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Thematische Bibliographien / Polarimetric signature

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Zeitschriftenartikel

Auswahl der wissenschaftlichen Literatur zum Thema „Polarimetric signature“

Autor: Grafiati

Veröffentlicht am 25. Mai 2024

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Zeitschriftenartikel zum Thema "Polarimetric signature"

1

Takahashi, J., Y. Itoh, T. Matsuo, Y. Oasa, Y. P. Bach, and M. Ishiguro. "Polarimetric signature of the oceans as detected by near-infrared Earthshine observations." Astronomy & Astrophysics 653 (September 2021): A99. http://dx.doi.org/10.1051/0004-6361/202039331.

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Context. The discovery of an extrasolar planet with an ocean has crucial importance in the search for life beyond Earth. The polarimetric detection of specularly reflected light from a smooth liquid surface is anticipated theoretically, though the polarimetric signature of Earth’s oceans has not yet been conclusively detected in disk-integrated planetary light. Aims. We aim to detect and measure the polarimetric signature of the Earth’s oceans. Methods. We conducted near-infrared polarimetry for lunar Earthshine and collected data on 32 nights with a variety of ocean fractions in the Earthshin

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2

Ryzhkov, Alexander V., Terry J. Schuur, Donald W. Burgess, and Dusan S. Zrnic. "Polarimetric Tornado Detection." Journal of Applied Meteorology 44, no. 5 (2005): 557–70. http://dx.doi.org/10.1175/jam2235.1.

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Abstract Polarimetric radars are shown to be capable of tornado detection through the recognition of tornadic debris signatures that are characterized by the anomalously low cross-correlation coefficient ρhv and differential reflectivity ZDR. This capability is demonstrated for three significant tornadic storms that struck the Oklahoma City, Oklahoma, metropolitan area. The first tornadic debris signature, based on the measurements with the National Severe Storms Laboratory’s Cimarron polarimetric radar, was reported for a storm on 3 May 1999. Similar signatures were identified for two signifi

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3

Snyder, Jeffrey C., Howard B. Bluestein, Vijay Venkatesh, and Stephen J. Frasier. "Observations of Polarimetric Signatures in Supercells by an X-Band Mobile Doppler Radar." Monthly Weather Review 141, no. 1 (2013): 3–29. http://dx.doi.org/10.1175/mwr-d-12-00068.1.

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Abstract Polarimetric weather radars significantly enhance the capability to infer the properties of scatterers within a resolution volume. Previous studies have identified several consistently seen polarimetric signatures in supercells observed in the central United States. Nearly all of these studies used data collected by fixed-site S- and C-band radars. Because there are few polarimetric mobile radars, relatively little has been documented in high-resolution polarimetric data from mobile radars. Compared to S and C bands, there has been very limited examination of polarimetric signatures a

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4

Vyas, A., and B. Sashtri. "SAR POLARIMETRIC SIGNATURES FOR URBAN TARGETS – POLARIMETRIC SIGNATURE CALCULATION AND VISUALIZATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXIX-B7 (August 2, 2012): 535–40. http://dx.doi.org/10.5194/isprsarchives-xxxix-b7-535-2012.

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5

Kumjian, Matthew R., and Alexander V. Ryzhkov. "Polarimetric Signatures in Supercell Thunderstorms." Journal of Applied Meteorology and Climatology 47, no. 7 (2008): 1940–61. http://dx.doi.org/10.1175/2007jamc1874.1.

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Abstract Data from polarimetric radars offer remarkable insight into the microphysics of convective storms. Numerous tornadic and nontornadic supercell thunderstorms have been observed by the research polarimetric Weather Surveillance Radar-1988 Doppler (WSR-88D) in Norman, Oklahoma (KOUN); additional storm data come from the Enterprise Electronics Corporation “Sidpol” C-band polarimetric radar in Enterprise, Alabama, as well as the King City C-band polarimetric radar in Ontario, Canada. A number of distinctive polarimetric signatures are repeatedly found in each of these storms. The forward-f

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6

Johnson, Marcus, Youngsun Jung, Daniel T. Dawson, and Ming Xue. "Comparison of Simulated Polarimetric Signatures in Idealized Supercell Storms Using Two-Moment Bulk Microphysics Schemes in WRF." Monthly Weather Review 144, no. 3 (2016): 971–96. http://dx.doi.org/10.1175/mwr-d-15-0233.1.

