Physical Sciences and Mathematics Commons^™

Conductivity, Temperature And Depth (Ctd) Data For Deepend Stations, Cruise Dp04, August 2016, David English, Chuanmin Hu, April Cook, Tracey Sutton

DEEPEND Datasets

Conductivity, temperature and depth data from the ship's CTD, which was deployed at each of the DEEPEND stations. Depth of cast was variable, but extended from near-surface waters to below the euphotic zone. This data was used in the assessment of the water column's vertical structure, and for comparison with physical models. Data were collected on cruise DP04 in August, 2016.

Gis Data: 2016 Chesapeake Bay Sav Coverage, Virginia Institute Of Marine Science, Sav Data Administrator

Data

Abstract: The 2015 Chesapeake Bay SAV Coverage was mapped from digital multispectral imagery with a 25cm GSD to assess water quality in the Bay. Each area of SAV was interpreted from the rectified imagry and classified into one of four density classes by the percentage of cover. The SAV beds were entered into an SDE GIS fetaure class using the quality control procedures documented below. The dataset contains all SAV areas that were identified from the areas flown. Some areas that are presumed to contain no SAV were not flown. Some small beds, particularly along narrow tributaries may not have …

Understanding Patterns In Chesapeake Bay Water Clarity: The Importance Of Measurement, Location, And Physical Versus Biological Controls, Carl T. Friedrichs

Presentations

No abstract provided.

Catch The King Tide 2017 Data: Hampton, Virginia, Jon Derek Loftis

Data

"Catch the King" was a citizen science GPS data collection effort centered in Hampton Roads, VA, that sought to map the King Tide's maximum inundation extents with the goal of validating and improving predictive models for future forecasting of increasingly pervasive "nuisance" flooding. GPS data points were collected by volunteers to effectively breadcrumb/trace the high water line by pressing the 'Save Data' button in the Sea Level Rise App every few steps along the water's edge during the high tide on the morning of Nov. 5th, 2017. Response from the event's dedicated volunteers, fueled by the local media partners' coverage …

Catch The King Tide 2017 Data: Portsmouth, Virginia, Jon Derek Loftis

Data

"Catch the King" was a citizen science GPS data collection effort centered in Hampton Roads, VA, that sought to map the King Tide's maximum inundation extents with the goal of validating and improving predictive models for future forecasting of increasingly pervasive "nuisance" flooding. GPS data points were collected by volunteers to effectively breadcrumb/trace the high water line by pressing the 'Save Data' button in the Sea Level Rise App every few steps along the water's edge during the high tide on the morning of Nov. 5th, 2017. Response from the event's dedicated volunteers, fueled by the local media partners' coverage …

Catch The King Tide 2017 Data: Suffolk, Virginia, Jon Derek Loftis

Data

"Catch the King" was a citizen science GPS data collection effort centered in Hampton Roads, VA, that sought to map the King Tide's maximum inundation extents with the goal of validating and improving predictive models for future forecasting of increasingly pervasive "nuisance" flooding. GPS data points were collected by volunteers to effectively breadcrumb/trace the high water line by pressing the 'Save Data' button in the Sea Level Rise App every few steps along the water's edge during the high tide on the morning of Nov. 5th, 2017. Response from the event's dedicated volunteers, fueled by the local media partners' coverage …

Catch The King Tide 2017: All King Tide Data, Jon Derek Loftis

Data

"Catch the King" was a citizen science GPS data collection effort centered in Hampton Roads, VA, that sought to map the King Tide's maximum inundation extents with the goal of validating and improving predictive models for future forecasting of increasingly pervasive "nuisance" flooding. GPS data points were collected by volunteers to effectively breadcrumb/trace the high water line by pressing the 'Save Data' button in the Sea Level Rise App every few steps along the water's edge during the high tide on the morning of Nov. 5th, 2017. Response from the event's dedicated volunteers, fueled by the local media partners' coverage …

Gis Data: Chesterfield County And Cities Of Colonial Heights, Petersburg, And Richmond Shoreline Inventory Report, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie Bradshaw, Karen Duhring, Kallie Brown, Jessica Hendricks, David Weiss, Carl Hershner

Data

The 2017 Inventory for Chesterfield County and the Cities of Colonial Heights, Petersburg, and Richmond was generated using on-screen, digitizing techniques in ArcGIS® -ArcMap v10.4.1while viewing conditions observed in Bing high resolution oblique imagery, Google Earth, and2013imagery from the Virginia Base Mapping Program (VBMP).Four GIS shapefiles are developed. The first describes land use and bank conditions (Chesterfield_lubc_2017). The second portrays the presence of beaches (Chesterfield_beaches_2017). The third reports shoreline structures that are described as arcs or lines(e.g. riprap)(Chesterfield_sstru_2017). The final shapefile includes all structures that are represented as points (e.g. piers)(Chesterfield_astru_2017).The metadata file accompanies the shapefiles and defines attribute accuracy, …

