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http://hdl.handle.net/20.500.11765/2547
Variational bias correction of GNSS ZTD in the HARMONIE modeling system
Título : | Variational bias correction of GNSS ZTD in the HARMONIE modeling system |
Autor : | Sánchez Arriola, Jana
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Palabras clave : | Data assimilation; Mesoscale models; Global Navigation Satellite System (GNSS); Modelos de mesoescala |
Fecha de publicación : | 2016 |
Editor: | American Meteorological Society |
Citación : | Journal of Applied Meteorology and Climatology. 2016, 55(5), p. 1259–1276 |
Versión del editor: | http://dx.doi.org/10.1175/JAMC-D-15-0137.1 |
Resumen : | To fill the gap in the observation system for humidity, the HIRLAM–ALADIN Research on Mesoscale Operational NWP in Euromed(HARMONIE) limited-area high-resolution kilometer-scale model has been prepared for assimilation of Global Navigation Satellite System (GNSS) zenith total delay (ZTD) observations. The observation-processing system includes data selection, bias correction, quality control, and a GNSS observation operator for data assimilation. A large part of the bias between observations and model equivalents comes from the relatively low model top used in the HARMONIE experiments. The functionality of the different observation-processing components was investigated in detail as was the overall performance of the GNSS ZTD data assimilation. This paper contains an extensive description of the GNSS ZTD observation-processing system and a comparison of a newly introduced variational bias correction for GNSS ZTD data with an alternative static bias correction, as well as a detailed analysis of the impact of GNSS ZTD data, both in terms of statistical evaluations over a longer period and in terms of individual case studies. Assimilation of the GNSS ZTD observations with a variational bias correction has improved the quality of short-range weather forecasts for the moisture-related parameters in particular, both in a statistical sense and in individual case studies. The paper also discusses further improvements in the HARMONIE variational data-assimilation system that are needed to fully utilize the potential of high-resolution GNSS ZTD observations. |
URI : | http://hdl.handle.net/20.500.11765/2547 |
ISSN : | 1558-8424 1558-8432 |
Colecciones: | Artículos científicos 2015-2018 |
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