From eoas-seminar at lists.fsu.edu Fri Jun 21 13:50:18 2019 From: eoas-seminar at lists.fsu.edu (eoas-seminar at lists.fsu.edu) Date: Fri, 21 Jun 2019 17:50:18 +0000 Subject: [Eoas-seminar] Decarbonizing the Transportation Sector In-Reply-To: <74CF4BF2-0DCC-4297-8163-7436C37CB995@math.fsu.edu> References: <74CF4BF2-0DCC-4297-8163-7436C37CB995@math.fsu.edu> Message-ID: The FSU Department of Mathematics is hosting this talk July 2nd at 2pm in room 101 of the Love Building. Decarbonizing the Transportation Sector Anjaneyulu Krothapalli * Chief Technology Officer etrio Automobiles Ltd., India (etrio.in) Along with other greenhouse gases, such as nitrous oxide and methane, CO 2 is important in sustaining a habitable temperature for the planet. Since the Industrial Revolution, however, energy-driven consumption of fossil fuels has led to a rapid increase in CO 2 emissions, disrupting the global carbon cycle and leading to a planetary warming altering the climate in a disconcerting way. The transportation sector is responsible for a significant part of the CO 2 emissions and as such its mitigation has been the main impetus for Electric Vehicle (EV) resurgence and popularity. However, the current approach of using Lithium Ion battery technologies as energy storage may not be sustainable. A sustainable Electric Vehicle paradigm is proposed using hydrogen as energy storage and/or fuel for all transportation needs. The economics and efficiency of hydrogen production using renewable electricity, its distributed delivery system and utilization are discussed. A particular example presented is the Indian scenario, where circular economic ideas are more appropriate for climate change mitigation, especially in the transportation sector. -------------- next part -------------- A non-text attachment was scrubbed... Name: flyer.pdf Type: application/pdf Size: 48651 bytes Desc: flyer.pdf URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: FSU seminar abstract[2].pdf Type: application/pdf Size: 47449 bytes Desc: FSU seminar abstract[2].pdf URL: From eoas-seminar at lists.fsu.edu Tue Jun 25 13:25:00 2019 From: eoas-seminar at lists.fsu.edu (eoas-seminar at lists.fsu.edu) Date: Tue, 25 Jun 2019 17:25:00 +0000 Subject: [Eoas-seminar] Meteorology PhD Defense for Tristan Hall, Tuesday, July 9, 2019, 1:00 PM, LOV353 Message-ID: Meteorology Seminar Tristan Hall PhD Meteorology Candidate Title: A climatology of U.S. tropical cyclone rainfall, its use in a statistical forecasting technique and an analysis of Global Forecast System tropical cyclone rainfall forecast environments Major Professor: Dr. Henry Fuelberg Date: July 9th, 2019 Time: 1:00 PM Location: Werner A. Baum Seminar Room (353 Love Building) (Please join us for refreshments served outside room 353 Love @ 12:30 PM) ABSTRACT While advances in tropical cyclone (TC) track forecasting have been substantial over the past few decades, and modest advances in intensity forecasting have occurred more recently, the quality of TC rainfall forecasts has not undergone the same rigorous veri?cation. This is despite the 27% of total TC-related deaths being due to rainfall-induced ?ooding and that rainfall-related deaths occur more frequently than those due to any another weather-related hazard. A continual e?ort is needed to understand and better-forecast TC rainfall. This dissertation research seeks to contribute to this endeavor. A climatological dataset is created using 6-h Stage IV rainfall accumulations combined with Best Track 6-h locations for all TCs within 300 km of the U.S. Gulf and Atlantic coastlines during years 2004 ? 2013. Stage IV data are used due to their higher spatiotemporal resolution, their extension to high latitudes, and because they have been found to be the superior option when compared to other TC rainfall data sources. The 6-h Stage IV rainfall accumulations are composited by shear magnitude and storm intensity in earth-, motion-, and shear-relative reference frames. Additionally, a full composite comprised of all storms is created. This compositing is done for TCs impacting the U.S. Gulf and Atlantic coastlines. Seven geographical regions are created within this domain to further composite the rainfall. The geographical regions are determined based on 2004 ? 