Full text: Resource and environmental monitoring

  
  
DETERMINATION OF CLOUD TOP HEIGHT USING METEOROLOGICAL SATELLITE 
AND RADAR DATA 
R. Randriamampianina*, J. Nagy**, Gy. Gyarmati** and J. Kerényi* 
* research fellows, Satellite Research Laboratory of the Hungarian Meteorological Service 
** research fellow, Division of Aerology and Radarmeteorology of the Hungarian Meteorological Service 
Commission VII 
KEY WORDS: MRL-5 Weather Radar, Digital 
Meteosat, Cloud Detection, Cloud Top Height 
ABSTRACT 
At the Hungarian Meteorological Service we receive the 
digital Meteosat images and operate a radar network 
which consist of three MRL-5 weather radars. In this 
study we derive the cloud top height (CTH) from 
Meteosat images and compare it with echo top values 
calculated from RHI vertical radar pictures. 
Cloud detection method has been developed using a 
threshold technique based on infrared and visible data of 
Meteosat. After cloud detection the cloud top height is 
calculated operationally from the infrared brightness 
values and ECMWF predicted temperature profiles at 12 
UTC. For the comparison vertical radar pictures 
measured at 3 and 10 cm wavelength in different ranges 
(32, 64, 128 and 256 km) are used. 
Comparable results were found in those cases when one 
cloud type was observed. 
INTRODUCTION 
The nowcasting system recently worked out at the 
Hungarian Meteorological Service requires cloud top 
height (CTH) data as recent as possible. For this reason a 
reliable calculation scheme to determine the CTH is being 
worked out. The geostationary satellite (in our case 
Meteosat) provides consecutive images that allow us to 
know the cloud motion. At the Satellite Research 
Laboratory we receive digital pictures from Meteosat 3 
hourly. 
Many methods were developed to assign the CTH from 
the remotely sensed data, such as the CO, absorption 
method (Menzel et al. 1983), the histogram method 
(Derrien et al, 1988), the water vapour absorption 
method (Schmetz et al., 1993; Nieman et al., 1993 and 
Nieman et al, 1997) and the infrared (IR) window 
method (Schmetz et al., 1993). 
We use the IR window method for the CTH assignment at 
this stage. This paper describes the cloud detection and 
CTH assignment schemes used and discusses the first 
results by comparing them with data derived from radar 
measurement. A conclusion has been drawn from the 
preliminary results. 
MATERIALS AND METHODS 
Database 
For the CTH assignment using the IR window method 
ancillary data are required (Schmetz et al., 1993). In our 
case the forecasts of the European Centre for Medium- 
Range Weather Forecasts (ECMWT) are used. Since 
November 1996, we receive the products (forecasts and 
analyses) of ECMWT, unfortunately with delay. So we 
are obliged to use the forecasts for the CTH assignment. 
The ECMWF data are archived according to their 
acquisitions. 
We receive digital images (in the visible, the infrared 
window and the water vapour absorption channels) of the 
Meteosat every 3 hour. This study is carried out for the 12 
UTC data. 
The Hungarian  radarmeteorological network is 
constituted of 3 radars. They are situated in Budapest- 
Lórinc, Nyiregyhaza-Napkor and in Szentgothard- 
Farkasfa. For the comparison with the detected CTH, 
vertical radar pictures (measured at 3 and 10 cm 
wavelength) in different ranges (32, 64, 128 and 256 km) 
are measured hourly. The radar vertical measurement has 
only one direction. 
The period from January until April 1998 was used for 
this estimation. 
Cloud detection 
The cloud detection technique is close to the one 
published by Tánczer (1997). The method is based on 
threshold method using the image from visible channel. 
The visible threshold is computed as follows: 
n= f. f. min 
f. max fr min : (1) 
Where f, is the brightness value from the visible spectral 
channel at 12 UTC already corrected for the solar 
elevation angle. fin and fin. are the global minimum 
and maximum of f, after filtration of the erroneous values. 
The cloud detection scheme is presented in Fig.l. This 
scheme is simplified according to the aim of the study - to 
derive the CTH. Thus, it should be more complicate for 
cloud classification and for cloud type specification cases. 
742 International Archives of Photogrammetry and Remote Sensing. Vol. XXXII, Part 7, Budapest, 1998 
  
  
  
  
  
  
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