Results 51 to 60 of about 847 (167)
Capturing Extreme Water Vapor and Instability With High‐Resolution GNSS Monitoring
Atmospheric Science Letters, Volume 27, Issue 2, February 2026.This study used data from a high‐resolution Global Navigation Satellite System network (< 10 km spacing), including private stations, to analyze water vapor structure during a heavy rainfall event in Japan. The network captured localized extreme precipitable water vapor (> 70 mm) and a moist absolutely unstable layer near the humid core.
Mikiko Fujita
wiley +1 more source
Himawari-8 Sea Surface Temperature Products from the Australian Bureau of Meteorology
Remote SensingAs a contribution to the Integrated Marine Observing System (IMOS), the Bureau of Meteorology introduces new reprocessed Himawari-8 satellite-derived Sea Surface Temperature (SST) products.
Pallavi Govekar +5 more
doaj +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.Abstract Tropical cyclone (TC) intensity estimation remains a critical yet challenging task, especially for intense storms that are often underestimated by both conventional and deep learning satellite‐based methods. Among various structural features, eye formation is the most distinct transformation during TC development and is closely linked to rapid
Yi Liu +3 more
wiley +1 more source
Remote Sensing, 2018 Over several decades, improving the accuracy of Sea-Surface Temperatures (SSTs) derived from satellites has been a subject of intense research, and continues to be so. Knowledge of the accuracy of the SSTs is critical for weather and climate predictions,
Angela L. Ditri +4 more
doaj +1 more source
, 2015 Presentation given at the Satellite Oceanography Users Workshop, Melbourne, Australia, 9 - 11 Nov 2015.
openaire +1 more source
Detection of Tropical Overshooting Cloud Tops Using Himawari-8 Imagery [PDF]
Remote Sensing, 2017 Abstract: Overshooting convective cloud Top (OT)-accompanied clouds can cause severe weather conditions, such as lightning, strong winds, and heavy rainfall. The distribution and behavior of OTs can affect regional and global climate systems. In this paper, we propose a new approach for OT detection by using machine learning methods with multiple ...
Miae Kim +5 more
openaire +5 more sources
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.Abstract Tropical cyclones (TCs) pose significant threats to coastal communities and ecosystems underscoring the need for accurate and timely monitoring of their structure and intensity. Although satellite infrared (IR) imagery provides continuous global coverage, traditional methods for estimating TC parameters, such as center location, intensity, and
Chong Wang, Xiaofeng Li
wiley +1 more source
Assessment of FY‐2G Atmospheric Motion Vector Data and Assimilating Impacts on Typhoon Forecasts
Earth and Space Science, 2021 Atmospheric motion vectors (AMVs) have produced positive impacts on global weather forecasts, but few studies have evaluated the impacts of AMV data from the Fengyun (FY) geostationary satellite series, especially from FY‐2G and FY‐4, on typhoon ...
Jiahao Liang, Keyi Chen, Zhipeng Xian
doaj +1 more source
, 2015 Presentation given at the 16th GHRSST science meeting (XVI), ESA/ESTEC, The Netherlands, July 20 - 24, 2015.
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Journal of Geophysical Research: Atmospheres, Volume 131, Issue 1, 16 January 2026.Abstract Accurate retrieval of satellite‐derived aerosol optical depth (AOD) is critical for air quality forecasting, especially when AOD is assimilated into models. However, if retrieval errors in the satellite‐derived AOD are not corrected or characterized, they can lead to false analysis increments and ultimately degrade the quality of data ...
Joonhee Kim +6 more
wiley +1 more source