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Abstract Microphysics parameterization becomes increasingly important as the model grid spacing increases toward convection-resolving scales. The performance of several partially or fully two-moment (2M) schemes within the Weather Research and Forecasting (WRF) Model, version 3.5.1, chosen because of their well-documented advantages over one-moment (1M) schemes, is evaluated with respect to their ability in producing the well-known polarimetric radar signatures found within supercell storms. Such signatures include the ZDR and KDP columns, the ZDR arc, the midlevel ZDR and ρHV rings, the hail

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7

Van Den Broeke, Matthew S. "Polarimetric Tornadic Debris Signature Variability and Debris Fallout Signatures." Journal of Applied Meteorology and Climatology 54, no. 12 (2015): 2389–405. http://dx.doi.org/10.1175/jamc-d-15-0077.1.

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AbstractValues of polarimetric radar variables may vary substantially between and through tornadic debris signature (TDS) events. Tornadoes with higher intensity ratings are associated with higher average and extreme values of reflectivity factor at horizontal polarization ZHH and lower values of copolar cross-correlation coefficient ρhv. Although values of these variables often fluctuate through reported tornado life cycles, ZHH repeatably decreases and ρhv repeatably increases across the volume scan immediately following reported tornado demise. Land cover has a relatively small effect on va

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8

Andrić, Jelena, Matthew R. Kumjian, Dušan S. Zrnić, Jerry M. Straka, and Valery M. Melnikov. "Polarimetric Signatures above the Melting Layer in Winter Storms: An Observational and Modeling Study." Journal of Applied Meteorology and Climatology 52, no. 3 (2013): 682–700. http://dx.doi.org/10.1175/jamc-d-12-028.1.

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AbstractPolarimetric radar observations above the melting layer in winter storms reveal enhanced differential reflectivity ZDR and specific differential phase shift KDP, collocated with reduced copolar correlation coefficient ρhv; these signatures often appear as isolated “pockets.” High-resolution RHIs and vertical profiles of polarimetric variables were analyzed for a winter storm that occurred in Oklahoma on 27 January 2009, observed with the polarimetric Weather Surveillance Radar-1988 Doppler (WSR-88D) in Norman. The ZDR maximum and ρhv minimum are located within the temperature range bet

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9

Van Den Broeke, Matthew S., and Sabrina T. Jauernic. "Spatial and Temporal Characteristics of Polarimetric Tornadic Debris Signatures." Journal of Applied Meteorology and Climatology 53, no. 10 (2014): 2217–31. http://dx.doi.org/10.1175/jamc-d-14-0094.1.

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AbstractNonmeteorological scatter, including debris lofted by tornadoes, may be detected using the polarimetric radar variables. For the 17 months from January 2012 to May 2013, radar data were examined for each tornado reported in the domain of an operational polarimetric Weather Surveillance Radar-1988 Doppler (WSR-88D). Characteristics of the tornadic debris signature (TDS) were recorded when a signature was present. Approximately 16% of all tornadoes reported in Storm Data were associated with a debris signature, and this proportion is shown to vary regionally. Signatures were more frequen

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10

Griffin, Casey B., David J. Bodine, and Robert D. Palmer. "Kinematic and Polarimetric Radar Observations of the 10 May 2010, Moore–Choctaw, Oklahoma, Tornadic Debris Signature." Monthly Weather Review 145, no. 7 (2017): 2723–41. http://dx.doi.org/10.1175/mwr-d-16-0344.1.

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Tornadoes are capable of lofting large pieces of debris that present irregular shapes, near-random orientations, and a wide range of dielectric constants to polarimetric radars. The unique polarimetric signature associated with lofted debris is called the tornadic debris signature (TDS). While ties between TDS characteristics and tornado- and storm-scale kinematic processes have been speculated upon or investigated using photogrammetry and single-Doppler analyses, little work has been done to document the three-dimensional wind field associated with the TDS. Data collected by the Oklahoma City

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