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The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

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The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

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Future space programs will require extensive monitoring of complex, highly instrumented systems such as the Orion spacecraft and lunar/Martian habitats. To handle tasks and situations that cannot be fully delegated to automation software, future flight controllers and crew must be able to monitor, review and interpret voluminous and complex telemetry data quickly to maintain necessary levels of situations awareness and make critical decisions rapidly and accurately. We propose to develop Intelliviz, an intelligent telemetry data visualization assistant for NASA. This software system will create data visualizations automatically to reduce the effort and difficulty of specifying and constructing effective telemetry data visualizations. Intelliviz will determine the user's data analysis goals by enabling users to express their data analysis goals directly and by posing system diagnosis or system management questions or problems from which analysis goals can be inferred. Intelliviz will then generate appropriate displays that support the user's data analysis goals by retrieving the relevant telemetry and systems data, selecting appropriate data display methods, and instantiating and configuring those displays. During the prior Phase 1 SBIR project, we reviewed research literature describing prior work in automated visualization design, reviewed related NASA R&D programs, specified scenarios and test cases, identified promising early applications for Intelliviz, refined our requirements and design, implemented a software prototype that demonstrates Intelliviz capabilities, and developed a plan to create an operational prototype during Phase 2. During the phase 2 project proposed in this document, we will develop a technology readiness level 6 operational prototype of Intelliviz to demonstrate its feasibility, utility, and usability by a NASA-relevant user community and task area.

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This report summarizes the Waterfowl Breeding Population and Habitat Survey and Waterfowl Production and Habitat Survey for southern Saskatchewan during 1960. The primary purpose of the breeding survey is to provide information on spring population size and trajectory for certain North American duck species, and the primary purpose of the production survey is to provide information on duck production from the midcontinent breeding areas. Survey methods, habitat and weather conditions; breeding population indices; production indices; and tables of population estimates, waterfowl broods, and latenesting indices are provided.

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This Comprehensive Conservation Plan CCP was written to guide management on Ernest F. Hollings Ace Basin NWR for the next 15 years. This plan outlines the Refuge vision and purpose and describes how Ernest F. Hollings Ace Basin NWR will contribute to the overall mission of the Refuge System. The plan provides an introduction to the Refuge, an overview of the CCP process, information about the management direction, strategies for implementation, and consultation. Key planning issues include: wildlife management, habitat management, resource protection, visitor services, and Refuge administration.

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The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

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The Muscatatuck National Wildlife Refuge Habitat Management Plan provides a longterm vision and specific guidance on managing habitats for the resources of concern at Muscatatuck, to facilitate continuity in management programs. Refuge background, resources of concern, and habitat management goals and objectives are discussed. Management strategies and prescriptions then identify how and the specific means by which management and monitoring strategies will be implemented. Appendices follow.

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The U.S. National Oceanographic Data Center (NODC) operates the Global Argo Data Repository (GADR) as the long-term archive for the International Global Argo Project (for additional information about Argo, see http://www.argo.ucsd.edu/ (last accessed April 2009)). Argo data archived by the US NODC on a weekly basis starting the second quarter of FY 2003, may include real-time and/or delayed-mode profiles of ocean temperature and salinity, as well as related conductivity and/or pressure measurements (if any), collected by Argo profiling floats.

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The Tropical Rainfall Measuring Mission (TRMM) is a joint U.S.-Japan satellite mission to monitor tropical and subtropical precipitation and to estimate its associated latent heating. TRMM was successfully launched on November 27, at 4:27 PM (EST) from the Tanegashima Space Center in Japan. The TRMM Precipitation Radar (PR), the first of its kind in space, is an electronically scanning radar, operating at 13.8 GHz that measures the 3-D rainfall distribution over both land and ocean, and defines the layer depth of the precipitation. PR 2A23 produces a rain/no-rain flag. Its main objectives are (1) to detect bright band (BB), (2) to classify rain type, and (3) to detect warm rain. 2A23 uses two different methods for classifying rain type: (1) vertical profile method (V-method) and (2) horizontal pattern method (H-method). Both methods classify rain into three categories: stratiform, convective, and other. To make the results user-friendly, 2A23 outputs a unified rain type. Further information about 2A23 can be found in Awaka et al. (1998). The V-method starts with the detection of BB. This detection is made by a spatial filter, based on the second derivative of Z with respect to range, and by imposing several conditions on BB (e.g., Z above BB peak should decrease appreciably, the height of BB should appear almost at the same height). One of the major conditions imposed on BB is that the height of BB must be located in a BB window, whose range is from freezH - 1.5 km to freezH + 1.5 km, where freezH is the height of freezing level estimated from a climatological surface temperature at sea level, Tsurface, by the following formula: freezH = Tsurface / Tlapse, and where Tlapse is the lapse rate of temperature (2A23 assumes that Tlapse = 6.0 (deg/km)). After the BB detection, the V-method goes on to classify rain type. The outline of rain type classification by the V-method is as follows: 1. When BB exists, rain is basically classified as stratiform. 2. When BB is not detected, and maximum value of Z at a given angle bin exceeds a convective threshold, rain type for this angle bin is classified as convective. 3. Other type is defined as not-stratiform and not-convective. It should be noted that other type of rain by the V-method is defined as not-convective and not-stratiform, i.e., (1) there exists appreciable radar echo, but it is not strong enough to be convective and (2) BB is not detected. The H-method also classifies rain into 3 categories: stratiform, convective, and other. However, their definitions are different from those of the V-method. The H-method is based on the University of Washington convective/stratiform separation method (Steiner et al., 1995), which examines the horizontal pattern of Z at a given height, where Z has a 2 km horizontal resolution. In 2A23, the following modifications are made: 1. Instead of examining a horizontal pattern of Z at a given height, a horizontal pattern of Zmax is examined; here, Zmax is the maximum of Z along the range for each antenna scan angle below freezH (minus 1 km margin). 2. Parameters are changed so that they may be suitable for the TRMM data with 4.3 km horizontal resolution. The parameters were chosen before the launch of TRMM, using test Ground Validation (GV) data in such a way that the 4.3 km resolution data produce almost the same result as that with a 2 km resolution data. 3. Other type of rain is introduced to handle noise. In the H-method, detection of convective rain is made first. If one of the following conditions is satisfied for a pixel, which corresponds to the angle bin data being considered, it is judged that the pixel is a convective center: (1) Zmax exceeds a convective threshold or (2) Zmax stands out against the background area. Rain type for a convective center is convective, and rain type for the pixels nearest to the convective center is also convective. In the H-method, if rain type is not convective and if the...

