Comparison of mean properties of simulated convection in a cloud-resolving model with those produced by cumulus parameterization [electronic resource]

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Bibliographic Details
Online Access: Online Access (via OSTI)
Corporate Author: United States. Department of Energy. Office of Energy Research (Researcher)
Format: Government Document Electronic eBook
Language:English
Published: Washington, D.C. : Oak Ridge, Tenn. : United States. Department of Energy. Office of Energy Research ; distributed by the Office of Scientific and Technical Information, U.S. Department of Energy, 1996.
Subjects:

MARC

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245 0 0 |a Comparison of mean properties of simulated convection in a cloud-resolving model with those produced by cumulus parameterization  |h [electronic resource] 
260 |a Washington, D.C. :  |b United States. Department of Energy. Office of Energy Research ;  |a Oak Ridge, Tenn. :  |b distributed by the Office of Scientific and Technical Information, U.S. Department of Energy,  |c 1996. 
300 |a pp. 83-87 :  |b digital, PDF file. 
336 |a text  |b txt  |2 rdacontent. 
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338 |a online resource  |b cr  |2 rdacarrier. 
500 |a Published through SciTech Connect. 
500 |a 04/01/1996. 
500 |a "conf-9503140--" 
500 |a "DE96010942" 
500 |a 5. atmospheric radiation measurement (ARM) science team meeting, San Diego, CA (United States), 19-23 Mar 1995. 
500 |a Dudhia, J.; Parsons, D.B. [National Center for Atmospheric Research, Boulder, CO (United States)] 
520 3 |a An Intensive Observation Period (IOP) of the Atmospheric Radiation Measurement (ARM) Program took place at the Southern Great Plains (SGP) Cloud and Radiation Testbed (CART) site from June 16-26, 1993. The National Center for Atmospheric Research (NCAR)/Penn State Mesoscale Model (MM5) has been used to simulate this period on a 60-km domain with 20- and 6.67-km nests centered on Lamont, Oklahoma. Simulations are being run with data assimilation by the nudging technique to incorporate upper-air and surface data from a variety of platforms. The model maintains dynamical consistency between the fields, while the data correct for model biases that may occur during long-term simulations and provide boundary conditions. For the work reported here the Mesoscale Atmospheric Prediction System (MAPS) of the National Ocean and Atmospheric Administration (NOAA) 3-hourly analyses were used to drive the 60-km domain while the inner domains were unforced. A continuous 10-day period was simulated. 
650 7 |a Oklahoma.  |2 local. 
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650 7 |a General Circulation Models.  |2 local. 
650 7 |a Accuracy.  |2 local. 
650 7 |a Kansas.  |2 local. 
650 7 |a Wind.  |2 local. 
650 7 |a Meteorology.  |2 local. 
650 7 |a Atmospheric Circulation.  |2 local. 
650 7 |a Convection.  |2 local. 
650 7 |a Cloud Cover.  |2 local. 
650 7 |a Environmental Sciences.  |2 edbsc. 
650 7 |a Mathematics, Computers, Information Science, Management, Law, Miscellaneous.  |2 edbsc. 
710 1 |a United States.  |b Department of Energy.  |b Office of Energy Research.  |4 res. 
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