MO4.L10 - AUTOMATED MONITORING OF VOLCANIC ASH MICRO- AND MACRO-PHYSICAL PROPERTIES: A COMPARISON OF CURRENT AND FUTURE SATELLITE INSTRUMENT CAPABILITIES
Similar to MO4.L10 - AUTOMATED MONITORING OF VOLCANIC ASH MICRO- AND MACRO-PHYSICAL PROPERTIES: A COMPARISON OF CURRENT AND FUTURE SATELLITE INSTRUMENT CAPABILITIES
Mapping of hydrothermal alteration in mount berecha area of main ethiopian ri...Alexander Decker
Similar to MO4.L10 - AUTOMATED MONITORING OF VOLCANIC ASH MICRO- AND MACRO-PHYSICAL PROPERTIES: A COMPARISON OF CURRENT AND FUTURE SATELLITE INSTRUMENT CAPABILITIES (20)
MO4.L10 - AUTOMATED MONITORING OF VOLCANIC ASH MICRO- AND MACRO-PHYSICAL PROPERTIES: A COMPARISON OF CURRENT AND FUTURE SATELLITE INSTRUMENT CAPABILITIES
1. Automated Monitoring of Volcanic Ash Micro and Macro-Physical Properties: A comparison of Future and Current Satellite Instrument Capabilities Michael Pavolonis (NOAA/NESDIS/STAR) Marco Fulle - www.stromboli.net
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7. In order to provide global volcanic ash products at high temporal resolution, the following imaging sensors are needed. X LEO VIIRS X GEO SEVIRI X GEO MTSAT X LEO MODIS X GEO FY2 X GEO GOES-R ABI X GEO GOES-12 - GOES-15 Imagers X GEO GOES-11 Imager X LEO AVHRR 11/12/13.3 m channel combination 11/13.3 m channel combination 11/12 m channel combination Orbit Sensor
Aya (day)-fee-ought-lie-urkell The goal of this talk is to illustrate that while we can retrieve macro and micro physical properties of ash clouds using infrared channels available on imaging sensors like GOES and AVHRR, the additional infrared spectral information provided by more advanced sensors, like the next generation GOES imager, allows for a significant increase in product accuracy. We focus on infrared measurements since it is important to be able to monitor volcanic ash clouds consistently day and night. -no algorithm details
A visual appreciation for the impacts on aviation in Europe.
-Optimal estimation framework provides error estimates -As you might imagine, the three channel combination, which is used by the official GOES-R volcanic ash algorithm, is most desirable -Why does the retrieval need to accommodate three different channel combinations? -Next, introduce each panel in more detail.
Not all sensors are created equal, channels vary from sensor to sensor.
-Optimal estimation framework provides error estimates -As you might imagine, the three channel combination, which is used by the official GOES-R volcanic ash algorithm, is most desirable -Why does the retrieval need to accommodate three different channel combinations? -Next, introduce each panel in more detail.
While not covered in this talk, we do apply a sophisticated ash detection algorithm to determine which pixels to perform a retrieval on.
We are seeking GOES-R RR funding to pursue this. We need to works towards fulfilling the 5 minute warning criteria desired by the aviation industry.
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