The global navigation satellite system (GNSS) has the capacity for remote sensing of water
vapor content in the atmosphere. Post-processing of GNSS data can provide integrated …

This study conducts the first large-sample comparison of the impact of dropsondes in the
tropical cyclone (TC) inner core, vortex, and environment on NWP-model TC forecasts. We …

During a 6-day intensive observing period in January 2021, Atmospheric River
Reconnaissance (AR Recon) aircraft sampled a series of atmospheric rivers (ARs) over the …

Current climate models have difficulty representing realistic wave–mean flow interactions,
partly because the contribution from waves with fine vertical scales is poorly known. There …

Abstract Atmospheric River Reconnaissance has held field campaigns during cool seasons
since 2016. These campaigns have provided thousands of dropsonde data profiles, which …

Increasing the density of Global Navigation Satellite System radio occultation (RO) with
commercial Smallsats and the next generation COSMIC-2 constellation is expected to …

Satellites provide the largest dataset for monitoring the earth system and constraining
analyses in numerical weather prediction models. A significant challenge for utilizing …

Understanding satellite system-specific artifacts and geophysical phenomena affecting
coordinate estimates using multi-Global Navigation Satellite System (GNSS) data is of vital …

The lack of high vertical resolution atmospheric thermodynamic structure observations
inside or near major weather events impedes our understanding of physical processes and …

Atmospheric rivers (ARs) are the source of a large fraction of precipitation along the US West
Coast and the cause of the majority of major floods in this region. The goal of AR Recon is to …