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Home > Research > Ifsdocs > ASSIMILATION >  
   

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

REFERENCES

 
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5.6 The observation operator for temperature




Temperature is interpolated linearly in pressure (PPINTP), in the routine PPT. Above the highest model level the temperature is kept constant and equal to the value of the highest model level. Between the lowest model level and the model's surface the temperature is interpolated linearly, using:

 
(5.15)


Below the lowest model level the temperature is extrapolated by

 
(5.16)


with , for , but is modified for high orography to , where

 
(5.17)


for , and

 
(5.18)


for . If then is reset to zero. The two temperatures and are computed using Eqs. (5.6) to (5.9).


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