Use of simulations of mesoscale convective systems to build a convective parameterization scheme
| dc.contributor.author | Alexander, G. David, author | |
| dc.date.accessioned | 2022-03-28T19:54:23Z | |
| dc.date.available | 2022-03-28T19:54:23Z | |
| dc.date.issued | 1995-12-01 | |
| dc.description | December 1, 1995. | |
| dc.description | Also issued as author's dissertation (Ph.D.) -- Colorado State University, 1996. | |
| dc.description.abstract | A method is described for parameterizing thermodynamic forcing by the mesoscale flow branches of mesoscale convective systems (MCSs) in models with resolution too coarse to resolve these flow branches. This thermodynamic portion of the parameterization contains improvements over previous schemes, including a more sophisticated convective driver and inclusion of the vertical distribution of various physical processes obtained through conditional sampling of two cloud-resolving MCS simulations. A convective momentum parameterization has also been included as a separate component of the parameterization scheme. The momentum scheme includes a parameterization of the convective-scale pressure gradient force, and therefore can account for the effect of the mesoscale organization of the convection on the largescale momentum tendencies. The mesoscale parameterization is tied to a version of the Arakawa-Schubert convective parameterization scheme which is modified to employ a prognostic closure. The parameterized Arakawa-Schubert cumulus convection provides condensed water, ice, and water vapor which drives the parameterization for the large-scale effects of mesoscale circulations associated with the convection. In the mesoscale thermodynamic parameterization, det ermining thermodynamic forcing of the large scale depends on knowing the vertically integrated values and the vertical distributions of phase transformation rates and mesoscale eddy fluxes of entropy and water vapor in mesoscale updrafts and downdrafts. The relative magnitudes of these quantities are constrained by assumptions made about the relationships between various quantities in an MCS 's water budget deduced from the cloud-resolving MCS simulations. The MCS simulations include one of a tropical MCS observed during the 1987 Australian monsoon season (EMEX9), and one of a midlatitude MCS observed during a 1985 field experiment in the central Plains of the U.S. (PRE-STORM 23-24 June). | |
| dc.description.sponsorship | Sponsored by Department of Energy under grant DE-FG03-94ER61749. | |
| dc.format.medium | reports | |
| dc.identifier.uri | https://hdl.handle.net/10217/234585 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation | Catalog record number (MMS ID): 991025724959703361 | |
| dc.relation | QC852 .C6 no. 592 | |
| dc.relation.ispartof | Atmospheric Science Papers (Blue Books) | |
| dc.relation.ispartof | Atmospheric science paper, no. 592 | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.subject.lcsh | Convective clouds | |
| dc.subject.lcsh | Atmospheric circulation | |
| dc.title | Use of simulations of mesoscale convective systems to build a convective parameterization scheme | |
| dc.type | Text | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). |
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