A new dynamic approach for statistical optimization of GNSS radio occultation bending angles for optimal climate monitoring utility
Department of Environment, Land, Water and Planning · RMIT University · +2 more institutions
Abstract
Abstract Global Navigation Satellite System (GNSS)‐based radio occultation (RO) is a satellite remote sensing technique providing accurate profiles of the Earth's atmosphere for weather and climate applications. Above about 30 km altitude, however, statistical optimization is a critical process for initializing the RO bending angles in order to optimize the climate monitoring utility of the retrieved atmospheric profiles. Here we introduce an advanced dynamic statistical optimization algorithm, which uses bending angles from multiple days of European Centre for Medium‐range Weather Forecasts (ECMWF) short‐range forecast and analysis fields, together with averaged‐observed bending angles, to obtain background…
Citation impact
- FWCI
- 95.91
- Percentile
- 100%
- References
- 60
Authors
9- YLYuncang LiCorresponding
Department of Environment, Land, Water and Planning, RMIT University
- GKGottfried Kirchengast
University of Graz, Institute of Geology and Geophysics
- BSBarbara Scherllin‐Pirscher
University of Graz, Institute of Geology and Geophysics
- SWSuqin Wu
Department of Environment, Land, Water and Planning, RMIT University
- MSMarc Schwaerz
University of Graz, Institute of Geology and Geophysics
Topics & keywords
- Radio occultation
- GNSS applications
- Environmental science
- Remote sensing
- Meteorology
- Satellite
- Numerical weather prediction
- Initialization
- Climate action