FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2107789221> ?p ?o ?g. }

• W2107789221 endingPage "2514" @default.
• W2107789221 startingPage "2497" @default.
• W2107789221 abstract "Abstract This study presents an objective classification methodology that uses Earth Observing System (EOS) satellite data to classify distinct “cloud objects” defined by cloud-system types, sizes, geographic locations, and matched large-scale environments. This analysis method identifies a cloud object as a contiguous region of the earth with a single dominant cloud-system type. It determines the shape and size of the cloud object from the satellite data and the cloud-system selection criteria. The statistical properties of the identified cloud objects are analyzed in terms of probability density functions (PDFs) based upon the Clouds and the Earth’s Radiant Energy System (CERES) Single Satellite Footprint (SSF) data. Four distinct types of oceanic cloud objects—tropical deep convection, boundary layer cumulus, transition stratocumulus, and solid stratus—are initially identified from the CERES data collected from the Tropical Rainfall Measuring Mission (TRMM) satellite for this study. Preliminary results are presented from the analysis of the grand-mean PDFs of these four distinct types of cloud objects associated with the strong 1997/98 El Niño in March 1998 and the very weak 2000 La Niña in March 2000. A majority of the CERES footprint statistical characteristics of observed tropical deep convection are similar between the two periods in spite of the climatological contrast. There are, however, statistically significant differences in some cloud macrophysical properties such as the cloud-top height and cloud-top pressure and moderately significant differences in outgoing longwave radiation (OLR), cloud-top temperature, and ice diameter. The footprint statistical characteristics of the three observed boundary layer cloud-system types are distinctly different from one another in all cloud microphysical, macrophysical, optical properties, and radiative fluxes. The differences between the two periods are not significant for most cloud microphysical and optical properties and the top-of-the-atmosphere albedo, but are statistically significant for some cloud macrophysical properties and OLR. These characteristics of the grand-mean PDFs of cloud microphysical, macrophysical, and optical properties and radiative fluxes can be usefully compared with cloud model simulations. Furthermore, the proportion of different boundary layer cloud types is changed between the two periods in spite of small differences in their grand-mean statistical properties. An increase of the stratus population and a decrease of the cumulus population are evident in the El Niño period compared to the very weak La Niña period. The number of the largest tropical convective cloud objects is larger during the El Niño period, but the total number of tropical convective cloud objects is approximately the same in the two periods." @default.
• W2107789221 created "2016-06-24" @default.
• W2107789221 creator A5001975042 @default.
• W2107789221 creator A5032781503 @default.
• W2107789221 creator A5034524157 @default.
• W2107789221 creator A5045080588 @default.
• W2107789221 creator A5057353786 @default.
• W2107789221 date "2005-07-01" @default.
• W2107789221 modified "2023-10-14" @default.
• W2107789221 title "Statistical Analyses of Satellite Cloud Object Data from CERES. Part I: Methodology and Preliminary Results of the 1998 El Niño/2000 La Niña" @default.
• W2107789221 cites W1964107755 @default.
• W2107789221 cites W1969103570 @default.
• W2107789221 cites W1982267607 @default.
• W2107789221 cites W1988070693 @default.
• W2107789221 cites W2004634564 @default.
• W2107789221 cites W2010498097 @default.
• W2107789221 cites W2012961593 @default.
• W2107789221 cites W2020374726 @default.
• W2107789221 cites W2027872029 @default.
• W2107789221 cites W2031682224 @default.
• W2107789221 cites W2052559311 @default.
• W2107789221 cites W2061395091 @default.
• W2107789221 cites W2065339245 @default.
• W2107789221 cites W2073773661 @default.
• W2107789221 cites W2080964149 @default.
• W2107789221 cites W2081462278 @default.
• W2107789221 cites W2082684467 @default.
• W2107789221 cites W2085763206 @default.
• W2107789221 cites W2089785418 @default.
• W2107789221 cites W2090785751 @default.
• W2107789221 cites W2105712547 @default.
