- API data.nasa.gov | Last Updated 2020-01-29T04:17:08.000Z
We propose to develop a Multi-Element Lean Direct Injection, ME-LDI, Combustion concept with the following innovative features: 1. Independent, mini burning zones created by containing the flame in a cylinder downstream of each fuel injector/swirler element in a multiple fuel injector array, see figure 1. The independent burning zones will enable fuel staging the fuel injectors (turning off fuel to selected fuel injectors) to cover the operating cycle, such that at each point of the operating cycle the combustor will have high combustion efficiency (>99%) and low NOx emissions. At high power conditions the combustion efficiency should be greater than 99.9%. 2. A low flow number, "Butterfly" fuel injector will be incorporated into ME-LDI that is low cost and simple to manufacture but a highly effective atomizer. The term "Butterfly" derives from the butterfly shape of the spray. The shape of the spray is formed by two diametrically opposed slots cut through a closed end fuel tube, see figure 2. The fuel flow through each slot forms a fan spray. The slot width can be varied to control drop-sizes within the spray.
- API data.nasa.gov | Last Updated 2020-01-29T03:55:43.000Z
For this project Superior Graphite Co. (Chicago, IL, USA), the leading worldwide industrial carbon manufacturer and the only large scale battery grade graphitic carbon producer in the USA, will develop, explore the properties of, and demonstrate the enhanced capabilities of novel nanostructured SiLix-C anodes, capable of retaining high capacity at a rapid 2 hour discharge rate and at 0oC when used in Li-ion batteries. By thye end of Phase I we have demonstrated advanced anode materials with the specific capacity in excess of 1000 mAh/g, minimal irreversible capacity losses and stable performance for 20 cycles at C/1. We are confident that by the developing and applying a variety of novel nano-materials technologies, fine-tuning the properties of composite particles at the nanoscale, optimizing the composition of the anodes, and choosing appropriate binder and electrolytes we will be able to revolutionize Li-ion battery technology. In order to achieve such a breakthrough in power characteristics of Li-ion batteries, the team will develop new nanostructured SiLix-C anode materials to offer up to 1200 mAh/g at C/2 at 0oC and a long cycle life with less than 20% fading when cycled for 2000 cycles at C/2 at 0oC
OMI/Aura Nitrogen Dioxide (NO2) Total and Tropospheric Column 1-orbit L2 Swath 13x24 km V003 (OMNO2) at GES DISCdata.nasa.gov | Last Updated 2019-12-13T00:25:01.000Z
The Version 3 Aura Ozone Monitoring Instrument (OMI) Nitrogen Dioxide (NO2) Standard Product (OMNO2) is now available from the NASA Goddard Earth Sciences Data and Information Services Center. The major improvements include: (1) an improved spectral fitting algorithm for retrieving slant column densities, including the use of monthly mean solar spectral irradiances; (2) improved resolution (1 degree latitude and 1.25 degree longitude) a priori NO2 profiles from Global Modeling Initiative chemistry-transport model with yearly varying emissions. The improvements are described in the updated OMNO2 readme document (see Documentation). The OMNO2 contains slant column NO2 (total amount along the average optical path from the sun into the atmosphere, and then toward the satellite), the total NO2 vertical column density (VCD), the stratospheric and tropospheric VCDs, scattering weights, cloud radiative fraction and optical centroid pressure, and other ancillary data. The short name for this Level-2 OMI total column NO2 product is OMNO2. The algorithm leads for this product are NASA OMI scientist Dr. Nickolay A. Krotkov and KNMI Scientist Dr. Pepijn J. Veefkind. The OMNO2 files are stored in the version 5 EOS Hierarchical Data Format (HDF-EOS5). Each file contains data from the day lit portion of an orbit (~53 minutes). There are approximately 14 orbits per day. The maximum file size for the OMNO2 is ~23 MB.
- API data.nasa.gov | Last Updated 2020-03-05T22:47:42.000Z
CAL_LID_L2_05kmCPro-Prov-V3-40 data are CALIPSO Lidar Level 2 Cloud Profile data. The Lidar Level 2 Cloud Profile data product contains cloud profile data and ancillary data. The cloud profile product is produced at 5 km horizontal resolution and is written in HDF. Note that there is no atmospheric volume characterization associated with the cloud profile products. Also, the 1064 calibration scheme assumes that both the extinction and the backscatter from clouds are spectrally independent. Consistent with this assumption, extinction and backscatter profiles will be reported for clouds only at 532 nm. Additionally, it is important to note that the aerosol profile product extends upward to 30.1 km, while the cloud profile product ceases at 20.2. Therefore, users interested in polar stratospheric clouds will need to order the aerosol profile data product. The science algorithms used to produce the V3.40 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 V3.40 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 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 2020-01-29T03:16:03.000Z
This dataset contains calibrated images of comet 103/P Hartley 2 acquired by the Medium Resolution Visible CCD (MRI) from 05 September through 26 November 2010 during the Hartley 2 encounter phase of the EPOXI mission. Clear-filter and CN images of the comet were acquired throughout this phase; OH, C2, and dust continuum images were only acquired for several days spanning closest approach.
