Meteorology Commons^™

The Impact Of Hurricane Katrina On The Environmental Security Of The Us Gulf Coast Region And Beyond, John Lanicci, James Ramsay

John M Lanicci

No abstract provided.

Distributions Of Ice Supersaturation And Ice Crystals From Airborne Observations In Relation To Upper Tropospheric Dynamical Boundaries, Minghui Diao, Jorgen Jensen, Laura Pan, Cameron Homeyer, Shawn Honomichl, James Bresch, Aaron Bansemer, Eric Jensen

Faculty Publications, Meteorology and Climate Science

Cirrus clouds are one of the largest sources of uncertainties in predicting future climate. Ice nucleation and ice crystal growth inside cirrus clouds require ice supersaturation (ISS). Previously, remote sensing observations have shown that the locations of cirrus clouds’ cloud top height are highly correlated with the thermal tropopause height (Pan and Munchak, 2011). However, it is unclear if the initial conditions of cirrus clouds – ice supersaturated region (ISSRs) – have similar features in the extratropical upper troposphere and lower stratosphere (UT/LS). In fact, the dynamical processes and conditions that contribute to ISS formation from the microscale (~100 m) …

A Trend Analysis Of Aerosol Related Parameters And Their Relation To Precipitation Variability In Arizona, Krista Rasmussen, Hesham El-Askary

Student Scholar Symposium Abstracts and Posters

The Objective of our research was to investigate if there is a correlation between haboob outbreaks, resulting in large dust storms over Arizona, and the precipitation patterns over the region. We examined the extent of this correlation over the last ten years using satellite daily observations to highlight the possibility of better forecasts for precipitation events, such as monsoon thunderstorms. Our research indicates that haboobs increase precipitation in the Sonoran desert of Arizona because the dust particles are large enough to act as cloud condensation nuclei (CCN). Data was collected from five locations spread out over the state of Arizona …

Long Term Ground Based Precipitation Data Analysis: Spatial And Temporal Variability, Luciano Rodriguez, Cyril S. Rakovski, Hesham El-Askary, Mohamed Allali

Student Scholar Symposium Abstracts and Posters

California is an area of diverse topography and has what many scientists call a Mediterranean climate. Various precipitation patterns exist due to El Niño Southern Oscillation (ENSO) which can cause abnormal precipitation or droughts. As temperature increases mainly due to the increase of CO2 in the atmosphere, it is rapidly changing the climate of not only California but the world. An increase in temperature is leading to droughts in certain areas as other areas are experiencing heavy rainfall/flooding. Droughts in return are providing a foundation for fires harming the ecosystem and nearby population. Various natural hazards can be induced due …

Ensemble Prediction And Data Assimilation For Operational Hydrology, Dong-Jun Seo, Yuqiong Liu, Hamid Moradkhani, Albrecht Weerts

Civil and Environmental Engineering Faculty Publications and Presentations

This special section in the Journal of Hydrology will discuss the need for advancing hydrologic ensemble prediction and DA.

Sfa Weather Station-December 2014, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University

Weather Station Data

No abstract provided.

Umphlett Qci Dec 2014, Natalie A. Umphlett

HPRCC Personnel Publications

Highlights for the Basin

Temperature and Precipitation Anomalies

Drought Conditions

Agriculture

Horticulture

Recreation and Tourism

3-Month Precipitation and Temperature Outlooks

Soil Moisture Conditions

Optimal Ranking Regime Analysis Of Intra- To Multidecadal U.S. Climate Variability. Part I: Temperature, Eugene C. Cordero, Steven A. Mauget

Eugene C. Cordero

The optimal ranking regime (ORR) method was used to identify intradecadal to multidecadal (IMD) time windows containing significant ranking sequences in U.S. climate division temperature data. The simplicity of the ORR procedure’s output—a time series’ most significant nonoverlapping periods of high or low rankings—makes it possible to graphically identify common temporal breakpoints and spatial patterns of IMD variability in the analyses of 102 climate division temperature series. This approach is also applied to annual Atlantic multidecadal oscillation (AMO) and Pacific decadal oscillation (PDO) climate indices, a Northern Hemisphere annual temperature (NHT) series, and divisional annual and seasonal temperature data during …