Fractal Floc Properties In The Surface Waters Of A Partially-Mixed Estuary: Insights From Video Settling, Lisst, And Pump Sampling, Kelsey Fall, Carl T. Friedrichs, Grace M. Massey, David Bowers

Presentations

This study focuses on observations collected along the York River Estuary, major tidal tributary of the Chesapeake Bay, USA. Although microtidal in terms of tidal range, the partially-mixed York River Estuary experiences near-surface tidal currents of up to 1 m/s at spring tide (Friedrichs, 2009). Observations of particle properties were collected using a profiling system that includes a Laser InSitu Scattering and Transmissometry (LISST) 100X Type C instrument, a high-definition Particle Imaging Camera System (PICS) incorporating a video settling tube, and a high-speed pump sampler. At each sampling station, the profiler was lowered to a depth of 1-3m below the …

Evidence Of Muddy Aggregates As Resilient Pellets In Suspension Throughout The Water Column Using Traps And A Particle Image Camera System (Pics) In A Tidal Estuary, Grace Massey, Kelsey Fall, Carl Friedrichs, S. Jarrell Smith

Presentations

Biogenic pelletization plays an important roll in the packaging of fine sediments to prevent their availability in contributing to the water clarity issues in coastal systems. On the order of 1000 5µm equivalent spherical diameter clay flocculi primary particles can be packaged in a single elliptical-inshape pellet, 100µm long and 30µm wide. This is a size consistent of those observed in our study area in the Clay Bank Area of the York River, a tributary of the Chesapeake Bay, Virginia, USA. If resuspended, this one pellet will have almost 25 times less surface area and thus have that much less …

Fractal Floc Properties In Estuarine Surface Waters: Insights From Video Settling, Lisst, And Pump Sampling, Kelsey Fall, Carl Friedrichs, Grace Massey, David Bowers

Presentations

The goal of this study is to gain insight into the fractal properties of flocs in estuarine surface waters under conditions of variable floc size, density, concentration, and organic content. The properties of flocculated particles in estuarine surface waters are especially important to the fate of incident light, with direct ramifications for primary production, water quality, and optical remote sensing. Observations of particle properties were collected using a profiling system that includes a Laser In-Situ Scattering and Transmissometry (LISST) 100X Type C instrument, a high-definition Particle Imaging Camera System (PICS) incorporating a video settling tube, and a high-speed pump sampler. …

Water Clarity Patterns And Trends In The Open-Water Regions Of Chesapeake Bay And Its Tidal Tributaries, Carl T. Friedrichs

Presentations

No abstract provided.

Inventory Of Gulf Of Mexico Oceanic Fauna Data Including Species, Weight, And Measurements From R/V Point Sur (Cruises Dp03 And Dp04) May-August, 2016, April Cook, Tracey Sutton

DEEPEND Datasets

This data set includes the biological and environmental data for all of the species collected during the DP03 (May 2016) and DP04 cruises (August 2016). The main gear type used was a 10-m2 Multiple Opening Closing Net and Environmental Sensing System (MOCNESS). The MOCNESS was fitted with 6 nets which were opened according to the following depth scheme: net 0 from the surface to 1500m, net 1 from 1500-1200m, net 2 from 200-1000m, net 3 from 1000-600m, net 4 from 600-200m, and net 5 from 200m to the surface. Two trawls were conducted at each station sampled to capture diel …

Stac Review Panel For The Generalized Additive Model (Gam) Approach For Water Quality Trends In Tidal Waters, Carl T. Friedrichs

Presentations

No abstract provided.

Fluxes Of Methane, Non-Methane Hydrocarbons And Carbon Dioxide From Natural Gas Well Pad Soils In Eastern Utah, Seth Lyman

Browse all Datasets

We measured fluxes of methane, non-methane hydrocarbons, and carbon dioxide from natural gas well pad soils and from nearby undisturbed soils in eastern Utah. Methane fluxes varied from less than zero to more than 38,000 mg m-2 h-1. Fluxes from well pad soils were almost always greater than from undisturbed soils. Fluxes were greater from locations with higher concentrations of total combustible gas in soil and were inversely correlated with distance from well heads. Several lines of evidence show that the majority of emission fluxes (about 70%) were due to subsurface sources of raw gas that migrated to the atmosphere, …

Parameterized Process Models For Underwater Munitions Expert System, Carl Friedrichs

Presentations

No abstract provided.

