NDLI: Mass conservation and atmospheric dynamics in the Regional Atmospheric Modeling System (RAMS)

Content Provider	Springer Nature Link
Author	Medvigy, David Moorcroft, Paul R. Avissar, Roni Walko, Robert L.
Copyright Year	2005
Abstract	This paper examines the spatio-temporal patterns of atmospheric carbon dioxide transport predicted by the Regional Atmospheric Modeling System (RAMS). Forty-eight hour simulations over northern New England incorporating a simple representation of the diurnal summertime surface carbon dioxide forcing arising from biological activity indicate that, in its native formulation, RAMS exhibits a significant degree of mass non-conservation. Domain-wide rates of non-physical mass gain and mass loss are as large as three percent per day which translates into approximately eleven parts per million per day for carbon dioxide — enough to rapidly dilute the signature of carbon dioxide fluxes arising from biological activity. Analysis shows that this is due to the approximation used by RAMS to compute the Exner function. Substitution of the exact, physically complete equation improves mass conservation by two orders of magnitude. In addition to greatly improving mass conservation, use of the complete Exner function equation has a substantial impact on the spatial pattern of carbon dioxide predicted by the model, yielding predictions differing from a conventional RAMS simulation by as much as forty parts per million. Such differences have important implications both for comparisons of modeled atmospheric carbon dioxide concentrations to observations and for carbon dioxide inversion studies, which use estimates of atmospheric transport of carbon dioxide in conjunction with measurements of atmospheric carbon dioxide concentrations to infer the spatio-temporal distribution of surface carbon dioxide fluxes. Furthermore, use of the complete Exner function equation affects the vertical velocity and water mixing ratio fields, causing significant changes in accumulated precipitation over the region.
Starting Page	109
Ending Page	134
Page Count	26
File Format	PDF
ISSN	15677419
Journal	Environmental Fluid Mechanics
Volume Number	5
Issue Number	1-2
e-ISSN	15731510
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2005-01-01
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	atmospheric inversions carbon dioxide mass conservation mesoscale modeling RAMS tracer transport Hydrogeology Meteorology/Climatology Oceanography Mechanics Environmental Physics
Content Type	Text
Resource Type	Article
Subject	Environmental Chemistry Water Science and Technology

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