The National Data Buoy Center (NDBC) from the National Oceanic and Atmospheric Administration (NOAA) collects data from a series of buoys around the United States. From this data collection, the question was is it possible to find Nor’easters over the ocean when they go through an area near the coast. To do this, Google Colaboratory was used—more specifically Python. This is when the location of Long Island, New York was selected to be the research target. From buoy station 44025, data from meteorological and ocean data was pulled from the archives and analyzed. The main parameters in question were wind speed and wave height. These are the two that show when big storms go through an area. From numerous graphs, it is possible to determine when a Nor’easter or other big weather events go through a region based of data collected over the ocean. This project focused in on the time between 2010 – 2020. The next big thing in question is if there is a climate aspect in this project. This will result data being pulled from the 1990 to present data. The goal of this will be to determine if there has been an increase or decrease in storm, as well as an increase or decrease in storm strength.
