The model calibration results are summarized in Figure 3. The modeled volumes are compared with monitored volumes for all the 67 events at PSW45 and results are shown in the top plot in Figure 3. The slope of linear regression between modeled and monitored volume is about 0.9 with R square error equal to 0.9 as well, indicating a good fit of modeled results to monitored results from a volume point of view. In addition, only 3 events out of 67 events (4.4%) are in the outlier of 95% prediction interval, which is another indicator for a good fit. Modeled peak flow and modeled time to peak results are also compared with the monitored results at PSW45, shown in Figure 3 respectively. For the peak flow comparison, 4 events out of 67 events (6.0%) are in the outlier of 95% prediction interval, and for the time to peak comparison, only 2 events out of 67 events (3.0%) are in the outlier of 95% prediction interval, both indicating a good fit of modeled results to monitored results. The cumulative frequency distribution (CFD) of modeled volume is compared with that of monitored volume and results are shown in the bottom plot in Figure 3. There is a 3% difference between the total modeled volume and the total monitored volume throughout the entire period from 11/10/2011 to 12/31/2012, which once more shows a good fit for all small, median, and large storm events through the entire monitoring period. After calibration, the baseline model is properly set up and ready to model the impact
As storm relative velocity helps analyze the motion of the winds within the storm, information like the rotation of the storm and the speed of the winds can help investigate the chances of the storm developing into a tornado. If the storm appears to be a threat, nearby communities can be notified to take precautions and leave if necessary. Although base velocity can be used for the same reason, the speed of the storm can affect the results of the speed and rotation of winds. Therefore, storm relative velocity is more accurate and reliable than base velocity in determining the threat of a
If you look at storm 2 and storm 3’s temperatures before the storm, it’s a drastic difference. Storm 2 was 81 degrees fahrenheit and storm 3 was 104 degrees fahrenheit. Storm 2 had only 5 inches of rain, while storm 3 had 8 inches of rain. Based on temperature being one of the only variables, I concluded that warmer weather caused Galetown to have more severe storms.
Natural disasters occurring from the climate change could be on the rise. Global warming has been rumored to be causing more hurricanes, typhoons, cyclones, heavier monsoonal rains that cause major flooding, mud slides, and other disasters worldwide. A tropical cyclone, also referred to as hurricanes, typhoons, or cyclones, depending on where in the world the cyclone is occurring, are one of the world’s grandest shows of energy provided by nature. Hurricanes are large, swirling, low pressure storms that have sustained winds of over 74 miles an hour and are formed over warm ocean waters (NASA, n.d.). The purpose of this paper is to discuss hurricanes
To achieve a good volumetric technique, the experimenter needs to be able to correctly complete certain procedures.
The NOAA’s long term plan is to engage in six major areas. The first being continue in conduct experiments for understanding the natural process of weather. Second is to build models to predict the effects and outcomes that may affect the world. Third and Fourth are coherent being use new observing technology for data to feed the models, and develop new forecasting tools for improving weather services. To share information to public, federal, and academic partners, and to prepare scientific assessments to enhance the public's knowledge and to inform if any governmental actions need to happen.(Goldman)
In all of the models and predictions of future hurricane activity examined, the influence of rainpower on hurricane intensity was never mentioned or considered. Although the ways in which rain might affect future hurricane intensity are not well understood and there have been very few studies conducted on the subject, it is a factor that should be considered in future models and forecasts for the future of hurricane intensity because of its large influence on hurricane intensity.
