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[null,"1.","Record Nr.",null,"UNINA9910963871203321"]
[null,null,"Titolo",null,"Improving the scientific foundation for atmosphere-land-ocean simulations : report of a workshop / / Committee on Challenges in Representing Physical Processes in Coupled Atmosphere-Land-Ocean Models"]
[null,null,"Pubbl/distr/stampa",null,"Washington, D.C., : National Academies Press, c2005"]
[null,null,"ISBN",null,"0-309-54928-0"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (85 p.)"]
[null,null,"Disciplina",null,"551.5246"]
[null,null,"Soggetti",null,"Climatology"]
[{"$nulls":4},"Meteorology"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,"Nota di contenuto",null,"Introduction -- Prevalence, cost, and patterns of nam use -- Contemporary approaches to evidence of treatment effectiveness : a context for nam research -- Need for innovative designs in research on nam and conventional medicine -- State of emerging evidence on nam -- An ethical framework for nam research, practice, and policy -- Integration of nam and conventional medicine -- Educational programs in nam -- Dietary supplements -- Conclusion."]
[null,null,null,"Sommario/riassunto","The National Academies' Board on Atmospheric Sciences and Climate (BASC) held a workshop to explore and evaluate current efforts to model physical processes of coupled atmosphere-land-ocean (A-L-O) models. Numerical models of the atmosphere and ocean are central to weather prediction, research, and education. Although great strides have been made over the past few decades in understanding the atmosphere and ocean, modeling capabilities, and numerical A-L-O simulations, some unresolved processes in the models do not adequately represent knowledge of the underlying physics. Moreover, there is evidence that further progress in numerical simulations is being impeded by the slow pace of improvement in the representation of key physical processes in the models and the fact that geophysical flow models are not receiving the attention needed to make these tools more useful and accurate. These models often are used to predict future events, so it is imperative that their underlying physical processes be represented as robustly as possible. During the "]
[{"$nulls":4},"workshop, the parameterization of physical processes in A-L-O models was addressed, including associated errors, testing, and efforts to improve the use of parameterizations. Participants also examined intellectual and scientific challenges in modeling and highlighted the idea that some of the key impediments to progress in representing physical processes are primarily cultural in nature."]