Optimal Ranking Regime Analysis Of Intra- To Multidecadal U.S. Climate Variability. Part Ii: Precipitation And Streamflow, Steven A. Mauget, Eugene C. Cordero

Eugene C. Cordero

In Part I of this paper, the optimal ranking regime (ORR) method was used to identify intradecadal to multidecadal (IMD) regimes in U.S. climate division temperature data during 1896–2012. Here, the method is used to test for annual and seasonal precipitation regimes during that same period. Water-year mean streamflow rankings at 125 U.S. Hydro-Climatic Data Network gauge stations are also evaluated during 1939–2011. The precipitation and streamflow regimes identified are compared with ORR-derived regimes in the Pacific decadal oscillation (PDO), the Atlantic multidecadal oscillation (AMO), and indices derived from gridded SST anomaly (SSTA) analysis data. Using a graphic display approach …

Optimal Ranking Regime Analysis Of Intra- To Multidecadal U.S. Climate Variability. Part I: Temperature, Eugene C. Cordero, Steven A. Mauget

Faculty Publications, Meteorology and Climate Science

The optimal ranking regime (ORR) method was used to identify intradecadal to multidecadal (IMD) time windows containing significant ranking sequences in U.S. climate division temperature data. The simplicity of the ORR procedure’s output—a time series’ most significant nonoverlapping periods of high or low rankings—makes it possible to graphically identify common temporal breakpoints and spatial patterns of IMD variability in the analyses of 102 climate division temperature series. This approach is also applied to annual Atlantic multidecadal oscillation (AMO) and Pacific decadal oscillation (PDO) climate indices, a Northern Hemisphere annual temperature (NHT) series, and divisional annual and seasonal temperature data during …

Optimal Ranking Regime Analysis Of Intra- To Multidecadal U.S. Climate Variability. Part Ii: Precipitation And Streamflow, Steven A. Mauget, Eugene C. Cordero

Faculty Publications, Meteorology and Climate Science

In Part I of this paper, the optimal ranking regime (ORR) method was used to identify intradecadal to multidecadal (IMD) regimes in U.S. climate division temperature data during 1896–2012. Here, the method is used to test for annual and seasonal precipitation regimes during that same period. Water-year mean streamflow rankings at 125 U.S. Hydro-Climatic Data Network gauge stations are also evaluated during 1939–2011. The precipitation and streamflow regimes identified are compared with ORR-derived regimes in the Pacific decadal oscillation (PDO), the Atlantic multidecadal oscillation (AMO), and indices derived from gridded SST anomaly (SSTA) analysis data. Using a graphic display approach …

Cloud Impacts On Pavement Temperature And Shortwave Radiation, Curtis L. Walker

Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research

Forecast systems provide decision support for end-users ranging from the solar energy industry to municipalities concerned with road safety. Pavement temperature is an important variable when considering vehicle response to various weather conditions. A complex, yet direct relationship exists between tire and pavement temperatures. Literature has shown that as tire temperature increases, friction decreases which affects vehicle performance. Many forecast systems suffer from inaccurate radiation forecasts resulting in part from the inability to model different types of clouds and their influence on radiation. This research focuses on forecast improvement by determining how cloud type impacts pavement temperature and the amount …

Evaluating The Surface Layer Wind Profile In The Wrf, Robert Stephen James

Theses and Dissertations

The purpose of this thesis is to investigate how the surface vertical wind profile responds to different planetary boundary layer schemes in computer models. Local surface roughness is one of the elements represented in these schemes, and is used when interpolating winds down from the lowest model level to the surface, so this needs to be accurately represented in the model. Computer models rely on one bulk estimate of surface roughness for a given grid point, despite the complexity of surrounding terrain. Data for this research was gathered from local surface observations and computer simulations, which looked at two different …