Flocculation And Bed Consolidation In A Partially Mixed Estuary: An Idealized Numerical Sediment Transport Model, Courtney Harris, D. Tarpley, Carl Friedrichs, C. Sherwood

Presentations

Particle settling velocity and bed erodibility impact the transport of suspended sediment to the first order, but are especially difficult to parameterize for the muds that often dominate estuarine sediments. For example, fine grained silts and clays typically form loosely bound aggregates (flocs) whose settling velocity can vary widely. Properties of flocculated sediment such as settling velocity and particle density are difficult to prescribe because they change in response to several factors, including salinity, suspended sediment concentration, turbulent mixing, organic content, and mineral composition. Additionally, mud consolidates after deposition, so that its erodibility changes over timescales of days to weeks …

Stable Isotopes In Atmospheric Water Vapour From Mauna Loa, Hawaii, 2016-2017, Joseph Galewsky

Earth and Planetary Sciences Faculty and Staff Publications

The isotopic composition of atmospheric water vapor (1H216O, H218O, and 1H2H16O) was continuously measured at the National Oceanic and Atmospheric Administration (NOAA) Mauna Loa Observatory (MLO) from April 8, 2016 through March 13, 2017 using Off-Axis Integrated Cavity Output Spectroscopy (OA-ICOS). The dataset has been carefully corrected for humidity-dependent biases and calibrated against the international VSMOW-SLAP scale to provide a precise, continuous, nearly yearlong dataset from a dynamic subtropical setting. The measurements are provided with 15-minute and 6-hourly resolution.

Parameterized Process Models For Underwater Munitions Expert System, Carl Friedrichs

Presentations

No abstract provided.

Inventory Of Gulf Oceanic Fauna Data Including Species, Weight, And Measurements. Cruises Dp01 May 1-8, 2015 And Dp02 August 9-21, 2015 R/V On The Point Sur In The Northern Gulf Of Mexico, April Cook, Tracey Sutton

DEEPEND Datasets

This data set includes the biological and environmental data for all of the species collected during the DP01 (May 2015) and DP02 cruises (August 2015). The main gear type used was a 10-m2 Multiple Opening Closing Net and Environmental Sensing System (MOCNESS). The MOCNESS was fitted with 6 nets which were opened according to the following depth scheme: net 0 from the surface to 1500m, net 1 from 1500-1200m, net 2 from 1200-1000m, net 3 from 1000-600m, net 4 from 600-200m, and net 5 from 200m to the surface. Two trawls were conducted at each station sampled to capture diel …

Synthesis: Understanding Of Chesapeake Bay Water Clarity Patterns, Carl Friedrichs

Presentations

No abstract provided.

Two Years Of Scintillometer Data Collected In North Dakota, Xiaodong Zhang Ph.D, Wai Wah Ng

Datasets

Each file contains data required for scintillometer analysis. Data of different variables were measured in a minute sampling rate at N 5216013.631 E 492396.090 on a specific day. Variables include, but not limited to, structure function constant of refractive index, soil heat flux, wind speed, wind direction, net radiation, pressure, relative humidity, upper/lower temperatures, etc.

Sky And Water Leaving Radiance, Xiaodong Zhang Ph.D, Afshin Shabani

Datasets

Measured on boat using ASD instrument.

Snow Depth Data, Xuefeng Michael Chu Ph.D, Kendall Grimm, Mohsen Tahmasebi Nasab, Ning Wang, Mohammad Hadi Bazrkar, Lan Zeng, Matt Lee, Jamal Ghauri, Dillon Ekholm, Jackie Arntson, Libby Kruse, Jared Swanberg

Datasets

Ten precipitation stations were set up to collect precipitation data (including rainfall/snowfall and snow depth measurements) across 6 USGS HUC10 watersheds. The ultrasonic snow depth sensor was utilized to obtain continuous and non-contact snow depth measurements (Ultra Sonic Snow Depth Sensor (USH-8), Hydrological Services America). Data accuracy is within 0.1% due to the integrated temperature compensation and filtering of snow and rainfall using intelligent spectrum analysis. However, the sensor does pick up any vegetation beneath the sensor. Thus, the snow depth data were processed. See the ReadMe file for complete details located in the zip file of snow depth data.

