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DATA ASSIMILATION
IFS documentation Front Page
Table of contents
CHAPTER 1 Incremental
formulation of 3D/4D variational assimilation-an overview
CHAPTER 2 3D variational assimilation
CHAPTER 3 4D variational assimilation
CHAPTER 4 Background term
CHAPTER 5 Conventional observational
constraints
CHAPTER 6 Satellite observational
constraints
CHAPTER 7 Background, analysis
and forecast errors
CHAPTER 8 Gravity-wave control
CHAPTER 9 Data partitioning (OBSORT)
CHAPTER 10 Observation screening
CHAPTER 11 Analysis of snow
CHAPTER 12 Land surface analysis
CHAPTER 13 SST and sea-ice analysis
CHAPTER 14 Reduced-rank Kalman filter
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2.1 Introduction
This part of the documentation covers the top level controls of 3D-Var (CVA1) and gives a detailed description of a 3D-Var simulation (SIM4D) All of this chapter also applies to 4D-Var with some additions which will be detailed in Chapter 3 `4D variational assimilation' . The interpolation of model fields to observation points (OBSHOR) and the organization of the data in memory (yomsp, yommvo) are also descibed. We explain the structure of the computation of the observation cost function (FJO and FJOS in yomcosjo1) and its gradient, managed by the routines OBSV and TASKOB. The background term will be explained in Chapter 4 `Background term' .
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20.03.2002 |
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