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NLDAS VIC Land Surface Model L4 Monthly Climatology 0.125 x 0.125 degree V002
nasa-test-0.demo.socrata.com | Last Updated 2015-07-19T08:29:26.000ZAbstract: This data set contains a series of land surface parameters simulated from the VIC land-surface model (LSM) for Phase 2 of the North American Land Data Assimilation System (NLDAS-2). The data are in 1/8th degree grid spacing. The temporal resolution is monthly, ranging from January to December. The file format is WMO GRIB-1. The NLDAS-2 monthly climatology data are the monthly data averaged over the thirty years (1980-2009) of the NLDAS-2 monthly data. Brief description about the NLDAS-2 hourly and monthly VIC LSM data can be found from the GCMD DIFs for GES_DISC_NLDAS_VIC0125_H_V002 and GES_DISC_NLDAS_VIC0125_M_V002 at http://gcmd.gsfc.nasa.gov/getdif.htm?GES_DISC_NLDAS_VIC0125_H_V002 and http://gcmd.gsfc.nasa.gov/getdif.htm?GES_DISC_NLDAS_VIC0125_M_V002. Details about the NLDAS-2 configuration of the VIC LSM can be found in Xia et al. (2012). The version of the VIC model for the NLDAS-2 VIC data available from the NASA GES DISC is VIC-4.0.3; this version of the VIC model is the same as used in Sheffield et al. (2003). The NLDAS-2 VIC monthly climatology data contain forty-three fields. The data set applies a user-defined parameter table to indicate the contents and parameter number. The GRIBTAB file (http://disc.sci.gsfc.nasa.gov/hydrology/grib_tabs/gribtab_NLDAS_VIC.002.txt) shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units. For information about the vertical layers of the Soil Moisture Content (PDS 086), Soil Temperature (PDS 085), and Liquid Soil Moisture Content (PDS 151), please see the README Document at ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/NLDAS/README.NLDAS2.pdf or the GrADS ctl file at ftp://hydro1.sci.gsfc.nasa.gov/data/gds/NLDAS/NLDAS_VIC0125_MC.002.ctl.
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NLDAS Forcing Data L4 Monthly 0.125 x 0.125 degree V001
nasa-test-0.demo.socrata.com | Last Updated 2015-07-19T08:29:14.000ZThis data set contains the forcing data for Phase 1 of the North American Land Data Assimilation System (NLDAS-1). The data are in 1/8th degree grid spacing and range from Aug. 1996 to Dec. 2007. The temporal resolution is monthly. The file format is WMO GRIB-1. The NLDAS-1 monthly forcing data, containing 17 variables, are generated from the NLDAS-1 hourly forcing data. Brief description about the NLDAS-1 hourly forcing data can be found from the GCMD DIF for GES_DISC_NLDAS_FOR0125_H_V001 at http://gcmd.gsfc.nasa.gov/getdif.htm?GES_DISC_NLDAS_FOR0125_H_V001. The data set applies a user-defined parameter table to indicate the contents and parameter number. The GRIBTAB file (http://disc.sci.gsfc.nasa.gov/hydrology/grib_tabs/gribtab_NLDAS_FOR_monthly.001.txt) shows a list of parameters for this data set, along with their Product Definition Section (PDS) IDs and units. The variables, DLWRFsfc, DSWRFsfc, PRESsfc, SPFH2m, TMP2m, UGRD10m, and VGRD10m, are the monthly average from 00Z01 of month to 23:59Zlastdayofmonth. The variables, BRTMPsfc and CAPEsfc, are the monthly average from 00Z01 of month to 23:59Zlastdayofmonth, except if any hour has an undefined value of -9999, then do not include the hour in the monthly average. The variables, PARsfc and RGOESsfc, are the monthly average from 00Z01 of month to 23:59Zlastdayofmonth, except if any hour has an undefined value of -9999, then reassign the variable as zero and include the hour in the monthly average. The variables, ACPCPsfc, APCPsfc, PEDASsfc, and PRDARsfc, are the monthly accumulation from 00Z01 of month to 23:59Zlastdayofmonth. However, the ACPCPsfc is actually the sum of the (ACPCPsfc/PEDASsfc)*APCPsfc from each hour, where the ratio of (ACPCPsfc/PEDASsfc) is the fraction of convective precipitation from EDAS, and then multiplied by the APCPsfc to get the convective precipitation. For PRDARsfc accumulation, if hourly PRDARsfc is undefined or negative, fill the hour with a zero value. The last variable, RSWRFsfc, is the monthly average from 00Z01 of month to 23:59Zlastdayofmonth, except represents the monthly average of the hourly "blend" of the DSWRFsfc from EDAS and RGOESsfc from GEOS. The blend algorithm is that, for each hour, the RGOESsfc from GEOS is used for all the grid points where it is available, but for where it is not available, the DSWRFsfc from EDAS is used. Because the spatial extent/availability of GEOS varies from hour to hour, this blend is done for hourly data first, and then the monthly average is applied to the hourly blended data. This last variable thus best represents the shortwave radiation flux downwards at the surface that is used in the NLDAS-1 LSMs. More about this blending/supplementation can be found from http://ldas.gsfc.nasa.gov/nldas/NLDAS1forcing.php. For more information, please see the README Document at ftp://hydro1.sci.gsfc.nasa.gov/data/s4pa/NLDAS/README.NLDAS1.pdf.
