The characteristics of local thundersnow at ne spatiotemporal scale on 9 and 10 November 2009 in Beijing were analyzed,using wind pro ler,microwave radiometer,automatic weather station,Doppler weather radar,and satell...The characteristics of local thundersnow at ne spatiotemporal scale on 9 and 10 November 2009 in Beijing were analyzed,using wind pro ler,microwave radiometer,automatic weather station,Doppler weather radar,and satellite data.Furthermore,the causes of winter convection are discussed.The results showed that it was reflux weather.The cause of the thunder and lightning was the elevated convection above the lower cold and dry air,and the trigger for convection was the short wave trough and convergencein the middle level.This thundersnow event developed from monsoon-like long-lasting water vapor transport at 850 hPa from the South China Sea along with strong instability of,and convergence in,the conveyor layer.展开更多
An experimental field study was conducted at the University of California at Santa Cruz USA to determine if radar cross section signals were different between a person without wearing any wires and a person wearing bo...An experimental field study was conducted at the University of California at Santa Cruz USA to determine if radar cross section signals were different between a person without wearing any wires and a person wearing both a suicide vest and wires with （without） loops in the wires. The data was collected using the GunnPlexer Doppler radar at 12.5 GHz at various safe distances using various subjects both without any wires and wearing a suicide vest with detonation wires and with detonation wires and loops. The raw data was separated in its horizontal and vertical polarization signals （HH and VV）. The analysis of these two HH and VV polarization signals from the data allowed several promising metrics to be created. These metrics were individually tested in a Monte Carlo simulation which is in order to determine the probability of detection of a would-be suicide bomber. The results of the Monte Carlo simulation showed that the metrics yielded a probability of successful detection of slightly over 98% and a false positive rate of just less than 2 %. This research and its result are encouraging and suggest further testing to insure that suicide bombers can be found prior to their detonation of their bombs at a safe range.展开更多
Migrating landbirds are known to follow coast lines and concentrate on peninsulas prior to crossing water bodies, es- pecially during daylight but also at night, creating enhanced potential collision hazards with man-...Migrating landbirds are known to follow coast lines and concentrate on peninsulas prior to crossing water bodies, es- pecially during daylight but also at night, creating enhanced potential collision hazards with man-made objects. Knowing where these avian migration ＂hot-spots＂ occur in time and space is vital to improve flight safety and inform the spatial planning process （e.g. environmental assessments for offshore windfarms）. We developed a simple spatial model to identify avian migration hot- spots in coastal areas based on prevailing migration orientation and coastline features known, from visual and radar observations, to concentrate migrating landbirds around land masses. Regional scale model validation was achieved by combining nocturnal passerine movement data gathered from two tier radar coverage （long-range dual-polarization Doppler weather radar and short- range marine surveillance radar） and standardised bird ringing. Applied on a national scale, the model correctly identified the ten most important Danish coastal hot-spots for spring migrants and predicted the relative numbers of birds that concentrated at each site. These bird numbers corresponded well with historical observational data. Here, we provide a potential framework for the es- tablishment of the first three-dimensional avian airspace sanctuaries, which could contribute to more effective conservation of long-distance migratory birds [Current Zoology 60 （5）： 680-691, 2014].展开更多
基金supported by the International Partnership Program of the Chinese Academy of Sciences [grant number134111KYSB20180021]the National Natural Science Foundation of China [grant numbers 41590871 and 41475136]the International Science&Technology Cooperation Program of China [grant number 2013DFG22820]
文摘The characteristics of local thundersnow at ne spatiotemporal scale on 9 and 10 November 2009 in Beijing were analyzed,using wind pro ler,microwave radiometer,automatic weather station,Doppler weather radar,and satellite data.Furthermore,the causes of winter convection are discussed.The results showed that it was reflux weather.The cause of the thunder and lightning was the elevated convection above the lower cold and dry air,and the trigger for convection was the short wave trough and convergencein the middle level.This thundersnow event developed from monsoon-like long-lasting water vapor transport at 850 hPa from the South China Sea along with strong instability of,and convergence in,the conveyor layer.
文摘An experimental field study was conducted at the University of California at Santa Cruz USA to determine if radar cross section signals were different between a person without wearing any wires and a person wearing both a suicide vest and wires with （without） loops in the wires. The data was collected using the GunnPlexer Doppler radar at 12.5 GHz at various safe distances using various subjects both without any wires and wearing a suicide vest with detonation wires and with detonation wires and loops. The raw data was separated in its horizontal and vertical polarization signals （HH and VV）. The analysis of these two HH and VV polarization signals from the data allowed several promising metrics to be created. These metrics were individually tested in a Monte Carlo simulation which is in order to determine the probability of detection of a would-be suicide bomber. The results of the Monte Carlo simulation showed that the metrics yielded a probability of successful detection of slightly over 98% and a false positive rate of just less than 2 %. This research and its result are encouraging and suggest further testing to insure that suicide bombers can be found prior to their detonation of their bombs at a safe range.
文摘Migrating landbirds are known to follow coast lines and concentrate on peninsulas prior to crossing water bodies, es- pecially during daylight but also at night, creating enhanced potential collision hazards with man-made objects. Knowing where these avian migration ＂hot-spots＂ occur in time and space is vital to improve flight safety and inform the spatial planning process （e.g. environmental assessments for offshore windfarms）. We developed a simple spatial model to identify avian migration hot- spots in coastal areas based on prevailing migration orientation and coastline features known, from visual and radar observations, to concentrate migrating landbirds around land masses. Regional scale model validation was achieved by combining nocturnal passerine movement data gathered from two tier radar coverage （long-range dual-polarization Doppler weather radar and short- range marine surveillance radar） and standardised bird ringing. Applied on a national scale, the model correctly identified the ten most important Danish coastal hot-spots for spring migrants and predicted the relative numbers of birds that concentrated at each site. These bird numbers corresponded well with historical observational data. Here, we provide a potential framework for the es- tablishment of the first three-dimensional avian airspace sanctuaries, which could contribute to more effective conservation of long-distance migratory birds [Current Zoology 60 （5）： 680-691, 2014].
