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Priority development areas for utility-scale solar energy facilities as identified in the Solar PEIS Record of Decision. An additional Solar Energy Zone identified in the Arizona Restoration Design Energy Project (RDEP) is also included.

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<p>The Synchronized Position, Hold, Engage, Reorient, Experimental Satellites – VERTIGO (SPHERES-VERTIGO) developed by the Massachusetts Institute of Technology (MIT)—are free-floating, soccer-ball-sized robots with their own propulsion and power. They are used aboard the ISS to study formation flight and other control system algorithms. For this experiment, these same SPHERES will be programmed with thruster firings that will emulate common maneuvers carried out by launch vehicles and spacecraft. This motion will impart energy to the fluid inside the experiment, which will measure its effects. </p><p>The ISS provides the perfect environment to conduct liquid behavior studies in microgravity. This investigation is planned to collect valuable data on how liquids move around inside of a container when external forces are applied to that container – this simulates how rocket fuels move around inside their tanks when motor thrusts are used to push the rocket through space. The slosh experiment takes advantage of hardware already on the ISS.</p><p>The primary slosh experiment component is a clear, pill-shaped Lexan tank in the middle of the assembly. This tank is shrouded by a tan box designed to prevent the ISS ambient lights from interfering with the cameras. Also in the middle, is the center hub made of aluminum. This center hub has two arms to hold two high-resolution cameras. These cameras will collect video of the fluid inside the tank. The center hub assembly is connected to a larger frame, which connects to the two SPHERES units through a clamp system. VERTIGO computers attached to the SPHERES units will collect the data from the cameras and the onboard inertial measurement units. These computers are already on the ISS and will be used by the slosh experiment as storage and power for the cameras and accelerometers. </p>

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The objective for the Phase II effort will be to develop a comprehensive, efficient, and flexible uncertainty quantification (UQ) framework implemented within a matured user-friendly software, which will enable the modeling of both inherent and epistemic uncertainties in spacecraft system models, have a general quantification of margins and uncertainties (QMU) capability for system certification and reliability assessment, and utilize advanced methods based on non-intrusive polynomial chaos (NIPC) for efficient and accurate propagation of mixed (inherent+epistemic) uncertainties as also demonstrated under the Phase I effort. In the proposed project, an adaptive uncertainty quantification methodology, which will successively utilize different NIPC methods depending on the size of the problem along with the non-linear global sensitivity information, will be implemented to address the computational expense of UQ in complex spacecraft system simulations with large number of uncertain variables. The developed UQ framework and QMU capability will be demonstrated on a large-scale spacecraft system model that is of interest to NASA. This proposed work will compliment M4 Engineering's expertise in developing simulation technologies that solve relevant demonstration applications. The researchers from MS&T (RI) will guide the implementation of UQ and QMU methodologies and contribute to the proposed effort with their UQ expertise in aerospace simulations.

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This spreadsheet summarizes the number of corals photographed along a permanent transect line at Underwater Site ROS7P at Rose Atoll on 2102004.

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The physical world around us is three-dimensional (3D), yet most existing display systems with flat screens can handle only two-dimensional (2D) flat images that lack the third dimension (depth) information. This fundamental restriction greatly limits the capability of human being in perceiving and visualizing the complexity of real world objects. The primary objective of this Phase 1 SBIR is to develop a novel high-resolution volumetric 3D display system that has a static solid crystal screen. In contrast to conventional 3D visualization based on 2D flat screen, the "volumetric 3D display" we proposed herein possesses a true 3D display volume, has a 360 degree look-around group viewing capability, and allows a group of viewers to simultaneously view and analyze 3D data without wearing any special viewing goggle. It provides both physiological and psychological depth cues to human visual system to perceive 3D objects and is considered as the Holy Grail solution to 3D visualization of many NASA datasets that inherently are extremely large, complicated, and multi-dimensional. Although we successfully developed various volumetric 3D display systems in the past, most these previously developed systems generate their 3D display volume by a large size moving screen that rotates constantly at a speed of 600~1800 RPM. The structure of a moving screen dramatically complicates the design, production, use, and maintenance of the display system, making it very delicate and fragile for daily uses for NASA visualization work on earth. Due to the existence of a large moving parts, such volumetric 3D display technology is certainly not suitable for on-board uses in space missions. This SBIR program will investigate the feasibility of a technology breakthrough recently made by Xigen LLC and developed a revolutionary new concept of volumetric 3D display, which totally eliminates any moving screen.

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he Floodplain Mapping/Redelineation study deliverables depict and quantify the flood risks for the study area. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual- chance flood event, and areas of minimal flood risk. The Floodplain Mapping/Redelineation flood risk boundaries are derived from the engineering information Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA).

