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Northern Hemisphere EASE-Grid 2.0 Weekly Snow Cover and Sea Ice Extent
nasa-test-0.demo.socrata.com | Last Updated 2015-07-19T09:14:22.000ZThe Northern Hemisphere EASE-Grid 2.0 Weekly Snow Cover and Sea Ice Extent Version 4 product combine snow cover and sea ice extent at weekly intervals from 23 October 1978 through 29 June 2014, and snow cover alone from 03 October 1966 through 29 June 2014. Snow cover extent for this data set is based on the NOAA/NCDC Climate Data Record (CDR) of Northern Hemisphere (NH) Snow Cover Extent (SCE) by D. Robinson (2012) and regridded to the EASE-Grid. The NOAA/NCDC CDR of Northern Hemisphere Snow Cover Extent data were derived from the manual interpretation of AVHRR, GOES, and other visible-band satellite data (Helfrich et al. 2007). Sea ice extent is regridded to EASE-Grid from Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data. Designed to facilitate study of Northern Hemisphere seasonal fluctuations of snow cover and sea ice extent, the data set also includes monthly climatologies describing average extent, probability of occurrence, and variance. Data are provided in flat, unsigned binary files and are available via FTP.
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Nimbus-7 SMMR Derived Monthly Global Snow Cover and Snow Depth
nasa-test-0.demo.socrata.com | Last Updated 2015-07-19T09:14:15.000ZThe data set consists of monthly global snow cover and snow depth derived from Nimbus-7 SMMR data for 1978 through 1987. The SMMR data are interpolated for spatial and temporal gaps, and averaged for display in polar stereographic projection. Maps are based on six-day average brightness temperature data from the middle week of each month. Data are placed into 1/2 degree latitude by 1/2 degree longitude grid cells uniformly subdividing a polar stereographic map according to the geographic coordinates of the center of the radiometers' fields of view. Overlapping data from separate orbits in the same six-day period are averaged to give a single brightness temperature assumed to be at the cell's center. Oceans and bays are masked so that only microwave data for land areas are displayed. Comparisons of SMMR snow cover maps with previous maps produced by NOAA/NESDIS and US Air Force Global Weather Center indicate that the total snow covered area derived from SMMR is usually about ten percent less than that measured by the earlier products, because passive microwave sensors often can't detect shallow dry snow less than about 5 cm deep. Snow depths are comparable, showing SMMR results to be especially good for uniform snow covered areas such as the Canadian high plains and Russian steppes. Heavily forested and mountainous areas tend to mask the microwave snow signatures, and SMMR snow depth derivations are less reliable in those areas. Formerly distributed by NASA/GSFC/NSSDC and NASA Pilot Land Data System (PLDS), these data are now available via ftp from NSIDC.
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CLPX-Ground: Ground Based Passive Microwave Radiometer (GBMR-7) Data
nasa-test-0.demo.socrata.com | Last Updated 2015-07-19T09:10:20.000ZThis data set contains brightness temperature observations of the snow cover at the Local Scale Observation Site (LSOS) of the Cold Land Processes Field Experiment (CLPX) in Fraser, Colorado, USA. Measurements were taken at 18.7, 23.8, 36.5, and 89 GHz (vertical/horizontal polarization) using a ground-based passive microwave radiometer (GBMR-7). Three different measurement techniques were used: 1) scans of undisturbed total snow cover, 2) angular scans with varying incidence angles (30 to 70 degrees), and 3) scans of bare soil and new snow accumulation. In addition to observed snow brightness temperatures, the data set includes snow pit characteristics (density, snow temperature, stratigraphy, snow crystal size, soil moisture) and meteorological forcing data observations (wind speed, wind direction, air temperature, relative humidity, downward long-wave radiation, downward short-wave radiation and precipitation). Snow cover brightness measurements were made 19-21 January 2002, 10-13 December 2002, 18-26 February 2003 and 25 March 2003. Snow pit and meteorological measurements were made between 1 October 2002 and 29 March 2003. The NASA CLPX is a multi-sensor, multi-scale experiment that focuses on extending a local-scale understanding of water fluxes, storage, and transformations to regional and global scales. Within a framework of nested study areas in the central Rocky Mountains of the western United States, ranging from 1-ha to 160,000 km<sup>2</sup>, intensive ground, airborne, and spaceborne observations are collected. Data collection focuses on two seasons: mid-winter, when conditions are generally frozen and dry, and early spring, a transitional period when both frozen and thawed, dry and wet conditions are widespread.
