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<bibitem type="J">   <ARLID>0367533</ARLID> <utime>20240103195854.9</utime><mtime>20111125235959.9</mtime>   <WOS>000296475700014</WOS> <SCOPUS>84855783419</SCOPUS>  <DOI>10.1175/2011MWR3586.1</DOI>           <title language="eng" primary="1">Marginalized Particle Filtering Framework for Tuning of Ensemble Filters</title>  <specification> <page_count>10 s.</page_count> </specification>   <serial><ARLID>cav_un_epca*0254414</ARLID><ISSN>0027-0644</ISSN><title>Monthly Weather Review</title><part_num/><part_title/><volume_id>139</volume_id><volume>11 (2011)</volume><page_num>3589-3599</page_num></serial>    <keyword>ensemble finter</keyword>   <keyword>marginalized particle filter</keyword>   <keyword>data assimilation</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101207</ARLID> <name1>Šmídl</name1> <name2>Václav</name2> <full_dept language="cz">Adaptivní systémy</full_dept> <full_dept language="eng">Department of Adaptive Systems</full_dept> <department language="cz">AS</department> <department language="eng">AS</department> <institution>UTIA-B</institution> <full_dept>Department of Adaptive Systems</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0228606</ARLID> <name1>Hofman</name1> <name2>Radek</name2> <full_dept language="cz">Adaptivní systémy</full_dept> <full_dept>Department of Adaptive Systems</full_dept> <department language="cz">AS</department> <department>AS</department> <institution>UTIA-B</institution> <full_dept>Department of Adaptive Systems</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>   <source> <url>http://library.utia.cas.cz/separaty/2011/AS/smidl-0367533.pdf</url> </source>        <cas_special> <project> <project_id>VG20102013018</project_id> <agency>GA MV</agency> <ARLID>cav_un_auth*0265869</ARLID> </project> <project> <project_id>GP102/08/P250</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0241640</ARLID> </project> <research> <research_id>CEZ:AV0Z10750506</research_id> </research>  <abstract language="eng" primary="1">Marginalized particle ltering (MPF), also known as Rao-Blackwellized particle filtering has been recently developed as a hybrid method combining analytical lters with particle filters. In this paper, we investigate the prospects of this approach in enviromental modelling where the key concerns are nonlinearity, high-dimensionality, and computational cost. In our formulation, exact marginalization in the MPF is replaced by approximate marginalization yielding a framework for creation of new hybrid lters. In particular, we propose to use the MPF framework for on-line tuning of nuisance parameters of ensemble filters. Strength of the framework is demonstrated on the joint estimation of the inflation factor, the measurement error variance and the length-scale parameter of covariance localization. It is shown that accurate estimation can be achieved with a moderate number of particles. Moreover, this result was achieved with naively chosen proposal densities leaving space for further improvements.</abstract>     <reportyear>2012</reportyear>  <RIV>BB</RIV>     <unknown tag="mrcbC52"> 4 A 4a 20231122134755.0 </unknown>  <permalink>http://hdl.handle.net/11104/0202179</permalink>          <unknown tag="mrcbT16-e">METEOROLOGYATMOSPHERICSCIENCES</unknown> <unknown tag="mrcbT16-f">3.004</unknown> <unknown tag="mrcbT16-g">0.635</unknown> <unknown tag="mrcbT16-h">&gt;10.0</unknown> <unknown tag="mrcbT16-i">0.0326</unknown> <unknown tag="mrcbT16-j">1.418</unknown> <unknown tag="mrcbT16-k">16821</unknown> <unknown tag="mrcbT16-l">230</unknown> <unknown tag="mrcbT16-s">2.835</unknown> <unknown tag="mrcbT16-4">Q1</unknown> <unknown tag="mrcbT16-B">69.237</unknown> <unknown tag="mrcbT16-C">75.352</unknown> <unknown tag="mrcbT16-D">Q2</unknown> <unknown tag="mrcbT16-E">Q1</unknown> <arlyear>2011</arlyear>    <unknown tag="mrcbTft">  Soubory v repozitáři: smidl-0367533.pdf </unknown>    <unknown tag="mrcbU14"> 84855783419 SCOPUS </unknown> <unknown tag="mrcbU34"> 000296475700014 WOS </unknown> <unknown tag="mrcbU63"> cav_un_epca*0254414 Monthly Weather Review 0027-0644 1520-0493 Roč. 139 č. 11 2011 3589 3599 </unknown> </cas_special> </bibitem>