Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part II: Case Study Comparisons with Observations and Other Schemes.
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| Title: | Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part II: Case Study Comparisons with Observations and Other Schemes. |
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| Authors: | Morrison, Hugh, Milbrandt, Jason A., Bryan, George H., Ikeda, Kyoko, Tessendorf, Sarah A., Thompson, Gregory |
| Source: | Journal of the Atmospheric Sciences. Jan2015, Vol. 72 Issue 1, p312-339. 28p. |
| Subjects: | Cloud physics, Computer simulation of weather forecasting, Squall lines, Meteorological precipitation, Climate sensitivity, Convection (Meteorology), Weather forecasting, Storms |
| Abstract: | A new microphysics scheme has been developed based on the prediction of bulk particle properties for a single ice-phase category, in contrast to the traditional approach of separating ice into various predefined species (e.g., cloud ice, snow, and graupel). In this paper, the new predicted particle properties (P3) scheme, described in Part I of this series, is tested in three-dimensional simulations using the Weather Research and Forecasting (WRF) Model for two contrasting well-observed cases: a midlatitude squall line and winter orographic precipitation. Results are also compared with simulations using other schemes in WRF. Simulations with P3 can produce a wide variety of particle characteristics despite having only one free ice-phase category. For the squall line, it produces dense, fast-falling, hail-like ice near convective updraft cores and lower-density, slower-falling ice elsewhere. Sensitivity tests show that this is critical for simulating high precipitation rates observed along the leading edge of the storm. In contrast, schemes that represent rimed ice as graupel, with lower fall speeds than hail, produce lower peak precipitation rates and wider, less distinct, and less realistic regions of high convective reflectivity. For the orographic precipitation case, P3 produces areas of relatively fast-falling ice with characteristics of rimed snow and low- to medium-density graupel on the windward slope. This leads to less precipitation on leeward slopes and more on windward slopes compared to the other schemes that produce large amounts of snow relative to graupel (with generally the opposite for schemes with significant graupel relative to snow). Overall, the new scheme produces reasonable results for a reduced computational cost. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of the Atmospheric Sciences is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 100255986 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part II: Case Study Comparisons with Observations and Other Schemes. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Morrison%2C+Hugh%22">Morrison, Hugh</searchLink><br /><searchLink fieldCode="AR" term="%22Milbrandt%2C+Jason+A%2E%22">Milbrandt, Jason A.</searchLink><br /><searchLink fieldCode="AR" term="%22Bryan%2C+George+H%2E%22">Bryan, George H.</searchLink><br /><searchLink fieldCode="AR" term="%22Ikeda%2C+Kyoko%22">Ikeda, Kyoko</searchLink><br /><searchLink fieldCode="AR" term="%22Tessendorf%2C+Sarah+A%2E%22">Tessendorf, Sarah A.</searchLink><br /><searchLink fieldCode="AR" term="%22Thompson%2C+Gregory%22">Thompson, Gregory</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Atmospheric+Sciences%22">Journal of the Atmospheric Sciences</searchLink>. Jan2015, Vol. 72 Issue 1, p312-339. 28p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cloud+physics%22">Cloud physics</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation+of+weather+forecasting%22">Computer simulation of weather forecasting</searchLink><br /><searchLink fieldCode="DE" term="%22Squall+lines%22">Squall lines</searchLink><br /><searchLink fieldCode="DE" term="%22Meteorological+precipitation%22">Meteorological precipitation</searchLink><br /><searchLink fieldCode="DE" term="%22Climate+sensitivity%22">Climate sensitivity</searchLink><br /><searchLink fieldCode="DE" term="%22Convection+%28Meteorology%29%22">Convection (Meteorology)</searchLink><br /><searchLink fieldCode="DE" term="%22Weather+forecasting%22">Weather forecasting</searchLink><br /><searchLink fieldCode="DE" term="%22Storms%22">Storms</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: A new microphysics scheme has been developed based on the prediction of bulk particle properties for a single ice-phase category, in contrast to the traditional approach of separating ice into various predefined species (e.g., cloud ice, snow, and graupel). In this paper, the new predicted particle properties (P3) scheme, described in Part I of this series, is tested in three-dimensional simulations using the Weather Research and Forecasting (WRF) Model for two contrasting well-observed cases: a midlatitude squall line and winter orographic precipitation. Results are also compared with simulations using other schemes in WRF. Simulations with P3 can produce a wide variety of particle characteristics despite having only one free ice-phase category. For the squall line, it produces dense, fast-falling, hail-like ice near convective updraft cores and lower-density, slower-falling ice elsewhere. Sensitivity tests show that this is critical for simulating high precipitation rates observed along the leading edge of the storm. In contrast, schemes that represent rimed ice as graupel, with lower fall speeds than hail, produce lower peak precipitation rates and wider, less distinct, and less realistic regions of high convective reflectivity. For the orographic precipitation case, P3 produces areas of relatively fast-falling ice with characteristics of rimed snow and low- to medium-density graupel on the windward slope. This leads to less precipitation on leeward slopes and more on windward slopes compared to the other schemes that produce large amounts of snow relative to graupel (with generally the opposite for schemes with significant graupel relative to snow). Overall, the new scheme produces reasonable results for a reduced computational cost. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of the Atmospheric Sciences is the property of American Meteorological Society and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1175/JAS-D-14-0066.1 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 28 StartPage: 312 Subjects: – SubjectFull: Cloud physics Type: general – SubjectFull: Computer simulation of weather forecasting Type: general – SubjectFull: Squall lines Type: general – SubjectFull: Meteorological precipitation Type: general – SubjectFull: Climate sensitivity Type: general – SubjectFull: Convection (Meteorology) Type: general – SubjectFull: Weather forecasting Type: general – SubjectFull: Storms Type: general Titles: – TitleFull: Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part II: Case Study Comparisons with Observations and Other Schemes. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Morrison, Hugh – PersonEntity: Name: NameFull: Milbrandt, Jason A. – PersonEntity: Name: NameFull: Bryan, George H. – PersonEntity: Name: NameFull: Ikeda, Kyoko – PersonEntity: Name: NameFull: Tessendorf, Sarah A. – PersonEntity: Name: NameFull: Thompson, Gregory IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 00224928 Numbering: – Type: volume Value: 72 – Type: issue Value: 1 Titles: – TitleFull: Journal of the Atmospheric Sciences Type: main |
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