A Hazard Assessment And Proposed Risk Index For Art, Architecture, Archive And Artifact Protection: Case Studies For Assorted International Museums, Clara Jeanene Kirk

Graduate Theses and Dissertations

This study proposes a hazard/risk index for environmental, technological, and social hazards that may threaten a museum or other place of cultural storage and accession. This index can be utilized and implemented to measure the risk at the locations of these storage facilities in relationship to their geologic, geographic, environmental, and social settings. A model case study of the 1966 flood of the Arno River and its impact on the city of Florence and the Uffizi Gallery was used as the index focus. From this focus an additional eleven museums and their related risk were assessed. Each index addressed a …

Weather Research Requirements To Improve Space Launch From Cape Canaveral Air Force Station And Nasa Kennedy Space Center, William P. Roeder, Lisa L. Huddleston, William H. Bauman Iii, Kelly B. Doser

Space Traffic Management Conference

Weather has a large affect on operations at Cape Canaveral Air Force Station (CCAFS) and NASA Kennedy Space Center (KSC). Weather is the leading source of scrubs and delays to space launch from CCAFS/KSC. Weather has an even larger impact on ground processing as space launch vehicles and payloads are prepared in the months before space launch. Many of those operations are very sensitive to weather. In addition, the weather in Florida is notoriously difficult to predict, especially during the summer when rapid deep convection can occur in minutes. Finally, the weather can be extremely subtle in this area during …

Challenges Associated With Space Weather Analysis And Prediction, John Lanicci

Space Traffic Management Conference

The term “space weather” is typically used to describe environmental conditions in the region extending from the sun’s surface, through the interplanetary medium, to the earth’s magnetic field and upper atmosphere, with a focus on those conditions that can affect the earth, its technological systems, and population. Space weather conditions are monitored continuously by a number of agencies around the world. These agencies use both satellite- and ground-based measurements to build analyses and employ predictive models that form the basis for impacts-based products dealing with myriad users in satellite operations, the utility industry, aviation, and satellite-based communications, to name a …

Challenges Associated With Space Weather Analysis And Prediction, John Lanicci

John M Lanicci

The term “space weather” is typically used to describe environmental conditions in the region extending from the sun’s surface, through the interplanetary medium, to the earth’s magnetic field and upper atmosphere, with a focus on those conditions that can affect the earth, its technological systems, and population. Space weather conditions are monitored continuously by a number of agencies around the world. These agencies use both satellite- and ground-based measurements to build analyses and employ predictive models that form the basis for impacts-based products dealing with myriad users in satellite operations, the utility industry, aviation, and satellite-based communications, to name a …

Sfa Weather Station-November 2014, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University

Weather Station Data

No abstract provided.

Assessing A Social And Tornado Vulnerability Index (Stvi) Based On Analysis Of Long Term Historical Tornado Events, Vikalp Mishra, Whitney Cosby

Von Braun Symposium Student Posters

No abstract provided.

Using Geographic Information Systems To Assess Tornado Sirens In Madison County, Rebecca E. Kollmeyer

Von Braun Symposium Student Posters

No abstract provided.

Spatial And Temporal Characteristics Of Polarimetric Tornadic Debris Signatures, Matthew S. Van Den Broeke, Sabrina T. Jauernic

Department of Earth and Atmospheric Sciences: Faculty Publications

Nonmeteorological scatter, including debris lofted by tornadoes, may be detected using the polarimetric radar variables. For the 17 months from January 2012 to May 2013, radar data were examined for each tornado reported in the domain of an operational polarimetric Weather Surveillance Radar-1988 Doppler (WSR-88D). Characteristics of the tornadic debris signature (TDS) were recorded when a signature was present. Approximately 16% of all tornadoes reported in Storm Data were associated with a debris signature, and this proportion is shown to vary regionally. Signatures were more frequently seen with tornadoes that were rated higher on the enhanced Fujita (EF) scale, with …

Sfa Weather Station-October 2014, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University

Weather Station Data

No abstract provided.

