FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4206691334> ?p ?o ?g. }

• W4206691334 abstract "<strong class=journal-contentHeaderColor>Abstract.</strong> Ground-based remote sensing of atmospheric parameters is often limited to single station observations by vertical profiles at a certain geographic location. This is a limiting factor for investigating gravity wave dynamics as the spatial information is often missing, e.g., horizontal wavelength, propagation direction or intrinsic frequency. In this study, we present a new retrieval algorithm for multistatic meteor radar networks to obtain tomographic 3-D wind fields within a pre-defined domain area. The algorithm is part of the Agile Software for Gravity wAve Regional Dynamics (ASGARD) and called 3D-Var, and based on the optimal estimation technique and Bayesian statistics. The performance of the 3D-Var retrieval is demonstrated using two meteor radar networks: the Nordic Meteor Radar Cluster and the Chilean Observation Network De Meteor Radars (CONDOR). The optimal estimation implementation provide statistically sound solutions and diagnostics from the averaging kernels and measurement response. We present initial scientific results such as body forces of breaking gravity waves leading to two counter-rotating vortices and horizontal wavelength spectra indicating a transition between the rotational <span class=inline-formula><i>k</i>^−3</span> and divergent <span class=inline-formula><math xmlns=http://www.w3.org/1998/Math/MathML id=M2 display=inline overflow=scroll dspmath=mathml><mrow><msup><mi>k</mi><mrow><mo>-</mo><mn mathvariant=normal>5</mn><mo>/</mo><mn mathvariant=normal>3</mn></mrow></msup></mrow></math><span><svg:svg xmlns:svg=http://www.w3.org/2000/svg width=28pt height=14pt class=svg-formula dspmath=mathimg md5hash=1bd48c67b31735d0da98b1bef8774c00><svg:image xmlns:xlink=http://www.w3.org/1999/xlink xlink:href=amt-14-6509-2021-ie00001.svg width=28pt height=14pt src=amt-14-6509-2021-ie00001.png/></svg:svg></span></span> mode at scales of 80–120 km. In addition, we performed a keogram analysis over extended periods to reflect the latitudinal and temporal impact of a minor sudden stratospheric warming in December 2019. Finally, we demonstrate the applicability of the 3D-Var algorithm to perform large-scale retrievals to derive meteorological wind maps covering a latitude region from Svalbard, north of the European Arctic mainland, to central Norway." @default.
• W4206691334 created "2022-01-25" @default.
• W4206691334 creator A5002343368 @default.
• W4206691334 date "2021-08-11" @default.
• W4206691334 modified "2023-10-01" @default.
• W4206691334 title "Reply on RC2" @default.
• W4206691334 doi "https://doi.org/10.5194/amt-2021-124-ac4" @default.
• W4206691334 hasPublicationYear "2021" @default.
• W4206691334 type Work @default.
• W4206691334 citedByCount "0" @default.
• W4206691334 crossrefType "peer-review" @default.
• W4206691334 hasAuthorship W4206691334A5002343368 @default.
• W4206691334 hasBestOaLocation W42066913341 @default.
• W4206691334 hasConcept C11413529 @default.
• W4206691334 hasConcept C121332964 @default.
• W4206691334 hasConcept C127313418 @default.
• W4206691334 hasConcept C127413603 @default.
• W4206691334 hasConcept C13280743 @default.
• W4206691334 hasConcept C147176958 @default.
• W4206691334 hasConcept C153294291 @default.
• W4206691334 hasConcept C2778105581 @default.
• W4206691334 hasConcept C2778753569 @default.
• W4206691334 hasConcept C30475298 @default.
• W4206691334 hasConcept C41008148 @default.
• W4206691334 hasConcept C554190296 @default.
• W4206691334 hasConcept C62649853 @default.
• W4206691334 hasConcept C76155785 @default.
• W4206691334 hasConceptScore W4206691334C11413529 @default.
• W4206691334 hasConceptScore W4206691334C121332964 @default.
• W4206691334 hasConceptScore W4206691334C127313418 @default.
• W4206691334 hasConceptScore W4206691334C127413603 @default.
• W4206691334 hasConceptScore W4206691334C13280743 @default.
• W4206691334 hasConceptScore W4206691334C147176958 @default.
• W4206691334 hasConceptScore W4206691334C153294291 @default.
• W4206691334 hasConceptScore W4206691334C2778105581 @default.
• W4206691334 hasConceptScore W4206691334C2778753569 @default.
• W4206691334 hasConceptScore W4206691334C30475298 @default.
• W4206691334 hasConceptScore W4206691334C41008148 @default.
• W4206691334 hasConceptScore W4206691334C554190296 @default.
• W4206691334 hasConceptScore W4206691334C62649853 @default.
• W4206691334 hasConceptScore W4206691334C76155785 @default.
• W4206691334 hasLocation W42066913341 @default.
• W4206691334 hasOpenAccess W4206691334 @default.
• W4206691334 hasPrimaryLocation W42066913341 @default.
• W4206691334 hasRelatedWork W1993277086 @default.
• W4206691334 hasRelatedWork W2000005233 @default.
• W4206691334 hasRelatedWork W2014854171 @default.
• W4206691334 hasRelatedWork W2032865904 @default.
• W4206691334 hasRelatedWork W2082747916 @default.
• W4206691334 hasRelatedWork W2166698668 @default.
• W4206691334 hasRelatedWork W2351491280 @default.
• W4206691334 hasRelatedWork W2932085350 @default.
• W4206691334 hasRelatedWork W303980170 @default.
• W4206691334 hasRelatedWork W4255328798 @default.
• W4206691334 isParatext "false" @default.
• W4206691334 isRetracted "false" @default.
• W4206691334 workType "peer-review" @default.