GMS and FY-1C satellite data in Summer Season (June to August) during the period of 2001~2006 were used to analyze
the spatial and temporal distribution characteristic of convective cloud merger in Yangtze and Huaihe River Basin. The
results show that convective cloud merger in Yangtze and Huaihe River Basin occurs frequently in summer season, and
has a typical spatial and temporal distribution characteristic, coinciding very well with the thunderstorm days distribution
in Yangtze and Huaihe River Basin. a) Cloud mergers in the Yangtze and Huaihe River Basin show a distinct spatial
grouping associated to mesoscale topography. Three high frequency centers are Dabieshan mountain area with frequency
of 28%, Huangshan mountain area with frequency of 23% and Hongzehu area with frequency of 16%. b) Cloud mergers
often occur during late June and early August, with a prominent peak during late July. The diurnal variation of cloud
mergers shows a peak at 1400 LST, some two hours after convective cloud initiation. c) Merging has a significant effect
on cloud system developing. More than 80% merged clouds have apparent increase with enlarging of intensity and area,
and lengthening of lifetime.
Algal chlorophyll measurement is usually used to assess trophic status of lakes. The development of satellite remote sensing technology make it possible to detect spectral features of algal chlorophyll and to map the spatial distribution of algae in large lakes. In this paper, NOAA satellite data were utilized to monitor the blue-green algae waterbloom in Chaohu Lake, together with the water sampling for concentrations of chlorophhyll-a analysis and spectral measuring simultaneously. The result indicates that: if there are chlorophylls of blue-green algae, the water reflectance in the near infrared band will obviously increase. Based on this spectral characteristic and the features of blue-green algae' float, meteorological satellite NOAA/AVHRR data can be used to monitor the blue-green algae waterbloom in large badly contaminated inland lakes.