Skip to Main Content
KRISSY: user's guide to modeling three-dimensional wind flow in complex terrainAuthor(s): Michael A. Fosberg; Michael L. Sestak
Source: Gen. Tech. Rep. PSW-92. Berkeley, Calif.: Pacific Southwest Research Station, Forest Service, U.S. Department of Agriculture. 7 p
Publication Series: General Technical Report (GTR)
Station: Pacific Southwest Research Station
View PDF (750 KB)
DescriptionKRISSY is a computer model for generating three-dimensional wind flows in complex terrain from data that were not or perhaps cannot be collected. The model is written in FORTRAN IV This guide describes data requirements, modeling, and output from an applications viewpoint rather than that of programming or theoretical modeling. KRISSY is designed to minimize meteorological requirements―particularly for upper air data. It also includes a program option that derives vertical motion from a solution of the wave equation with momentum conservation. KRISSY differs from other mass-conserving wind flow models in these features and, therefore, is applicable to a broader range of meteorological conditions.
- You may send email to email@example.com to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
CitationFosberg, Michael A.; Sestak, Michael L. 1986. KRISSY: user's guide to modeling three-dimensional wind flow in complex terrain. Gen. Tech. Rep. PSW-GTR-92. Berkeley, CA: U.S. Department of Agriculture, Forest Service, Pacific Southwest Forest and Range Experiment Station. 7 p.
Keywordswind flow models, computer program, meteorology
- A meteorological distribution system for high-resolution terrestrial modeling (MicroMet)
- Modeling smoke plume patterns in drainage flows
- A landscape-scale wildland fire study using coupled weather-wildland fire model and airborne remote sensing
XML: View XML