FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W1968392670> ?p ?o ?g. }

• W1968392670 endingPage "1561" @default.
• W1968392670 startingPage "1542" @default.
• W1968392670 abstract "Abstract Geostationary satellite-derived atmospheric motion vectors (AMVs) have been used over several decades in a wide variety of meteorological applications. The ever-increasing horizontal and vertical resolution of numerical weather prediction models puts a greater demand on satellite-derived wind products to monitor flow accurately at smaller scales and higher temporal resolution. The focus of this paper is to evaluate the accuracy and potential applications of a newly developed experimental mesoscale AMV product derived from Geostationary Operational Environmental Satellite (GOES) imagery. The mesoscale AMV product is derived through a variant on processing methods used within the University of Wisconsin—Madison Cooperative Institute for Meteorological Satellite Studies (UW-CIMSS) AMV algorithm and features a significant increase in vector density throughout the troposphere and lower stratosphere over current NOAA/National Environmental Satellite, Data, and Information Service (NESDIS) processing methods for GOES-12 Imager data. The primary objectives of this paper are to 1) highlight applications of experimental GOES mesoscale AMVs toward weather diagnosis and forecasting, 2) compare the coverage and accuracy of mesoscale AMVs with the NOAA/NESDIS operational AMV product, and 3) demonstrate the utility of 6-min NOAA Wind Profiler Network observations for satellite-derived AMV validation. Although the more conservative NOAA/NESDIS AMV product exhibits closer statistical agreement to rawinsonde and wind profiler observations than do the experimental mesoscale AMVs, a comparison of these two products for selected events shows that the mesoscale product better depicts the circulation center of a midlatitude cyclone, boundary layer confluence patterns, and a narrow low-level jet that is well correlated with subsequent severe thunderstorm development. Thus, while the individual experimental mesoscale AMVs may sacrifice some absolute accuracy, they show promise in providing greater temporal and spatial flow detail that can benefit diagnosis of upper-air flow patterns in near–real time. The results also show good agreement between 6-min wind profiler and rawinsonde observations within the 700–200-hPa layer, with larger differences in the stratosphere, near the mean top of the planetary boundary layer, and just above the earth’s surface. Despite these larger differences within select layers, the stability of the difference profile with height builds confidence in the use of 6-min, ∼404-MHz NOAA Wind Profiler Network observations to evaluate and better understand satellite AMV error characteristics." @default.
• W1968392670 created "2016-06-24" @default.
• W1968392670 creator A5007562385 @default.
• W1968392670 creator A5013805896 @default.
• W1968392670 creator A5047339294 @default.
• W1968392670 creator A5051183260 @default.
• W1968392670 creator A5091545154 @default.
• W1968392670 date "2009-08-01" @default.
• W1968392670 modified "2023-10-13" @default.
• W1968392670 title "Comparisons of Satellite-Derived Atmospheric Motion Vectors, Rawinsondes, and NOAA Wind Profiler Observations" @default.
• W1968392670 cites W1971662930 @default.
• W1968392670 cites W1982901957 @default.
• W1968392670 cites W1986545776 @default.
• W1968392670 cites W1994218270 @default.
• W1968392670 cites W2000500717 @default.
• W1968392670 cites W2007680104 @default.
• W1968392670 cites W2025637055 @default.
• W1968392670 cites W2034404038 @default.
• W1968392670 cites W2040693404 @default.
• W1968392670 cites W2047246194 @default.
• W1968392670 cites W2055520686 @default.
• W1968392670 cites W2060786871 @default.
• W1968392670 cites W2061127612 @default.
• W1968392670 cites W2067761151 @default.
• W1968392670 cites W2079198228 @default.
• W1968392670 cites W2084104180 @default.
• W1968392670 cites W2101933389 @default.
• W1968392670 cites W2109387412 @default.
• W1968392670 cites W2111038893 @default.
• W1968392670 cites W2111465793 @default.
• W1968392670 cites W2173969881 @default.
• W1968392670 cites W2178952519 @default.
• W1968392670 cites W4206628346 @default.
