5 resultados para Satellite television

em CUNY Academic Works


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Several students are shown working in a section of the Television Laboratory at the New York Trade School. Black and white photograph with some damage due to writing in red ink along the long edges.

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A student is show working with closed-circuit television at the New York Trade School. Black and white photograph.

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One of a series of photographs accompanying a press release by the New York Trade School announcing the development and demonstration of a new technique in closed-circuit TV. Student Dennis Mahoney serves as one of the cameramen as William C. H. Meyers of the Automotive Department performs the demonstration. Black and white photograph.

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This is a photograph showing Nicholas Colon, Jr. a New York Trade School, Advanced Television Techniques graduate with an unnamed worker at his Tele-FM Television company. Original caption reads, "Nicholas Colon, Jr. - Advanced Television Techniques 1954, operates and up-to-date and successful television service shop. He is on the executive board of CETA (Certified Electronic Technicians Association). He prefers to employ graduate technicians of the New York Trade School Advanced Television Techniques course." Black and white photograph with caption glued to reverse.

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Jakarta is vulnerable to flooding mainly caused by prolonged and heavy rainfall and thus a robust hydrological modeling is called for. A good quality of spatial precipitation data is therefore desired so that a good hydrological model could be achieved. Two types of rainfall sources are available: satellite and gauge station observations. At-site rainfall is considered to be a reliable and accurate source of rainfall. However, the limited number of stations makes the spatial interpolation not very much appealing. On the other hand, the gridded rainfall nowadays has high spatial resolution and improved accuracy, but still, relatively less accurate than its counterpart. To achieve a better precipitation data set, the study proposes cokriging method, a blending algorithm, to yield the blended satellite-gauge gridded rainfall at approximately 10-km resolution. The Global Satellite Mapping of Precipitation (GSMaP, 0.1⁰×0.1⁰) and daily rainfall observations from gauge stations are used. The blended product is compared with satellite data by cross-validation method. The newly-yield blended product is then utilized to re-calibrate the hydrological model. Several scenarios are simulated by the hydrological models calibrated by gauge observations alone and blended product. The performance of two calibrated hydrological models is then assessed and compared based on simulated and observed runoff.