HR: 15:00h
AN: U23A-04    [Abstracts]
TI: Simulations of the 2004 NAME Field Season by Regional and Global Atmospheric Models: The NAMAP-2 Assessment
AU: * Gutzler, D S
EM: gutzler@unm.edu
AF: University of New Mexico, Dept. of Earth & Planetary Sciences, Albuquerque, NM 87131, United States
AU: Williams, L N
EM: lindsey.n.williams@noaa.gov
AF: NOAA Climate Prediction Center, 5200 Auth Road, Camp Springs, MD 20746, United States
AU: Kelly, P
EM: pkelly@rsmas.miami.edu
AF: University of Miami, Rosenstiel School of Marine and Atmospheric Sciences 4600 Rickenbacker Causeway, Miami, FL 33149, United States
AU: Mapes, B
EM: bmapes@rsmas.miami.edu
AF: University of Miami, Rosenstiel School of Marine and Atmospheric Sciences 4600 Rickenbacker Causeway, Miami, FL 33149, United States
AU: Schemm, J
EM: jae.schemm@noaa.gov
AF: NOAA Climate Prediction Center, 5200 Auth Road, Camp Springs, MD 20746, United States
AB: The second phase of the NAME Model Assessment Project (NAMAP2) is a coordinated set of atmospheric simulations of the 2004 North American Monsoon season, associated with the NAME field campaign. Simulations using prescribed, time-varying SST fields were carried out last year by 6 global models and 4 regional models, implementing a variety of model resolutions and physical parameterizations. Output was saved in the form of both (a) subdaily time series of horizontal fields of standard meteorological and surface variables in order to examine the simulated hydroclimatology of Southwest North America, resolving the diurnal cycle; (b) high resolution time series of full model output in vertical columns colocated with NAME field sites where soundings were taken, for more detailed analysis of convective processes. An online atlas of NAMAP2 results can be accessed at: http:rsmas.miami.edu/personal/pkelly/Research.html. In this presentation we will summarize the results obtained to date and frame what appear to be outstanding issues in simulating warm season precipitation in complex terrain. NAMAP2 analyses confirm significant inconsistency among model simulations of the diurnal cycle of precipitation. The biggest component of model disagreement, especially among the regional models, seems to be in the amount of resolved precipitation generated by the models. A related disparity among the simulations is the amount of radiatively active cloudiness generated. The frequency of days with significant precipitation amounts (0.1" or greater) varies widely among models and available operational precipitation analyses. Special NAME precipitation observations are being used to provide additional detail on the actual precipitation rates and frequencies in the core monsoon domain. Model simulations of monsoon onset and analysis of surface flux, surface radiation and soil moisture fields are being analyzed at present.
UR: http:rsmas.miami.edu/personal/pkelly/Research.html
DE: 1840 Hydrometeorology
DE: 1854 Precipitation (3354)
DE: 3310 Clouds and cloud feedbacks
DE: 3355 Regional modeling
DE: 9350 North America
SC: Union [U]
MN: 2007 Joint Assembly