Matches in SemOpenAlex for { <https://semopenalex.org/work/W3141397149> ?p ?o ?g. }
- W3141397149 endingPage "64" @default.
- W3141397149 startingPage "45" @default.
- W3141397149 abstract "Abstract A combined algorithm comprising multiple dust detection methods was developed using infrared (IR) channels onboard the GEOstationary Korea Multi-Purpose SATellite 2A equipped with the Advanced Meteorological Imager (GK2A/AMI). Six cloud tests using brightness temperature difference (BTD) were utilized to reduce errors caused by clouds. For detecting dust storms, three standard BTD tests (i.e., $${BT}_{12.3}-{BT}_{10.5}$$ , $${BT}_{8.7}-{BT}_{10.5}$$ , and $${BT}_{11.2}-{BT}_{10.5}$$ ) were combined with the polarized optical depth index (PODI). The combined algorithm normalizes the indices for cloud and dust detection, and adopts weighted combinations of dust tests depending on the observation time (day/night) and surface type (land/sea). The dust detection results were produced as quantitative confidence factors and displayed as false color imagery, applying a dynamic enhancement background reduction algorithm (DEBRA). The combined dust detection algorithm was qualitatively assessed by comparing it with dust RGB imageries and ground-based lidar data. The combined algorithm especially improved the discontinuity in weak dust advection to the sea and considerably reduced false alarms as compared to previous dust monitoring methods. For quantitative validation, we used aerosol optical thickness (AOT) and fine mode fraction (FMF) derived from low Earth orbit (LEO) satellites in daytime. For both severe and weakened dust cases, the probability of detection (POD) ranged from 0.667 to 0.850 and it indicated that the combined algorithm detects more potential dust pixels than other satellites. In particular, the combined algorithm was advantageous in detecting weak dust storms passing over the warm and humid Yellow Sea with low dust height and small AOT." @default.
- W3141397149 created "2021-04-13" @default.
- W3141397149 creator A5004575048 @default.
- W3141397149 creator A5024292880 @default.
- W3141397149 creator A5053021576 @default.
- W3141397149 creator A5054522024 @default.
- W3141397149 creator A5054777624 @default.
- W3141397149 date "2021-04-07" @default.
- W3141397149 modified "2023-10-05" @default.
- W3141397149 title "Combined Dust Detection Algorithm for Asian Dust Events Over East Asia Using GK2A/AMI: a Case Study in October 2019" @default.
- W3141397149 cites W1514099499 @default.
- W3141397149 cites W1561158679 @default.
- W3141397149 cites W1965978147 @default.
- W3141397149 cites W1967394581 @default.
- W3141397149 cites W1969316566 @default.
- W3141397149 cites W1970834196 @default.
- W3141397149 cites W1971457601 @default.
- W3141397149 cites W1971600425 @default.
- W3141397149 cites W1973311970 @default.
- W3141397149 cites W1982110374 @default.
- W3141397149 cites W1987044804 @default.
- W3141397149 cites W1991554395 @default.
- W3141397149 cites W1997071220 @default.
- W3141397149 cites W2004996508 @default.
- W3141397149 cites W2008641894 @default.
- W3141397149 cites W2013689051 @default.
- W3141397149 cites W2014407323 @default.
- W3141397149 cites W2020162877 @default.
- W3141397149 cites W2020632985 @default.
- W3141397149 cites W2030171647 @default.
- W3141397149 cites W2035451594 @default.
- W3141397149 cites W2039164341 @default.
- W3141397149 cites W2039244461 @default.
- W3141397149 cites W2049891650 @default.
- W3141397149 cites W2051350221 @default.
- W3141397149 cites W2052203587 @default.
- W3141397149 cites W2054003225 @default.
- W3141397149 cites W2055852551 @default.
- W3141397149 cites W2059640919 @default.
- W3141397149 cites W2060966866 @default.
- W3141397149 cites W2063172213 @default.
- W3141397149 cites W2064673884 @default.
- W3141397149 cites W2065195110 @default.
- W3141397149 cites W2065623290 @default.
- W3141397149 cites W2066241474 @default.
- W3141397149 cites W2066423093 @default.
- W3141397149 cites W2078435638 @default.
- W3141397149 cites W2080441940 @default.
- W3141397149 cites W2080667889 @default.
- W3141397149 cites W2085009922 @default.
- W3141397149 cites W2089475067 @default.
- W3141397149 cites W2093076713 @default.
- W3141397149 cites W2100738627 @default.
- W3141397149 cites W2106601676 @default.
- W3141397149 cites W2113321649 @default.
- W3141397149 cites W2124221141 @default.
- W3141397149 cites W2125414697 @default.
- W3141397149 cites W2127203281 @default.
- W3141397149 cites W2132354626 @default.
- W3141397149 cites W2133326900 @default.
- W3141397149 cites W2136567789 @default.
- W3141397149 cites W2147281104 @default.
- W3141397149 cites W2159291134 @default.
- W3141397149 cites W2165707825 @default.
- W3141397149 cites W2328434842 @default.
- W3141397149 cites W2566411718 @default.
- W3141397149 cites W2754687904 @default.
- W3141397149 cites W2765367567 @default.
- W3141397149 cites W2769764247 @default.
- W3141397149 cites W2802531655 @default.
- W3141397149 cites W2897367694 @default.
- W3141397149 cites W2901520511 @default.
- W3141397149 cites W2914708815 @default.
- W3141397149 cites W2922401428 @default.
- W3141397149 cites W2969036068 @default.
- W3141397149 cites W2987555100 @default.
- W3141397149 cites W3004028379 @default.
- W3141397149 cites W3017452209 @default.
- W3141397149 cites W3022162424 @default.
- W3141397149 doi "https://doi.org/10.1007/s13143-021-00234-5" @default.
- W3141397149 hasPublicationYear "2021" @default.
- W3141397149 type Work @default.
- W3141397149 sameAs 3141397149 @default.
- W3141397149 citedByCount "5" @default.
- W3141397149 countsByYear W31413971492021 @default.
- W3141397149 countsByYear W31413971492022 @default.
- W3141397149 countsByYear W31413971492023 @default.
- W3141397149 crossrefType "journal-article" @default.
- W3141397149 hasAuthorship W3141397149A5004575048 @default.
- W3141397149 hasAuthorship W3141397149A5024292880 @default.
- W3141397149 hasAuthorship W3141397149A5053021576 @default.
- W3141397149 hasAuthorship W3141397149A5054522024 @default.
- W3141397149 hasAuthorship W3141397149A5054777624 @default.
- W3141397149 hasBestOaLocation W31413971491 @default.
- W3141397149 hasConcept C105306849 @default.
- W3141397149 hasConcept C11413529 @default.
- W3141397149 hasConcept C120665830 @default.
- W3141397149 hasConcept C121332964 @default.