Droughtscape- Fall 2014, Kelly Smith

Droughtscape, Quarterly Newsletter of NDMC, 2007-

CONTENTS

Director’s report...........................1

Upcoming events.........................3

Drought & climate summary ........ 4

Drought impacts .........................6

Drought planning in Brazil ........10

Ethiopian workshop ................... 12

Visiting scholar .........................13

Help for South Plains ranchers.........13

Wind River tribal workshop...........14

Inter Tribal Buffalo Council ............ 15

South Dakota ranch workshops............ 16

Sfa Weather Station-September 2014, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University

Weather Station Data

No abstract provided.

Umphlett Qci Sept 2014, Natalie Umphlett

HPRCC Personnel Publications

Highlights for the Basin

Temperature and Precipitation Anomalies

􏰞􏰥􏰬􏰨􏰤􏰵􏰶􏰫Streamflow

Long-term Impacts of Drought

Cool, Wet Summer Benefits

Heavy Precipitation Impacts the Missouri River and its Tributaries

3-Month Precipitation and Temperature Outlooks

Soil Moisture Conditions

Effects Of Mid- And Upper-Level Dry Layers On Microphysics Of Simulated Supercell Storms, Matthew S. Van Den Broeke

Department of Earth and Atmospheric Sciences: Faculty Publications

Conceptual differences are presented among supercell storms simulated with midlevel and deep dry layers of varying magnitude. Initial patterns are identified which should be studied more comprehensively using observed or simulated data. These initial results indicate that mixing ratios of small ice particles are most sensitive to the depth of a dry layer rather than to its magnitude, with fewer particles in simulations containing a deep dry layer. Hail from frozen drops may be most abundant when a deep layer is dried, and bursts of hail species reaching low levels may be followed 15–20 min later by an increase in …

Risk Assessment Of Navigation Safety In The Water Area Of Bohai, Bingcong Dai

Maritime Safety & Environment Management Dissertations (Dalian)

No abstract provided.

Improved Storm Data Processing Through Parallel Computing Approaches, Shauna Smith

Journal of Undergraduate Research at Minnesota State University, Mankato

A previous research study conducted at Michigan Technological University by Dr. Deborah Nykanen and her colleague Dr. Daniel Harris analyzed storm data in order to develop algorithms that will allow coarse resolution rainfall forecasted by weather models to be optimally used in high resolution hydrology models with the goal of improving stream flow predictions and early detection algorithms that can be used to warn communities about potential flash floods. This research was performed by analyzing a series of independent radar images derived from Weather Surveillance Radar-1988 Doppler (WSR-88D) data obtained from Dr. James A. Smith at Princeton University using a …

Automated Image Interpretation For Science Autonomy In Robotic Planetary Exploration, Raymond Francis

Electronic Thesis and Dissertation Repository

Advances in the capabilities of robotic planetary exploration missions have increased the wealth of scientific data they produce, presenting challenges for mission science and operations imposed by the limits of interplanetary radio communications. These data budget pressures can be relieved by increased robotic autonomy, both for onboard operations tasks and for decision- making in response to science data.

This thesis presents new techniques in automated image interpretation for natural scenes of relevance to planetary science and exploration, and elaborates autonomy scenarios under which they could be used to extend the reach and performance of exploration missions on planetary surfaces.

Two …

Verification And Analysis Of Impact-Based Tornado Warnings In The Central Region Of The National Weather Service, Holly B. Obermeier

Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research

Tornado warnings are one of the most critical products issued by the National Weather Service (NWS), and favorable verification statistics are desirable. The 2011 NWS statistics for traditional tornado warnings indicate that the probability of detection (POD) is 70%, while the false alarm rate (FAR) is 76%. The recent Joplin, Missouri EF5 tornado event on 22 May 2011, which resulted in massive devastation and loss of life, prompted the NWS to re-evaluate the current tornado warning format. After the Joplin, MO event, the Central Region of the NWS implemented the impact-based tornado warning (IBTW) experiment in 2013. IBTWs consist of …