rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Studies in the Atmospheric Sciences
  name:
    name part: Berliner, L. Mark.
    role:
      role term: creator
  name:
    name part: Nychka, Douglas.
  name:
    name part: Hoar, Timothy.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: nyu
    date issued: 2000
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (x, 199 pages)
  abstract: The need to understand and predict the processes that influence the Earth's atmosphere is one of the grand scientific challenges for the next century. Due to the complexity of observational data and the variability of geophysical phenomena at many spatial and temporal scales, statistical science has an important role to play in this effort. This volume is a series of case studies and review chapters that cover many of the recent developments in statistical methodology that are useful for interpreting atmospheric data. Although the applications in this volume target atmospheric sciences, the statistical methodology is general and addresses many common problems that arise in the analysis of spatial and spatio-temporal data. For this reason, it would also serve as a statistical source for graduate students and other researchers across a broad range of geophysical and environmental sciences. L. Mark Berliner is Professor of Statistics at Ohio State University. He has served as Project Leader for the Geophysical Statistics Project (GSP) at the National Center for Atmospheric Research (NCAR), 1995-97. Douglas Nychka is the current GSP Leader and a Senior Scientist at NCAR. Timothy Hoar is an Associate Scientist at NCAR.
  table of contents: A Statistical Perspective on Data Assimilation in Numerical Models -- Multivariate Spatial Models -- Hierarchical Space-Time Dynamic Models -- Experimental Design for Spatial and Adaptive Observations -- Season Variation in Stratospheric Ozone Levels, a Functional Data Analysis Study -- Neural Networks: Cloud Parameterizations -- Exploratory Statistical Analysis of Tropical Oceanic Convection Using Discrete Wavelet Transforms -- Predicting Clear-Air Turbulence -- Spatial Structure of the SeaWiFS Ocean Color Data for the North Atlantic Ocean.
  note: edited by L. Mark Berliner, Douglas Nychka, Timothy Hoar.
  note: Electronic resource.
  subject:
    topic: Statistics
  subject:
    topic: Statistics
  classification: QA276-280
  classification: 519.5
  related item:
    title info:
      title: Lecture notes in statistics (Springer-Verlag) ; 144
  identifier: 9781461221128 (electronic bk.)
  identifier: 1461221129 (electronic bk.)
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: I9W
    record creation date: 121227
    record change date: 20260422203216.7
    record identifier: in00003547155
    language of cataloging:
      language term: eng