How does assimilating a large commercial GNSS RO dataset impact HAFS hurricane forecasts? An evaluation in support of the ROMEX experiment [PDF]
While Global Navigation Satellite System (GNSS) radio occultation (RO) data assimilation improves tropical cyclone (TC) intensity forecasts, the scaling of these impacts with RO observation volume remains unclear.
W. J. Miller, Y. Chen, S.-P. Ho, X. Shao
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Radio occultation (RO) is a technique used for measuring planetary atmosphere properties by orbiting satellites, like temperature, pressure, and water vapor.
Karl Philippe A. Descalzo +1 more
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Global Navigation Satellite System (GNSS) Radio Occultation (RO) and GNSS Reflectometry (GNSS-R) are the two major spaceborne GNSS remote sensing (GNSS-RS) techniques, providing observations of atmospheric profiles and the Earth’s surface. With the rapid
Weihua Bai +11 more
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Prospects for meteotsunami detection in earth's atmosphere using GNSS observations. [PDF]
Vergados P +6 more
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Kalman Filter-based Robust Closed-loop Carrier Tracking of Airborne GNSS Radio-Occultation Signals. [PDF]
Wang Y, Yang R, Morton YT.
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Uncertainty Propagation From Radio Occultation Profiles to Aggregated Atmospheric Gridded Fields
Radio occultation is a well‐established remote sensing method that provides reliable estimates of atmospheric profiles of diverse variables, including temperature and pressure.
S. Scher +4 more
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Comparative and Quality Analysis of Radio Occultation Data from FY-3E/GNOS and COSMIC-2
Radio Occultation data are of great value in numerical weather forecasting and climate monitoring.This study evaluates the deviation characteristics of occultation data from the FY-3E/GNOS and COSMIC-2 satellites with ERA5 reanalysis data.The results ...
Shihan WANG +2 more
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The three-dimensional plasma structures and flows of the Earth's upper atmosphere due to the Moon's gravitational force. [PDF]
Liu JY, Wu TY, Lin CY, Chang LC.
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Resolving the 21st century temperature trends of the upper troposphere-lower stratosphere with satellite observations. [PDF]
Ladstädter F, Steiner AK, Gleisner H.
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A novel neural network model of Earth's topside ionosphere. [PDF]
Smirnov A +6 more
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