MIT Libraries homeMIT Libraries logoDSpace@MIT

MIT
View Item 
  • DSpace@MIT Home
  • Center for Global Change Science
  • Joint Program on the Science and Policy of Global Change Reports
  • View Item
  • DSpace@MIT Home
  • Center for Global Change Science
  • Joint Program on the Science and Policy of Global Change Reports
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Parameterization of urban sub-grid scale processes in global atmospheric chemistry models

Author(s)
Calbó, Josep.; Pan, Wen Wei.; Webster, Mort David.; Prinn, Ronald G.; McRae, Gregory J.
Thumbnail
DownloadMITJPSPGC_Rpt20.pdf (376.1Kb)
Metadata
Show full item record
Abstract
We have derived a parameterization consisting of a set of analytical expressions that approximate the predictions by the CIT Urban Airshed Model for the net export to the environment (i.e., effective emissions) of several chemical species, as functions of fourteen input parameters. For each species, effective emissions are a function of actual urban emissions of this and other species and of other urban domain properties such as meteorology. Effective emissions may be "aged" emissions of primary pollutants or actual production of secondary pollutants. To develop the parameterization we have applied the probabilistic collocation method, which uses the probability density functions of the inputs to generate a set of orthogonal polynomials. These polynomials are then used as the basis for a polynomial chaos expansion that approximates the actual response of the CIT model to its inputs. We assume that seasonal variations can be represented by sinusoidal functions. The parameterization provides a computationally very efficient simulation of the actual model behavior. We have compared the outputs of the parameterization with the outputs of the CIT model, and we conclude that it gives a quite good approximation for effective emissions, at least in the regions of highest probability of the input parameters. This parameterization is applicable to detailed uncertainty and sensitivity analyses and enables computationally efficient inclusion of urban-scale processes as sub-grid scale phenomena in global-scale models.
Description
Includes bibliographical references (p. 29-30).
 
Abstract in HTML and technical report in HTML and PDF available on the Massachusetts Institute of Technology Joint Program on the Science and Policy of Global Change website (http://mit.edu/globalchange/www/).
 
Date issued
1997-07
URI
http://mit.edu/globalchange/www/abstracts.html#a20
http://hdl.handle.net/1721.1/3629
Publisher
MIT Joint Program on the Science and Policy of Global Change
Other identifiers
no. 20
Series/Report no.
Report no. 20

Collections
  • Joint Program on the Science and Policy of Global Change Reports

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

Login

Statistics

OA StatisticsStatistics by CountryStatistics by Department
MIT Libraries homeMIT Libraries logo

Find us on

Twitter Facebook Instagram YouTube RSS

MIT Libraries navigation

SearchHours & locationsBorrow & requestResearch supportAbout us
PrivacyPermissionsAccessibility
MIT
Massachusetts Institute of Technology
Content created by the MIT Libraries, CC BY-NC unless otherwise noted. Notify us about copyright concerns.