Spatio-temporal detection of fog and low stratus top heights over the Yellow Sea with geostationary satellite data as a precondition for ground fog detection — A feasibility study
Authors:
- 1 January 2015
- journal article
- Published by Elsevier in Atmospheric Research
- Vol. 151, 212-223
Abstract
No abstract availableKeywords
Funding Information
- China Scholarship Council
This publication has 30 references indexed in Scilit:
- Evaluation of single field‐of‐view cloud top height retrievals from hyperspectral infrared sounder radiances with CloudSat and CALIPSO measurementsJournal of Geophysical Research: Atmospheres, 2013
- Detecting ground fog from space – a microphysics-based approachInternational Journal of Remote Sensing, 2011
- Development of a Cloud-Top Height Estimation Method by Geostationary Satellite Split-Window Measurements Trained with CloudSat DataJournal of Applied Meteorology and Climatology, 2010
- Seasonal Variations of Yellow Sea Fog: Observations and Mechanisms*Journal of Climate, 2009
- European climatology of fog and low stratus based on geostationary satellite observationsQuarterly Journal of the Royal Meteorological Society, 2009
- A New Vertical Diffusion Package with an Explicit Treatment of Entrainment ProcessesMonthly Weather Review, 2006
- Ground Fog Detection from Space Based on MODIS Daytime Data—A Feasibility StudyWeather and Forecasting, 2005
- Eight Years of High Cloud Statistics Using HIRSJournal of Climate, 1999
- Adjustment of the Convective-Stratiform Technique (CST) to estimate 1991/93 El Nino rainfall distribution in Ecuador and Peru by means of Meteosat-3 IR dataInternational Journal of Remote Sensing, 1997
- Numerical Study of Convection Observed during the Winter Monsoon Experiment Using a Mesoscale Two-Dimensional ModelJournal of the Atmospheric Sciences, 1989