- API data.nasa.gov | Last Updated 2019-12-12T23:50:21.000Z
CAL_LID_L2_VFM-ValStage1-V3-01 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 2 Vertical Feature Mask data. The Lidar Level 2 Vertical Feature Mask data product describes the vertical and horizontal distribution of cloud and aerosol layers observed by the CALIPSO lidar. Cloud and aerosol discrimination for detected features is reported as a single value, the CAD_Score. Version 3.01 of the Lidar Level 2 data products major code and algorithm improvements include:-the elimination of a vicious, vile, and pernicious bug in the cloud clearing code that caused a substantial overestimate of low cloud fraction in earlier data releases (details given in Vaughan et al., 2010); -enhancements to the cloud-aerosol discrimination algorithm that increase the number of diagnostic parameters used to make classification decisions (details given in Liu et al., 2010); -improved daytime calibration procedures, resulting in more accurate estimates of layer spatial and optical properties (details given in Powell et al., 2010); and -an entirely new algorithm for assessing cloud thermodynamic phase (details given in Hu et al., 2009). Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES.
- API data.nasa.gov | Last Updated 2020-01-29T01:59:10.000Z
Triton Systems, Inc. (Triton) proposes to develop a cost-effective manufacturing approach to fabricate combustion chambers for a rocket technology demonstrator engine. The proposed manufacturing process combines Triton's success in fabricating high strength, ductile, discontinuous fiber reinforced aluminum (FRA) composites and rapid prototyping techniques used in the aluminum casting industry. The ability to insert Triton's FRA technology into boost and orbit transfer components supports critical propulsion goals by improving the thrust-to-weight ratio and reducing hardware costs. Significant weight savings will be achieved with Triton's lightweight FRA technology compared to the current nickel superalloy. Hardware costs savings are anticipated with the use of a proven, affordable and high quality casting process to fabricate FRA materials. An added benefit is the ability to incorporate design changes for improved efficiency and/or research and development efforts.
NASA Energy and Water cycle Study (NEWS) Monthly Climatology of the 1st decade of the 21st Century V1.0 (NEWS_WEB_MCLIM) at GES DISCdata.nasa.gov | Last Updated 2019-12-13T00:23:33.000Z
NASA Energy and Water cycle Study (NEWS) Climatology of the 1st decade of the 21st Century Dataset summarizes the original observationally-based mean fluxes of water and energy budget components during the first decade of the 21st Century, for each continent and ocean basin on monthly and annual scales as well as means over all oceans, all continents, and the globe. A careful accounting of uncertainty in the estimates is included. Also, it includes optimized versions of all component fluxes that simultaneously satisfy energy and water cycle balance constraints. The NEWS Climatology contains two data products: an annual climatology data product and a monthly climatology data product. This data product is the monthly climatology product. The climatology base period is roughly 1998-2010, where individual datasets cover various periods starting as early as 1998 and as late as 2002, not all extending to 2010. The continents and ocean basins boundaries map is used in this study to compute regional means. The ocean basin data was provided by Kyle Hilburn and Chelle Gentemann at Remote Sensing Systems. The land portion and some inland water bodies of the data are delineated into continents according to general definitions found in Wikipedia and relevant past studies. The data are distributed with four different units (1000 km^3/month, W/m^2, cm/month, and mm/day), in three formats (NetCDF, xlsx, and csv).
- API data.nasa.gov | Last Updated 2020-01-29T03:59:23.000Z
Electrically Variable Compact Optical Remote Imaging Spectroscopic Filter, Phase I
- API data.nasa.gov | Last Updated 2020-01-29T04:52:46.000Z
By the end of this year, we intend to have a two inch diameter, operational test article which continuously generates a symmetric plasma discharge. We intend to ensure this symmetry by adding a magnet to the original one inch diameter design which was used to demonstrate this shock wave attenuation effect in an earlier wind tunnel test. We will be testing a slightly larger model in order to better instrument the test article. This larger model will also add to our understanding of how the size of the model affects the amount of power needed to attenuate the shock waves. We also intend to demonstrate that the discharge from this new model significantly attenuates any shock waves generated at flight relevant conditions in a supersonic wind tunnel. The next step after this year is to mount this test article to the "Big Red" flight test fixture underneath a NASA F15, fly at Mach 1.6 at 31kft, 32kft and 33kft and possibly Mach 1.8 at 33kft. And use AirBOS to image the shockwaves coming off of the model with plasma on and plasma off.
- API data.nasa.gov | Last Updated 2019-12-13T00:02:22.000Z
MODIS (or Moderate Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (EOS AM) and Aqua (EOS PM) satellites. Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning, while Aqua passes south to north over the equator in the afternoon. Terra MODIS and Aqua MODIS are viewing the entire Earth's surface every 1 to 2 days, acquiring data in 36 spectral bands, or groups of wavelengths (see MODIS Technical Specifications). These data will improve our understanding of global dynamics and processes occurring on the land, in the oceans, and in the lower atmosphere. MODIS is playing a vital role in the development of validated, global, interactive Earth system models able to predict global change accurately enough to assist policy makers in making sound decisions concerning the protection of our environment.
