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Yang Lang, Lifeng Luo, Aizhong Ye and Qingyun Duan
Seasonal forecasts from dynamical models are expected to be useful for drought predictions in many regions. This study investigated the usefulness of the Climate Forecast System version 2 (CFSv2) in improving meteorological drought prediction in China ba...
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Cassia Akemi Castro Kuki,Glauber William de Souza Ferreira,Michelle Simões Reboita
Como a previsão climática sazonal é de grande importância para vários setores da sociedade (agricultura, geração de energia, turismo etc.), esse estudo tem como objetivo apresentar a performance de dois modelos climáticos globais em prever o clima sazona...
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Hong-Li Ren and Pengfei Ren
The impact of Madden?Julian oscillation (MJO) upon extreme rainfall in southern China was studied using the Real-time Multivariate MJO (RMM) index and daily precipitation data from high-resolution stations in China. The probability-distribution function ...
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Shih-Chun Hsiao, Hongey Chen, Han-Lun Wu, Wei-Bo Chen, Chih-Hsin Chang, Wen-Dar Guo, Yung-Ming Chen and Lee-Yaw Lin
Super Typhoon Nepartak (2016) was used for this case study because it is the most intense typhoon that made landfall in Taiwan in the past decade. Winds extracted from the Climate Forecast System version 2 (CFSV2) and ERA5 datasets and merged with a para...
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Shih-Chun Hsiao, Han-Lun Wu and Wei-Bo Chen
Three typhoons, Meranti, Malakas, and Megi, occurred successively in eastern Taiwanese waters in September 2016, causing extreme waves (significant wave height > 10.0 m), and these events were selected to investigate the effect of model grid resolution a...
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Yuting Zhang, Qiyan Ji, Minghong Xie, You Wu and Yilun Tian
The study used the SCHISM ocean model combined with the WWM III wind wave model to quantify the interaction between wind waves and tides in the coastal zone of the Changjiang River Estuary and its adjacent areas. The wave and storm surge during Typhoon A...
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Minxue He, Brett Whitin, Robert Hartman, Arthur Henkel, Peter Fickenschers, Scott Staggs, Andy Morin, Michael Imgarten, Alan Haynes and Mitchel Russo
This study verifies the skill and reliability of ensemble water supply forecasts issued by an innovative operational Hydrologic Ensemble Forecast Service (HEFS) of the U.S. National Weather Service (NWS) at eight Sierra Nevada watersheds in the State of ...
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Hannah Aizenman, Michael D. Grossberg, Nir Y. Krakauer and Irina Gladkova
Ensembles of general circulation model (GCM) integrations yield predictions for meteorological conditions in future months. Such predictions have implicit uncertainty resulting from model structure, parameter uncertainty, and fundamental randomness in th...
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Zhehao Yang, Weizeng Shao, Yuyi Hu, Qiyan Ji, Huan Li and Wei Zhou
Marine oil spills occur suddenly and pose a serious threat to ecosystems in coastal waters. Oil spills continuously affect the ocean environment for years. In this study, the oil spill caused by the accident of the Sanchi ship (2018) in the East China Se...
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Wagner Costa, Déborah Idier, Jérémy Rohmer, Melisa Menendez and Paula Camus
Increasing our capacity to predict extreme storm surges is one of the key issues in terms of coastal flood risk prevention and adaptation. Dynamically forecasting storm surges is computationally expensive. Here, we focus on an alternative data-driven app...
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Zhehao Yang, Weizeng Shao, Yang Ding, Jian Shi and Qiyan Ji
In this study, the numerical wave model Simulating Waves Nearshore (SWAN), which resolves nearshore wave processes, and a hydrodynamic model, the Finite-Volume Community Ocean Model (FVCOM), were coupled to simulate waves and currents during Typhoon Fung...
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Paola do Nascimento Silva,Bruno César Capucin,Bruna Andrelina Silva,Michelle Simões Reboita
O verão de 2019 (dez/18 e jan-fev/2019) foi um período anômalo. Em dezembro, várias estações meteorológicas no Sudeste do Brasil registraram temperaturas muito abaixo da climatologia como, por exemplo, a cidade de Itajubá, em que a temperatura mínima che...
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