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Each year Congress passes legislation which, when signed by the President, appropriates funds for the Department of Transportation and related agencies. After this legislation is enacted, FTA publishes a Notice in the Federal Register which provides an overview of the apportionments and allocations based on these funds for the various Federal Transit Administration programs as well as statements of policy and guidance on public transit administration. These data sets show how FTA funding is distributed.

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The design of this field mission is three fold: (1) to spatially characterize the distribution, abundance and size of both reef fishes and macro invertebrates within and around the waters of the Flower Gardens National Marine Sanctuary, (2) to relate this information to in-situ data collected on associated habitat parameters and (3) to use hydroacoustics technologies for a comprehensive assessment of East and West Bank. This information collected will be used to evaluate the utility of an experimental fishing closure on one of the most pristine reefs under US jurisdiction in the tropical Western Atlantic. Data collected during this mission (pre-closure) will provide baseline information necessary to evaluate closure efficacy and assess whether the closure should become permanent.

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This report covers the prey utilization by wolves and an assessment of wolf and prey densities in 3 drainages within the Arctic National Wildlife Refuge. The relative utilization and availability of prey types used by wolves Canis lupus in the Kongakut, Hulahula and Canning River drainages was assessed by visual observation and by analysis of wolf scats. Wolves were observed in each of the 3 drainages. Visual assessment indicated that moose Aloes aloes, caribou Rangifer tarandus, and Dall sheep Ovis dalli were available to the wolves in the Kongakut drainage. In the Hulahula drainage, sheep seemed to be the prey species most available, while in the Canning moose were present in relatively high densities and caribou at a lower but stable density. Scat analysis indicated that the Kongakut wolves preyed on the 3 available ungulates, but focused on caribou; the Hulahula wolves also utilized all 3 species, but ate relatively more sheep; while no moose remains were found in the scats from the Canning.

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The Pipeline and Hazardous Materials Safety Administration has the primary responsibility for the issuance of DOT Special Permits and Approvals to the Hazardous Materials Regulations (HMR). A Special Permit or Approval is a document which authorizes a person to perform a function that is not currently authorized under the authority of the HMR. Also, in many instances, the Regulations require approvals and/or registrations prior to transportation in commerce. The Special Permits Search tool allows a user to search for active Special permits.

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This Phase II proposal is to develop a miniature, low power consumption, fused deep UV Raman and native fluorescence (DUV-RF) 1 meter stand-off sensor. The proposed instrument has an enhanced ability to measure the spatial distribution of chemical species containing C/N/H/O/S/Cl, and water, ice, and hydrated-minerals on a 1-5 mm spatial scale enabled by a novel wide-aperture, high-sensitivity ultraminiature UV Raman spectrometer. Raman spectroscopy is a non-contact, non-destructive, method of identifying unknown materials without sample acquisition or processing; ideal for in-situ rovers. However traditional Raman instruments are plagued with fluorescence backgrounds, require sample altering, high-powered lasers, and require the use fiber optics; an instrument design with operational constraints and high power requirements. Our innovative instrument design incorporates our deep UV lasers for fiberless resonance Raman spectroscopy in a fluorescence free zone where resonance effects lead to enhancements by > 2-3orders of magnitude over 532 and 785 nm systems and can be coupled to native fluorescence for ppt detection of aromatic organics compounds. The New Frontiers has placed a South pole-Aitken Basin sample return as a future mission scenario. The enhanced detection capabilities of DUV-RF can be used to provide an understanding of organics and water distribution in the lunar regolith.

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The Combined Heat & Power (CHP) Installation Database contains information about all the known CHP installations across the country. This data is compiled through a variety of sources and is the only known data set of its kind. DOE, in partnership with the Oak Ridge National Laboratory and ICF International, will be releasing the non-confidential data from this database, including the CHP system's city, industry NAICS code, MW capacity, fuel, prime mover technology, initial operating year, and servicing electric utility.

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This digital dataset defines the surface traces of regional features simulated as horizontal flow barriers in the Death Valley regional ground-water flow system (DVRFS) transient flow model, an approximately 45,000 square-kilometer area of southern Nevada and California. The DVRFS transient groundwater flow model is one of several regional-scale models developed by the U.S. Geological Survey (USGS) for the U.S. Department of Energy (DOE) to support investigations at the Nevada Test Site (NTS) and at Yucca Mountain, Nevada (see "Larger Work Citation", Chapter A, page 8). Initially, potential ground-water flow barriers were identified on the basis of length, offset, type of slip, orientation with respect to predominant ground-water flow directions, the location of springs, abrupt water level offsets, and hydraulic characteristics (Sweetkind and others, 2004). These potential flow barriers were tested in the transient ground-water flow model for effect on the simulated DVRFS flow system (Faunt and others, 2004). Ultimately, portions of 9 features simulated as horizontal flow barriers were shown to retard flow in the calibrated DVRFS transient model.

