GNSS in Meteorology and Climatology

Dear Colleagues,

The Global Navigation Satellite System (GNSS) has become a key remote sensing technique of the global meteorological and climate observing systems over the past two decades. However, the timeliness and accuracy requirements from ground-based networks and low orbiting satellites for meteorology and climate monitoring are very different. On the one hand, GNSS tropospheric products derived from real-time and near real-time processing of GNSS observations are essential to improve the nowcasting and forecasting of severe weather events such as heavy precipitation and flash floods. On the other hand, the long time series of reprocessed GNSS observations have a high potential for monitoring trends and variability in atmospheric temperature and humidity and validating climate model simulations and reanalyses. This Special Issue mainly focuses on papers that address topics including but not limited to:

• Advances in GNSS data processing techniques for meteorology and climate monitoring (including real-time, near real-time, and post-processing).
• The study of GNSS data processing models and parametrizations (e.g., antenna models, tropospheric models) on the accuracy and homogeneity of long reprocessed time series.
• Assessment of accuracy and homogeneity of existing reprocessed GNSS data sets (e.g., IGS repro3) for use in climate studies.
• Advances in the homogenization of long-term GNSS data sets (e.g., statistical methods for change-point detection).
• Use of GNSS integrated water vapour (IWV) data for the validation of other remote sensing techniques (e.g., from satellites).
• Use of GNSS tropospheric temperature and humidity products for the validation of climate model simulations and reanalyses.
• Data science/machine learning for GNSS remote sensing. 

Dr. Olivier Bock
Dr. Galina Dick
Dr. Florian Zus
Dr. Tong Ning
Guest Editors

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