Matches in SemOpenAlex for { <https://semopenalex.org/work/W3167994879> ?p ?o ?g. }
- W3167994879 endingPage "6468" @default.
- W3167994879 startingPage "6443" @default.
- W3167994879 abstract "Abstract. Differential absorption radar (DAR) near the 183 GHz water vapor absorption line is an emerging measurement technique for humidity profiling inside of clouds and precipitation with high vertical resolution, as well as for measuring integrated water vapor (IWV) in clear-air regions. For radar transmit frequencies on the water line flank away from the highly attenuating line center, the DAR system becomes most sensitive to water vapor in the planetary boundary layer (PBL), which is a region of the atmosphere that is poorly resolved in the vertical by existing spaceborne humidity and temperature profiling instruments. In this work, we present a high-fidelity, end-to-end simulation framework for notional spaceborne DAR instruments that feature realistically achievable radar performance metrics and apply this simulator to assess DAR's PBL humidity observation capabilities. Both the assumed instrument parameters and radar retrieval algorithm leverage recent technology and algorithm development for an existing airborne DAR instrument. To showcase the capabilities of DAR for humidity observations in a variety of relevant PBL settings, we implement the instrument simulator in the context of large eddy simulations (LESs) of five different cloud regimes throughout the trade-wind subtropical-to-tropical cloud transition. Three distinct DAR humidity observations are investigated: IWV between the top of the atmosphere and the first detected cloud bin or Earth's surface; in-cloud water vapor profiles with 200 meter vertical resolution; and IWV between the last detected cloud bin and the Earth's surface, which can provide a precise measurement of the sub-cloud humidity. We provide a thorough assessment of the systematic and random errors for all three measurement products for each LES case and analyze the humidity precision scaling with along-track measurement integration. While retrieval performance depends greatly on the specific cloud regime, we find generally that for a radar with cross-track scanning capability, in-cloud profiles with 200 m vertical resolution and 10 %–20 % uncertainty can be retrieved for horizontal integration distances of 100–200 km. Furthermore, column IWV can be retrieved with 10 % uncertainty for 10–20 km of horizontal integration. Finally, we provide some example science applications of the simulated DAR observations, including estimating near-surface relative humidity using the cloud-to-surface column IWV and inferring in-cloud temperature profiles from the DAR water vapor profiles by assuming a fully saturated environment." @default.
- W3167994879 created "2021-06-22" @default.
- W3167994879 creator A5001402589 @default.
- W3167994879 creator A5041434973 @default.
- W3167994879 creator A5043306663 @default.
- W3167994879 date "2021-10-07" @default.
- W3167994879 modified "2023-10-14" @default.
- W3167994879 title "Spaceborne differential absorption radar water vapor retrieval capabilities in tropical and subtropical boundary layer cloud regimes" @default.
- W3167994879 cites W1672766972 @default.
- W3167994879 cites W1829671238 @default.
- W3167994879 cites W1963834619 @default.
- W3167994879 cites W1967315425 @default.
- W3167994879 cites W1973420641 @default.
- W3167994879 cites W1989907325 @default.
- W3167994879 cites W1994355688 @default.
- W3167994879 cites W2003143168 @default.
- W3167994879 cites W2005830641 @default.
- W3167994879 cites W2015559976 @default.
- W3167994879 cites W2019071997 @default.
- W3167994879 cites W2033099118 @default.
- W3167994879 cites W2035136885 @default.
- W3167994879 cites W2036739017 @default.
- W3167994879 cites W2044940833 @default.
- W3167994879 cites W2057978013 @default.
- W3167994879 cites W2059263973 @default.
- W3167994879 cites W2060363625 @default.
- W3167994879 cites W2075828063 @default.
- W3167994879 cites W2097553621 @default.
- W3167994879 cites W2102510987 @default.
- W3167994879 cites W2112020841 @default.
- W3167994879 cites W2115466864 @default.
- W3167994879 cites W2117659426 @default.
- W3167994879 cites W2121376696 @default.
- W3167994879 cites W2124926851 @default.
- W3167994879 cites W2125530013 @default.
- W3167994879 cites W2125542949 @default.
- W3167994879 cites W2132742519 @default.
- W3167994879 cites W2143647581 @default.
- W3167994879 cites W2146920208 @default.
- W3167994879 cites W2155537325 @default.
- W3167994879 cites W2158536070 @default.
- W3167994879 cites W2172467887 @default.
- W3167994879 cites W2175705829 @default.
- W3167994879 cites W2232421739 @default.
- W3167994879 cites W2307961626 @default.
- W3167994879 cites W2495857162 @default.
- W3167994879 cites W2522376240 @default.
- W3167994879 cites W2606863740 @default.
- W3167994879 cites W2611772571 @default.
- W3167994879 cites W2768920857 @default.
- W3167994879 cites W2887406276 @default.
- W3167994879 cites W2905753128 @default.
- W3167994879 cites W2912467048 @default.
- W3167994879 cites W2951912987 @default.
- W3167994879 cites W3016476954 @default.
- W3167994879 cites W3020766178 @default.
- W3167994879 cites W3028627687 @default.
- W3167994879 cites W3034444408 @default.
- W3167994879 cites W3044535758 @default.
- W3167994879 cites W3084412838 @default.
- W3167994879 cites W3162899878 @default.
- W3167994879 cites W4206585837 @default.
- W3167994879 cites W4233456540 @default.
- W3167994879 cites W4241194710 @default.
- W3167994879 doi "https://doi.org/10.5194/amt-14-6443-2021" @default.
- W3167994879 hasPublicationYear "2021" @default.
- W3167994879 type Work @default.
- W3167994879 sameAs 3167994879 @default.
- W3167994879 citedByCount "2" @default.
- W3167994879 countsByYear W31679948792022 @default.
- W3167994879 crossrefType "journal-article" @default.
- W3167994879 hasAuthorship W3167994879A5001402589 @default.
- W3167994879 hasAuthorship W3167994879A5041434973 @default.
- W3167994879 hasAuthorship W3167994879A5043306663 @default.
- W3167994879 hasBestOaLocation W31679948791 @default.
- W3167994879 hasConcept C121332964 @default.
- W3167994879 hasConcept C127313418 @default.
- W3167994879 hasConcept C147534773 @default.
- W3167994879 hasConcept C151420433 @default.
- W3167994879 hasConcept C153294291 @default.
- W3167994879 hasConcept C196558001 @default.
- W3167994879 hasConcept C2778913063 @default.
- W3167994879 hasConcept C39432304 @default.
- W3167994879 hasConcept C41008148 @default.
- W3167994879 hasConcept C554190296 @default.
- W3167994879 hasConcept C62649853 @default.
- W3167994879 hasConcept C76155785 @default.
- W3167994879 hasConcept C86338904 @default.
- W3167994879 hasConceptScore W3167994879C121332964 @default.
- W3167994879 hasConceptScore W3167994879C127313418 @default.
- W3167994879 hasConceptScore W3167994879C147534773 @default.
- W3167994879 hasConceptScore W3167994879C151420433 @default.
- W3167994879 hasConceptScore W3167994879C153294291 @default.
- W3167994879 hasConceptScore W3167994879C196558001 @default.
- W3167994879 hasConceptScore W3167994879C2778913063 @default.
- W3167994879 hasConceptScore W3167994879C39432304 @default.
- W3167994879 hasConceptScore W3167994879C41008148 @default.
- W3167994879 hasConceptScore W3167994879C554190296 @default.