scholarly journals Nowcasting Aircraft Icing Conditions in the Presence of Multilayered Clouds Using Meteorological Satellite Data

2011 ◽  
Author(s):  
Douglas Spangenberg ◽  
Patrick Minnis ◽  
William Smith ◽  
Fu-Lung Chang
Keyword(s):  
Satellite Data ◽  
Aircraft Icing ◽  
Meteorological Satellite

scholarly journals Assessment of Aircraft Icing Potential and Maximum Icing Altitude from Geostationary Meteorological Satellite Data

2007 ◽  
Vol 22 (1) ◽  
pp. 160-174 ◽  
Author(s):  
Gary P. Ellrod ◽  
Andrew A. Bailey
Keyword(s):  
United States ◽  
Satellite Data ◽  
The Internet ◽  
Aircraft Icing ◽  
Spatial Coverage ◽  
Geostationary Meteorological Satellite ◽  
Potential Component ◽  
Using Data ◽  
Meteorological Satellite ◽  
Satellite Product

Abstract A satellite product that displays regions of aircraft icing potential, along with corresponding cloud-top heights, has been developed using data from the Geostationary Operational Environmental Satellite (GOES) imager and sounder. The icing product, referred to as the Icing Enhanced Cloud-top Altitude Product (ICECAP), is created hourly for the continental United States and southern Canada, and is color coded to show cloud-top altitudes in 1.9-km (6000 ft) intervals. Experimental ICECAP images became routinely available on the Internet during the spring of 2004. Verification of separate ICECAP components (imager icing potential and sounder cloud-top heights) using aircraft pilot reports (PIREPs) indicates that the product provides useful guidance on the spatial coverage and maximum altitude of current icing conditions, but not icing intensity, stratification, or minimum altitude. The imager icing potential component of ICECAP was compared with the operational 40-km resolution National Weather Service (NWS) current icing potential and NWS Airman’s Meteorological Advisories via the NOAA Real-Time Verification System, while GOES cloud-top heights were compared with altitudes of moderate or greater icing from PIREPs. Benefits and deficiencies of the GOES icing product are discussed.

Visual analysis of meteorological satellite data via model-agnostic meta-learning

2021 ◽  
Author(s):  
Shiyu Cheng ◽  
Hanwei Shen ◽  
Guihua Shan ◽  
Beifang Niu ◽  
Weihua Bai
Keyword(s):  
Satellite Data ◽  
Visual Analysis ◽  
Meta Learning ◽  
Meteorological Satellite

Temporal behaviour of Asian dust aerosols observed in 2001 using meteorological satellite data

2004 ◽  
Vol 4 (3) ◽  
pp. 208 ◽  
Author(s):  
Naoko Iino ◽  
Toshiaki Yano ◽  
Toshikatsu Masumizu ◽  
Kisei Kinoshita ◽  
Itsushi Uno ◽  
...  
Keyword(s):  
Satellite Data ◽  
Asian Dust ◽  
Temporal Behaviour ◽  
Dust Aerosols ◽  
Meteorological Satellite

Free software libraries for geoprocessing and vector statistics of meteorological satellite data

2019 ◽  
Author(s):  
Andres Lighezzolo ◽  
Agustin Martina ◽  
Gonzalo Zigaran ◽  
Andres Lopez ◽  
Andres Solarte ◽  
...  
Keyword(s):  
Satellite Data ◽  
Free Software ◽  
Software Libraries ◽  
Meteorological Satellite

scholarly journals Recent Advances in Satellite Data Rescue

2017 ◽  
Vol 98 (7) ◽  
pp. 1471-1484 ◽  
Author(s):  
Paul Poli ◽  
Dick P. Dee ◽  
Roger Saunders ◽  
Viju O. John ◽  
Peter Rayer ◽  
...  
Keyword(s):  
Satellite Data ◽  
Data Access ◽  
Easy Access ◽  
In Situ Sensors ◽  
In Situ Observations ◽  
Satellite Meteorology ◽  
Accurate Observation ◽  
Meteorological Satellite ◽  
Unpublished Information

Abstract To better understand the impacts of climate change, environmental monitoring capabilities must be enhanced by deploying additional and more accurate satellite- and ground-based (including in situ) sensors. In addition, reanalysis of observations collected decades ago but long forgotten can unlock precious information about the recent past. Historical, in situ observations mainly cover densely inhabited areas and frequently traveled routes. In contrast, large selections of early meteorological satellite data, waiting to be exploited today, provide information about remote areas unavailable from any other source. When initially collected, these satellite data posed great challenges to transmission and archiving facilities. As a result, data access was limited to the main teams of scientific investigators associated with the instruments. As archive media have aged, so have the mission scientists and other pioneers of satellite meteorology, who sometimes retired in possession of unique and unpublished information. This paper presents examples of recently recovered satellite data records, including satellite imagery, early infrared hyperspectral soundings, and early microwave humidity soundings. Their value for climate applications today can be realized using methods and techniques that were not yet available when the data were first collected, including efficient and accurate observation simulators and data assimilation into reanalyses. Modern technical infrastructure allows serving entire mission datasets online, enabling easy access and exploration by a broad range of users, including new and old generations of climate scientists.

METEOROLOGICAL SATELLITE DATA

1972 ◽  
Vol 187 (1 Third Confere) ◽  
pp. 343-349
Author(s):  
William H. Haggard
Keyword(s):  
Satellite Data ◽  
Meteorological Satellite
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