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<!DOCTYPE article SYSTEM "http://www.nonlin-processes-geophys.net/inc/npg/copernicus.dtd">
<article language="en">
	<journal>
		<journal_title>Nonlinear Processes  in Geophysics</journal_title>
		<journal_url>www.nonlin-processes-geophys.net</journal_url>
		<issn>1023-5809</issn>
		<eissn>1607-7946</eissn>
		<volume_number>8</volume_number>
		<issue_number>6</issue_number>
		<publication_year>2001</publication_year>
	</journal>
	<doi>10.5194/npg-8-467-2001</doi>
	<article_url>http://www.nonlin-processes-geophys.net/8/467/2001/</article_url>
	<abstract_html>http://www.nonlin-processes-geophys.net/8/467/2001/npg-8-467-2001.html</abstract_html>
	<fulltext_pdf>http://www.nonlin-processes-geophys.net/8/467/2001/npg-8-467-2001.pdf</fulltext_pdf>
	<start_page>467</start_page>
	<end_page>481</end_page>
	<publication_date>0000-00-00</publication_date>
	<article_title content_type="html">Sensitivity to observations applied to FASTEX cases</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>A. Doerenbecher</name>
		</author>
		<author numeration="2" affiliations="1">
			<name>T. Bergot</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Météo-France, Centre National de Recherches Météorologiques, Toulouse, France</affiliation>
	</affiliations>
	<abstract content_type="html">The concept of
      targeted observations was implemented during field experiments such as
      FASTEX, NORPEX or WSRP in order to cope with some predictability problems.
      The techniques of targeting used at that moment (adjoint-based or ensemble
      transform methods) lead to quite disappointing results: the efficiency of
      the additional observations deployed over sensitive areas did not turn out
      to remain consistent from one case to another. The influence of targeted
      observations on the forecasts could sometimes consist of strong
      improvements, or sometimes strong degradations. It turns out that the
      latter failure explains why the concept of optimal sampling arose. The
      efficiency of adaptive sampling appears to depend on the assimilation
      scheme that deals with the observations. It is then very useful to
      integrate the nature of the assimilation algorithm, as well as the
      deployment of the conventional network of observations (redundancy issues
      between targeted and conventional network) in the definition of the
      sensitive pattern to be sampled. Therefore, we chose the tool of the
      sensitivity to observations to allow us to test such an approach. The
      sensitivity to targeted observations (that utilizes the adjoint of the
      linearized NWP model and the adjoint of the assimilation operator) seems
      to be a suitable tool to obtain an insight into the tricky issue of the
      optimization of the sampling strategies. To understand better the
      intrinsic patterns and the influence of the 3D-Var assimilation scheme on
      the sensitive structures to be sampled, we present here some detailed
      results on a FASTEX targeting case. We focus on the dropsondes deployed by
      the Gulfstream IV (jet-aircraft) along its first flight during Intense
      Observing Period 17 that started on the 17 February 1997. The sensitivity
      to observation is used as a diagnostic tool for studing targeting from a
      critical point of view. It is shown that assimilation processes can have
      an important effect on the classical sensitivity fields, and particularly
      on their vertical extension. For example, in the studied case, the
      classical sensitivity fields remain at a lower level than 400 hPa, whereas
      the sensitivity to observations stretches up to 250 hPa. However, the
      maximum values can be found at approximately 700 hPa in both sensitivity
      fields. The studied case shows that the efficiency of observations depends
      not only on the sensitivity but also on the deviations between the
      observations and the background field. An example of the use of this
      diagnosis for comparing the relative efficiency of different kinds of
      observations is also presented. This work points out that it is very
      complicated to optimize the efficiency of adaptive observations, and that
      the assimilation of an entire set of observations (both conventional and
      adaptive network) needs to be considered.</abstract>
	<references>
	</references>
</article>

