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Forecasting tropical cyclone coastal and marine hazards and impacts

Tropical Cyclone Research and Review 2024年第1期13卷 1-14页

作者： Nadao Kohno Cody Fritz Monica Sharma Robbie Berg diana greenslade Devon Telford Sakeasi Rabitu P.L.N.Murty M.Mohapatra Maria Cristina C.Uson Japan Meteorological Agency TokyoJapan National Hurricane Center MiamiUSA India Meteorological Department New DelhiIndia Bureau of Meteorology MelbourneAustralia Environment and Climate Change Canada QuebecCanada Fiji Meteorological Service NadiFiji Philipine Atmospheric Geophysical and Astronomical Services AdministrationQuezon CityPhilippines

The report highlights the signiﬁcant progress over various regions with respect to understanding of coastal hazards,numerical modeling techniques and the generation&dissemination of coastal hazard warnings and *** developments over various regions in the globe during 2014–18 have been discussed in this report as presented during 10th Session of International Workshop on Tropical Cyclones(IWTC-X)at Bali,*** speciﬁcally,various regions have started to confront the uncertainty that cannot be removed from TC analyses and forecasts and further communicate those hazards within the context of risk[probabilistic]based *** also includes impact-based forecasts such as communicating coastal inundation information relative to total water level instead of storm surge,speciﬁcally(i.e.,anomaly from as-tronomical tide and waves).Lastly,updates to model grid conﬁguration,model resolution,and coupled dynamical systems continue to resolve the costal hazards more *** approaches have likely helped reduce loss of life relative to historical ***,regions agree that the generation and dissemination of coastal hazard information still need to be improved in view of growing population along the coast and thus increased exposure of life to coastal hazard.

关键词： Coastal inundation Storm surge Probabilistic forecast

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RECENT PROGRESS IN STORM SURGE FORECASTING

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Tropical Cyclone Research and Review 2018年第2期7卷 128-139页

作者： NADAO KOHNO SHISHIR K.DUBE MIKHAIL ENTEL S.H.M.FAKHRUDDIN diana greenslade MARIE-DOMINIQUE LEROUX JAMIE RHOME NGUYEN BA THUY Japan Meteorological Agency Amity University Rajasthan Bureau of Meteorology Tonkin +Taylor International Ltd National Hurricane Center Meteo-France National Center for Hydro-Meteorological Forecasting

This report briefly summarizes recent progress in storm surge forecasts, one of topics discussed during the fourth International Workshop on Tropical Cyclone Landfall Process(IWTCLP 4) held during 5-8 December, 2017. In the workshop, improvement of storm surge forecasting system was mainly discussed with relevance to the problem of estimating the impacts of tropical cyclone *** deal with storm surges, accurate TC condition(predictions and forecasts) as input, reasonable storm surge predictions(with forecasting systems), and effective advisories/warnings(i.e. useful information products) are necessary. Therefore, we need to improve storm surge related matters systematically: input, prediction system, and ef fective *** report tries to highlight recent progress in the field of storm surges in relation to three key points: improvement in storm surge forecasting models/system, TC conditions as input for storm surge predictions, and informative products for end users.

关键词： storm surges tropical cyclone forecast system warning landfall

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Levels of rhizome endophytic fungi fluctuate in Paris polyphylla *** as plants age

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Plant Diversity 2017年第1期39卷 60-64页

作者： Tao Liu Alex greenslade ShengchaoYang Yunnan Research Center on Good Agricultural Practice for Dominant Chinese Medicinal Materials Yunnan Agricultural University Kunming 650201China Biological Chemistry and Crop Protection Rothamsted Research Harpenden UK

Paris polyphylla var. yunnanensis is an important medicinal plant with abundant saponins that are widely used in the pharmaceuticals industry. It is unclear why the levels of active ingredients increase as these plants age. We speculated that the concentrations of those components in the rhizomes are mediated by fungal endophytes. To test this hypothesis, we took both culture-dependent and-independent(metagenomics) approaches to analyze the communities of endophytic fungi that inhabit those rhizomes in plants of different age classes(four, six, and eight years old). In all, 147 isolates representing 18 fungal taxa were obtained from 270 segments(90 per age class). Based on morphological and genetic characteristics, Fusarium oxysporum(46.55% frequency of occurrence) was the predominant endophyte,followed by Leptodontidium sp.(8.66%) and Trichoderma viride(6.81%). Colonization of endophytic fungi was maximized in the eight-year-old rhizomes(33.33%) when compared with four-year-old(21.21%) and six-year-old(15.15%) rhizomes. Certain fungal species were present only at particular ages. For example,Alternaria sp., Cylindrocarpon sp., Chaetomium sp., Paraphaeosphaeria sporulosa, Pyrenochaeta sp., Penicillium swiecickii, T. viride, and Truncatella angustata were found only in the oldest plants. Analysis of(metagenomics) community DNA extracted from different-aged samples revealed that, at the class level,the majority of fungi had the highest sequence similarity to members of Sordariomycetes, followed by Eurotiomycetes and Saccharomycetes. These results were mostly in accord with those we obtained using culture methods. Fungal diversity and richness also changed over time. Our investigation is the first to show that the diversity of fungi in rhizomes of P. polyphylla var. yunnanensis is altered as plants age, and our findings provide a foundation for future examinations of useful compounds.

关键词： Medicinal plants Endophytic fungi Paris polyphylla var.yunnanensis

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多囊卵巢综合征卵巢形态学改变的MRI应用研究

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国际医学放射学杂志 2010年第4期 398-398页

作者： T.M.Barber C.Alvey T.greenslade M.Gooding D.Barber R.Smith 郭丽君 Department of Endocrinology Oxford Centre for DiabetesEndocrinology and MetabolismChurchill HospitalOld RoadHeadingtonOxfordOX3 7LJUK

目的比较女性多囊卵巢综合征(PCOS)组与对照组在MRI中卵巢形态学改变。方法所有PCOS病人(共44例)无论卵巢形态如何,均为少经或闭经并雄激素分泌过多,符合NIH/Rotterdam关于P

关键词：多囊卵巢综合征对照组卵巢形态学 PCOS MRI

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