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Precipitation Data, M. Knapp 2017 Kansas State University, Manhattan

Precipitation Data, M. Knapp

Kansas Agricultural Experiment Station Research Reports

Precipitation data for Kansas agricultural experiment stations, 2015-2016.


A Study Of Aviation Weather Hazards, Taylor Trask, Lourdes Aviles 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, Brandon Mitchell 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 2017 Applied Meteorology

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.


Annual Summary Of Weather Data For Parsons, M. Knapp 2017 Kansas State University, Manhattan

Annual Summary Of Weather Data For Parsons, M. Knapp

Kansas Agricultural Experiment Station Research Reports

Annual Summary of Weather Data for Parsons, Kansas, 2016.


Spatial Thinking And Cognitive Processing In Meteorology, Peggy McNeal 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.


Cirrus Cloud Microphysics Over Darwin, Australia, Dorothea Ivanova, Matthew Johnson 2017 Embry-Riddle Aeronautical University

Cirrus Cloud Microphysics Over Darwin, Australia, Dorothea Ivanova, Matthew Johnson

Publications

Ice clouds, crucial to the understanding of both short - and long - term climate trends, are poorly represented in global climate models (GCMs). Cirrus clouds, one of the largest uncertainties in the global radiation budget, have been inadequately studied at low latitudes. Parameterizations exist for mid - latitude and tropical cirrus ( Ivanova et al. 2001; McFarquhar et al. 1997). Due to climate sensitivity in the GCM with respect to cloud input, without robust parameterizations of cirrus clouds, the GCM is inaccurate over most output fields, including radiative forcing, temperature, albedo, and heat flux (Yao and Del Genio 1999).

Studies of the microphysical ...


Weather Variability And The Tourism Industry: A Panel Data Analysis, Carmela Coppola 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 ...


Latitudinal Position And Trends Of The Intertropical Convergence Zone (Itcz) And Its Relationship With Upwelling In The Southern Caribbean Sea And Global Climate Indices, Kaitlyn E. Colna 2017 University of South Florida

Latitudinal Position And Trends Of The Intertropical Convergence Zone (Itcz) And Its Relationship With Upwelling In The Southern Caribbean Sea And Global Climate Indices, Kaitlyn E. Colna

Graduate Theses and Dissertations

The Intertropical Convergence Zone (ITCZ) is a feature that results from the ocean-atmosphere interactions in the tropics around the world. The ITCZ is characterized by surface wind convergence, tall storm clouds, and it forms a belt of high time-averaged precipitation around the globe. The ITCZ undergoes seasonal migrations between 5°S and 15°N roughly following the subsolar point on Earth with the seasons, with a mean annual position located slightly above the Equator, between 2° and 5°N.

This study tested the hypothesis that there was a northward shift in the median position of the ITCZ in the first ...


P16. Ralmo Rotational Raman Temperature Retrieval: First Steps Towards The Application Of Optimal Estimation Method (Oem), Shayamila N. Mahagammulla Gamage, Robert Sica, Alexander Haefele 2017 Department of Physics and Astronomy, The University of Western Ontario, London, Canada

P16. Ralmo Rotational Raman Temperature Retrieval: First Steps Towards The Application Of Optimal Estimation Method (Oem), Shayamila N. Mahagammulla Gamage, Robert Sica, Alexander Haefele

Western Research Forum

Background:

Temperature is an important atmospheric parameter that plays an extensive role in the fields of atmospheric dynamics, climatology, meteorology, and chemistry. Light detection and ranging (lidar), is a remote sensing technology that can be used for atmospheric temperature profiling. A lidar transmits short laser pulses into the atmosphere and the light scattered by the particles in the atmosphere is collected and measured using a telescope. The atmospheric temperatures can be retrieved by analysing the Pure Rotational Raman (PRR) scatter measurements from the nitrogen and oxygen molecules in the atmosphere.

Methods:

In this study use the Optimal Estimation Method (OEM ...


Wet-Weather Issues Relating To Scn, Gregory L. Tylka 2017 Iowa State University

Wet-Weather Issues Relating To Scn, Gregory L. Tylka

Gregory Tylka

In the June 29 issue of the ICM newsletter, XB Yang discussed the effects of the wet 1998 growing season on fungal soybean diseases. Growers and agribusiness also should be aware of two issues concerning the soybean cyst nematode (SCN) and the wet weather that we have experienced so far this growing season. First, SCN is moved by anything that moves soil. Consequently, any field or area of a field that has flooded may have had the nematode introduced into the field. Random survey results from 1995-1996 indicate that approximately two-thirds of the corn-soybean fields in Iowa are infested with ...


On The Propagation Of Atmospheric Gravity Waves In A Non-Uniform Wind Field: Introducing A Modified Acoustic-Gravity Wave Equation, Ahmad Talaei 2016 Utah State University

On The Propagation Of Atmospheric Gravity Waves In A Non-Uniform Wind Field: Introducing A Modified Acoustic-Gravity Wave Equation, Ahmad Talaei

All Graduate Plan B and other Reports

Atmospheric gravity waves play fundamental roles in a broad-range of dynamical processes extending throughout the Earth’s neutral atmosphere and ionosphere. In this paper, we present a modified form for the acoustic-gravity wave equation and its dispersion relationships for a compressible and non-stationary atmosphere in hydrostatic balance. Importantly, the solutions have been achieved without the use of the well-known Boussinesq approximation which have been used extensively in previous studies.

We utilize the complete set of governing equations for a compressible atmosphere with non-uniform airflows to determine an equation for vertical velocity of possible atmospheric waves. This intricate wave equation is ...


Parameterizing A Water-Balance Model For Predicting Stormwater Runoff From Green Roofs, Olyssa Starry, John Lea-Cox, Andrew Ristvey, Steven Cohan 2016 Portland State Uinversity

Parameterizing A Water-Balance Model For Predicting Stormwater Runoff From Green Roofs, Olyssa Starry, John Lea-Cox, Andrew Ristvey, Steven Cohan

University Honors College Faculty Publication and Presentations

Crop coefficients (kc) were calculated for three different species of common green roof succulents from March to November in 2011, to parameterize the Food and Agricultural Organization of the United Nations (FAO) Penman-Monteith equation for use in a mechanistic green roof water-balance model. Seasonally averaged kc values for each species for 2011 were used to predict plant evapotranspiration (ET) in 2012. The adjusted FAO Penman-Monteith equation predicted the total annual ET within 3–13 mm, a substantial improvement over model predictions with kc set to 1, which overpredicted ET by 100 mm or more, depending on the species. The adjusted ...


Analysis Of A Sharp Gradient Snow Event In The Upper Midwest, Samuel L. Gabrielli 2016 Iowa State University

Analysis Of A Sharp Gradient Snow Event In The Upper Midwest, Samuel L. Gabrielli

Meteorology Senior Theses

In this study, the 23-24 March 2016 snow event across west central Wisconsin, south central Minnesota, tapering off into northwest Iowa and extreme southeast South Dakota was analyzed to better understand sharp gradient snow events. The focus of this study was to understand why this snow event occurred and what contributed to the sharp contrast in snow accumulations in such a densely populated area of the Minneapolis/St. Paul region. Analyses confirm that the warm, moist air from the south and east at low levels combined with the cold, dry air from the north and west at the upper levels ...


A Qualitative Analysis Of Public Compliance To Severe Weather And Tornado Warnings, Jan M. Ryherd 2016 Iowa State University

A Qualitative Analysis Of Public Compliance To Severe Weather And Tornado Warnings, Jan M. Ryherd

Meteorology Senior Theses

Society as a whole is becoming more immersed in the age of technology and people are taking severe weather sheltering decisions into their own hands more than ever before. People are going through a complex process when a warning is received, a process that is still not well understood by scientists. In this study, an online survey was used to evaluate various parameters including basic demographics, weather knowledge and experience, and thought-processes during severe weather, to help gain an understanding of this social process and make better connections between why some people choose to seek shelter and why others do ...