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The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

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The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

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A major component of airframe noise for commercial transport aircraft is the deployed landing gear. The noise from the gear originates due to complex, unsteady bluff body flow separation from gear components and the subsequent multiple interactions of unsteady wakes with downstream undercarriage elements. The object of this SBIR effort is to develop and advance a novel 'plasma fairing' technology for quieting landing gear noise. The concept deals with the use of single dielectric barrier discharge (SDBD) plasma actuators to reduce noise associated with bluff body separation around the gear. SDBD plasma actuators will be employed either in the form of spanwise-orientated actuators or plasma streamwise vortex generators (PSVGs) to suppress surface pressure fluctuations, and consequently flow-induced noise, on a representative landing gear model. Our Phase I effort will involve a combination of numerical and experimental studies to be conducted at Innovative Technology Applications Company, LLC and the University of Notre Dame, respectively, in order to advance the design and optimization of 'plasma fairings' from a simple geometry (tandem circular cylinder) to a more complex/realistic landing gear geometry (e.g., the Gulfstream G550 nose gear). A combination of DES numerical simulations and wind tunnel experiments is expected to provide a clear demonstration of the plasma fairing performance for noise reduction, while providing a clear path forward for Phase II.

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OSD observations from the 6th cruise of Akademik Shuleykin in Norwegian Sea

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This dataset has monthly Net Longwave Radiation data from the TAO/TRITON (Pacific Ocean, http://www.pmel.noaa.gov/tao/), RAMA (Indian Ocean, http://www.pmel.noaa.gov/tao/rama/), and PIRATA (Atlantic Ocean, http://www.pmel.noaa.gov/pirata/) arrays of moored buoys which transmit oceanographic and meteorological data to shore in real-time via the Argos satellite system. These buoys are major components of the CLIVAR climate analysis project and the GOOS, GCOS, and GEOSS observing systems. Monthly data is an average of daily values collected during a month. A minimum of 15 daily values are required to compute a monthly average. This dataset contains realtime and delayed mode data (see the 'source' variable). For more information, see http://www.pmel.noaa.gov/tao/proj_over/proj_over.html .

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The Light Detection and Ranging (LiDAR) dataset is a survey of Suwannee River G13PD00141 1.0 Meter LiDAR Survey Area 3, Classified Point Cloud, in north-central Florida and encompasses 45 square miles. The LiDAR point cloud was flown at a nominal post spacing of 1.0 meters for unobscured areas. The LiDAR data and derivative products produced are in compliance with the U.S. Geological Survey National Geospatial Program Guidelines and Base Specifications, Version 1. The flight lines were acquired by Digital Aerial Solutions, LLC. between Feb. 04, 2013 and Feb. 15, 2013. Derivative products from the aerial acquisition include: Raw point cloud data in LAS v1.2, classified point cloud data in LAS v1.2, bare earth surface tiles (raster DEM ESRI float GRID format), bare earth surface DEMs mosaic (raster DEM MrSID format), control points, project report, and FGDC compliant XML metadata.

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A bare-earth elevation map (also known as a Digital Elevation Model, or DEM) of the Assateague Island National Seashore in Virginia and Maryland was produced from remotely sensed, geographically referenced elevation measurements cooperatively by the U.S. Geological Survey (USGS), the National Park Service (NPS), and the National Aeronautics and Space Administration (NASA). Elevation measurements were collected over the area using the NASA Experimental Advanced Airborne Research Lidar (EAARL), a pulsed laser ranging system mounted onboard an aircraft to measure ground elevation, vegetation canopy, and coastal topography. The system uses high frequency laser beams directed at the Earth's surface through an opening in the bottom of the aircraft's fuselage. The laser system records the time difference between emission of the laser beam and the reception of the reflected laser signal in the aircraft. The plane travels over the target area at approximately 50 meters per second at an elevation of approximately 300 meters. The EAARL, developed by NASA at Wallops Flight Facility in Virginia, measures ground elevation with a vertical resolution of 15 centimeters. A sampling rate of 3 kilohertz or higher results in an extremely dense spatial elevation dataset. Over 100 kilometers of coastline can be surveyed easily within a 3- to 4-hour mission. When subsequent elevation maps for an area are analyzed, they provide a useful tool to land managers. For more information on Lidar science and the Experimental Advanced Airborne Research Lidar (EAARL) system and surveys, see http://ngom.usgs.gov/dsp/overview/index.php and http://ngom.usgs.gov/dsp/tech/eaarl/index.php .

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