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Shanghai:1km grid point forecast

来源:China Meteorological News Press   发布时间:2017年08月22日12:49
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From segmented forecast in Shanghai World Expo in 2010 to refined forecast at 6-hour interval, Shanghai meteorological departments have continuously upgraded refined weather forecast and services. They have narrowed each grid point spatial resolution to 1km×1km. Besides, it can also achieve refined weather prediction of future 0-2 hour at 6-minute interval.

On July 5, 2017, hail struck Shanghai. Grid forecast could be narrowed down to Pudong-Chuansha-Disney land where the hail emerged, providing accurate and effective data support for hail weather prediction.

Global ocean wave 0 hour forecast(0.5*0.5).

In terms of rail transit, the first rail transit in Shanghai spans 36.9 kilometers. It has 28 stations. Currently, the 1-kilometer grid has enabled “one grid for one station”.

Smart grid forecast is made on the strength of Numerical Weather Prediction (NWP), further uplifting prediction capabilities. Thanks to integration of multiple technologies and optimized NWP model, on June 20, 2017, Shanghai meteorological service has finally realized the transition from serial data-prediction-service to concurrent NWP plus smart grid prediction.

Shanghai meteorological departments have organized smart grid forecast technical working group which is composed of 5 technical working groups in terms of NWP interpretation, monitoring and warning, and systemic development. The working group and shanghai municipal meteorological service sci-tech innovation team has established communicative mechanism of ritual meeting.

National meteorological departments can upload, share and derive high resolution NWP model products via NWP terminal. By means of analysis and interpretation, they have generated brand-new grid prediction products. In the future, before disastrous weather comes along, a radar map can be automatically identified and matched on grid forecast cloud. AI can be leveraged to learn and predict the changing rules of disastrous weather.

Ediotr Liu Shuqiao

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