The abrupt rise in extreme weather events (floods, heat waves, droughts, etc.) due to
changing climate in the last decades has increased the level of threats to various sectors …

Accurate forecasting of atmospheric rivers (ARs) holds significance in preventing losses
from extreme precipitation. However, traditional numerical weather prediction (NWP) models …

The main in situ database for numerical weather prediction currently relies on radiosonde
and airliner observations, with large systematic data gaps: horizontally in certain countries …

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 …

Abstract Atmospheric Rivers (ARs) are narrow bands of high-water vapor content in the low
troposphere of mid-latitude regions through which most of the poleward moisture is being …

This study focuses on two intensive observing periods (IOPs) that cause heavy rainfall over
California during the atmospheric river (AR) Reconnaissance Program in 2019. The impacts …

Atmospheric rivers (ARs) are filamentary regions of high moisture content in mid-latitude
regions through which most of the poleward moisture is being transported. These ARs carry …

The impact of assimilating dropsonde data from the 2020 Atmospheric River (AR)
Reconnaissance (ARR) field campaign on operational numerical weather forecasts was …

Typhoons frequently hit the Pearl River Delta (PRD), threatening the region's dense
population and assets. Typhoon precipitation forecasting in this region is challenging, in part …

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