nethod
In our
dium-
Since
ts and
So we
ment.
their
frared
of the
the 12
RK... is
apest-
thárd-
CTH,
Ü cm
6 km)
nt has
ed for
' one
ed on
annel.
(1)
ectral
solar
imum
alues.
This
ly - to
te for
cases.
/ N
AT > -3 AT < -3 AT > -3 AT s -3
Clear sky | |Probably Cloudy Cloudy
cloudy or snow
(a) (b) (c) (d)
Figure 1: Cloud detection scheme.
Where AT = T,2 - T9; T,2 and Ts - calibrated IR cloud
brightness temperature at 12 UTC and 9 UTC
respectively. Experiments show that & has different
values within the year. 6 — 0.3 for period from May
until September and & = 0.5 from October until April.
Cloud top height assignment
The cloud top height assignment is based on the IR cloud
brightness temperature. The ECMWF forecasts are used
as supplementary data to derive the CTH. The technique
is based on finding the two neighbouring levels where the
IR cloud brightness temperature takes place. The level,
where the brightness temperature fits the forecast
temperature, represents the cloud top level (height). The
calculation is accomplished for cloudy [(c) and (d) cases
in Fig 1.j or probably cloudy [(b) case in Fig. 1.] pixels.
The assigned heights were compared with the maximum
(Rad. Max) and the average (Rad. Avg) values of radar
pixels in 3 km surrounding area.
RESULTS AND DISCUSSION
Radar data is characterised by high sensitivity in the
locality of the radar which decreases depending on the
distance (Fig. 2a-2d.) Based on our preliminary
computations we took into account only the data not
further than 60-100 km from the MRL-5 but skipped the
data from the nearest neighbourhood. Comparing the
CTHs derived from radar and satellite measurements we
found comparable results when there was only one cloud
type (Fig. 3. and Fig.4.). In case of multilayer cloudiness
big differences were found between the two derived
CTHs (Fig. 5.) due to the different measurement
technique of satellite and radar. Thus, satellite measures
from above the top of the cloud while the radar detects
from the ground. Hence the radar detects the top of the
lower cloud while the satellite measurements correspond
to the top of the upper one.
In general, the CTHs derived from satellite data are
higher than the ones derived from radar data.
Using predicted profiles in the CTH calculation scheme
could cause systematic errors which may increase the
inaccuracy of the results. The period used for the
investigation (from January until April 1998) was too
short to find systematic errors furthermore there were not
enough days when only one cloud type was observed by
MRL-5. Therefore this investigation requires data for
much longer period According to the first results the CTH
data derived from satellite and radar measurements have
to be compared with other calculations. Thus, numerical
weather prediction products or results of an inverse model
could be used for this purpose.
CONCLUSIONS
The CTH data derived from satellite and radar
measurements can be compared only in case when one
cloud type is observed.
To estimate the systematic error of the calculation scheme
a longer observation period is required.
It is recommended to compare the CTH data derived from
satellite measurements -besides the radar data- with other
calculations.
ACKNOWLEDGEMENTS
This study was partially supported by the National
Comity for Technological Development (OMFB).
REFERENCES
Derrien M., Lavanant L. and LeGléau H. (1988):
Retrieval of the top temperature of semi-transparent
clouds with AVHRR. Proceedings of the IRS'88
conference pp.:199-202.
Menzel W.P., Smith W.L. and Steward T.R. (1983):
Improved Cloud Motion Wind Vector and Altitude
Assignment Using VAS, AMS, Vol.22, pp.:377-384.
Nieman SJ. et al. (1997): Fully Automated Cloud
DriftWinds in NESDIS Operations. Bulletin of the
American Meteorological Society, Vol.78, No.6,
pp:1121-1133.
Nieman S.J., Schmetz J. and Menzel W.P. (1993): A
Comparison of Several Techniques to Assign Heights to
Cloud Tracers. AMS Vol32, pp.:1559-1568.
Schmetz J. et al. (1993): Operational Cloud-Motion
Winds from Meteosat Infrared Images. Journal of
Applied Meteorology, Vol32. pp.:1206-1224.
Tánczer T. (1997): A felhózet analízise müholdfelvételen.
Légkor, 1997/1, pp.11-15..
Intemational Archives of Photogrammetry and Remote Sensing. Vol. XXXII, Part 7, Budapest, 1998 743