Precipitation Data, Xuefeng Michael Chu Ph.D, Kendall Grimm, Mohsen Tahmasebi Nasab, Ning Wang, Mohammad Hadi Bazrkar, Lan Zeng, Matt Lee, Jamal Ghauri, Dillon Ekholm, Jackie Arntson, Libby Kruse, Jared Swanberg

Datasets

Ten precipitation stations were set up to collect precipitation data (including rainfall/snowfall and snow depth measurements) across 6 USGS HUC10 watersheds. The heated tipping bucket rain gauge was utilized to obtain precipitation measurements. The heating mechanism engaged when temperatures were below freezing and thawed frozen precipitation to acquire measurements year-round (Heated Tipping Bucket Rain Gauge, Hydrological Services America). The data accuracy is within +/- 3% even with high rainfall intensities due to the integrated syphon mechanism which controls the release of precipitation into the tipping bucket (TB3 Tipping Bucket Rain Gauge, Hydrological Services America). The data were originally collected at …

Gis Data: King George County, Virginia Shoreline Inventory Report, Marcia Berman, Karinna Nunez, Sharon A. Killeen, Tamia Rudnicky, Julie G. Bradshaw, Kory Angstadt, Karen A. Duhring, Kallie Brown, Jessica Hendricks, David Weiss, Carl Hershner

Data

The 2017 Inventory for King George County was generated using on-screen, digitizing techniques in ArcGIS® -ArcMap v10.4.1 while viewing conditions observed in Bing high resolution oblique imagery, Google Earth, and 2013 imagery from the Virginia Base Mapping Program (VBMP).Four GIS shapefiles are developed. The first describes land use and bank conditions (King_George_lubc_2017). The second portrays the presence of beaches (King_George _beaches_2017). The third reports shoreline structures that are described as arcs or lines(e.g. riprap)(King_George _sstru_2017). The final shapefile includes all structures that are represented as points(e.g. piers)(King_George_astru_2017).The metadata file accompanies the shapefiles and defines attribute accuracy, data development, and any …

Gis Data: The County Of Spotsylvania, Virginia Shoreline Manangement Model, Marcia Berman, Karinna Nunez, Tamia Rudnicky, Julie Bradshaw, Karen Duhring, Kallie Brown, Jessica Hendricks, David Weiss, Carl Hershner

Data

The Shoreline Management Model is a GIS spatial model that determines appropriate shoreline best management practices using available spatial data and decision tree logic. Available shoreline conditions used in the model include the presence or absence of tidal marshes, beaches, and forested riparian buffers, bank vegetation cover, bank height, wave exposure (fetch), nearshore water depth, and proximity of coastal development to the shoreline. The model output for shoreline best management practices is displayed in the locality Comprehensive Map Viewer. One GIS shapefile is developed that describes two arcs or lines representing practices in the upland area and practices at the …

Catch The King Tide 2017 Data: Gloucester & Mathews, Virginia, Jon Derek Loftis

Data

"Catch the King" was a citizen science GPS data collection effort centered in Hampton Roads, VA, that sought to map the King Tide's maximum inundation extents with the goal of validating and improving predictive models for future forecasting of increasingly pervasive "nuisance" flooding. GPS data points were collected by volunteers to effectively breadcrumb/trace the high water line by pressing the 'Save Data' button in the Sea Level Rise App every few steps along the water's edge during the high tide on the morning of Nov. 5th, 2017.

Response from the event's dedicated volunteers, fueled by the local media …

Gis Data: Henrico County, Virginia Tidal Marsh Inventory, Marcia Berman, Karinna Nunez, Sharon Killeen, Tamia Rudnicky, Julie Bradshaw, Karen Duhring, Kallie Brown, Jessica Hendricks, David Weiss, Carl Hershner

Data

The 2017 Tidal Marsh Inventory update for Henrico County, Virginia was generated using on-screen digitizing techniques in the most recent version of ArcGIS® - ArcMap while viewing conditions observed in the most recent imagery from the Virginia Base Mapping Program (VBMP). Dominant plant community types were primarily determined during field surveys from shallow-draft boats moving along the shoreline. Land-based surveys were performed in some locations. One shapefile is developed that portrays tidal marsh areas represented as polygons. A metadata file accompanies the shapefile to define attribute accuracy, data development, and any use restrictions that pertain to the data.

Gis Data: The County Of Isle Of Wight, Virginia Shoreline Inventory Report, Marcia Berman, Karinna Nunez, Tamia Rudnicky, Julie Bradshaw, Karen Duhring, Kallie Brown, Jessica Hendricks, David Stanhope, Kory Angstadt, Christine Tombleson, David Weiss, Carl Hershner

Data

The 2017 Inventory for the Isle of Wight County was generated using on-screen, digitizing techniques in ArcGIS® -ArcMap v10.4.1while viewing conditions observed in Bing high resolution oblique imagery, Google Earth, and2013imagery from the Virginia Base Mapping Program (VBMP). Four GIS shapefiles are developed. The first describes land use and bank conditions (IsleofWight_lubc_2017). The second portrays the presence of beaches (IsleofWight_beaches_2017). The third reports shoreline structures that are described as arcs or lines(e.g. riprap)(IsleofWight_sstru_2017). The final shapefile includes all structures that are represented as points(e.g. piers)(IsleofWight_astru_2017).The metadata file accompanies the shapefiles and defines attribute accuracy, data development, and any use restrictions …