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Robert E. Eskridge, Francis S. Binkowski, J. C. R. Hunt, Terry L. Clark, and Kenneth L. Demerjian


A finite-difference highway model is presented which uses surface layer similarity theory and a vehicle wake theory to determine the atmospheric structure along a roadway. Surface similarity is used to determine the wind profile and eddy diffusion profiles in the ambient atmosphere. The ambient atmosphere is treated as a basic-state atmosphere on which the disturbances due to vehicle wakes are added. A conservation of species equation is then solved using an upstream-flux corrected technique which insures positive concentrations. Simulation results from the highway model are compared with 58 half-hour periods of data (meteorological and SF6 tracer) taken by General Motors. The results show that the predictions of this model are closer to the observations than those of the Gaussian-formulated EPA highway model (HIWAY).

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Nathan J. Mantua, Steven R. Hare, Yuan Zhang, John M. Wallace, and Robert C. Francis

Evidence gleaned from the instrumental record of climate data identifies a robust, recurring pattern of ocean–atmosphere climate variability centered over the midlatitude North Pacific basin. Over the past century, the amplitude of this climate pattern has varied irregularly at interannual-to-interdecadal timescales. There is evidence of reversals in the prevailing polarity of the oscillation occurring around 1925, 1947, and 1977; the last two reversals correspond to dramatic shifts in salmon production regimes in the North Pacific Ocean. This climate pattern also affects coastal sea and continental surface air temperatures, as well as streamflow in major west coast river systems, from Alaska to California.

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Safat Sikder, Xiaodong Chen, Faisal Hossain, Jason B. Roberts, Franklin Robertson, C. K. Shum, and Francis J. Turk


This study asks the question of whether GCMs are ready to be operationalized for streamflow forecasting in South Asian river basins, and if so, at what temporal scales and for which water management decisions are they likely to be relevant? The authors focused on the Ganges, Brahmaputra, and Meghna basins for which there is a gridded hydrologic model calibrated for the 2002–10 period. The North American Multimodel Ensemble (NMME) suite of eight GCM hindcasts was applied to generate precipitation forecasts for each month of the 1982–2012 (30 year) period at up to 6 months of lead time, which were then downscaled according to the bias-corrected statistical downscaling (BCSD) procedure to daily time steps. A global retrospective forcing dataset was used for this downscaling procedure. The study clearly revealed that a regionally consistent forcing for BCSD, which is currently unavailable for the region, is one of the primary conditions to realize reasonable skill in streamflow forecasting. In terms of relative RMSE (normalized by reference flow obtained from the global retrospective forcings used in downscaling), streamflow forecast uncertainty (RMSE) was found to be 38%–50% at monthly scale and 22%–35% at seasonal (3 monthly) scale. The Ganges River (regulated) experienced higher uncertainty than the Brahmaputra River (unregulated). In terms of anomaly correlation coefficient (ACC), the streamflow forecasting at seasonal (3 monthly) scale was found to have less uncertainty (>0.3) than at monthly scale (<0.25). The forecast skill in the Brahmaputra basin showed more improvement when the time horizon was aggregated from monthly to seasonal than the Ganges basin. Finally, the skill assessment for the individual seasons revealed that the flow forecasting using NMME data had less uncertainty during monsoon season (July–September) in the Brahmaputra basin and in postmonsoon season (October–December) in the Ganges basin. Overall, the study indicated that GCMs can have value for management decisions only at seasonal or annual water balance applications at best if appropriate historical forcings are used in downscaling. The take-home message of this study is that GCMs are not yet ready for prime-time operationalization for a wide variety of multiscale water management decisions for the Ganges and Brahmaputra River basins.

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history, policy, and future of industrial meteorology

Papers presented at Session 4 of the 56th Annual Meeting of the AMS, 20 January 1976, Philadelphia, Pa.

Robert D. Elliott, Charles C. Bates, W. Boynton Beckwith, John E. Wallace, Francis K. Davis, Loren W. Crow, Edward S. Epstein, D. Ray Booker, and John C. Freeman
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Gregory C. Johnson, Rick Lumpkin, Tim Boyer, Francis Bringas, Ivona Cetinić, Don P. Chambers, Lijing Cheng, Shenfu Dong, Richard A. Feely, Baylor Fox-Kemper, Eleanor Frajka-Williams, Bryan A. Franz, Yao Fu, Meng Gao, Jay Garg, John Gilson, Gustavo Goni, Benjamin D. Hamlington, Helene T. Hewitt, William R. Hobbs, Zeng-Zhen Hu, Boyin Huang, Svetlana Jevrejeva, William E. Johns, Sato Katsunari, John J. Kennedy, Marion Kersalé, Rachel E. Killick, Eric Leuliette, Ricardo Locarnini, M. Susan Lozier, John M. Lyman, Mark A. Merrifield, Alexey Mishonov, Gary T. Mitchum, Ben I. Moat, R. Steven Nerem, Dirk Notz, Renellys C. Perez, Sarah G. Purkey, Darren Rayner, James Reagan, Claudia Schmid, David A. Siegel, David A. Smeed, Paul W. Stackhouse, William Sweet, Philip R. Thompson, Denis L. Volkov, Rik Wanninkhof, Robert A. Weller, Caihong Wen, Toby K. Westberry, Matthew J. Widlansky, Josh K. Willis, Lisan Yu, and Huai-Min Zhang
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