FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2895847865> ?p ?o ?g. }

• W2895847865 endingPage "1839" @default.
• W2895847865 startingPage "1815" @default.
• W2895847865 abstract "Abstract. This study gives a summary of lessons learned during the absolute calibration of the airborne, high-power Ka-band cloud radar HAMP MIRA on board the German research aircraft HALO. The first part covers the internal calibration of the instrument where individual instrument components are characterized in the laboratory. In the second part, the internal calibration is validated with external reference sources like the ocean surface backscatter and different air- and spaceborne cloud radar instruments. A key component of this work was the characterization of the spectral response and the transfer function of the receiver. In a wide dynamic range of 70 dB, the receiver response turned out to be very linear (residual 0.05 dB). Using different attenuator settings, it covers a wide input range from −105 to −5 dBm. This characterization gave valuable new insights into the receiver sensitivity and additional attenuations which led to a major improvement of the absolute calibration. The comparison of the measured and the previously estimated total receiver noise power (−95.3 vs. −98.2 dBm) revealed an underestimation of 2.9 dB. This underestimation could be traced back to a larger receiver noise bandwidth of 7.5 MHz (instead of 5 MHz) and a slightly higher noise figure (1.1 dB). Measurements confirmed the previously assumed antenna gain (50.0 dBi) with no obvious asymmetries or increased side lobes. The calibration used for previous campaigns, however, did not account for a 1.5 dB two-way attenuation by additional waveguides in the airplane installation. Laboratory measurements also revealed a 2 dB higher two-way attenuation by the belly pod caused by small deviations during manufacturing. In total, effective reflectivities measured during previous campaigns had to be corrected by +7.6 dB. To validate this internal calibration, the well-defined ocean surface backscatter was used as a calibration reference. With the new absolute calibration, the ocean surface backscatter measured by HAMP MIRA agrees very well (<1 dB) with modeled values and values measured by the GPM satellite. As a further cross-check, flight experiments over Europe and the tropical North Atlantic were conducted. To that end, a joint flight of HALO and the French Falcon 20 aircraft, which was equipped with the RASTA cloud radar at 94 GHz and an underflight of the spaceborne CloudSat at 94 GHz were performed. The intercomparison revealed lower reflectivities (−1.4 dB) for RASTA but slightly higher reflectivities (+1.0 dB) for CloudSat. With effective reflectivities between RASTA and CloudSat and the good agreement with GPM, the accuracy of the absolute calibration is estimated to be around 1 dB." @default.
• W2895847865 created "2018-10-26" @default.
• W2895847865 creator A5033429605 @default.
• W2895847865 creator A5035660039 @default.
• W2895847865 creator A5047758680 @default.
• W2895847865 creator A5060224773 @default.
• W2895847865 creator A5075668278 @default.
• W2895847865 creator A5080599004 @default.
• W2895847865 date "2019-03-20" @default.
• W2895847865 modified "2023-10-18" @default.
• W2895847865 title "Calibration of a 35 GHz airborne cloud radar: lessons learned and intercomparisons with 94 GHz cloud radars" @default.
• W2895847865 cites W1613795631 @default.
• W2895847865 cites W1843947057 @default.
• W2895847865 cites W1915031005 @default.
• W2895847865 cites W1963834619 @default.
• W2895847865 cites W1966422680 @default.
• W2895847865 cites W1967265983 @default.
• W2895847865 cites W1974172230 @default.
• W2895847865 cites W1974477445 @default.
• W2895847865 cites W1976674106 @default.
• W2895847865 cites W1984758189 @default.
• W2895847865 cites W1991203239 @default.
• W2895847865 cites W1996171359 @default.
• W2895847865 cites W1997712423 @default.
• W2895847865 cites W1999458941 @default.
• W2895847865 cites W2008471345 @default.
• W2895847865 cites W2014199340 @default.
• W2895847865 cites W2016921950 @default.
• W2895847865 cites W2018668071 @default.
• W2895847865 cites W2025655883 @default.
• W2895847865 cites W2026509518 @default.
• W2895847865 cites W2028922516 @default.
• W2895847865 cites W2029130041 @default.
• W2895847865 cites W2029739915 @default.
• W2895847865 cites W2037574201 @default.
• W2895847865 cites W2042200423 @default.
• W2895847865 cites W2052760356 @default.
• W2895847865 cites W2057978013 @default.
• W2895847865 cites W2072091687 @default.
• W2895847865 cites W2073298425 @default.
• W2895847865 cites W2074969341 @default.
• W2895847865 cites W2075828063 @default.
• W2895847865 cites W2094686380 @default.
• W2895847865 cites W2095274434 @default.
• W2895847865 cites W2095844902 @default.
• W2895847865 cites W2096424133 @default.
• W2895847865 cites W2105553843 @default.
• W2895847865 cites W2111107246 @default.
• W2895847865 cites W2112848545 @default.
• W2895847865 cites W2113659665 @default.
• W2895847865 cites W2120631399 @default.
• W2895847865 cites W2121980046 @default.
• W2895847865 cites W2133868929 @default.
• W2895847865 cites W2155537325 @default.
• W2895847865 cites W2156834448 @default.
• W2895847865 cites W2162703778 @default.
• W2895847865 cites W2172406101 @default.
• W2895847865 cites W2389277551 @default.
• W2895847865 cites W2467259839 @default.
• W2895847865 cites W2514381825 @default.
• W2895847865 cites W2552912985 @default.
• W2895847865 cites W3192880971 @default.
• W2895847865 cites W4254301589 @default.
• W2895847865 cites W61355104 @default.
• W2895847865 doi "https://doi.org/10.5194/amt-12-1815-2019" @default.
• W2895847865 hasPublicationYear "2019" @default.
• W2895847865 type Work @default.
• W2895847865 sameAs 2895847865 @default.
• W2895847865 citedByCount "24" @default.
• W2895847865 countsByYear W28958478652019 @default.
• W2895847865 countsByYear W28958478652020 @default.
• W2895847865 countsByYear W28958478652021 @default.
• W2895847865 countsByYear W28958478652022 @default.
• W2895847865 countsByYear W28958478652023 @default.
• W2895847865 crossrefType "journal-article" @default.
• W2895847865 hasAuthorship W2895847865A5033429605 @default.
• W2895847865 hasAuthorship W2895847865A5035660039 @default.
• W2895847865 hasAuthorship W2895847865A5047758680 @default.
• W2895847865 hasAuthorship W2895847865A5060224773 @default.
• W2895847865 hasAuthorship W2895847865A5075668278 @default.
• W2895847865 hasAuthorship W2895847865A5080599004 @default.
• W2895847865 hasBestOaLocation W28958478651 @default.
• W2895847865 hasConcept C120665830 @default.
• W2895847865 hasConcept C121332964 @default.
• W2895847865 hasConcept C127313418 @default.
• W2895847865 hasConcept C165838908 @default.
• W2895847865 hasConcept C184652730 @default.
• W2895847865 hasConcept C39432304 @default.
• W2895847865 hasConcept C41008148 @default.
• W2895847865 hasConcept C554190296 @default.
• W2895847865 hasConcept C62520636 @default.
• W2895847865 hasConcept C62649853 @default.
• W2895847865 hasConcept C76155785 @default.
• W2895847865 hasConceptScore W2895847865C120665830 @default.
• W2895847865 hasConceptScore W2895847865C121332964 @default.
• W2895847865 hasConceptScore W2895847865C127313418 @default.
• W2895847865 hasConceptScore W2895847865C165838908 @default.
• W2895847865 hasConceptScore W2895847865C184652730 @default.

• next