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Increasing the value of weather-related warnings 被引量:2
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作者 Qinghong Zhang Liye Li +11 位作者 Beth Ebert Brian Golding David Johnston Brian Mills Shannon Panchuk Sally Potter Michael Riemer Juanzhen Sun Andrea Taylor Sarah Jones Paolo Ruti Julia Keller 《Science Bulletin》 SCIE EI CAS CSCD 2019年第10期647-649,共3页
Despite advances in forecasting and emergency preparedness, weather related disasters continue to cost many lives, to displace populations and to cause wide-spread damage. Therefore, High Impact Weather Project (HIWea... Despite advances in forecasting and emergency preparedness, weather related disasters continue to cost many lives, to displace populations and to cause wide-spread damage. Therefore, High Impact Weather Project (HIWeather), a 10-year research project (https://public.wmo.int/en/resources/buHetin/hiweather-10-yearresearch- project), was established in 2016 by WM0 (World Meteorology Organization) WWRP (World Weather Research Program: https://www.wmo.int/pages/prog/arep/wwrp/new/wwrp_new_en. html). HIWeather aimed at achieving dramatic improvements in the effectiveness of weather-related hazard warnings, following recent advancement in numerical weather prediction at km-scale and in disaster risk reduction. The implementation plan was developed under the concept of warning chain, which comprises all components and the connections between to a successful weather-hazards warning: observations, weather forecast, hazard forecast, impact forecast, the generation of warnings and decision making (Fig. 1). A successful warning relies on information produced by the meteorological and related physical sciences, thus its effectiveness of delivery depends on applications of social, behavioral and economic sciences. The workshop of WM0 High Impact Weather Project was held in Beijing during 20-22 November of 2018, attracted a diverse and interdisciplinary group of over 70 scientists from 25 countries in the broad field of physical and social science, during which all elements of the warning chain were discussed critically. 展开更多
关键词 Despite advances forecasting and EMERGENCY WEATHER RELATED DISASTERS
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Science and prediction of monsoon heavy rainfall 被引量:6
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作者 Yali Luo Liye Li +10 位作者 Richard HJohnson Chih-Pei Chang Lianshou Chen Wai-Kin Wong Jing Chen Kalli Furtado John LMcBride Ajit Tyagi Nanette Lomarda Thierry Lefort Esperanza O.Cayanan 《Science Bulletin》 SCIE EI CAS CSCD 2019年第21期1557-1561,共5页
With the increasing incidence of heavy rainfall events,particularly over the monsoon regions,the highly dense populations are more vulnerable[1].Research initiatives on observation,modeling,and prediction of monsoon h... With the increasing incidence of heavy rainfall events,particularly over the monsoon regions,the highly dense populations are more vulnerable[1].Research initiatives on observation,modeling,and prediction of monsoon heavy rainfall have been promoted actively by World Weather Research Programme's(WWRP)Working Group on Tropical Meteorology Research(WGTMR)of the World Meteorological Organization(WMO)since 2010.Series of monsoon-heavy-rainfall workshops were held in Beijing(2011),Petaling Jaya(2012),and New Delhi(2015)to benefit scientists worldwide and forecasters from the National Meteorological and Hydrological Services.An international Research and Development Project,namely,the Southern China Monsoon Rainfall Experiment(SCMREX)[2]was established in 2013 to coordinate field campaign experiments and to conduct scientific research on presummer(April-June)heavy rainfall processes in southern China. 展开更多
关键词 China. RAINFALL MONSOON
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