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Affordable Practical High-Efficiency Photovoltaic Concentrator Blanket Assembly for Ultra-Lightweight Solar Arrays Project
nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:13:36.000ZDeployable Space Systems, Inc. (DSS) will focus the proposed NASA Phase 1 effort on the development of our innovative Functional Advanced Concentrator Technology (FACT). FACT is an affordable practical high-efficiency concentrator blanket assembly for ultra-lightweight solar arrays. FACT coupled to an ultra-lightweight solar array structural platform (such as DSS's ROSA) will provide game-changing performance metrics and unparalleled affordability for the end-user. FACT will enable emerging Solar Electric Propulsion (SEP) Space Science missions, and other NASA missions, through its ultra-affordability, high voltage operation capability, high/low temperature operation capability, high/low illumination operation capability, high radiation tolerance, ultra-lightweight, and ultra-compact stowage volume. Once completely optimized through the proposed Phase 1 and Phase 2 programs the FACT technology promises to provide NASA/industry a near-term and low-risk flexible blanket technology for advanced solar array systems that provides revolutionary performance in terms of high specific power / ultra-lightweight (>400-500 W/kg BOL at the array level & >1000 W/kg BOL at the blanket level, PV dependent), affordability (>50% cost savings at the array level), compact stowage volume (>80 kW/m3 BOL, 10X times better than current rigid panel arrays), high operation reliability, high radiation tolerance, high voltage operation capability (>150 VDC), scalability, and LILT & HIHT operation capability.
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GPM, DPR, GMI Level 3 Combined Precipitation V03
nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:03:54.000ZThere are uncertainties in the interpretation of data from any one of the instruments (KuPR, KaPR, and GMI). By using data from multiple instruments, further constraints on the solution of precipitation structure improve the final product.The purpose of 3CMB is to give a daily and monthly accumulation of the 2BCMB precipitation product. The 3CMB product is a daily and monthly accumulation of the 2BCMB orbital combined product at two grid sizes, 5 x 5 degrees (G1) and 0.25 x 0.25 degrees (G2). Grid G1 contains the following physical measurements of general interest, among others. Grid G2 contains the same groups, but it is on the ltH x lnH grid and does not have the surface type (st) dimension or the histograms (see dimension definitions below). Below, conditional products represent means based upon precipitating areas only; unconditional products represent means for raining and non-raining areas combined. Probabilities represent the number of raining observations divided by the total number of raining and non-raining observations. precipTotRate (Group in G1)- Conditional mean rate for all precipitation phases (ice, liquid, mixed-phase). * count (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st): Count. * mean (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Mean, mm/h. * stdev (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Standard deviation for the monthly product. Mean of squares for the daily product, mm/h. * hist (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st x bin): Histogram. precipLiqRate (Group in G1) - Conditional mean rate for liquid precipitation. * count (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st): Count. * mean (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Mean, mm/h. * stdev (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Standard deviation for the monthly product. Mean of squares for the daily product, mm/h. * hist (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st x bin): Histogram. precipTotWaterContent (Group in G1) - Conditional mean water content for all precipitation phases. * count (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st): Count. * mean (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Mean, g/m3. * stdev (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Standard deviation for the monthly product. Mean of squares for the daily product, g/m3. * hist (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st x bin): Histogram. precipLiqWaterContent (Group in G1) - Conditional mean liquid water content. * count (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st): Count. * mean (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Mean, g/m3. * stdev (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Standard deviation for the monthly product. Mean of squares for the daily product, g/m3. * hist (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st x bin): Histogram. precipTotDm (Group in G1) - Conditional mass-weighted mean particle diameter. * count (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st): Count. * mean (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Mean, mm. * stdev (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Standard deviation for the monthly product. Mean of squares for the daily product, mm. * hist (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st x bin): Histogram. precipTotRateDiurnal (Group in G1) - Conditional mean total surface precipitation rate indexed by local time. * count (4-byte integer, array size: ltL x lnL x ns x st x tim): Count. * mean (4-byte float, array size: ltL x lnL x ns x st x tim): Mean, mm/h. * stdev (4-byte float, array size: ltL x lnL x ns x st x tim): Standard deviation for the monthly product. Mean of squares for the daily product, mm/h. surfPrecipTotRateDiurnalAllObs (4-byte integer, array size: ltL x lnL x ns x st x tim): Number of total observa...
