World Library  

Add to Book Shelf
Flag as Inappropriate
Email this Book

Using Adjoint Sensitivity as a Local Structure Function in Variational Data Assimilation : Volume 8, Issue 6 (30/11/-0001)

By Hello, G.

Click here to view

Book Id: WPLBN0004019990
Format Type: PDF Article :
File Size: Pages 9
Reproduction Date: 2015

Title: Using Adjoint Sensitivity as a Local Structure Function in Variational Data Assimilation : Volume 8, Issue 6 (30/11/-0001)  
Author: Hello, G.
Volume: Vol. 8, Issue 6
Language: English
Subject: Science, Nonlinear, Processes
Collections: Periodicals: Journal and Magazine Collection, Copernicus GmbH
Publication Date:
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications


APA MLA Chicago

Hello, G., & Bouttier, F. (-0001). Using Adjoint Sensitivity as a Local Structure Function in Variational Data Assimilation : Volume 8, Issue 6 (30/11/-0001). Retrieved from

Description: Centre National de Recherche de la Météorologie, Météo-France, Toulouse, France. One approach recently proposed in order to improve the forecast of weather events, such as cyclogenesis, is to increase the number of observations in areas depending on the flow configuration. These areas are obtained using, for example, the sensitivity to initial conditions of a selected predicted cyclone. An alternative or complementary way is proposed here. The idea is to employ such an adjoint sensitivity field as a local structure function within variational data assimilation, 3D-Var in this instance. Away from the sensitive area, observation increments project on the initial fields with the usual climatological (or weakly flow-dependent, in the case of 4D-Var) structure functions. Within the sensitive area, the gradient fields are projected using all the available data in the zone, conventional or extra, if any. The formulation of the technique is given and the approach is further explained by using a simple 1D scheme. The technique is implemented in the ARPEGE/IFS code and applied to 11 FASTEX (Fronts and Atlantic Storm-Track Experiment) cyclone cases, together with the targeted observations performed at the time of the campaign. The new approach is shown to allow for the desired stronger impact of the available observations and to systematically improve the forecasts of the FASTEX cyclones, unlike the standard 3D-Var.

Using adjoint sensitivity as a local structure function in variational data assimilation


Click To View

Additional Books

  • Combining Inflation-free and Iterative E... (by )
  • Four-dimensional Ensemble Variational (4... (by )
  • A Case for Variational Geomagnetic Data ... (by )
  • Rank-ordered Multifractal Analysis (Roma... (by )
  • Monofractal or Multifractal: a Case Stud... (by )
  • The Lifecycle of Axisymmetric Internal S... (by )
  • Bias Correction and Post-processing Unde... (by )
  • Collisionless Magnetic Reconnection in a... (by )
  • Automatic Extraction of Faults and Fract... (by )
  • Vertical Mixing and Coherent Anticyclone... (by )
  • Book Review of Stochastic Physics and Cl... (by )
  • Upper Stratospheric Ozone Decrease Event... (by )
Scroll Left
Scroll Right


Copyright © World Library Foundation. All rights reserved. eBooks from Hawaii eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.