![]() ![]() Raise the question of possible effects, either advantageously or adversely, ![]() Although each of the above studies focused onĮxamining which spectral bands may be used for dust detection, a few did Of the above studies, some have speculated about the relationship between water vapor and dust detection.Īn open question centers on the interdependence of water vapor andĭust detection algorithms. ![]() There also exist dust detection algorithms that use a combination of spectral bands that detect both solar reflection and infrared energy (Cho et al., 2013 Rosenfeld, 2008 Chaboureau et al., 2007 Darmenov and Sokolik, 2005 Ackerman, 1997 Legrand et al., 1989 Shenk and Curran, 1974). In addition, techniques have also been developed that required only spectral bands in the infrared (Lensky and For example,Īshpole and Washington (2012), Knippertz and Todd (2010), Torres et al. (1998, 2007), and Herman et al. (1997) used spectral bands in the ultraviolet for dust detection. Typically, several types of procedures exist that use a variety of spectralīands to detect dust in the atmosphere of the Earth. Platforms orbiting the Earth allowed for many types of techniques to detect airborne dust. In addition, geostationary sensors such as the (i) Spinning Enhanced Visible and InfraRed Imager (SEVIRI) onboard METEOSAT Second Generation (MSG) (Schmetz et al., 2002) and (ii) Advanced Baseline Imager (ABI Kalluri et al., 2018 Schmit et al., 2008) onboard GOES-16/17 have been used to explore dust. Orthogonal Polarization (CALIOP Winker et al., 2009), and (iii) Temperature Humidity Infrared Radiometer and Image Dissector Camera System (both onboard Nimbus-4 Shenk and Curran, 1974). Detection of dust has been explored with the use of low earth orbiting (LEO) sensors such as the (i) Moderate Resolution Imaging Spectroradiometer (King et al., 1992), (ii) Cloud-Aerosol Lidar with Results herein provide observational support to two recent numerical studies that concluded water vapor can mask infrared detection of airborne dust.įor over 45 years, satellite data have been used to detect airborne dust. In other words, water vapor masked infrared dust detection if sufficient amounts of water vapor existed in a column. Specifically, dust was detected when values of layer TPW were approximately 14 mm in addition, dust was masked when values of layer TPW were approximately 28 mm. There was a distinct pattern between dust detection and dust masking and values of precipitable water. Various satellite imagery and products were also used to characterize the distribution of water vapor within the SAL. With retrieved values of layer and total precipitable water (TPW) from MIRSĪnd NUCAPS, respectively, were used to identify dust within the SAL over the eastern Atlantic Ocean. Satellite imagery and products from the ABI on GOES-16, VIIRS on NOAA-20, and CALIOP on CALIPSO, along On 16–17 February 2020, dust within the Saharan Air Layer (SAL) from western Africa moved over the eastern Atlantic Ocean. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |