Embroidered Meteorology, 2017 artist, independent
Embroidered Meteorology, Bettina L. Matzkuhn
Artizein: Arts and Teaching Journal
Weathering is a series of embroidered works that explore the symbolic and cartographic language of meteorology. Through research, mentorship and the physical work, my understanding and anxiety around weather has grown. Making art is a learning process for me: the haptic is a means for understanding. From embroidered world maps to animation to painted laundry, I conflate the intricacy of textiles with the complicated nature of the atmosphere.
Informing Responders Using Gis And Gps, 2017 Cultural Resources GIS Facility, National Park Service
Informing Responders Using Gis And Gps, Deidre Mccarthy
Hurricane Katrina devastated the Gulf Coast in August 2005 and created the single largest disaster for cultural resources that the United States has witnessed since the inception of the National Historic Preservation Act (NHPA) in 1966. Notably, the NHPA created the National Register of Historic Places, our nation’s catalog of important cultural resources. The NHPA also stipulates that any federal undertaking which may adversely affect National Register eligible resources be mitigated. For the Federal Emergency Management Agency (FEMA), Katrina created the largest compliance project ever under Section 106 of the NHPA.
Although causing a great deal of damage, Katrina ...
Physoon - Radiation Detection In Various High Altitude Environments, 2017 DePaul University
Physoon - Radiation Detection In Various High Altitude Environments, Christopher Helmerich
2017 Academic High Altitude Conference
Physoon is a high altitude ballooning payload designed and built by members of the Space Hardware Club for the purpose of comparing cosmic and terrestrial radiation from a variety of environmental conditions, including clear days, night times, solar events (eclipses, solar flares, coronal mass ejections), and thunderstorms. Over three design iterations, Physoon has flown eleven times with various combinations of Geiger counters sensors: a low energy Alpha-Beta-Gamma detector, an unshielded high-energy Beta-Gamma detector, and a shielded high-energy Beta-Gamma detector. One of these iterations successfully recovered data from high altitude during totality of the Great American Solar Eclipse. Another iteration was ...
Evaluation Of A Frost Accumulation Model, 2017 Texas Commission on Environmental Quality
Evaluation Of A Frost Accumulation Model, D. S. Knollhoff, Eugene Takle, William A. Gallus Jr., D. Burkheimer, D. Mccauley
William A. Gallus Jr.
Formation of frost on paved surfaces presents a potential hazard to the motoring public in cold climates. Temperatures of the paved surface are not measured routinely by the National Weather Service and are not part of public forecasts of winter conditions, yet highway maintenance personnel must make frost suppression and anti-icing decisions based on expectations of future paved-surface temperatures. The Road Weather Information System measures road surface, air and dew-point temperatures, road surface conditions, and wind data at numerous locations in the state of Iowa and reports the data in real-time to maintenance offices. A model based on simple concepts ...
Enhancing The Teaching And Learning Of Biometeorology In Higher Education, 2017 Old Dominion University
Enhancing The Teaching And Learning Of Biometeorology In Higher Education, David R. Perkins Iv, Jennifer Vanos, Christopher Fuhrmann, Michael Allen, David Knight, Cameron C. Lee, Angela Lees, Andrew Leung, Rebekah Lucas, Hamed Mehdipor
Political Science & Geography Faculty Publications
Information about the annual meeting organized by the organizations the International Society of Biometeorology (ISB) and the Students and New Professionals (SNP) held in Norfolk, Virginia from July 28 to August 1, 2016 is presented. The event was organized to improve the teaching methods of teachers and learning of students on high education biometeorology and the presentations, practical sessions and group discussions participated by attendees.
Data From: Observing System Simulation Experiments For An Array Of Autonomous Biogeochemical Profiling Floats In The Southern Ocean, 2017 RSMAS, University of Miami
Data From: Observing System Simulation Experiments For An Array Of Autonomous Biogeochemical Profiling Floats In The Southern Ocean, Igor Kamenkovich, Angelique Haza, Alison R. Gray, Carolina O. Dufour, Zulema Garraffo
Supplementary Data and Tools
Data in this collection is from Observation System Simulation Experiments (OSSEs) that were carried in support of the SOCCOM program. Synthetic profiles were extracted from model-simulated dissolved oxygen and inorganic carbon. Full maps were then reconstructed from these sparse datasets, using objective mapping. For description of the model and reconstruction method please see Kamenkovich, I., A. Haza, A. Gray, C. Dufour, and Z. Garraffo: "Observing System Simulation Experiments for an array of autonomous biogeochemical profiling floats in the Southern Ocean", Journal of Geophysical Research, DOI: 10.1002/2017JC012819
Effects Of Graphical Weather Information Versus Textual Weather Information On Situation Awareness In Meteorology, 2017 Embry-Riddle Aeronautical University
Effects Of Graphical Weather Information Versus Textual Weather Information On Situation Awareness In Meteorology, Stefan Melendez M.S.A., Andrew Dattel Ph.D., Christopher Herbster Ph.D., Debbie Schaum M.A., Andrey Babin
National Training Aircraft Symposium (NTAS)
Prior to a flight, pilots gather meteorological information in order to assess the weather conditions pertaining to their flight and to make decisions based on it. This information can come in various formats, such as text and graphical weather information. Research has shown that people have varying learning preferences and that most people prefer visual learning to verbal learning (i.e., graphical over text). It is hypothesized that this difference in learning preference can affect the way pilots interpret and apply the information they obtain prior to their flight. The researcher hypothesizes that graphical weather information has a greater, more ...
Synergistic Use Of Remote Sensing And Modeling To Assess An Anomalously High Chlorophyll-A Event During Summer 2015 In The South Central Red Sea, Wenzhao Li, Hesham El-Askary, K. P. Manikandan, Mohamed A. Qurban, Michael J. Garay, Olga V. Kalishnikova
Mathematics, Physics, and Computer Science Faculty Articles and Research
An anomalously high chlorophyll-a (Chl-a) event (>2 mg/m3) during June 2015 in the South Central Red Sea (17.5° to 22°N, 37° to 42°E) was observed using Moderate Resolution Imaging Spectroradiometer (MODIS) data from the Terra and Aqua satellite platforms. This differs from the low Chl-a values (<0.5 mg/m3) usually encountered over the same region during summertime. To assess this anomaly and possible causes, we used a wide range of oceanographical and meteorological datasets, including Chl-a concentrations, sea surface temperature (SST), sea surface height (SSH), mixed layer depth (MLD), ocean current velocity and aerosol optical depth (AOD) obtained from different sensors and models. Findings confirmed this anomalous behavior in the spatial domain using Hovmöller data analysis techniques, while a time series analysis addressed monthly and daily variability. Our analysis suggests that a combination of factors controlling nutrient supply contributed to the anomalous phytoplankton growth. These factors include horizontal transfer of upwelling water through eddy circulation and possible mineral fertilization from atmospheric dust deposition. Coral reefs might have provided extra nutrient supply, yet this is out of the scope of our analysis. We thought that dust deposition from a coastal dust jet event in late June, coinciding with the phytoplankton blooms in the area under investigation, might have also contributed as shown by our AOD findings. However, a lag cross correlation showed a two- month lag between strong dust outbreak and the high Chl-a anomaly. The high Chl-a concentration at the edge of the eddy emphasizes the importance of horizontal advection in fertilizing oligotrophic (nutrient poor) Red Sea waters.
Mipas Imk/Iaa Carbon Tetrachloride (Ccl4) Retrieval And First Comparison With Other Instruments, 2017 Old Dominion University
Mipas Imk/Iaa Carbon Tetrachloride (Ccl4) Retrieval And First Comparison With Other Instruments, Ellen Eckert, Thomas Von Clarmann, Alexandra Laeng, Gabriele P. Stiller, Bernd Funke, Norbert Glatthor, Udo Grabowski, Sylvia Kellmann, Michael Kiefer, Andrea Linden, Peter F. Bernath
Chemistry & Biochemistry Faculty Publications
MIPAS thermal limb emission measurements were used to derive vertically resolved profiles of carbon tetrachloride (CCl4). Level-1b data versions MIPAS/5.02 to MIPAS/5.06 were converted into volume mixing ratio profiles using the level-2 processor developed at Karlsruhe Institute of Technology (KIT) Institute of Meteorology and Climate Research (IMK) and Consejo Superior de Investigaciones Cientificas (CSIC), Instituto de Astrofisica de Andalucia (IAA). Consideration of peroxyacetyl nitrate (PAN) as an interfering species, which is jointly retrieved, and CO2 line mixing is crucial for reliable retrievals. Parts of the CO2 Q-branch region that overlap with the CCl ...
