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  <titleInfo>
    <title>Earth system modeling, data assimilation and predictability</title>
    <subTitle>atmosphere, oceans, land and human systems</subTitle>
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  <name type="personal">
    <namePart>Kalnay, Eugenia.</namePart>
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  <name type="personal">
    <namePart>Mote, Safa.</namePart>
    <role>
      <roleTerm type="text">author</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Da, Cheng.</namePart>
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    <place>
      <placeTerm type="text">Cambridge, UK</placeTerm>
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    <place>
      <placeTerm type="text">New York, NY</placeTerm>
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    <publisher>Cambridge University Press</publisher>
    <dateIssued>2024</dateIssued>
    <edition>2nd.</edition>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <extent>xxxii, 340 p. ; 24 cm.</extent>
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  <abstract>"Data Assimilation methods are now applied to many areas of prediction and forecasting. This second edition introduces readers to applications across Earth systems and coupled Earth-Human Systems. It's indispensable for advanced undergraduate and graduate students, researchers, and practitioners working in weather forecasting and climate prediction"--</abstract>
  <note type="statement of responsibility">by Eugenia Kalnay, Safa Mote and Cheng Da.</note>
  <note>Earlier edition published in 2003 as: Atmospheric modeling, data assimilation, and predictability.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Numerical weather forecasting</topic>
  </subject>
  <subject>
    <topic>Atmospheric Science</topic>
  </subject>
  <classification authority="ddc" edition="23">551.634 KAL.E</classification>
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      <publisher>Cambridge, UK ; New York, NY : Cambridge University Press, 2024</publisher>
      <edition>Second edition.</edition>
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    <identifier type="local">(DLC) 2023057631</identifier>
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  <identifier type="isbn">9781107401464 (pbk.)</identifier>
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