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SBIR/STTR Programs
nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:22:21.000Z<p>The NASA SBIR and STTR programs fund the research, development, and demonstration of innovative technologies that fulfill NASA needs as described in the annual Solicitations and have significant potential for successful commercialization. If you are a small business concern (SBC) with 500 or fewer employees or a non-profit RI such as a university or a research laboratory with ties to an SBC, then NASA encourages you to learn more about the SBIR and STTR programs as a potential source of seed funding for the development of your innovations.</p><p><strong>The SBIR and STTR programs have 3 phases</strong>:</p><ul><li><strong>Phase I</strong> is the opportunity to establish the scientific, technical, and commercial feasibility of the proposed innovation in fulfillment of NASA needs.</li><li><strong>Phase II</strong> is focused on the development, demonstration and delivery of the proposed innovation.</li></ul><p>The SBIR and STTR Phase I contracts last for 6 months with a maximum funding of $125,000, and Phase II contracts last for 24 months with a maximum funding of $750,000 - $1.5 million.</p><ul><li><strong>Phase III</strong> is the commercialization of innovative technologies, products, and services resulting from either a Phase I or Phase II contract. Phase III contracts are funded from sources other than the SBIR and STTR programs and may be awarded without further competition.</li></ul><p><strong>Opportunity for Continued Technology Development Post-Phase II</strong>:</p><p>The NASA SBIR/STTR Program currently has in place two initiatives for supporting its small business partners past the basic Phase I and Phase II elements of the program that emphasize opportunities for commercialization. Specifically, the NASA SBIR/STTR Program has the Phase II Enhancement (Phase II-E) and Phase II eXpanded (Phase II-X) contract options.&nbsp;</p><p><strong>Please review the links below to obtain more information on the SBIR/STTR programs.</strong></p><ul><li><strong><a target="_blank" href="http://sbir.gsfc.nasa.gov/sites/default/files/ParticipationGuide.pdf">Participation Guide</a></strong></li></ul><p>Provides an overview of the SBIR and STTR programs as implemented by NASA</p><ul><li><strong><a href="http://sbir.gsfc.nasa.gov/solicitations">Program Solicitations</a></strong></li></ul><p>Provides access to the annual SBIR/STTR Solicitations containing detailed information on the program eligibility requirements, proposal instructions and research topics and subtopics</p><ul><li><strong><a href="http://sbir.gsfc.nasa.gov/prg_sched_anncmnt">Schedule and Awards</a></strong></li></ul><p>Schedule and links for the SBIR/STTR solicitations and selection announcements</p><ul><li><strong><a href="http://sbir.gsfc.nasa.gov/content/additional-sources-assistance">Sources of Assistance</a></strong></li></ul><p>Federal and non-Federal sources of assistance for small business</p><ul><li><strong><a href="http://sbir.gsfc.nasa.gov/abstract_archives">Awarded Abstracts</a></strong></li></ul><p>Search our complete archive of awarded project abstracts to learn about what NASA has funded</p><ul><li><strong><a href="http://sbir.gsfc.nasa.gov/content/frequently-asked-questions">Frequently Asked Questions</a></strong></li></ul><p>&nbsp;Still have questions? Visit the program FAQs</p>
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Increasing NASA SSC Range Safety by Developing the Framework to Monitor Airspace and Enforce Restrictions Project
nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:39:58.000Z<p>Engine testing at NASA SSC poses a significant risk to general aviation due to potential smoke and excessive turbulence. The airspace over Stennis has been designated as restricted from 0600 - 2300 at altitudes below 5000 feet. SSC has limited ability to detect aircraft that have breeched the restricted airspace. In order to protect lives and property, a systematic evaluation of the potential technologies was requested to identify and define options to monitor the airspace, warn aircraft of impending danger, warn NASA test operations, and if necessary provide NASA test operations data so that an informed, timely decision could be made on whether or not to interrupt engine tests. This project systematically evaluated potential technologies that could address the problem of unauthorized aircraft entering Restricted Airspace/R-4403; a primary focus of this activity was on protecting the SSC Fee and Buffer Zone during an engine test or other sensitive operation. The research began with the findings and technology identified in the SSC Facility Safety Assessment Report. In 2010, a Facility Safety Assessment was performed for SMA to identify hazards associated with the SSC multiuser test range. During this assessment, a top system level safety hazard concerning unauthorized aircraft entering the SSC Restricted Airspace during test range operations, as well as twelve other hazards that directly or indirectly relate to the top hazard, were identified. SSC has limited ability to detect aircraft that may have intentionally or unintentionally breached R-4403. Because the restricted airspace is controlled by Houston ARTCC, controllers at Gulfport-Biloxi International Airport (GPT) and Louis Armstrong New Orleans International Airport (MSY) are not required to monitor or alert aircraft to avoid R-4403.</p><p>The purpose of the project was to evaluate monitoring techniques to address the problem of aircraft entering R-4403, primarily focusing on access to the SSC Buffer Zone during an engine test or other sensitive operation. The objective was to provide a small set of cost effective solutions that enable appropriate personnel to make informed safety decisions in near-real time. A number of different existing and prototype technologies were considered against the monitoring requirements defined by NASA.</p><p>During this project, several different types of aircraft monitoring technologies were investigated. The project intended to prototype these potential technology solutions based on information and assessments performed. Potential software approaches to be prototyped included: phone apps, e-mail alerts, and desk top displays. Each was assessed against NASA&rsquo;s airspace monitoring requirements, which included the ability to monitor the entire buffer zone plus an additional 5 mile radius for both transponder and non-transponder equipped aircraft and, if possible, low-altitude UASs. Some technologies were eliminated because they are unable to track non-transponder equipped aircraft, while others are not capable of operating in all weather and illumination conditions. The remaining technologies represent potential solutions to monitoring the restricted airspace at SSC.&nbsp;Ultimately, the technologies investigated were not required and a refined notification procedure to follow in advance of test operations was implemented to insure NASA SSC Range Safety.</p><p>&nbsp;</p>
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Designer's Situation Awareness Toolbox (DeSAT) Project
nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:22:49.000ZThis SBIR will develop a design decision support tool that will assist designers in providing a powerful, supportive work environment for aviation crews that support the maintenance of a high level of situation awareness in the flight environment. DeSAT will be developed as a design decision support system providing the capability to (1) analyze the situation awareness requirements associated with operational requirements (which could include ground based or flight based crew members), (2) compare situation awareness information requirements to system design features to identify potential situation awareness problems and deficiencies early in the design process, and (3) evaluate the degree to which design concepts support SA via the Situation Awareness Global Assessment Technique (SAGAT). DeSAT will be developed for analysis of SA for both individual crew stations and for distributed teams operating across flight and time. DeSAT will allow designers to modify design concepts early in the design process to ensure that they provide the needed situation awareness to system users.
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GPM, DPR, GMI Level 3 Combined Precipitation V03
nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:03:54.000ZThere are uncertainties in the interpretation of data from any one of the instruments (KuPR, KaPR, and GMI). By using data from multiple instruments, further constraints on the solution of precipitation structure improve the final product.The purpose of 3CMB is to give a daily and monthly accumulation of the 2BCMB precipitation product. The 3CMB product is a daily and monthly accumulation of the 2BCMB orbital combined product at two grid sizes, 5 x 5 degrees (G1) and 0.25 x 0.25 degrees (G2). Grid G1 contains the following physical measurements of general interest, among others. Grid G2 contains the same groups, but it is on the ltH x lnH grid and does not have the surface type (st) dimension or the histograms (see dimension definitions below). Below, conditional products represent means based upon precipitating areas only; unconditional products represent means for raining and non-raining areas combined. Probabilities represent the number of raining observations divided by the total number of raining and non-raining observations. precipTotRate (Group in G1)- Conditional mean rate for all precipitation phases (ice, liquid, mixed-phase). * count (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st): Count. * mean (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Mean, mm/h. * stdev (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Standard deviation for the monthly product. Mean of squares for the daily product, mm/h. * hist (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st x bin): Histogram. precipLiqRate (Group in G1) - Conditional mean rate for liquid precipitation. * count (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st): Count. * mean (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Mean, mm/h. * stdev (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Standard deviation for the monthly product. Mean of squares for the daily product, mm/h. * hist (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st x bin): Histogram. precipTotWaterContent (Group in G1) - Conditional mean water content for all precipitation phases. * count (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st): Count. * mean (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Mean, g/m3. * stdev (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Standard deviation for the monthly product. Mean of squares for the daily product, g/m3. * hist (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st x bin): Histogram. precipLiqWaterContent (Group in G1) - Conditional mean liquid water content. * count (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st): Count. * mean (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Mean, g/m3. * stdev (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Standard deviation for the monthly product. Mean of squares for the daily product, g/m3. * hist (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st x bin): Histogram. precipTotDm (Group in G1) - Conditional mass-weighted mean particle diameter. * count (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st): Count. * mean (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Mean, mm. * stdev (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Standard deviation for the monthly product. Mean of squares for the daily product, mm. * hist (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st x bin): Histogram. precipTotRateDiurnal (Group in G1) - Conditional mean total surface precipitation rate indexed by local time. * count (4-byte integer, array size: ltL x lnL x ns x st x tim): Count. * mean (4-byte float, array size: ltL x lnL x ns x st x tim): Mean, mm/h. * stdev (4-byte float, array size: ltL x lnL x ns x st x tim): Standard deviation for the monthly product. Mean of squares for the daily product, mm/h. surfPrecipTotRateDiurnalAllObs (4-byte integer, array size: ltL x lnL x ns x st x tim): Number of total observa...