• W2107789221 cites W2110796569 @default.
• W2107789221 cites W2117659426 @default.
• W2107789221 cites W2131864158 @default.
• W2107789221 cites W2135732300 @default.
• W2107789221 cites W2141433795 @default.
• W2107789221 cites W2147880995 @default.
• W2107789221 cites W2152201640 @default.
• W2107789221 cites W2156618689 @default.
• W2107789221 cites W2177587805 @default.
• W2107789221 cites W3106889297 @default.
• W2107789221 doi "https://doi.org/10.1175/jcli3418.1" @default.
• W2107789221 hasPublicationYear "2005" @default.
• W2107789221 type Work @default.
• W2107789221 sameAs 2107789221 @default.
• W2107789221 citedByCount "64" @default.
• W2107789221 countsByYear W21077892212012 @default.
• W2107789221 countsByYear W21077892212013 @default.
• W2107789221 countsByYear W21077892212014 @default.
• W2107789221 countsByYear W21077892212015 @default.
• W2107789221 countsByYear W21077892212016 @default.
• W2107789221 countsByYear W21077892212017 @default.
• W2107789221 countsByYear W21077892212018 @default.
• W2107789221 countsByYear W21077892212019 @default.
• W2107789221 countsByYear W21077892212020 @default.
• W2107789221 countsByYear W21077892212021 @default.
• W2107789221 countsByYear W21077892212022 @default.
• W2107789221 crossrefType "journal-article" @default.
• W2107789221 hasAuthorship W2107789221A5001975042 @default.
• W2107789221 hasAuthorship W2107789221A5032781503 @default.
• W2107789221 hasAuthorship W2107789221A5034524157 @default.
• W2107789221 hasAuthorship W2107789221A5045080588 @default.
• W2107789221 hasAuthorship W2107789221A5057353786 @default.
• W2107789221 hasBestOaLocation W21077892211 @default.
• W2107789221 hasConcept C10899652 @default.
• W2107789221 hasConcept C111919701 @default.
• W2107789221 hasConcept C121332964 @default.
• W2107789221 hasConcept C127313418 @default.
• W2107789221 hasConcept C1276947 @default.
• W2107789221 hasConcept C132943942 @default.
• W2107789221 hasConcept C142773270 @default.
• W2107789221 hasConcept C151730666 @default.
• W2107789221 hasConcept C153294291 @default.
• W2107789221 hasConcept C19269812 @default.
• W2107789221 hasConcept C199194280 @default.
• W2107789221 hasConcept C205649164 @default.
• W2107789221 hasConcept C206887242 @default.
• W2107789221 hasConcept C23302255 @default.
• W2107789221 hasConcept C2780723968 @default.
• W2107789221 hasConcept C39432304 @default.
• W2107789221 hasConcept C41008148 @default.
• W2107789221 hasConcept C62649853 @default.
• W2107789221 hasConcept C79974875 @default.
• W2107789221 hasConceptScore W2107789221C10899652 @default.
• W2107789221 hasConceptScore W2107789221C111919701 @default.
• W2107789221 hasConceptScore W2107789221C121332964 @default.
• W2107789221 hasConceptScore W2107789221C127313418 @default.
• W2107789221 hasConceptScore W2107789221C1276947 @default.
• W2107789221 hasConceptScore W2107789221C132943942 @default.
• W2107789221 hasConceptScore W2107789221C142773270 @default.
• W2107789221 hasConceptScore W2107789221C151730666 @default.
• W2107789221 hasConceptScore W2107789221C153294291 @default.
• W2107789221 hasConceptScore W2107789221C19269812 @default.
• W2107789221 hasConceptScore W2107789221C199194280 @default.
• W2107789221 hasConceptScore W2107789221C205649164 @default.
• W2107789221 hasConceptScore W2107789221C206887242 @default.
• W2107789221 hasConceptScore W2107789221C23302255 @default.
• W2107789221 hasConceptScore W2107789221C2780723968 @default.

• next