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Progress of the marine meteorological observation technologies
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Science & Technology Review | 2019, 37(6) : 91 - 97
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Science & Technology Review | 2019, 37(6): 91-97
• Reviews •
Progress of the marine meteorological observation technologies
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CHEN Hongbin1, LI Jun1, MA Shuqing2, HU Shuzhen2
Affiliations
    1. CAS Key Laboratory for Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Beijing 100029, China;
    2. Atmospheric Observation Center, China Meteorology Administration, Beijing 100080, China
Published: 2019-03-28 doi: 10.3981/j.issn.1000-7857.2019.06.012
Outline
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High impact weathers, such as torrential rain and strong wind associated with typhoons, heavy fog and severe convection occur frequently not only in the big island area but also in the economically developed coastal regions. Each year a lot of disasters including property and even life loss are caused by these severe weathers. Collection of marine weather data in real-time is essential to improving the model prediction and thus weather services in the marine and coastal areas. To this end, a variation of marine meteorological observation techniques (including satellite remote sensing, aircraft observation, buoy network, island-based stations and coastal weather radars) is required and has been developed. An overview on these techniques is presented and followed with some outlooks.
marine meteorology  /  observation technique  /  unmanned vehicle measurement  /  atmospheric environment
陈洪滨, 李军, 马舒庆, 胡树贞. 海洋气象观测技术研发进展. 科技导报, 2019 , 37 (6) : 91 -97 . DOI: 10.3981/j.issn.1000-7857.2019.06.012
CHEN Hongbin, LI Jun, MA Shuqing, HU Shuzhen. Progress of the marine meteorological observation technologies[J]. Science & Technology Review, 2019 , 37 (6) : 91 -97 . DOI: 10.3981/j.issn.1000-7857.2019.06.012
Year 2019 volume 37 Issue 6
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Article Info
doi: 10.3981/j.issn.1000-7857.2019.06.012
  • Receive Date:2018-08-28
  • Online Date:2019-04-09
  • Published:2019-03-28
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  • Received:2018-08-28
  • Revised:2018-12-12
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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