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Titlebook: Studies in the Atmospheric Sciences; L. Mark Berliner,Douglas Nychka,Timothy Hoar Book 2000 Springer-Verlag New York, Inc. 2000 Cloud.Scal

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书目名称Studies in the Atmospheric Sciences
编辑L. Mark Berliner,Douglas Nychka,Timothy Hoar
视频video
丛书名称Lecture Notes in Statistics
图书封面Titlebook: Studies in the Atmospheric Sciences;  L. Mark Berliner,Douglas Nychka,Timothy Hoar Book 2000 Springer-Verlag New York, Inc. 2000 Cloud.Scal
描述The National Center for Atmospheric Research (NCAR) in Boulder, Colorado, is a major institution performing research in the environmental sciences. After an open competition, the National Science Foundation gave its financial sup­ port to NCAR for the establishment of a much-needed statistics/probability program in the geophysical sciences. The result is the NCAR Geophysical Statistics Project (GSP). The primary mission of this program is: • To foster excellence in the use of modern statistical science in the geo­ physical and environmental sciences. • To attract and support statistical scientists for collaborative research. To fulfill its mission, GSP engages in research in statistical science and its application to the atmospheric and allied sciences. It supports a variety of collaborative efforts between statistical scientists and disciplinary scientists. Senior statisticians, both members of and visitors to GSP, work in conjunc­ tion with researchers at NCAR and elsewhere in the application of current statistical methods as well as in. the development of new statistical models and techniques. Senior GSP members and NCAR researchers also collaborate in the mentoring of junior me
出版日期Book 2000
关键词Cloud; Scale; Weather; atmospheric science; cloud amount; data analysis; principal component analysis; wind
版次1
doihttps://doi.org/10.1007/978-1-4612-2112-8
isbn_softcover978-0-387-98757-6
isbn_ebook978-1-4612-2112-8Series ISSN 0930-0325 Series E-ISSN 2197-7186
issn_series 0930-0325
copyrightSpringer-Verlag New York, Inc. 2000
The information of publication is updating

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Lecture Notes in Statisticshttp://image.papertrans.cn/t/image/880919.jpg
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,Hierarchical Space—Time Dynamic Models,nships. Furthermore, observations of geophysical processes typically include measurement errors and are often temporally and spatially incomplete. Both of these features can obscure the signal of interest.
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Seasonal Variation in Stratospheric Ozone Levels, a Functional Data Analysis Study,f time scales, building on a vast literature of published ozone trend studies (including [Tia90], [Log94], [Mi197a], [Wea98], and [SRN98]). We present functional data analysis methodology to study sources of variation in observations from balloon-based instruments, known as ozonesondes.
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A Statistical Perspective on Data Assimilation in Numerical Models,volves combining observational data with numerical results to yield a better prediction. It often has the sound of a “black-box procedure,” where one puts in data at one end and it becomes “assimilated” as it comes out of the other. However, this is certainly not the case. One of our goals in this c
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