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Toward a Numerical Benchmark for Warm Rain Processes

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cris.lastimport.scopus2024-02-12T20:29:10Z
dc.abstract.enThe Kinematic Driver-Aerosol (KiD-A) intercomparison was established to test the hypothesis that detailed warm microphysical schemes provide a benchmark for lower-complexity bulk microphysics schemes. KiD-A is the first intercomparison to compare multiple Lagrangian cloud models (LCMs), size bin-resolved schemes, and double-moment bulk microphysics schemes in a consistent 1D dynamic framework and box cases. In the absence of sedimentation and collision–coalescence, the drop size distributions (DSDs) from the LCMs exhibit similar evolution with expected physical behaviors and good interscheme agreement, with the volume mean diameter (Dvol) from the LCMs within 1%–5% of each other. In contrast, the bin schemes exhibit nonphysical broadening with condensational growth. These results further strengthen the case that LCMs are an appropriate numerical benchmark for DSD evolution under condensational growth. When precipitation processes are included, however, the simulated liquid water path, precipitation rates, and response to modified cloud drop/aerosol number concentrations from the LCMs vary substantially, while the bin and bulk schemes are relatively more consistent with each other. The lack of consistency in the LCM results stems from both the collision–coalescence process and the sedimentation process, limiting their application as a numerical benchmark for precipitation processes. Reassuringly, however, precipitation from bulk schemes, which are the basis for cloud microphysics in weather and climate prediction, is within the spread of precipitation from the detailed schemes (LCMs and bin). Overall, this intercomparison identifies the need for focused effort on the comparison of collision–coalescence methods and sedimentation in detailed microphysics schemes, especially LCMs.
dc.affiliationUniwersytet Warszawski
dc.contributor.authorPawłowska, Hanna
dc.contributor.authorVié, Benoit
dc.contributor.authorOnishi, Ryo
dc.contributor.authorHoffmann, Fabian
dc.contributor.authorGettelman, Andrew
dc.contributor.authorField, Paul
dc.contributor.authorDziekan, Piotr
dc.contributor.authorArabas, Sylwester
dc.contributor.authorAndrejczuk, Miroslaw
dc.contributor.authorLebo, Zachary J.
dc.contributor.authorHill, Adrian A.
dc.date.accessioned2024-01-26T11:04:04Z
dc.date.available2024-01-26T11:04:04Z
dc.date.issued2023
dc.description.financeNie dotyczy
dc.description.number5
dc.description.volume80
dc.identifier.doi10.1175/JAS-D-21-0275.1
dc.identifier.issn0022-4928
dc.identifier.urihttps://repozytorium.uw.edu.pl//handle/item/123575
dc.identifier.weblinkhttps://journals.ametsoc.org/view/journals/atsc/80/5/JAS-D-21-0275.1.xml
dc.languageeng
dc.pbn.affiliationearth and related environmental sciences
dc.relation.ispartofJournals of the Atmospheric Sciences
dc.relation.pages1329-1359
dc.rightsClosedAccess
dc.sciencecloudnosend
dc.subject.enCloud droplets
dc.subject.enAerosol-cloud interaction
dc.subject.enCloud parameterizations
dc.subject.enClouds
dc.subject.enCloud microphysics
dc.titleToward a Numerical Benchmark for Warm Rain Processes
dc.typeJournalArticle
dspace.entity.typePublication