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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
Previous Section
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).Next Section
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20.03.2002 |
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