Learn about the new William M. Lapenta Laboratory for the Hurricane and Ocean Testbed, the new Hurricane Analysis and Forecast System, the impact of Uncrewed Aerial Systems on hurricane forecasts, and more... The newsletter is available here.
This study uses a state-of-the-art hurricane modeling system developed at the NOAA/Atlantic Oceanographic and Meteorological Laboratory’s Hurricane Research Division, the Basin-Scale Hurricane Weather Research and Forecast (HWRF-B) model, to demonstrate a link between an oceanographic process called coastal downwelling and the intensification of tropical cyclones (TCs or hurricanes) near landfall. We show that coastal downwelling … Continue reading New study on how changes in ocean temperature near the coast during landfall can intensify hurricanes released online in Geophysical Research Letters
You can read the article at https://eos.org/features/an-unprecedented-view-inside-a-hurricane Fore more information, contact firstname.lastname@example.org.
Autonomous underwater gliders and uncrewed surface vehicles such as saildrones are revolutionizing both our understanding of and ability to forecast hurricane track and intensity. These observing systems are becoming critical components of operational forecasting systems in the United States. Extreme weather (short-wing) Saildrone and its measurement capabilities (https://www.saildrone.com/news/what-is-saildrone-how-work). Read the article at https://tos.org/oceanography/article/uncrewed-ocean-gliders-and-saildrones-support-hurricane-forecasting-and-research For more … Continue reading Paper describing ocean gliders and saildrones for hurricane observations published in Oceanography
The intensity of most tropical cyclones around the world are estimated by using satellite images. This study designed and evaluated convolutional neural network (CNN) models for estimating tropical cyclone intensity using geostationary satellite images. The selection of infrared channels was found to significantly affect the performance of these models. This work pointed out the best … Continue reading Study on using neural networks to estimate tropical cyclone intensity using satellite imagery published in IEEE Transactions on Geoscience and Remote Sensing
For more information, contact aoml.communications@noaa.,gov. The full paper can be found at https://journals.ametsoc.org/view/journals/phoc/aop/JPO-D-21-0164.1/JPO-D-21-0164.1.xml. This work was supported by the National Natural Science Foundation of China (41806028, 41830533, 41606024); the National Basic Research Program of China, Monitoring and Forecasting of Finescale Structure and Impact Assessment of Landfalling Typhoons (2015CB452800) and the Construction Project of the National … Continue reading Study on how ocean surface waves influence the part of the atmosphere closest to the surface published in The Journal of Physical Oceanography
Recap of the 2021 hurricane season, recent research results on wind shear direction and intensity change, Saildrones, and other news on HRD employees. Check it out here. For more information, contact email@example.com.
We modified the way NOAA’s new hurricane model forecasts what happens in the lowest part of the atmosphere based on observations from Hurricane Hunter research flights. The new scheme produced track forecasts that were up to 20% better than from the older scheme, a 15% improvement in detection of rapid intensification events, and smaller tropical … Continue reading Study on improvements to NOAA’s hurricane forecast model and the way it predicts the region closest to the surface published in Weather and Forecasting
The American Geophysical Union is holding their annual Fall Meeting 13-17 December in New Orleans, and also online. Every year, the Fall Meeting unites >25,000 attendees from 100+ countries in the Earth and space sciences community to discuss findings, connect scientists from around the world, advance the profession and connect over passion for the impact … Continue reading HRD scientists participate in the American Geophysical Union Fall Meeting 2021
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