A review of seismological data on the crustal structure of the East African Rift zone is presented. The only refraction line is that along the Gregory Rift, which indicates a 7.5 km/sec refractor which is presumed to be the Moho. The bulk of data is provided by surface-wave dispersion studies. Some preliminary measurements of crustal and sub-Moho velocities using the University of Durham array at Kaptagat in Kenya are included.
There is now a growing body of evidence that the crust is generally of shield type over the whole rift zone. The exception is along the axis of the Gregory Rift, where a low-velocity Moho and some crustal modification is apparent. This is presumably the result of magma intrusions and suggests some crustal separation along this section of the rift. Sub-Moho velocities are probably normal outside the rifts themselves, though anomalously low upper-mantle velocities are to be associated with rifting. There is firm evidence for thinning of the lithosphere along the eastern branch of the rift. A cross-section of the Gregory Rift which is consistent with the current data is presented. 相似文献
The MM5, which is the PSU/NCAR mesoscale nonhydrostatic limited-area model, and its
adjoining modeling system are used in this paper. Taking T106 analysis data as background field the authors
generate an optimal initial condition of a typhoon by using two bogus data assimilation schemes, and conduct
some numerical simulating experiments. The results of No.9608 typhoon (Gloria) show that the optimal initial
field have some dramatic improvements, such as inaccurate position of typhoon center, weaker typhoon
circulation and incomplete inner structure of the typhoon, which are caused by shortage of data over the sea.
Some improvements have been made in the track forecast. Through several comparing experiments, the
initialization optimized by BDA scheme is found to be more reasonable than GFDL scheme and its typhoon track
forecast is better. 相似文献
Algorithms for estimating sea-ice extent from remotely sensed microwave sensor data can benefit from knowledge of the "a priori" distribution of the daily expansion and contraction of the sea-ice pack. To estimate the probability distribution of daily Antarctic sea-ice extent change, two independent sea-ice datasets are analyzed: sea-ice extent derived from the QuikSCAT scatterometer and ice concentration estimates from the Special Sensor Microwave/Imager. The daily sea-ice advance and retreat is tracked over a four-year period. The distribution of the daily sea-ice advance/retreat from each sensor is similar and is approximately double-exponential. Daily ice-pack statistics are presented. 相似文献