2013 Best Track (HURDAT2) landfall locations. Results show that some Stage IV rain rate characteristics, especially those in speci?c regions, are di?erent when compared to prior ?ndings based on satellite-derived rain rates. Results from the Stage IV-derived climatological datasets then are used together with track forecasts from the Global Forecast System (GFS) during years 2014 ? 2016 to create 72-h TC rainfall forecasts. Separate forecasts are created for each 6-h TC position forecast based on shear magnitude, storm intensity, and the all-storms composites in earth-, motion-, and shear-relative reference frames. This yielded 1,290 veri?able forecasts during the 3-yr period. These statistical rainfall forecasts along with forecasts from the GFS are veri?ed using the Fractions Skill Score (FSS) metric. Results show that the statistical method based on shear magnitude in a shear relative reference frame that used regional rainfall composites is the best performing of the methods. These preliminary results show that this method is a viable candidate to supplement the GFS in forecasting TC rainfall. GFS analysis and forecast environmental parameters are composited based on the skill (FSS) of each forecast. Three categories are created: Top (FSS > 0.6), Bottom (FSS < 0.3), and Middle (0.3 < FSS < 0.6). This methodology is based on the desire to provide ?guidance on guidance,? i.e., suggesting to a forecaster whether the TC?s environment is conducive to a skillful or not-skillful GFS rainfall forecast. Results show that some aspects of the mean sea level pressure, 1000 ? 500 hPa thickness anomalies, eddy ?ux convergence, and upper-level winds and divergence di?er between skillful and non-skillful TC rainfall forecasts. Shel McGuire Florida State University Academic Program Specialist Department of Earth, Ocean, & Atmospheric Science 1017 Academic Way, 410 Love Building (Meteorology) Tallahassee, FL 32306 850-644-8582 -------------- next part -------------- An HTML attachment was scrubbed... URL: From eoas-seminar at lists.fsu.edu Wed Jun 26 13:44:57 2019 From: eoas-seminar at lists.fsu.edu (eoas-seminar at lists.fsu.edu) Date: Wed, 26 Jun 2019 17:44:57 +0000 Subject: [Eoas-seminar] GFDI COLLOQUIUM ON WEDNESDAY, JULY 10th AT 11:00AM in MELVIN STERN SEMINAR ROOM, #18 KEEN BUILDING Message-ID: &&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&& & GFDI COLLOQUIUM & &&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&& Title ?Direct Numerical Simulation of a Spatially-Developing Turbulent Mixing Layer" Speaker Dr. Svetlana V. Poroseva Department of Mechanical Engineering University of New Mexico Time and Place 11:00AM, Wednesday, July 10, 2019 Melvin Stern Seminar/Reading Room 18 Keen Building Refreshments will be served at 10:30AM ABSTRACT: Understanding spatial development of a turbulent mixing layer is essential for many applications. However, multiple factors affect the physics of this flow, making it difficult to replicate experiments, either physical or numerical. Direct numerical simulation (DNS) allows for more control over the simulation inputs and is free from modeling assumptions. This makes the method attractive for studying the flow physics. However, the cost of DNS complicates such an analysis and also that of the generated data accuracy. In our study, a thorough sensitivity analysis of simulations was conducted before collecting the flow statistics. To reduce uncertainty in the simulation results, no artificial perturbations were introduced to trigger the flow transition to turbulence. Flow conditions in the simulations were based on those from the experiments by Bell & Mehta (1990), where a mixing layer was obtained from two untripped boundary layers formed on both sides of a splitter plate. The simulation domain was long enough to reach a self-similar region. Statistics were collected up to the fifth-order velocity moments. The simulations were conducted using the spectral-element code Nek5000. This study is a collaboration between the University of New Mexico, Arizona State University, and NASA Ames Research Center. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: 2019-07-10 Svetlana_Poroseva.doc Type: application/msword Size: 318976 bytes Desc: 2019-07-10 Svetlana_Poroseva.doc URL: