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163results about "Atmospheric potential difference measurement" patented technology

System and method for recording, transmitting and analyzing data and information accrued from electromagnetic radiation

In order to further develop a system (100) and a method for recording, transmitting and analyzing data and information (D and D*, resp.) accrued from, in particular low-frequency, electromagnetic radiation, where the electromagnetic radiation originates from at least one impulse source of natural and/or artificial origin, in particular from at least one atmospheric discharge (P) or from at least one transmitter (K), such that a precise characterization of the impulse source, for example a reliable differentiation between cloud-ground lightning (C[loud]G[round]) and cloud-cloud lightning (=I[ntra]C[loud] within a cloud, or C[loud-]C[loud] between clouds) is provided for, it is proposed to localize the altitude (H) of the impulse source, in particular the emission altitude or the broadcast altitude, and/or the directionality (C), in particular the spatial direction path, of the impulse emission or impulse broadcast caused by the impulse source,
by determining the difference between the arrival time of the signal (S) at the measuring station (20) located closest to the impulse source and the arrival time of the signal (S*) at at least one, preferably at least two, measuring stations (20*) which are not located closest to said impulse source.
Owner:NOWCAST

All-in-view lightning event observation system and method

The invention relates to an all-in-view lightning event observation system and an all-in-view lightning event observation method. The system may comprise a shooting device, a tank body, a temperature control device, a light shading device, a control module, a power module, a sensor, a data acquisition device, a global positioning system (GPS) antenna, a GPS time service module and a processing unit, wherein the shooting device can shoot an all-in-view digital image and directly transmit the all-in-view digital image to the processing unit; and the processing unit continuously acquire corona current by the data acquisition device, judges whether an observed range has thunderstorms or not, starts the light shading device to enter a lightning channel image shooting mode if the observed rangehas the thunderstorms, and stops the light shading device after the observation is finished to protect the shooting device when the observed range does not have the thunderstorms. The system simultaneously records the GPS time of a lightning event and the waveform information of corona current change produced by the lightning event, judges a lightning type and the polarity of cloud-to-ground lightning, can realize the automatic light shading of the shooting device and automatic control over the working environment temperature of the shooting device in the thunderstorms, and also can work in afield environment stably and reliably for long.
Owner:CHINESE ACAD OF METEOROLOGICAL SCI

Lightning intensity value predicting method based on atmospheric electric field data

The invention discloses a lightning intensity value predicting method based on atmospheric electric field data, which is applied to the field of lightning early warning. The disclosed lightning intensity value predicting method is used for converting original one-dimensional atmospheric electric field data into a two-dimensional image representation through extracting depth features of the atmospheric electric field data, mining depth feature information of the image, establishing a relationship model of the atmospheric electric field data and a lightning intensity value by combining with a non-linear regression analysis method, and predicting the lightning intensity value. According to the lightning intensity value predicting method, various kinds of detection data is used for performinglightning early warning, i.e., the atmospheric electric field data and lightning data; the one-dimensional atmospheric electric field data is converted into the two-dimensional image representation byadopting a dimension conversion method, so as to enhance the structure representation of the atmospheric electric field data; the depth feature information of the atmospheric electric field data is extracted by using a depth model; and the lightning intensity value is predicted by using the atmospheric electric field data, thereby filling a gap of low utilization of the atmospheric electric fielddata in other predicting methods and a gap of lightning intensity value prediction.
Owner:BEIJING UNIV OF TECH
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