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SSCI is proposing to develop a set of topology control algorithms for a formation flying spacecraft that can be used to design and evaluate candidate formation architectures. Properties of these topology control algorithms include: (a) Preserving the connectivity of the underlying state-dependent sensing graph during reconfiguration and re-targeting of the formation; (b) Achieving a balanced interplay between performance and robustness to communication delays; and (c) Using only local information to make local decisions that collectively guarantee the global properties such as the network connectivity. Phase I effort will deliver a preliminary software analysis tool to help the NASA TPFI team evaluate these trade-offs for candidate TPFI architectures. In order to achieve these objectives we plan to carry out the following tasks: (i) Develop algorithms to maximize the connectivity under limited FOV constraints. (ii) Analyze the trade-off between network connectivity and robustness to communication delays. (iii) Design algorithms to maintain connectivity during a pre-specified reconfiguration with energy optimal trajectories. (iv) Demonstrate the application of the developed methods to TPF-I baseline mission. In Phase II the goal is to deliver to NASA a complete set of algorithms and software tools to perform distributed communication design for TPF-I as well as other formation flying missions that may involve a larger number of spacecraft. These algorithms and software will be tested on high fidelity formation flying testbeds at JPL such as FAST or FCT.Professor Mehran Mesabhi of University of Washington will provide technical support under the project.

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Ensuring a safe air environment in manned spacecraft is critical to the success of all missions. Exposure to hazardous chemical species threatens the well-being of the crew and prevents them from fulfilling their tasks. While a wide variety of sensors currently are available to monitor such chemicals on the ISS, some of these sensors are inadequate. In particular for one important species, formaldehyde, Southwest Sciences proposes to develop a sensor that can provide continuous, real-time monitoring of this gas, so as to assure that the crew is better protected.

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The USGS Central Region Energy Team assesses oil and gas resources of the United States. The onshore and State water areas of the United States comprise 71 provinces. Within these provinces, Total Petroleum Systems are defined and Assessment Units are defined and assessed. Each of these provinces is defined geologically, and most province boundaries are defined by major geologic changes. The Powder River Basin Province is located in northeast Wyoming and southeast Montana with some assessment units extending beyond the existing province boundary into small areas of southwest South Dakota and northwest Nebraska. The province encompasses all or parts of Big Horn, Campbell, Carter, Converse, Crook, Custer, Fall River, Fallon, Johnson, Natrona, Niobrara, Powder River, Rosebud, Sheridan, Sioux, Treasure, Weston, and Yellowstone counties in the states listed above. Main population centers (greater than 15,000 residents) within the study area are Casper and Gillette, Wyoming. Interstate 90 generally traverses the province from east to west while I-25 runs north to south. The province boundary was drawn to include the geologic structures generally considered to be in or bounding the Powder River Basin along with some political boundaries as guides.

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The Mortar Fire Control Programs System Integration Lab is a 2478 square-foot Software Support Environment (SSE). The Lab contains all target fielded hardware and software tools required to support all Mortar Fire Control Programs, such as the Mortar Fire Control System (MFCS) and the Lightweight Hand Held Mortar Ballistic Computer (LHMBC). Testing consists of the operational software which includes integration testing and software formal qualification testing. The MFSC consists of 6 complete test station environments, where each environment supports testing as a mortar platoon, including associated Fire Support Network assets with a Fire Direction Center (FDC), FBCB2, FOS, AFATDS. Multiple gun configurations are constructed to perform multiple-gun testing. The mortar lab is also equipped with outdoor radio antennas mounted on the building's rooftop that facilitate communicating with the FDC M577, Stryker Vehicle and 1064 Gun platforms throughout the arsenal area to support navigation testing. A rooftop mounted GPS antenna provides GPS signal that is networked and re-radiated through out the laboratory, thus eliminating multiple GPS antennas and providing GPS signal in the laboratories and highbay area. The Lab also consists of post-fielding stations and hardware kitting area for system fielding such as that performed for the LHMBC.

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Collection includes presentation materials and outputs from operational space environment models produced by the NOAA Space Weather Prediction Center (SWPC) and other related model datasets. Included are; 1) regional space environment specifications of the atmospheric total electon content (TEC) for the continental United States (CONUS), 2) global specifications of ionospheric D-region (radio-wave) absorption and 3) interplanetary solar-wind specifications for predicting the propagation and arrival times of geoeffective coronal mass ejections (CME). Also included is a 30-year space environment climatogy produced by the NOAA National Centers for Environmental Information (formerly NGDC).

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Monthly 1993 data at the company level on imports of crude oil and/or petroleum products into the 50 States, the District of Columbia, Puerto Rico, the Virgin Islands other U.S. possessions, and Foreign Trade Zones located in the 50 States and DC by each importer of record. Based on Form EIA-814 data.

