Abstract
Abstract. The paper presents currently developing method of volcanic ash detection and retrieval for the Geostationary Korea Multi-Purpose Satellite (GK-2A). With the launch of GK-2A, aerosol remote sensing including dust, smoke, will begin a new era of geostationary remote sensing. The Advanced Meteorological Imager (AMI) onboard GK-2A will offer capabilities for volcanic ash remote sensing similar to those currently provided by the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite. Based on the physical principles for the current polar and geostationary imagers are modified in the algorithm. Volcanic ash is estimated in detection processing from visible and infrared channel radiances, and the comparison of satellite-observed radiances with those calculated from radiative transfer model. The retrievals are performed operationally every 15 min for volcanic ash for pixel sizes of 2 km. The algorithm currently under development uses a multichannel approach to estimate the effective radius, aerosol optical depth (AOD) simultaneously, both over water and land. The algorithm has been tested with proxy data generated from existing satellite observations and forward radiative transfer simulations. Operational assessment of the algorithm will be made after the launch of GK-2A scheduled in 2018.
Highlights
Until present, there has been increasing attention on the effects of volcanic ash (VA) on aviation safety [Casadevall, 1992] and human health [Horwell and Baxter, 2006]
According to the Japan meteorological agency (JMA), VA from the Shinmoedake eruption was first observed at 06:00 UTC on 26 January 2011
This study shows the detection and retrieval of VA for new geostationary satellite
Summary
There has been increasing attention on the effects of volcanic ash (VA) on aviation safety [Casadevall, 1992] and human health [Horwell and Baxter, 2006]. AMI has 1km resolution visible channel (wavelengths at 0.43 μm, 0.50 μm, 0.63 μm, and 0.85 μm), near infrared channel (wavelengths at 1.38 μm and 1.60 μm) and ten 2 km resolution infrared (IR) channels (wavelengths at 3.7 μm, 6.1 μm, 6.9 μm, 7.3 μm, 8.4 μm, 9.5 μm, 10.3 μm, 11.1 μm, 12.3 μm, and 13.3 μm) These enhanced geostationary observations can represent a significant increase in the number and quality of forecasting, modeling, and monitoring of VA. We are testing the fast radiative transfer model, RTTOV [Matricardi, 2005; Saunders et al, 1999] to generate forward model results of the AMI radiances These enable us to generate a rapid simulated satellite imagery in the future. MODIS L1b (MOD021KM and MYD021KM) data and geometry data (MOD03 and MYD03) were obtained from the NASA LAADS (Level 1 and Atmosphere Archive and Distribution)
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