- API data.nasa.gov | Last Updated 2020-01-29T02:14:06.000Z
<p>Analog probability processing technology has the ability to provide game-changing performance advances and power savings for on-board data processing applications. Evaluate space environment radiation performance of Analog Devices Lyric Labs' analog probability processing technology. Develop preliminary architecture concepts for demonstration experiments using pre-existing designs, such as forward error correction or fast Fourier transform application-specific integrated circuits (ASICs). The collaboration with Analog Devices Lyric Labs was enabled via interactions with the Defense Advanced Research Projects Agency (DARPA). Analog Devices Lyric Labs was formerly Lyric Semiconductor before being acquired by Analog Devices, Inc. in the summer of 2011.<br /> </p> <p>We will perform lab bench evaluations using Analog Devices Lyric Labs evaluation hardware as well as the NASA/GSFC Radiation Effects and Analysis Group field-programmable gate array (FPGA)-based low-cost digital tester. The evaluation hardware will be used to inform spaceflight hardware design decisions. The Analog Devices Lyric Labs probability processing technologies are fabricated in commonly-available commercial complementary metal oxide semiconductor (CMOS) processes. Part of this project will also be to interface with other technology developers and scientists, both inside and outside of NASA/GSFC. Analog probability processing is enough of a paradigm shift that the end-user applications may not be known a priori and may either be based on insertion into pre-existing functions or development of new capabilities that could not be realized with existing hardware. The probability processing hardware utilized for this project is the property of Analog Devices Lyric Labs and was developed under a Defense Advanced Research Projects Agency (DARPA) contract. There is currently follow-on work at DARPA under the Unconventional Processing of Signals for Intelligent Data Exploitation (UPSIDE) program.<br /> </p>
- API data.nasa.gov | Last Updated 2019-12-12T23:49:37.000Z
CAL_LID_L1-ValStage1-V3-30 data are Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) Lidar Level 1B profile data. The CALIPSO Lidar Level 1B data product contains a half orbit (day or night) of calibrated and geolocated single-shot (highest resolution) lidar profiles, including 532 nm and 1064 nm attenuated backscatter and depolarization ratio at 532 nm. The product released contains data from nominal science mode measurement. The CALIPSO Lidar Level 1B product also contains additional data not found in the Level 0 lidar input file, including post processed ephemeris data, celestial data, and converted payload status data. The science algorithms used to produce the V3.30 CALIOP data products are identical to those used to generate the V3.01 and V3.02 products; however, some of the ancillary data used in the v3.30 analyses is different. All CALIOP data products rely on meteorological data provided by NASA's Global Modeling and Assimilation Office (GMAO). The V3.01 and V3.02 data products were produced using the GMAO's GEOS 5.2 data products. Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) was launched on April 28, 2006 to study the impact of clouds and aerosols on the Earth's radiation budget and climate. It flies in the international A-Train (PDF) constellation for coincident Earth observations. The CALIPSO satellite comprises three instruments, the Cloud-Aerosol LIdar with Orthogonal Polarization (CALIOP), the Imaging Infrared Radiometer (IIR), and the Wide Field Camera (WFC). CALIPSO is a joint satellite mission between NASA and the French Agency, CNES.
Multisensor Advanced Climatology Mean Liquid Water Path L3 Monthly 1 degree X 1 degree V1 (MACLWP_mean) at GES DISCdata.nasa.gov | Last Updated 2019-12-13T00:23:30.000Z
The Multi-Sensor Advanced Climatology of Liquid Water Path (MAC-LWP) data set contains monthly 1.0-degree ocean-only estimates of cloud liquid water path (MACLWP_mean), total water path (MACTWP_mean) which includes both cloud and rain water, and monthly climatologies of cloud liquid water path diurnal cycle amplitudes and phases (MACLWP_diurnal). The MACTWP_mean field can also be used as a quality-control screen for the MACLWP_mean field as discussed in Elsaesser et al. (2017), where uncertainty increases as the ratio of cloud to total water path increases. The MAC-LWP algorithm uses as input the Remote Sensing Systems (RSS) Version 7 0.25 degree-resolution retrieval products (produced using the SSM/I, AMSR-E, TMI, AMSR-2, GMI, SSMIS, and WindSat satellite sensors), and performs a bias correction on all input RSS cloud water path products based on AMSR-E matchups to clear-sky MODIS scenes. The MAC-LWP algorithm ensures that spurious trends and variability in the cloud fields arising from drifting satellite overpass times are mitigated by simultaneously solving for the monthly average cloud and total water paths and monthly-mean diurnal cycles, as discussed in O’Dell et al. (2008). Additional details on the algorithm and data fields can be found in Elsaesser et al. (2017).
- API data.nasa.gov | Last Updated 2020-01-29T01:56:16.000Z
Dropsondes are one of the primary in-situ measurement tools available to research aircraft and Unmanned Aerial Vehicles (UAVs). Unlike sensors mounted on aircraft, dropsondes allow a vertical profile of the atmosphere to be taken below the aircraft. A guided dropsonde which could glide away from the launch aircraft will allow profiles to be taken away from the aircraft flight path, and would offer aircraft the ability to deploy dropsondes into dangerous environments, such as thunderstorms and volcanic plumes, where few aircraft are able to safely venture. Anasphere, Inc., in cooperation with Vanilla Aircraft, Inc., proposes to develop a guided dropsonde to meet this need. This dropsonde will be designed as a lifting body. It will build upon an existing miniature dropsonde developed by Anasphere, have essentially no moving parts, retain the ability to return wind profiles along with accurate meteorological data, and have sufficient speed to penetrate moderate headwinds. Phase I work will include designing and prototyping the aerodynamic form, integrating essential guidance electronics, and conducting extensive glide tests. Phase II work will include the integration of complete sensor, guidance, and communications payloads, refinement of the aerodynamic form, and extensive live flight tests from high altitude.