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Integrated System Management and Reconfigurable Control Project
nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:43:36.000ZThe team proposes to develop an onboard, real-time health management capability that monitors a flight control system (for spacecraft, fixed or rotary wing aircraft) in a highly dynamic environment and responds to anomalies with suggested recovery or mitigation actions. The goal of the proposed capability is to take system/component level health status information and aggregate this information across all channels and subsystems to the flight control system for anomaly mitigation, failure accommodation, and control re-configuration, based on mission objectives. In Phase I, the research will be focused on a preliminary design of the component-to-system health capability correlation and the anomaly mitigation strategy. In Phase II, the team will conduct a prototype demonstration for a relevant space vehicle as the target application.
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Nanotube Electrodes for Dust Mitigation Project
nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:11:57.000ZDust mitigation is critical to the survivability of vehicle and infrastructure components and systems and to the safety of astronauts during EVAs and planetary surface operations. By coupling Eikos Invisicon<SUP>REG</SUP> nanocomposite conductors with existing dust mitigation Dust Shield technology developed at NASA-KSC, the Phase I program demonstrated an enabling approach to producing electrodynamic dust mitigation devices on a wide variety of surfaces not possible with traditional metal based electrode materials. Eikos reproduced proven NASA spiral electrodes using Invisicon<SUP>REG</SUP> patterned onto transparent plastics, Tyvek<SUP>REG</SUP> fabric, and silicone rubber sheets; employing inkjet and spray deposition methods, two CNT ink formulations, and four dielectric binders to create working devices. These Invisicon<SUP>REG</SUP>-based devices are far more flexible then traditional devices and exhibit superior durability to abrasion, elongation, and thermal cycling. A dust mitigation system utilizing this technology has broad value to many NASA mission directorates and terrestrial commercial applications. The Phase II project will build on these successes and integrate the electrode into larger surfaces, and more complex components. Further, extensive dust mitigation, and both environmental and mechanical testing, will be conducted to position this electrode technology for insertion into windows, fabrics, and elastomeric components in space and terrestrial applications.
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CogGauge Project
nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:22:36.000ZCog-Gauge is a portable hand-held game that can be used by astronauts and crew members during space exploration missions to assess their cognitive workload decrements that possibly result from fatigue, stress, or neurocognitive deficits. Cog-Gauge combines behavioral workload assessment using a dual-task approach with predictive workload models to counter the effects of game learning. The game will be built using an iterative usability driven approach where emphasis will be placed on building an engaging relevant game that builds from contextual task analysis and user profiling. The specific technical challenges foreseen are integrating two approaches of cognitive workload modeling, and using learning curves to model game learning, then using algorithms to determine a user's workload as soon as they complete a timed interaction with the game. Specific questions to address pertain to feasibility of proposed solution and hardware/software requirements.
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TRMM Microwave Imager (TMI) Level 3 Monthly 0.5 degree x 0.5 degree Profiling V6 (3A12) at GES DISC V6
nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T04:52:47.000ZThis document provides basic information on 3A12, TMI Monthly 0.5 deg. x 0.5 deg. Profiling. Algorithm 3A12 produces global 0.5 deg. x 0.5 deg. monthly gridded means using 2A12 data. Vertical hydrometeor profiles and surface rainfall means are computed. Various pixel counts are also reported. The granule size is one month.This document provides basic information on 3A12, TMI Monthly 0.5 deg. x 0.5 deg. Profiling. Algorithm 3A12 produces global 0.5 deg. x 0.5 deg. monthly gridded means using 2A12 data. Vertical hydrometeor profiles and surface rainfall means are computed. Various pixel counts are also reported. The granule size is one month. The average operating altitude for TRMM was changed from 350 to 403 km during the period of August 7-24, 2001. This orbit boost maneuver extended the mission life significantly. All post-boost data products had been released by the TRMM Science Project, as of early December 2001. All TRMM data products (post- and pre-boost) are available via the TRMM data search-and-order system at http://mirador.gsfc.nasa.gov/cgi-bin/mirador/presentNavigation.pl?tree=project&project=TRMM . The time period before August 7, 2001 is referred to as pre-boost, and the time period after August 24, 2001 is referred to as post-boost. [Summary provided by the GES-DISC DAAC]
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Blocking Filters with Enhanced Throughput for X-Ray Microcalorimetry Project
nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:24:13.000ZX-ray microcalorimeters have developed to provide unprecedented energy resolution and signal sensitivity. To take maximum advantage of the microcalorimeter's performance, a new and improved blocking filter stack is needed to further enhance low level sensitivity and mission throughput. The innovation proposed, high transmission polyimide support mesh fabricated using photolithography, will replace the nickel mesh used in previous blocking filter designs. The proposed mesh will be thinner than known comparable supports and will be produced freestanding such that it can be readily combined with filter foils of all types. The polyimide mesh will demonstrate at least 10% higher transmission than nickel at all energies, and will become essentially transparent above 3 keV. Mesh structures will be fabricated using three different photolithographic processes and compared both freestanding and in combination with filter foils to determine feasibility. The proposed innovation along with thinner materials will improve mission throughput and effective area significantly for microcalorimeter payloads on proposed Small Explorer missions, NeXT, and Spectrum-X-Gamma in the near term as well as Constellation ?X.
