NEAR REAL-TIME SATELLITE CLOUD PRODUCTS FOR NOWCASTING APPLICATIONS

Satellite imagery have been helpful in diagnosing certain meteorological conditions both subjectively and objectively in a nowcasting mode. However, such diagnoses are somewhat limited for automated usage because of a lack of quantification of the physical properties, especially those for clouds, observed in the imagery. With the continuous availability of wellcalibrated research satellites and the advent of more spectral channels and higher resolution on geostationary satellite imagers such the GOES-I (Geostationary Operational Environmental Satellite) series or Meteosat Second Generation SEVIRI (Spinning Enhanced Visible InfraRed Imager), it has become possible to provide better quantification of cloud properties that are useful for diagnosing conditions such as aircraft icing potential and ceiling height or for providing other information such as surface radiation, cloud water content, or other parameters that would be useful for energy, agriculture, or weather forecast assimilation. This paper describes a set of cloud and radiation products that are now available within a few minutes of satellite

[1]  Jianping Huang,et al.  Relationships between radiosonde and RUC‐2 meteorological conditions and cloud occurrence determined from ARM data , 2005 .

[2]  P. Minnis,et al.  Improvements in Near-Terminator and Nocturnal Cloud Masks using Satellite Imager Data over the Atmospheric Radiation Measurement Sites , 2005 .

[3]  P. Minnis,et al.  Comparison of Surface and Satellite-Derived Cloud and Radiation Properties at the Atmospheric Radiation Measurement Southern Great Plains and Tropical Western Pacific , 2005 .

[4]  M. Politovich.  The CIP inflight icing severity algorithm , 2004 .

[5]  Patrick Minnis,et al.  Diurnal, Seasonal, and Interannual Variations of Cloud Properties Derived for CERES From Imager Data , 2004 .

[6]  Patrick Minnis,et al.  Comparison of cirrus optical depths derived from GOES 8 and surface measurements , 2004 .

[7]  Patrick Minnis,et al.  A Real-Time Satellite-Based Icing Detection System , 2004 .

[8]  Barry E. Schwartz,et al.  An Hourly Assimilation–Forecast Cycle: The RUC , 2004 .

[9]  P. Minnis,et al.  Comparison of Satellite and Aircraft Measurements of Cloud Microphysical Properties in Icing Conditions During ATREC/AIRS-II , 2004 .

[10]  Patrick Minnis,et al.  Real-time cloud, radiation, and aircraft icing parameters from GOES over the USA , 2004 .

[11]  Patrick Minnis,et al.  Comparison of Super-cooled Liquid Water Cloud Properties Derived from Satellite and Aircraft Measurements , 2003 .

[12]  Patrick Minnis,et al.  Comparison of Stratus Cloud Properties Deduced from Surface, GOES, and Aircraft Data during the March 2000 ARM Cloud IOP , 2002 .

[13]  David R. Doelling,et al.  Cloud Thickness Estimation from GOES-8 Satellite Data Over the ARM-SGP Site , 2002 .

[14]  Patrick Minnis,et al.  Parameterizations of reflectance and effective emittance for satellite remote sensing of cloud properties , 1998 .