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Snow Data Assimilation System (SNODAS) Data Products at NSIDC
nasa-test-0.demo.socrata.com | Last Updated 2015-07-19T09:18:49.000Z<p class="newsdate">Notice: If you are having difficulties subsetting SNODAS data via Polaris, please contact <a href="mailto:nsidc@nsidc.org">nsidc@nsidc.org</a>.</p> This data set contains output from the NOAA National Weather Service's National Operational Hydrologic Remote Sensing Center (NOHRSC) SNOw Data Assimilation System (SNODAS). SNODAS is a modeling and data assimilation system developed by NOHRSC to provide the best possible estimates of snow cover and associated parameters to support hydrologic modeling and analysis. The aim of SNODAS is to provide a physically consistent framework to integrate snow data from satellite, airborne platforms, and ground stations with model estimates of snow cover (Carroll et al. 2001). SNODAS includes procedures to ingest and downscale output from the Numerical Weather Prediction (NWP) models, and to simulate snowcover using a physically based, spatially-distributed energy- and mass-balance snow model. SNODAS also includes procedures to assimilate satellite-derived, airborne, and ground-based observations of snow covered area and Snow Water Equivalent (SWE). These data are not suitable for snow fall events or totals for specific regions. For snow fall data, please see the state climatology reports for a particular state. These are gridded data sets for the continental United States at 1 km spatial resolution and 24 hour temporal resolution. Data are stored in flat binary 16-bit signed integer big-endian format with header and metadata files, and are available from 1 October 2003 to present via FTP.
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Nimbus-7 SMMR Derived Monthly Global Snow Cover and Snow Depth
nasa-test-0.demo.socrata.com | Last Updated 2015-07-19T09:14:13.000ZThe data set consists of monthly global snow cover and snow depth derived from Nimbus-7 SMMR data for 1978 through 1987. The SMMR data are interpolated for spatial and temporal gaps, and averaged for display in polar stereographic projection. Maps are based on six-day average brightness temperature data from the middle week of each month. Data are placed into 1/2 degree latitude by 1/2 degree longitude grid cells uniformly subdividing a polar stereographic map according to the geographic coordinates of the center of the radiometers' fields of view. Overlapping data from separate orbits in the same six-day period are averaged to give a single brightness temperature assumed to be at the cell's center. Oceans and bays are masked so that only microwave data for land areas are displayed. Comparisons of SMMR snow cover maps with previous maps produced by NOAA/NESDIS and US Air Force Global Weather Center indicate that the total snow covered area derived from SMMR is usually about ten percent less than that measured by the earlier products, because passive microwave sensors often can't detect shallow dry snow less than about 5 cm deep. Snow depths are comparable, showing SMMR results to be especially good for uniform snow covered areas such as the Canadian high plains and Russian steppes. Heavily forested and mountainous areas tend to mask the microwave snow signatures, and SMMR snow depth derivations are less reliable in those areas. Formerly distributed by NASA/GSFC/NSSDC and NASA Pilot Land Data System (PLDS), these data are now available via ftp from NSIDC.
