To comprehensively characterize convective precipitation in the central Amazon region, we
utilize the Python FLEXible object TRacKeR (PyFLEXTRKR) to track mesoscale convective …

Studies have shown that assimilating the radio occultation (RO) observations, including
those from the FORMOSAT‐3/COSMIC (constellation observing systems for meteorology …

Assimilating the proper amount of water vapor into a numerical weather prediction (NWP)
model is essential in accurately forecasting a heavy rainfall. Radar data assimilation can …

As the successor of FORMOSAT-3/COSMIC (FS3/C1), FORMOSAT-7/COSMIC-2 (FS7/C2)
was successfully launched on 25 June 2019. FS3 radio occultation (RO) data has …

The international radio occultation (RO) community is conducting a collaborative effort to
explore the impact of a large number of RO observations on numerical weather prediction …

Abstract FORMOSAT-7/COSMIC-2 radio occultation (RO) measurements show promise for
observing the deep troposphere and for providing critical information on the Earth's …

For more than three decades, Global Navigation Satellite Systems (GNSS) have been
essential sensors for monitoring ground deformations and the state of the atmosphere …

In this study, a forecasting model was developed based on the COAWST and atmospheric
3D EnVar module to investigate the effects of assimilation of the sounding and COSMIC–2 …

A regional hybrid gain data assimilation (HGDA) system is newly developed using Weather
Research and Forecasting model (WRF). The WRF-HGDA augments an ensemble-based …

This study assesses the impact of Global Navigation Satellite System radio occultation (RO)
data assimilation (DA) on low‐predictability atmospheric river (AR) landfall forecasts. The …