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Predictive Situational Awareness Tool Project
nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:09:28.000ZSituational Awareness is the key element of performing safe and effective operations, and the space vehicle operations carried out by NASA is by no means an exception to the rule. Astronauts and flight controllers need to maintain awareness of the situation in the space vehicles, robots, habitats, Mission Control Center, and other systems. NASA has devoted and continues to devote a significant amount of resources to software for displaying the current situation in order to maintain this awareness. However, astronauts and flight controllers need to predict the future state of the systems for themselves. What will happen next? Resources have now advanced to the point where it is possible to inform the astronauts and flight controllers of the expected situation in the near future, and also to warn them if the current situation does not match the expectations of the recent past?this will indicate a developing issue that requires attention. All of this will aid in reducing the cognitive load on the astronauts and flight controllers, and help them perform their work safely and effectively. S&K Aerospace, LLC (SKA) proposes to research and develop a system that will provide predictive situational awareness to flight controllers and astronauts, by bringing together information about the current state of the vehicles and other systems, the activities planned in the near future, and the expected state of the system in the future, as well as an indication if the current state of the system matches planned state. This system will be called the Predictive System Awareness Tool, or PSAT.
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GPM, DPR, GMI Level 3 Combined Monthly Precipitation V03
nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:03:55.000ZThere are uncertainties in the interpretation of data from any one of the instruments (KuPR, KaPR, and GMI). By using data from multiple instruments, further constraints on the solution of precipitation structure improve the final product. ABSTRACTThe purpose of 3CMB is to give a daily and monthly accumulation of the 2BCMB precipitation product. The 3CMB product is a daily and monthly accumulation of the 2BCMB orbital combined product at two grid sizes, 5 x 5 degrees (G1) and 0.25 x 0.25 degrees (G2). Grid G1 contains the following physical measurements of general interest, among others. Grid G2 contains the same groups, but it is on the ltH x lnH grid and does not have the surface type (st) dimension or the histograms (see dimension definitions below). Below, conditional products represent means based upon precipitating areas only; unconditional products represent means for raining and non-raining areas combined. Probabilities represent the number of raining observations divided by the total number of raining and non-raining observations. precipTotRate (Group in G1) – Conditional mean rate for all precipitation phases (ice, liquid, mixed-phase). • count (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st): Count. • mean (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Mean, mm/h. • stdev (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Standard deviation for the monthly product. Mean of squares for the daily product, mm/h. • hist (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st x bin): Histogram. precipLiqRate (Group in G1) – Conditional mean rate for liquid precipitation. • count (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st): Count. • mean (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Mean, mm/h. • stdev (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Standard deviation for the monthly product. Mean of squares for the daily product, mm/h. • hist (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st x bin): Histogram. precipTotWaterContent (Group in G1) – Conditional mean water content for all precipitation phases. • count (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st): Count. • mean (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Mean, g/m3. • stdev (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Standard deviation for the monthly product. Mean of squares for the daily product, g/m3. • hist (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st x bin): Histogram. precipLiqWaterContent (Group in G1) – Conditional mean liquid water content. • count (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st): Count. • mean (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Mean, g/m3. • stdev (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Standard deviation for the monthly product. Mean of squares for the daily product, g/m3. • hist (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st x bin): Histogram. precipTotDm (Group in G1) – Conditional mass-weighted mean particle diameter. • count (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st): Count. • mean (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Mean, mm. • stdev (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Standard deviation for the monthly product. Mean of squares for the daily product, mm. • hist (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st x bin): Histogram. precipTotRateDiurnal (Group in G1) – Conditional mean total surface precipitation rate indexed by local time. • count (4-byte integer, array size: ltL x lnL x ns x st x tim): Count. • mean (4-byte float, array size: ltL x lnL x ns x st x tim): Mean, mm/h. • stdev (4-byte float, array size: ltL x lnL x ns x st x tim): Standard deviation for the monthly product. Mean of squares for the daily product, mm/h. surfPrecipTotRateDiurnalAllObs (4-byte integer, array size: ltL x lnL x ns x st x tim): Number of ...
