HRD Monthly Science Meeting of July 2021

July's science meeting consisted of five presentations: Sophie Grimsley (Lapenta Intern): "Project Check-in: Hurricane Intensity Change and Boundary Layer Processes" Nick Mesa (Lapenta Intern): "Investigating Intensity Changes Related to Thermodynamic Processes Using Near-coincident Aircraft and Satellite Observations" Laura Ko: "A Consensus Machine Learning Model for Hurricane RI Probabilistic Predictions" Sim Aberson: "Including High-Resolution AMVs in … Continue reading HRD Monthly Science Meeting of July 2021

Storymap: Improvements in Forecasting Weather, Floods, and Hurricanes: Overview Report on Supplemental Program FY18

The storymap includes work on the Hurricane Analysis and Forecasting System (HAFS), a set of moving, high-resolution nests around tropical cyclones in the global weather model, and the AOML Hurricane Model Viewer. View there storymap at https://storymaps.arcgis.com/stories/17d9393d307449a3a46fa3aa6dd5e258. For more information, contact aoml.communications@noaa.gov. Credits: The Supplemental Program Team is managed by the NOAA Line Offices of: … Continue reading Storymap: Improvements in Forecasting Weather, Floods, and Hurricanes: Overview Report on Supplemental Program FY18

HRD Monthly Science Meeting of June 2021

June's science meeting consisted of six presentations: Nick Mesa (HRD): “Investigating intensity changes related to thermodynamic processes using near-coincident aircraft and satellite observations” Sophie Grimsley (HRD): “Hurricane Intensity Change and Boundary Layer Processes” Chris Landsea (NHC): "Was 2020 a Record-Breaking Hurricane Season?  Yes, but… (Why did the new average number of Named Storms go up … Continue reading HRD Monthly Science Meeting of June 2021

Mu-Chieh Ko presents an Introduction to Machine Learning for Environmental Science

Machine Learning (ML) has become one of the most innovative methods to solve problems related to "big data." in In environmental science, ML can be used as a prediction model, parameterization method, or model enhancement tool. This introduction included fundamentals of ML algorithms, including k-Nearest Neighbors, Random Forest, and Artificial Neural Networks, and their applications … Continue reading Mu-Chieh Ko presents an Introduction to Machine Learning for Environmental Science

Frank Marks presents seminar on a new model to predict rainfall in tropical cyclones to NOAA’s Weather Prediction Center

Abstract: Heavy precipitation is a major hazard in landfalling tropical cyclones (TCs). Historically, heavy rainfall has caused freshwater floods and mudslides during TC landfalls, accounting for 27% of deaths, and devastating property. Hence, improving current TC rainfall forecasts is indispensable. A new TC rainfall model is described that provides five-day probabilistic forecasts of extreme rainfall … Continue reading Frank Marks presents seminar on a new model to predict rainfall in tropical cyclones to NOAA’s Weather Prediction Center

Jun Zhang participates in 2nd Boundary Layer Workshop

The 2nd Boundary Layer Workshop was held virtually on 1-2 June. The goal of the workshop is to continue the work from the previous one to improve our understanding and modeling of surface and atmospheric boundary layer processes. The event was organized by Tilden Meyers of NOAA's Air Resource's Laboratory and David Turner of NOAA's … Continue reading Jun Zhang participates in 2nd Boundary Layer Workshop

HRD kicks off 2021 Hurricane Field Program

Scientists from AOML and other agencies participating in NOAA's 2021 Hurricane Field Program's Advancing the Prediction of Hurricanes Experiment (APHEX) met on 26 May to kick off the season. APHEX was developed in partnership with NOAA’s Environmental Modeling Center, National Hurricane Center, Aircraft Operations Center, and AOML’s Physical Oceanography Division. It is intended to improve … Continue reading HRD kicks off 2021 Hurricane Field Program

HRD scientists participate in the 34th American Meteorological Society Conference on Hurricanes and Tropical Meteorology

34th Conference on Hurricanes and Tropical Meteorology Virtual Meeting The 34th AMS Conference on Hurricanes and Tropical Meteorology was held virtually 10-14 May after being postponed from 2020. This is the premiere meeting for operational and research scientists who work on understanding and forecasting tropical cyclones and other tropical weather around the world. HRD scientist … Continue reading HRD scientists participate in the 34th American Meteorological Society Conference on Hurricanes and Tropical Meteorology