Regional Extreme Monthly Precipitation Simulated By Narccap Rcms, 2017 Iowa State University
Regional Extreme Monthly Precipitation Simulated By Narccap Rcms, William Gutowski, Raymond W. Arritt, Sho Kawazoe, David M. Flory, Eugene S. Takle, Sébastien Biner, Daniel Caya, Richard G. Jones, René Laprise, L. Ruby Leung, Linda O. Mearns, Wilfran Moufouma-Okia, Ana M. B. Nunes, Yun Qian, John O. Roads, Lisa C. Sloan, Mark A. Snyder
William J. Gutowski, Jr.
This paper analyzes the ability of the North American Regional Climate Change Assessment Program (NARCCAP) ensemble of regional climate models to simulate extreme monthly precipitation and its supporting circulation for regions of North America, comparing 18 years of simulations driven by the National Centers for Environmental Prediction (NCEP)–Department of Energy (DOE) reanalysis with observations. The analysis focuses on the wettest 10% of months during the cold half of the year (October–March), when it is assumed that resolved synoptic circulation governs precipitation. For a coastal California region where the precipitation is largely topographic, the models individually and collectively replicate ...
A Wrf Ensemble For Improved Wind Speed Forecasts At Turbine Height, 2017 Iowa State University
A Wrf Ensemble For Improved Wind Speed Forecasts At Turbine Height, Adam J. Deppe, William A. Gallus Jr., Eugene S. Takle
William A. Gallus Jr.
The Weather Research and Forecasting Model (WRF) with 10-km horizontal grid spacing was used to explore improvements in wind speed forecasts at a typical wind turbine hub height (80 m). An ensemble consisting of WRF model simulations with different planetary boundary layer (PBL) schemes showed little spread among the individual ensemble members for forecasting wind speed. A second configuration using three random perturbations of the Global Forecast System model produced more spread in the wind speed forecasts, but the ensemble mean possessed a higher mean absolute error (MAE). A third ensemble of different initialization times showed larger model spread, but ...
Storm Chasing Across The Plains: An Experience Portfolio, 2017 Western Kentucky University
Storm Chasing Across The Plains: An Experience Portfolio, Isaac Bowers
Honors College Capstone Experience/Thesis Projects
The opportunity to predict and document severe weather across the Plains is not available to many, but it is a vital experience for those who hope to truly excel in meteorology. The ability to travel alongside one of the professors that has guided you through the program, apply the knowledge gained from that professor and many others, and view nature’s breathtaking power in person is truly a capstone experience for any meteorology major. Luckily, the B.S. Meteorology Program at WKU offers a select group of students this opportunity annually. This portfolio report will consist of documentation I recorded ...
Sensitivity Of Conus Summer Rainfall To The Selection Of Cumulus Parameterization Schemes In Nu-Wrf Seasonal Simulations, Takamichi Iguchia, Wei-Kuo Tao, Di Wu, Christa D. Peters-Lidard, Joseph A. Santanello, Eric Kemp, Yudong Tian, Jonathan Case, Weile Wang, Robert Ferraro, Duane E. Waliser, Jinwon Kim, Huikyo Lee, Bin Guan, Baijun Tian, Paul C. Loikith
Geography Faculty Publications and Presentations
This study investigates the sensitivity of daily rainfall rates in regional seasonal simulations over the contiguous United States (CONUS) to different cumulus parameterization schemes. Daily rainfall fields were simulated at 24-km resolution using the NASA-Unified Weather Research and Forecasting (NU-WRF) Model for June–August 2000. Four cumulus parameterization schemes and two options for shallow cumulus components in a specific scheme were tested. The spread in the domain-mean rainfall rates across the parameterization schemes was generally consistent between the entire CONUS and most subregions. The selection of the shallow cumulus component in a specific scheme had more impact than that of ...
Precipitation Data, 2017 Kansas State University, Manhattan
Precipitation Data, M. Knapp
Kansas Agricultural Experiment Station Research Reports
Precipitation data for Kansas agricultural experiment stations, 2015-2016.