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GPM, DPR, GMI Level 3 Combined Precipitation V03
nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:03:53.000ZThere are uncertainties in the interpretation of data from any one of the instruments (KuPR, KaPR, and GMI). By using data from multiple instruments, further constraints on the solution of precipitation structure improve the final product.The purpose of 3CMB is to give a daily and monthly accumulation of the 2BCMB precipitation product. The 3CMB product is a daily and monthly accumulation of the 2BCMB orbital combined product at two grid sizes, 5 x 5 degrees (G1) and 0.25 x 0.25 degrees (G2). Grid G1 contains the following physical measurements of general interest, among others. Grid G2 contains the same groups, but it is on the ltH x lnH grid and does not have the surface type (st) dimension or the histograms (see dimension definitions below). Below, conditional products represent means based upon precipitating areas only; unconditional products represent means for raining and non-raining areas combined. Probabilities represent the number of raining observations divided by the total number of raining and non-raining observations. precipTotRate (Group in G1)- Conditional mean rate for all precipitation phases (ice, liquid, mixed-phase). * count (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st): Count. * mean (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Mean, mm/h. * stdev (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Standard deviation for the monthly product. Mean of squares for the daily product, mm/h. * hist (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st x bin): Histogram. precipLiqRate (Group in G1) - Conditional mean rate for liquid precipitation. * count (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st): Count. * mean (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Mean, mm/h. * stdev (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Standard deviation for the monthly product. Mean of squares for the daily product, mm/h. * hist (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st x bin): Histogram. precipTotWaterContent (Group in G1) - Conditional mean water content for all precipitation phases. * count (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st): Count. * mean (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Mean, g/m3. * stdev (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Standard deviation for the monthly product. Mean of squares for the daily product, g/m3. * hist (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st x bin): Histogram. precipLiqWaterContent (Group in G1) - Conditional mean liquid water content. * count (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st): Count. * mean (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Mean, g/m3. * stdev (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Standard deviation for the monthly product. Mean of squares for the daily product, g/m3. * hist (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st x bin): Histogram. precipTotDm (Group in G1) - Conditional mass-weighted mean particle diameter. * count (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st): Count. * mean (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Mean, mm. * stdev (4-byte float, array size: ltL x lnL x ns x hgt x rt x st): Standard deviation for the monthly product. Mean of squares for the daily product, mm. * hist (4-byte integer, array size: ltL x lnL x ns x hgt x rt x st x bin): Histogram. precipTotRateDiurnal (Group in G1) - Conditional mean total surface precipitation rate indexed by local time. * count (4-byte integer, array size: ltL x lnL x ns x st x tim): Count. * mean (4-byte float, array size: ltL x lnL x ns x st x tim): Mean, mm/h. * stdev (4-byte float, array size: ltL x lnL x ns x st x tim): Standard deviation for the monthly product. Mean of squares for the daily product, mm/h. surfPrecipTotRateDiurnalAllObs (4-byte integer, array size: ltL x lnL x ns x st x tim): Number of total observa...
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Development of X-ray Computed Tomography (CT) Imaging Method for the Measurement of Complex 3D Ice Shapes Project
nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:33:58.000ZWhen ice accretes on a wing or other aerodynamic surface, it can produce extremely complex shapes. These are comprised of well-known shapes such as horns and feathers but also include other shapes such as the scallops that are associated with swept wing icing. The development of the larger ice shapes is generally believed to be influenced or built up from smaller scale surface structures such as roughness elements which can grow into the precursors of feathers or scallops seen on larger swept wing ice accretions. Feathers and scallops are often comprised of complex interlocking geometries that can contain a large number of voids. Hence it is important to characterize the geometries of these ice shapes, not only to ensure an adequate representation of the geometry for subsequent aerodynamic effects studies but also to provide data to validate icing codes, understand the basic physics involved with the ice accretion, and provide a basis for modeling the ice accretion. To address the above issue, we propose to use an X-ray computed tomography (CT) imaging method to demonstrate that X-ray CT scanning can be used to measure 3D ice features of the form seen in aircraft ice accretions. We also propose to conduct a preliminary trade/design analysis to establish directions for a more detailed Phase II study that would address specific recommendations to integrate X-ray CT imaging with icing wind tunnels which can be used at NASA Glenn and commercial aerospace companies. It is anticipated that the proposed imaging method could provide a radically new way to visualize and characterize extremely complex 3D ice shapes.