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

Water vapor transport is a crucial process in modeling and can contribute to errors in
precipitation forecasts. To investigate the sensitivity of precipitation to the moisture advection …

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

In this study, the Ensemble-based Forecast Sensitivity to Observations (EFSO) technique
was used to examine the impact of assimilated sensitive observations on the forecast of …

This manuscript introduces an exploratory case study of the SIMFAC's (Sistema de
Información Meteorológica de la Fuerza Aérea Colombiana) operational implementation of …

The assimilation of Doppler radar radial wind observations is important for improving tropical
cyclone (TC) prediction. However, the specific impacts and contributions of these …

A 200-member ensemble developed at the Center for Western Weather and Water Extremes
based on the Weather Research and Forecast atmospheric model tailored for the prediction …

Natural gas power generation has the advantages of flexible operation, short start–stop
times, and fast ramp rates. It has a strong peaking capacity and speed compared to coal …

Near space is an important airspace of the earth's atmosphere. Detecting the characteristics
of the atmospheric environment in the near space is the key to understanding the laws of …