Adaptive Monte Carlo Sampling For Cloud And Microphysics Calculations, 2017 University of Wisconsin-Milwaukee
Adaptive Monte Carlo Sampling For Cloud And Microphysics Calculations, Thomas Franz-Peter Roessler
Theses and Dissertations
An important problem in large-scale modeling of the atmosphere is the parametrization of clouds and microphysics on subgrid scales. The framework Cloud Layers Unified By Binormals (CLUBB) was developed to improve the parametrization of subgrid variability. Monte Carlo sampling is used to couple the different physical processes, which improves the grid average of subgrid tendencies.
In this Thesis we develop an adaptive Monte Carlo sampling algorithm that re-uses sample points of the previous time step by re-weighting them according to the change of the underlying distribution. This process is called 'what-if sampling' and is an application of importance sampling. An ...
A Study Of Aviation Weather Hazards, 2017 Plymouth State University
A Study Of Aviation Weather Hazards, Taylor Trask, Lourdes Aviles
Student Showcase of Excellence
The aviation industry is continuously constrained by weather hazards that affect the safety of personnel on aircraft as well as the efficiency of the National Airspace System (NAS). Wind, visibility, and turbulence are among the most common weather hazards involved in aviation accidents, and air traffic delays and closures. The collaborations between the Aviation Weather Center (AWC) and Center Weather Service Units (CWSUs) are essential to creating and providing accurate forecasts pertaining to aircraft safety. This study examines weather related aviation accidents that occurred in 13 states across the northeast US and vicinity for two time periods: 2000-2001 and 2014-2015 ...
A Different Perspective On The 2016 Louisiana Flood, 2017 Meteorology
A Different Perspective On The 2016 Louisiana Flood, Brandon Mitchell
Student Showcase of Excellence
The August 2016 Louisiana Flood caused historic flooding across southern central areas of the state and was the worst natural disaster in the U.S. since Superstorm Sandy in 2012. On August 12, 2016, a Mesoscale Convective System formed along the coast of Louisiana and remained quasi-stationary across the region until August 14, 2016. The prolonged duration of heavy rainfall resulted in areas around Baton Rouge receiving over 30 inches of rain, leading to the historic flooding that lasted for two weeks. This study puts some perspective on the event by comparing similar prolonged precipitation events. Using daily precipitation totals ...
Preferred Atmospheric Patterns For Vernal And Autumnal Nocturnal Bird Migration Using The Plymouth, New Hampshire Noaa-Esrl Snow Level Radar, Andrea Larocca, Careyanne Howlett, Parker Bradley, Jesse Carlson
Student Showcase of Excellence
Radar technology can be a useful tool in tracking trends in bird migration. The NOAA-ESRL Snow Level Radar (SLR), located in Plymouth, New Hampshire, is primarily used to monitor the Bright-Band Height (BBH) of falling precipitation, or the level at which snow melts to water. Using data collected from November 2014 to November 2016, preferential atmospheric conditions over Plymouth, New Hampshire were analyzed during peak migration events for both autumn and spring migration seasons.
Spatial Thinking And Cognitive Processing In Meteorology, 2017 Western Michigan University
Spatial Thinking And Cognitive Processing In Meteorology, Peggy Mcneal
Research and Creative Activities Poster Day
Evidence suggests that spatial skills are highly malleable and that training in spatial thinking is effective, durable, and transferrable1. Understanding how meteorologists employ spatial skills in the forecasting process has implications for operational weather forecasting and meteorology education. This study began with exploratory research that identified mental animation and disembedding as key spatial skills used in weather forecasting. A follow-on pilot study tested the instruments, collected think-aloud data and found a correlation between spatial skills and forecasting. The complete study, in progress, is investigating the effect of spatial thinking, working memory and expertise on forecast task performance.
Weather Variability And The Tourism Industry: A Panel Data Analysis, 2017 Bryant University
Weather Variability And The Tourism Industry: A Panel Data Analysis, Carmela Coppola
Honors Projects in Economics
Increasing weather variability around the world has led to many researchers examining the impacts of weather variability on vulnerable industries. For example, the tourism industry can make up a large portion of an economy’s growth, with some of the most dependent countries relying on tourism for over 40% of GDP (World Travel & Tourism Council 2014). In an attempt to better understand the relationship between weather variability and the tourism industry at the country level, this study employs a series of fixed effects panel regression models to analyze the impact of rainfall and temperature on tourism levels and growth rates ...