The Hurricane Forecast Improvement Program (HFIP) is well underway and while results are beginning to show promise toward reaching its goals by 2014, there are challenges suggested by recent results. In this presentation we will briefly outline the program and its goals then report on recent ...
Attention will be given to the application of synthetic GOES imagery that focuses on the structure and intensity of tropical storms and the identification of model strengths and limitations.B.a Application of synthetic GOES imagery to the Hurricane Forecast Improvement Project ( Hurricaneshurricanes)...
作者: C. The Tropical Cyclone Modeling Testbed (TCMT) and its role in the Hurricane Forecast Improvement Project (HFIP) ( Hurricaneshurricanes) 展开 摘要: The Tropical Cyclone Modeling Testbed (TCMT) is a new entity in the Joint Numerical Testbed (JNT) at the National Center for Atmospheric ...
Hurricane Forecast Improvement Program (HFIP): Plans to transition HWRF to FV3 based system The 10-y goal of the first phase of the NOAA Hurricane Forecast Improvement Project (HFIP) was to reduce 'forecast error' by 50%. While the definition of a tropical cyclone (TC) forecast in HFIP wa...
The Hurricane-Flood-Landslide Continuum: An Integrated, End-to-end Forecast and Warning System for Mountainous Islands in the Tropics 来自 ResearchGate 喜欢 0 阅读量: 26 作者:J Golden,RG Updike,JP Verdin,MC Larsen,JA Mcginley 摘要: In the 10 days of 21-30 September 1998, Hurricane Georges ...
Urban populations are forecast to increase by 2.2 billion by 2050, and business as usual will condemn many of these new citizens to lives dominated by disaster risk. This need not be the case. Computational science can help urban planners and decision-makers to turn this threat into a time-...
The most recent strategic plan issued by the Hurricane Forecast Improvement Project (HFIP) [21] identified an updated set of comprehensive goals relating to forecast improvements, hazard guidance, and risk communication. Included in this set of goals was the desire to improve forecast guidance errors...
The official start of what is likely to be an active Atlantic hurricane season is almost here. While that introduces the threat of tropical trouble across the eastern US, the Gulf Coast states are at even higher risk to a hurricane’s deadliest threat: w
The aim of this study is to forecast PM10 concentrations using six machine learning (ML) models: support vector regression (SVR), k-nearest neighbor regression (kNN), random forest regression (RFR), gradient boosting regression (GBR), Tweedie regression (TR), and Bayesian ridge regression (BRR...
Everything you need to monitor the tropics in one place. Hurricane tracking, tropical models, and more storm coverage. Includes exclusive satellite and radar coverage of Florida, the Gulf of Mexico, and the Caribbean.