Exploring The Accuracy Of The North American Mesoscale Model During Low-Level Jet Influenced Convection In Iowa, Nickolas V. Lesser 2016 Iowa State University

Exploring The Accuracy Of The North American Mesoscale Model During Low-Level Jet Influenced Convection In Iowa, Nickolas V. Lesser

Meteorology Senior Theses

This study analyzed low-level jet (LLJ) influenced overnight convection cases over Iowa. There are two main regimes for LLJ development over the Great Plains. One is when there is an upper-level trough in the western United States, while the other is dominated by an upper-level anticyclone. The forecasts of the twelve kilometer North American Mesoscale model (NAM) were analyzed for accuracy in both regimes and overall. The variables examined were the LLJ peak magnitude, timing, location, and total rainfall produced in Iowa from 0000UTC-1200UTC the day of an event. Although weak underforecasting was found regarding the magnitude of the LLJ ...


Multi-Radar Multi-Sensor Vs Single Radar Severe Weather Observations, Garrett W. Starr 2016 Iowa State University

Multi-Radar Multi-Sensor Vs Single Radar Severe Weather Observations, Garrett W. Starr

Meteorology Senior Theses

Multi-Radar Multi-Sensor (MRMS) is a fairly new technology when considering how long storm systems have been analyzed by using radio detection and ranging (radar) processes. Unlike what most meteorologists use today, a MRMS system uses data from many surrounding radars along with information from sources such as rain gauges, surface observations, upper level observations, and more. This new system provides many new products for meteorologists to utilize when analyzing severe weather events, for example, tornadic storm cells. Often times when new technology like MRMS is presented, it provides many products not available on any other system; but exactly how useful ...


Rainfall Estimation From X-Band Polarimetric Radar And Disdrometer Observation Measurements Compared To Nexrad Measurements: An Application Of Rainfall Estimates, Brady E. Newkirk 2016 Iowa State University

Rainfall Estimation From X-Band Polarimetric Radar And Disdrometer Observation Measurements Compared To Nexrad Measurements: An Application Of Rainfall Estimates, Brady E. Newkirk

Meteorology Senior Theses

This paper presents the comparison of rainfall estimation from X-band dual-polarization radar observations and NEXRAD observations to that of rain gauge observations. Data collected from three separate studies are used for X-band and rain gauge observations. NEXRAD observations were collected through the NCEI archived data base. Focus on the Kdp parameter for X-band radars was important for higher accuracy of rainfall estimations. The Unidata IDV was used to evaluate the rainfall estimates of NEXRAD observations. The rainfall estimation models were then evaluated versus gauge data using significance testing. It is shown that the Xband radar has a lower p-value thus ...


An Analysis Of The Evolution Of Physical Processes Producing Daily Widespread Precipitation Extremes In Alaska Using Six Cmip5 Gcms, William Rickhoff 2016 Iowa State University

An Analysis Of The Evolution Of Physical Processes Producing Daily Widespread Precipitation Extremes In Alaska Using Six Cmip5 Gcms, William Rickhoff

Meteorology Senior Theses

The Arctic climate system is warming faster than in any other part of the world due to anthropogenic processes. Products of a warming climate, such as thawing permafrost, flooding, and increases in precipitation can have a negative impact on the Arctic region. In this study, we compared contemporary and future climates over Alaska using six Global Climate Models (GCMs) from the Coupled Model Intercomparison Project (CMIP5) in order to analyze the evolution of physical processes that produce widespread extreme precipitation events in December, January, and February (DJF). We defined a widespread extreme precipitation event as those at or above the ...


Effects Of Ice Crystal Fall Speed On The Simulations Of Convective Cloud Systems, Justin A. Covert 2016 Iowa State University

Effects Of Ice Crystal Fall Speed On The Simulations Of Convective Cloud Systems, Justin A. Covert

Meteorology Senior Theses

Cloud resolving models are considered one of the best tools that can simulate cloud systems and their growth over time. Within cloud systems, there are many different parameters involving moisture and ice that can have major effects on the overall system. Thus the ice crystal fall speed, is analyzed to see how it affects the cloud system. We hypothesize that cloud systems will increase in size and grow deeper when ice crystal fall speeds are slower, and inversely that cloud systems will decrease in size and become more shallow when ice crystal fall speeds are faster. Observed large-scale forcing was ...


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