• W1968392670 doi "https://doi.org/10.1175/2009jamc1867.1" @default.
• W1968392670 hasPublicationYear "2009" @default.
• W1968392670 type Work @default.
• W1968392670 sameAs 1968392670 @default.
• W1968392670 citedByCount "41" @default.
• W1968392670 countsByYear W19683926702012 @default.
• W1968392670 countsByYear W19683926702013 @default.
• W1968392670 countsByYear W19683926702015 @default.
• W1968392670 countsByYear W19683926702016 @default.
• W1968392670 countsByYear W19683926702017 @default.
• W1968392670 countsByYear W19683926702018 @default.
• W1968392670 countsByYear W19683926702019 @default.
• W1968392670 countsByYear W19683926702020 @default.
• W1968392670 countsByYear W19683926702021 @default.
• W1968392670 countsByYear W19683926702022 @default.
• W1968392670 countsByYear W19683926702023 @default.
• W1968392670 crossrefType "journal-article" @default.
• W1968392670 hasAuthorship W1968392670A5007562385 @default.
• W1968392670 hasAuthorship W1968392670A5013805896 @default.
• W1968392670 hasAuthorship W1968392670A5047339294 @default.
• W1968392670 hasAuthorship W1968392670A5051183260 @default.
• W1968392670 hasAuthorship W1968392670A5091545154 @default.
• W1968392670 hasBestOaLocation W19683926701 @default.
• W1968392670 hasConcept C104110773 @default.
• W1968392670 hasConcept C11999413 @default.
• W1968392670 hasConcept C127313418 @default.
• W1968392670 hasConcept C127413603 @default.
• W1968392670 hasConcept C146978453 @default.
• W1968392670 hasConcept C147947694 @default.
• W1968392670 hasConcept C153294291 @default.
• W1968392670 hasConcept C16405173 @default.
• W1968392670 hasConcept C19269812 @default.
• W1968392670 hasConcept C205649164 @default.
• W1968392670 hasConcept C2778559676 @default.
• W1968392670 hasConcept C2778913063 @default.
• W1968392670 hasConcept C39432304 @default.
• W1968392670 hasConcept C40382383 @default.
• W1968392670 hasConcept C41008148 @default.
• W1968392670 hasConcept C49204034 @default.
• W1968392670 hasConcept C554190296 @default.
• W1968392670 hasConcept C62649853 @default.
• W1968392670 hasConcept C70564525 @default.
• W1968392670 hasConcept C76155785 @default.
• W1968392670 hasConcept C9075549 @default.
• W1968392670 hasConceptScore W1968392670C104110773 @default.
• W1968392670 hasConceptScore W1968392670C11999413 @default.
• W1968392670 hasConceptScore W1968392670C127313418 @default.
• W1968392670 hasConceptScore W1968392670C127413603 @default.
• W1968392670 hasConceptScore W1968392670C146978453 @default.
• W1968392670 hasConceptScore W1968392670C147947694 @default.
• W1968392670 hasConceptScore W1968392670C153294291 @default.
• W1968392670 hasConceptScore W1968392670C16405173 @default.
• W1968392670 hasConceptScore W1968392670C19269812 @default.
• W1968392670 hasConceptScore W1968392670C205649164 @default.
• W1968392670 hasConceptScore W1968392670C2778559676 @default.
• W1968392670 hasConceptScore W1968392670C2778913063 @default.
• W1968392670 hasConceptScore W1968392670C39432304 @default.
• W1968392670 hasConceptScore W1968392670C40382383 @default.
• W1968392670 hasConceptScore W1968392670C41008148 @default.
• W1968392670 hasConceptScore W1968392670C49204034 @default.
• W1968392670 hasConceptScore W1968392670C554190296 @default.
• W1968392670 hasConceptScore W1968392670C62649853 @default.
• W1968392670 hasConceptScore W1968392670C70564525 @default.
• W1968392670 hasConceptScore W1968392670C76155785 @default.
• W1968392670 hasConceptScore W1968392670C9075549 @default.

• next