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A GIS Software Toolkit for Monitoring Areal Snow Cover and Producing Daily Hydrologic Forecasts using NASA Satellite Imagery Project
nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:22:35.000ZAniuk Consulting, LLC, proposes to create a GIS software toolkit for monitoring areal snow cover extent and producing streamflow forecasts. This toolkit will be packaged as multiple extensions for ArcGIS 9.2 and provides users with a means for easily ingesting NASA EOS satellite images (for snow cover analysis), preparing hydrologic model inputs, and visualizing streamflow forecasts. Primary products include: a technique for predicting the presence of snow under clouds in satellite images; a software tool for producing gridded temperature and precipitation forecasts; and a suite of tools for visualizing hydrologic model inputs and results. The toolkit will be an expert system designed for operational users that need to generate numerous streamflow forecasts accurately and in a timely-fashion without having to hassle with the science and physics behind the hydrologic model. This proposal targets the "Data Analyzing and Processing" research initiative announced by the Goddard Space Flight Center by exploiting spatial tools in order to increase the utility of scientific research data, models, and visualizations. The beauty of the proposed toolkit is the ability to incorporate hydrologically relevant spatial datasets at the applied, operational level to produce high quality functional products.
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Innovative Structural and Material Concepts for Low-Weight Low-Drag Aircraft Design Project
nasa-test-0.demo.socrata.com | Last Updated 2015-07-20T05:34:29.000ZThe overall technical objective of this multi-phase project is to develop and validate a so-called 'AAW-Process' that consists of (i) the Active Aeroelastic Wing (AAW) technology of employing multiple control surfaces in tandem for achieving loads alleviation and drag minimization using the over-determined trim capability of ZONA Euler Unsteady Solver (ZEUS), and (ii) the aeroelastic tailoring technique for optimum stiffness distribution and weight minimization while satisfying structural design constraints using ZONA's Automated STRuctural Optimization System (ASTROS). The technical objectives specific to Phase II effort are twofold: (1) Analytically design the four Subsonic Ultra Green Aircraft Research (SUGAR) wind-tunnel models that employ Distributed Multiple Control Surfaces (DMCS) and Variable Camber Continuous Trailing Edge Flap (VCCTEF) to achieve the weight and drag benefits, and (2) Fabrication of one of these four designed models to validate the AAW-process experimentally by a future wind tunnel testing. As per the first specific objective, four wind tunnel models will be designed for high speed Transonic Dynamic Tunnel (TDT) testing along with their detailed fabrication and wind tunnel testing plans. These four models are carefully chosen to incrementally demonstrate the benefits of applying AAW technology and aeroelastic tailoring technique by potential future fabrication and wind tunnel tests. As per the second specific objective, the fabricated wind tunnel model will be delivered to NASA along with its target performance improvement predicted by AAW-process for validation with a near-term wind tunnel testing. In order to ensure the safety of the wind tunnel models during the TDT testing, flutter suppression and gust load alleviation controllers will be designed for those models that are not aeroelastically tailored and have analytically displayed potential flutter instability problems.
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CLPX-Ground: ISA Snow Pit Measurements
nasa-test-0.demo.socrata.com | Last Updated 2015-07-19T09:10:39.000ZThis data set consists of snow pit data from nine study areas, within three larger-scale areas in northern Colorado (Fraser, North Park, and Rabbit Ears Meso-cell Study Areas (MSAs)). The study areas range from low-relief (flat topography) unforested areas with shallow snow covers, to high-relief (complex topography) densely forested areas with deep snow covers. Parameters measured include snow density, snow temperature, snow stratigraphy, and snow grain size. Data were collected during February and March 2002 and 2003. This data set is part of the NASA Cold Land Processes Field Experiment (CLPX).
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BOREAS HYD-03 Snow Temperature Profiles
nasa-test-0.demo.socrata.com | Last Updated 2015-07-19T07:33:56.000ZThis is a snow temperature table for HYD03. The snow temperature is given for various snow heights at various sites.
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BOREAS HYD-03 Snow Water Equivalent: 1996
nasa-test-0.demo.socrata.com | Last Updated 2015-07-19T07:34:04.000ZABSTRACT: Contains the snow water equivalent, snow_depth, and snow density measurements made by HYD-3 with the Canadian snow sampler in 1996.