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A regional Group for High Resolution Sea Surface Temperature (GHRSST) Level 2P dataset based on multi-channel sea surface temperature (SST) retrievals generated in real-time from the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-19 platform (launched 6 Feb 2009) produced and used operationally in oceanographic analyses and forecasts by the US Naval Oceanographic Office (NAVO). The AVHRR is a space-borne scanning sensor on the National Oceanic and Atmospheric Administration (NOAA) family of Polar Orbiting Environmental Satellites (POES) having a operational legacy that traces back to the Television Infrared Observation Satellite-N (TIROS-N) launched in 1978. AVHRR instruments measure the radiance of the Earth in 5 (or 6) relatively wide spectral bands. The first two are centered around the red (0.6 micrometer) and near-infrared (0.9 micrometer) regions, the third one is located around 3.5 micrometer, and the last two sample the emitted thermal radiation, around 11 and 12 micrometers, respectively. The legacy 5 band instrument is known as AVHRR/2 while the more recent version, the AVHRR/3 (first carried on the NOAA-15 platform), acquires data in a 6th channel located at 1.6 micrometer. Typically the 11 and 12 micron channels are used to derive SST sometimes in combination with the 3.5 micron channel. The NOAA platforms are sun synchronous generally viewing the same earth location twice a day (latitude dependent) due to the relatively large AVHRR swath of approximately 2400 km. The highest ground resolution that can be obtained from the current AVHRR instruments is 1.1 km at nadir. AVHRR data are acquired in three formats: High Resolution Picture Transmission (HRPT), Local Area Coverage (LAC), and Global Area Coverage (GAC). HRPT data are full resolution image data transmitted to a ground stations as they are collected. LAC are also full resolution data, but the acquisition is prescheduled and recorded with an on-board tape recorder for subsequent transmission during a station overpass. GAC data provide daily subsampled global coverage recorded on tape recorders and then transmitted to a ground station. This particular dataset is derived from LAC data. Further binning and averaging of the 1.1 km LAC pixels results in a final dataset resolution of 2.2 km. The coverage of the LAC data can vary but generally contains scenes over the oceans adjacent to Australia and the North Indian Ocean.

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The Water Quality Act of 1987 established the National Estuary Program, which has as one of its objectives the formation of citizen groups for monitoring the quality of coastal waters. One such group that formed to monitor Mobile Bay was called Baywatch. Under the guidance of Dr. George Crozier of the Dauphin Island Sea Lab (DISL), and in association with the Mobile Field Office of the Alabama Department of Environmental Management (ADEM), citizens were trained to collect and analyze water samples once a week between 10am and 2pm for 50 stations located in the Mobile Bay delta, Mississippi Sound, Weeks Bay, Perdido Bay, and several local streams. Parameters measured included water temperature, salinity, dissolved oxygen, turbidity, air temperature, and rainfall. Water temperature, salinity, and dissolved oxygen were measured from both surface and bottom waters where possible. The purpose of this study was to provide a better understanding of the processes affecting the waters of coastal Alabama.

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The objective of this plan is to provide a preapproved system to coordinate efforts and exchange or utilize resources for the prevention, detection, and suppression of wildfires, fuels management, and cooperative projects for resource protection in and adjacent to areas of responsibility, and to limit duplication and improve efficiency and effectiveness. The plan outlines the exchange of information, personnel, equipment, aircraft, supplies, and services among the cooperating agencies.

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The Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) instrument on the NASA EOS Aqua satellite provides global passive microwave measurements of the Earth. NSIDC produces AMSR-E gridded brightness temperature data by interpolating AMSR-E data (6.9 GHz, 10.7 GHz, 18.7 GHz, 23.8 GHz, 36.5 GHz, and 89.0 GHz) to the output grids from swath space using an inverse-distance squared method. AMSR-E/Aqua L2A Global Swath Spatially-Resampled Brightness Temperatures (AE_L2A) input source data are used to create the gridded brightness temperature data. These data are provided in one global cylindrical, equidistant latitude-longitude projection at 0.25 degree (quarter-degree) resolution. Spatial coverage is global, data are daily, and coverage begins 19 June 2002, and ends 27 September 2011. Data are provided via FTP. Brightness temperature data (in tenths of kelvins) are two-byte unsigned integers and time files are two-byte signed integers.

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The purpose of this census was to provide information on juvenile detention centers throughout the United States. The data include information on type of facility, level of government administering the facility, resident population by sex, by age range, b

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The Floodplain Mapping study deliverables depict and quantify the flood risks for the study area. The primary risk classifications used are the 1-percent annual chance flood event, the 0.2-percent annual chance flood event, and areas of minimal flood risk. The Floodplain Mapping flood risk boundaries are derived from the engineering information Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA).