Presentation Open Access

Data Assimilation: From an Eventful Past to a Bright Future

Ghil Michael

MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="">
  <datafield tag="041" ind1=" " ind2=" ">
    <subfield code="a">eng</subfield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">climate sciences, control theory, filtering theory, nonautonomous dynamical systems, parameter estimation,</subfield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">random dynamical systems, sequential estimation</subfield>
  <controlfield tag="005">20220216134935.0</controlfield>
  <datafield tag="500" ind1=" " ind2=" ">
    <subfield code="a">This invited talk was presented as part of the  Special Event: History of Data Assimilation (11 Feb. 2022 / 15-17 UTC),, of the International Symposium on Data Assimilation - Online,</subfield>
  <controlfield tag="001">6092646</controlfield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">11785981</subfield>
    <subfield code="z">md5:907e911eb69c82d4385a237f81ef09e8</subfield>
    <subfield code="u">'22-Ghil_vZ.pdf</subfield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2022-02-15</subfield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire</subfield>
    <subfield code="o"></subfield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">ENS, Paris, and UCLA</subfield>
    <subfield code="0">(orcid)0000-0001-5177-7133</subfield>
    <subfield code="a">Ghil Michael</subfield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Data Assimilation: From an Eventful Past to a Bright Future</subfield>
  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="c">820970</subfield>
    <subfield code="a">Tipping Points in the Earth System</subfield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u"></subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2"></subfield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;&lt;strong&gt;Data Assimilation: From an Eventful Past to a Bright Future&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Michael Ghil,&amp;nbsp;Ecole Normale Sup&amp;eacute;rieure and PSL University, Paris, France, and University of California at Los Angeles, Los Angeles, CA, USA&lt;/p&gt;

&lt;p&gt;Vilhelm&amp;nbsp;Bjerknes first described weather prediction as an initial-value problem in 1904. As John&amp;nbsp;von Neumann and associates started using computers to implement this idea immediately after World War II, it quickly became apparent that the requisite initial data available then were incomplete. The appearance of weather satellites in the 1960s led further on to the concept of time-continuous assimilation of remote-sensing data. Nowadays, data assimilation (DA) is being applied across all the areas of the climate sciences and much beyond.&lt;/p&gt;

&lt;p&gt;This presentation traces the evolution of DA methodology from the successive corrections and polynomial interpolation of the beginnings through the development of sequential-estimation (&amp;ldquo;Kalman filtering&amp;rdquo;) and control-theoretical (&amp;ldquo;variational&amp;rdquo; or &amp;ldquo;adjoint&amp;rdquo;) methods to today&amp;rsquo;s machine-learning&amp;ndash;aided methods. Key concepts, such as information transfer between variables and between regions, as well as parameter estimation and new areas of applications are emphasized. Cutting-edge developments covered in the presentation touch&amp;nbsp;upon the application of concepts and tools from non-autonomous and random dynamical systems theory, as well as upon combining machine learning with DA and with knowledge-based models for weather and climate prediction.&lt;/p&gt;</subfield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.5281/zenodo.6092645</subfield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.5281/zenodo.6092646</subfield>
    <subfield code="2">doi</subfield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">presentation</subfield>
All versions This version
Views 4343
Downloads 2929
Data volume 341.8 MB341.8 MB
Unique views 3333
Unique downloads 2424


Cite as