The three factors that caused Galetown to have more severe rainstrorms this summer than in previous years are stronger winds, higher temperature and the new lake. First of all, stronger winds push the air parcels (An amount of air that moves as a unit) higher up in the troposphere. The higher the air parcel is in the troposphere, the colder it is. This will cause a greater energy transfer from the parcel to the surrounding air allowing them to become the same temperature and having condensation occurs. This will soon fall out as rain. In the chart, it tells us that in storms 3 and 4 that all factors are the same before the storm such as the surface water (high) and the temperatures are close enough to not make a significant difference. But the wind
The Saco-Casco Bays, in the southern Maine are susceptible to coastal inundation due to the influence of winter storms. High-resolution storm surge modeling based on Finite Volume Coastal Ocean Model has been setup for the Saco-Casco Bays for conducting ensemble hindcast simulation of winter storm Juno. The model is one-way nested with the Northeast Coastal Ocean Forecast System (NECOFS) and driven by high resolution NECOFS/WRF and moderate resolution NAM WRF to understand the impact of wind speed and direction on predicting the surge. The low-pressure system causes a maximum surge of 0.662m at Portland on 27th Jan 2015 at 9:00 GMT. The model simulated coastal currents are more than 0.8 m/s is able to depict strong eddy formed at the mouth
The purpose of this experiment is to use and calibrate a spectroscope, measure the emission spectrum of various gases, and measure the emission spectrum of various metal salts. From the emission spectrum of mercury, a calibration graph can be produced and this graph should be precise because the wavelengths of other unknowns can be found. If the calibration graph is skewed, than the wavelengths will be incorrect.
Researchers believe that these Increasing tornado outbreaks are being caused by climate change. They believe it is climate change because have seen changes in the Meteorological quantities. This has to do with the atmospheric phenomena and weather of a region. Although they saw these change they found that these trends are increasing fastest for the most extremum outbreaks. Modelling studies have projected that CAPE will increase in a warmer clime lead to more frequent environs favorable to severe electrical storm in the U.S. However, they found that the meteorological course was not due to increasing CAPE but instead due to trends in storm congenator helicity, which has not been projected to increase under clime change.
QLCSs are organized lines of convection that commonly occur over portions of the United States (Trapp et al. 2005), and can produce all forms of severe weather, including hail, strong straight-line winds, and occasionally can spawn tornadoes (Smith et al. 2012). Trapp et al. (2005) found that about 18% of all tornadoes in the US are associated with QLCSs. The development of the QLCS is dependent upon the storm produced cold pool and the environmental shear. As the line of storms propagates, rain-cooled air descends from the downdraft to the surface and spreads
The Emergency Events Database (EED) shows that the frequency of hydrological natural disasters has more than quadrupled since 1970 (Figure 1) and category 5 storm likelihood is said to double for every degree Celsius increase in global temperature (Lopez et al, 2015). However,
Ahead of and during the season, several meteorological services and scientific agencies forecast how many named storms, hurricanes and major hurricanes will form during a season and/or how many tropical cyclones will affect a particular country. These agencies include the Tropical Storm Risk (TSR) Consortium of the University College London, the National Oceanic and Atmospheric Administration (NOAA), United Kingdom Met Office (UKMO), Coastal Carolina University (CCU), Colorado State University (CSU), and North Carolina State University (NCSU). The forecasts include weekly and monthly changes in significant factors that help determine the number of tropical storms, hurricanes, and major hurricanes within a particular year. Some of these forecasts also take into consideration what happened in previous seasons and the predicted weakening of the 2014–16 El Niño event.[2] On average, an Atlantic hurricane season between 1981 and 2010 contained twelve tropical storms, six hurricanes, and two major hurricanes, with an
Modern tornado predicting for the past hundred years has been haphazard at best. The National Weather Service has invested a great sum of money into research, but the results have been sporadic. Although tornado fatalities have declined by 93% from 1925 data, the tornado warning time still does not prevent all fatalities (Brotzge and Donner, 1715). Weather patterns change rapidly during a severe weather outbreak, but meteorologists look for common indicators of tornadic activity. Relying on Doppler radar and other weather
Hurricanes, cyclones and typhoons play a major role in coastal disasters and could prove even more disastrous with the effects of climate change. Hurricanes form as warm moist air begins to rise over the sea surface and leaves a gap of low pressure underneath. High pressure air then fills this gap, heats up, and then rises again. This creates the cyclonic action (“How Hurricanes Form”, 2017). These types of events require a minimum sea surface temperature of 26.5 degrees Celsius, or roughly 80 degrees Fahrenheit and a depth of at least 60m (Michener et al, 1997) and as the temperature increases globally as does the possible effect on hurricanes.