Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11765/8393
Homogenizing GPS integrated water vapour time series: methodology and benchmarking the algorithms on synthetic datasets
| Title: | Homogenizing GPS integrated water vapour time series: methodology and benchmarking the algorithms on synthetic datasets |
| Authors: | Van Malderen, Roeland; Pottiaux, Eric; Klos, Anna; Bock, Olivier; Bogusz, Janusz; Chimani, Barbara; Elias, Michal; Gruszczynska, Marta; Guijarro Pastor, José Antonio
; Zengin Kazancı, Selma; Ning, Tong |
| Keywords: | Water vapour; Time series; Algorithms; Homogenization; Synthetic datasets |
| Issue Date: | 2017 |
| Publisher: | World Meteorological Organization |
| Citation: | Szentimrey, Tamás; Hoffmann, Lilla; Lakatos, Mónika, eds. (2017). Ninth Seminar for Homogenization and Quality Control in Climatological Databases and Fourth Conference on Spatial Interpolation Techniques in Climatology and Meteorology. Geneva: World Meteorological Organization, p. 102-114 |
| Series/Report no.: | WCDMP;85 |
| Publisher version: | http://www.wmo.int/pages/prog/wcp/wcdmp/wcdmp_series/WCDMP_85.pdf |
| Sponsorship : | We would like to thank the COST Action ES1206 GNSS4SWEC for financial support. |
| URI: | http://hdl.handle.net/20.500.11765/8393 |
| Appears in Collections: | Estudios / Informes |
Files in This Item:
| File | Description | Size | Format | ||
|---|---|---|---|---|---|
 | Homogenizing_Guijarro... | 564,18 kB | Adobe PDF |  View/Open |
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