Stratus and Fog Products Using<i>GOES-8–9</i>3.9-<i>μ</i>m Data

Lee, Thomas F.; Turk, F. Joseph; Richardson, Kim

doi:10.1175/1520-0434(1997)012<0664:safpug>2.0.co;2

Cited by 127 publications

(85 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Also for geostationary satellite systems, which have the advantage of a high temporal resolution, many reliable approaches for FLS detection exist (e.g. Lee et al, 1997;comprehensive overview in Gultepe et al, 2007). For Meteosat Second Generation (MSG) Spinning-Enhanced Visible and Infrared Imager (SEVIRI) data the Satellite-based Operational Fog Observation Scheme (SOFOS) developed by Cermak (2006) is a recent and reliable algorithm for FLS detection.…”

Section: Introductionmentioning

confidence: 99%

1 km fog and low stratus detection using pan-sharpened MSG SEVIRI data

et al. 2012

View full text Add to dashboard Cite

Abstract. In this paper a new technique for the detection of fog and low stratus in 1 km resolution from MSG SEVIRI data is presented. The method relies on the pan-sharpening of 3 km narrow-band channels using the 1 km high-resolution visible (HRV) channel. As solar and thermal channels had to be sharpened for the technique, a new approach based on an existing pan-sharpening method was developed using local regressions. A fog and low stratus detection scheme originally developed for 3 km SEVIRI data was used as the basis to derive 1 km resolution fog and low stratus masks from the sharpened channels. The sharpened channels and the fog and low stratus masks based on them were evaluated visually and by various statistical measures. The sharpened channels deviate only slightly from reference images regarding their pixel values as well as spatial features. The 1 km fog and low stratus masks are therefore deemed of high quality. They contain many details, especially where fog is restricted by complex terrain in its extent, that cannot be detected in the 3 km resolution.

show abstract

Section: Introductionmentioning

confidence: 99%

1 km fog and low stratus detection using pan-sharpened MSG SEVIRI data

et al. 2012

View full text Add to dashboard Cite

show abstract

“…[15] The SWIR-LWIR BTD (hereinafter referred to as SLIR) has been used to distinguish between low-level fog and stratus cloud from dense cirrus, high-level ice cloud, and background both during the day and at night [Ellrod, 1994;Lee et al, 1997]. During the day, the reflectance from practically all surfaces (cloud and Earth) has the effect of increasing the brightness temperature for the SWIR until it becomes larger than the emitted LWIR component, producing a positive SLIR.…”

Section: Application Of Goes Infrared Datamentioning

confidence: 99%

Improved detection of airborne volcanic ash using multispectral infrared satellite data

2003

View full text Add to dashboard Cite

[1] A technique for improved detection of airborne volcanic ash has been developed that uses three infrared (IR) bands from meteorological satellites. The three IR bands are centered near 3.9, 10.7, and 12.0 mm wavelength. The technique is based on the sum of two brightness temperature differences (BTDs), scaled to maximize the brightness and contrast of volcanic ash in the output image. The physical effects attributed to the observed BTDs that help distinguish the volcanic ash from various meteorological cloud types are (1) differential absorption by volcanic ash or sulfur dioxide at 3.9 mm, 10.7 mm, and 12.0 mm and (2) strong solar reflectance by ash at 3.9 mm, which varies diurnally. On the basis of two examples using data from the Geostationary Operational Environmental Satellite (GOES) the three-band IR technique is shown to provide better discrimination of volcanic ash from meteorological clouds than is possible using existing two-band methods. This conclusion is supported by comparisons of brightness count profiles and estimation of false ash detection rate statistics. The best results from the three-band IR technique are obtained during daylight hours over any surface, and at night when the ash cloud is over the ocean or other large body of water. The three-band IR technique is one of the tools currently being employed operationally at the Washington Volcanic Ash Advisory Center.

show abstract

“…When the IR brightness temperature is subtracted from that of the NIR, this BTD is negative in the presence of FLS [e.g. Eyre et al, 1984;Ellrod, 1995;Lee et al, 1997]. A qualitative approach called the Night Microphysics RGB [e.g Lensky and Rosenfeld, 2008] using false-colour composite imagery from multi-spectral satellite data also relies on this NIR-IR BTD.…”

Section: Introductionmentioning

confidence: 99%

Validation of a Satellite-based Fog and Low Stratus Detection Algorithm Using Himawari-8 over Australia

Lucas¹

2017

Bureau Research Report

View full text Add to dashboard Cite

Stratus and Fog Products UsingGOES-8–93.9-μm Data

Cited by 127 publications

References 19 publications

1 km fog and low stratus detection using pan-sharpened MSG SEVIRI data

1 km fog and low stratus detection using pan-sharpened MSG SEVIRI data

Improved detection of airborne volcanic ash using multispectral infrared satellite data

Validation of a Satellite-based Fog and Low Stratus Detection Algorithm Using Himawari-8 over Australia

Contact Info

Product

Resources

About