Matches in SemOpenAlex for { <https://semopenalex.org/work/W4226474313> ?p ?o ?g. }
- W4226474313 endingPage "2971" @default.
- W4226474313 startingPage "2949" @default.
- W4226474313 abstract "Abstract. This research introduces a numerically efficient aerosol activation scheme and evaluates it by using stratus and stratocumulus cloud data sampled during multiple aircraft campaigns in Canada, Chile, Brazil, and China. The scheme employs a quasi-steady-state approximation of the cloud droplet growth equation (QDGE) to efficiently simulate aerosol activation, the vertical profile of supersaturation, and the activated cloud droplet number concentration (CDNC) near the cloud base. The calculated maximum supersaturation values using the QDGE scheme were compared with multiple parcel model simulations under various aerosol and environmental conditions. The differences are all below 0.18 %, indicating good performance and accuracy of the QDGE scheme. We evaluated the QDGE scheme by specifying observed environmental thermodynamic variables and aerosol information from 31 cloud cases as input and comparing the simulated CDNC with cloud observations. The average of mean relative error (MRE‾) of the simulated CDNC for cloud cases in each campaign ranges from 17.30 % in Brazil to 25.90 % in China, indicating that the QDGE scheme successfully reproduces observed variations in CDNC over a wide range of different meteorological conditions and aerosol regimes. Additionally, we carried out an error analysis by calculating the maximum information coefficient (MIC) between the MRE and input variables for the individual campaigns and all cloud cases. MIC values were then sorted by aerosol properties, pollution level, environmental humidity, and dynamic condition according to their relative importance to MRE. Based on the error analysis, we found that the magnitude of MRE is more relevant to the specification of input aerosol pollution level in marine regions and aerosol hygroscopicity in continental regions than to other variables in the simulation." @default.
- W4226474313 created "2022-05-05" @default.
- W4226474313 creator A5003753653 @default.
- W4226474313 creator A5013456790 @default.
- W4226474313 creator A5037871591 @default.
- W4226474313 creator A5047301767 @default.
- W4226474313 creator A5055296461 @default.
- W4226474313 creator A5088893183 @default.
- W4226474313 date "2022-04-07" @default.
- W4226474313 modified "2023-10-14" @default.
- W4226474313 title "Evaluation of a quasi-steady-state approximation of the cloud droplet growth equation (QDGE) scheme for aerosol activation in global models using multiple aircraft data over both continental and marine environments" @default.
- W4226474313 cites W1932223131 @default.
- W4226474313 cites W1963536423 @default.
- W4226474313 cites W1975196041 @default.
- W4226474313 cites W1980026409 @default.
- W4226474313 cites W1981392581 @default.
- W4226474313 cites W1983802970 @default.
- W4226474313 cites W1984884516 @default.
- W4226474313 cites W1985992305 @default.
- W4226474313 cites W1987069473 @default.
- W4226474313 cites W1989411746 @default.
- W4226474313 cites W1990312984 @default.
- W4226474313 cites W1994191218 @default.
- W4226474313 cites W1997359685 @default.
- W4226474313 cites W2011089508 @default.
- W4226474313 cites W2024612183 @default.
- W4226474313 cites W2027680503 @default.
- W4226474313 cites W2030802705 @default.
- W4226474313 cites W2047167353 @default.
- W4226474313 cites W2055178836 @default.
- W4226474313 cites W2055800772 @default.
- W4226474313 cites W2059650903 @default.
- W4226474313 cites W2066349989 @default.
- W4226474313 cites W2070497864 @default.
- W4226474313 cites W2072244200 @default.
- W4226474313 cites W2072405660 @default.
- W4226474313 cites W2075975755 @default.
- W4226474313 cites W2084659566 @default.
- W4226474313 cites W2085620034 @default.
- W4226474313 cites W2099636727 @default.
- W4226474313 cites W2102051575 @default.
- W4226474313 cites W2103575397 @default.
- W4226474313 cites W2105893968 @default.
- W4226474313 cites W2107412067 @default.
- W4226474313 cites W2110942699 @default.
- W4226474313 cites W2112326831 @default.
- W4226474313 cites W2116001021 @default.
- W4226474313 cites W2116478725 @default.
- W4226474313 cites W2118636589 @default.
- W4226474313 cites W2121567183 @default.
- W4226474313 cites W2133769395 @default.
- W4226474313 cites W2146631817 @default.
- W4226474313 cites W2151494953 @default.
- W4226474313 cites W2153517279 @default.
- W4226474313 cites W2163191194 @default.
- W4226474313 cites W2164821941 @default.
- W4226474313 cites W2165700458 @default.
- W4226474313 cites W2168357005 @default.
- W4226474313 cites W2173852084 @default.
- W4226474313 cites W2261790638 @default.
- W4226474313 cites W2531205202 @default.
- W4226474313 cites W2539260159 @default.
- W4226474313 cites W2886285252 @default.
- W4226474313 cites W2951908739 @default.
- W4226474313 cites W2977742200 @default.
- W4226474313 cites W2978557971 @default.
- W4226474313 cites W2989868231 @default.
- W4226474313 cites W2994282369 @default.
- W4226474313 cites W3032999638 @default.
- W4226474313 cites W3034251212 @default.
- W4226474313 cites W3042496433 @default.
- W4226474313 cites W3109070402 @default.
- W4226474313 cites W3160585888 @default.
- W4226474313 cites W4211242048 @default.
- W4226474313 cites W4234548773 @default.
- W4226474313 cites W4252984435 @default.
- W4226474313 doi "https://doi.org/10.5194/gmd-15-2949-2022" @default.
- W4226474313 hasPublicationYear "2022" @default.
- W4226474313 type Work @default.
- W4226474313 citedByCount "0" @default.
- W4226474313 crossrefType "journal-article" @default.
- W4226474313 hasAuthorship W4226474313A5003753653 @default.
- W4226474313 hasAuthorship W4226474313A5013456790 @default.
- W4226474313 hasAuthorship W4226474313A5037871591 @default.
- W4226474313 hasAuthorship W4226474313A5047301767 @default.
- W4226474313 hasAuthorship W4226474313A5055296461 @default.
- W4226474313 hasAuthorship W4226474313A5088893183 @default.
- W4226474313 hasBestOaLocation W42264743131 @default.
- W4226474313 hasConcept C111919701 @default.
- W4226474313 hasConcept C121332964 @default.
- W4226474313 hasConcept C153294291 @default.
- W4226474313 hasConcept C158960510 @default.
- W4226474313 hasConcept C200447597 @default.
- W4226474313 hasConcept C2779345167 @default.
- W4226474313 hasConcept C39432304 @default.
- W4226474313 hasConcept C41008148 @default.
- W4226474313 hasConcept C79974875 @default.
- W4226474313 hasConcept C91586092 @default.