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TRMM Microwave Imager (TMI) Level 3 Monthly 0.5 degree x 0.5 degree Profiling V7 (3A12) at GES DISC V7
nasa-test-0.demo.socrata.com | Last Updated 2015-07-19T08:53:10.000ZThis document provides basic information on 3A12, TMI Monthly 0.5 deg. x 0.5 deg. Profiling. Algorithm 3A12 produces global 0.5 deg. x 0.5 deg. monthly gridded means using 2A12 data. Vertical hydrometeor profiles and surface rainfall means are computed. Various pixel counts are also reported. The granule size is one month.This document provides basic information on 3A12, TMI Monthly 0.5 deg. x 0.5 deg. Profiling. Algorithm 3A12 produces global 0.5 deg. x 0.5 deg. monthly gridded means using 2A12 data. Vertical hydrometeor profiles and surface rainfall means are computed. Various pixel counts are also reported. The granule size is one month. The average operating altitude for TRMM was changed from 350 to 403 km during the period of August 7-24, 2001. This orbit boost maneuver extended the mission life significantly. All post-boost data products had been released by the TRMM Science Project, as of early December 2001. All TRMM data products (post- and pre-boost) are available via the TRMM data search-and-order system at http://mirador.gsfc.nasa.gov/cgi-bin/mirador/presentNavigation.pl?tree=project&project=TRMM . The time period before August 7, 2001 is referred to as pre-boost, and the time period after August 24, 2001 is referred to as post-boost. [Summary provided by the GES-DISC DAAC]
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SAFARI 2000 Surface Atmospheric Radiative Transfer (SMART), Dry Season 2000
nasa-test-0.demo.socrata.com | Last Updated 2015-07-19T08:43:42.000ZSurface-sensing Measurements for Radiative Transfer (SMART) and Chemical, Optical, and Microphysical Measurements of In-situ Troposphere (COMMIT) consist of a suite of instruments that measure (both in-situ and by remote sensing) parameters that help to characterize, as completely as possible, constituents of the atmosphere at a given location. SMART and COMMIT are mobile systems that can be deployed to locations that exhibit interesting atmospheric phenomena. This allows investigators to participate in coordinated measurement campaigns, such as SAFARI 2000.The SMART instruments were deployed to the Skukuza Airport from August 15 to September 17, 2000 to take part in the SAFARI 2000 Dry Season Aircraft Campaign. The SMART-COMMIT mission is designed to pursue the following goals: Earth Observing System (EOS) validation; innovative investigations; and long-term atmospheric monitoring. The results reported in this data set are for the following instruments deployed and measurements recorded at the Skukuza Airport site within the Kruger National Park: several broadband radiometers, for global, diffuse, direct downward solar irradiance and global infrared downward irradiance; meteorological sensors, for surface air temperature, pressure, relative humidity, and wind; and a Solar Spectral Flux Radiometer (NASA Ames) for spectral solar downward irradiance.
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Deep Ultraviolet Macroporous Silicon Filters Project
nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:30:51.000ZThis SBIR Phase I proposal describes a novel method to make deep and far UV optical filters from macroporous silicon. This type of filter consists of an array of parallel, independent leaky waveguides made in the form of a free-standing, two-dimensionally ordered silicon structure with pore walls coated by a dielectric multilayer. The proposed filters offer unmatched levels of rejection within a very wide rejection band combined with a high level of transmission within the pass band that can be centered throughout the deep and far UV range. In addition, unlike common interference-based filters, the spectral position of the pass and rejection bands will not depend on the angle of incidence. The proposed filters will be light weight and may be manufactured cost-effectively in large quantities. In Phase I, it is proposed to demonstrate the feasibility of the method by fabricating pore structures with different pore wall coatings and measuring the transmission and other optical properties. In Phase II, optimized filters will be fabricated and their properties compared with design predictions. Phase III will involve product design, fabricating filter structures to meet customers' physical as well as optical needs, and marketing and sales investments.