- tends to discuss and compare different state space formulations based on a same data set; for instance, the comparison between the mode- ling of the mean field radar rainfall logarithmic bias (Chumchean et al., 2006), a linear radar-rain gauge calibration model (Alpuim & Barbosa, 1999; Costa & Alpuim, 2011) and a power law model (Brown et al., 2001). |
| URI: | http://hdl.handle.net/10773/9185 |
| ISBN: | 978-1-62081-551-9 |
| Publisher Version: | https://www.novapublishers.com/catalog/product_info.php?products_id=30548 |
| Appears in Collections: | CIDMA - Capítulo de livro ESTGA - Capítulo de livro PSG - Capítulo de livro |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Chapter.ID_5898_6x9.pdf | Documento principal | 1.04 MB | Adobe PDF | View/Open |
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