Aqua Moderate Resolution Imaging Spectroradiometer (MODIS) Inherent Optical Properties (IOP) Global Binned Datadata.nasa.gov | Last Updated 2019-12-13T00:01:53.000Z
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 2020-01-29T02:10:29.000Z
One of the key motivating factors for using particle filters for prognostics is the ability to include model parameters as part of the state vector to be estimated. This performs model adaptation in conjunction with state tracking, and thus, produces a tuned model that can used for long term predictions. This feature of particle filters works in most part due to the fact that they are not subject to the “curse of dimensionality”, i.e. the exponential growth of computational complexity with state dimension. However, in practice, this property holds for “well-designed” particle filters only as dimensionality increases. This paper explores the notion of wellness of design in the context of predicting remaining useful life for individual discharge cycles of Li-ion batteries. Prognostic metrics are used to analyze the tradeoff between different model designs and prediction performance. Results demonstrate how sensitivity analysis may be used to arrive at a well- designed prognostic model that can take advantage of the model adaptation properties of a particle filter.*
MERRA-2 tavgM_3d_qdt_Np: 3d,Monthly mean,Time-Averaged,Pressure-Level,Assimilation,Moist Tendencies 0.625 x 0.5 degree V5.12.4 (M2TMNPQDT) at GES DISCdata.nasa.gov | Last Updated 2019-12-13T00:21:23.000Z
The Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) is a NASA atmospheric reanalysis for the satellite era using the Goddard Earth Observing System Model, Version 5 (GEOS-5) with its Atmospheric Data Assimilation System (ADAS), version 5.12.4. The MERRA project focuses on historical climate analyses for a broad range of weather and climate time scales and places the NASA EOS suite of observations in a climate context. MERRA-2 was initiated as an intermediate project between the aging MERRA data and the next generation of Earth system analysis envisioned for the future coupled reanalysis. Without a substantial investment to update MERRA's data assimilation routines, the system lacked the capability to analyze the latest observations. In addition, numerous advances to the GEOS5 system had been implemented since freezing the MERRA system in 2008. Therefore, a new full reanalysis integration was undertaken. MERRA-2 covers the period 1980-present, continuing as an ongoing climate analysis as resources allow. Sign Up for the MERRA-2 Mailing List Sign up for the MERRA-2 listserv to receive announcements on the latest data information, tools and services that become available, data announcements from GMAO and more! Contact the GES DISC User Services (email@example.com) to be added to the list. MERRA-2 Science Data and Data Processing Questions Do you have a question about MERRA/MERRA-2? Take a look at the File Specification Document (https://gmao.gsfc.nasa.gov/pubs/docs/Bosilovich785.pdf) and if that doesn't answer your question, users can contact staff with questions on the data, data processing and science. Send questions to firstname.lastname@example.org.
- API data.nasa.gov | Last Updated 2019-12-12T23:52:17.000Z
The ERBE-like Footprint TOA Fluxes (ES-8) product contains 24 hours of instantaneous Clouds and the Earth's Radiant Energy System (CERES) data for a single scanner instrument, Flight Model 2 (FM2) on the Terra spacecraft. The ES-8 contains filtered radiances recorded every 0.01-second for the total (TOT), shortwave (SW), and window (WN) channels and the unfiltered SW, longwave (LW), and WN radiances. The SW and LW radiances at spacecraft altitude are converted to Top-of-the-Atmosphere (TOA) fluxes with a scene identification algorithm and Angular Distribution Models (ADMs) which are "like" those used for the Earth Radiation Budget Experiment (ERBE). The TOA fluxes, scene identification, and angular geometry are included on the ES-8. CERES is a key component of the Earth Observing System (EOS) program. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions are a follow-on to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument (PFM) was launched on November 27, 1997 as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the EOS flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board EOS Aqua on May 4, 2002. The newest CERES instrument (FM5) was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011.
- API data.nasa.gov | Last Updated 2020-01-29T04:21:56.000Z
Functional robustness, resulting from superior engineering design, along with appropriate and timely mitigating actions, is a key enabler for satisfying complex mission goals, and for enhancing mission success probability. Fault Management (FM) is a crucial mechanism to ensure system functionality from system design through the operational phase of a mission. FM is implemented with spacecraft hardware, on-board autonomous software that controls hardware, software and information redundancy, ground-based software and procedures. A major issue in the development and operation of Fault Management (FM) is the determination of the value of the various components of FM design within a system. Without comprehensive measures of value, FM designers and system engineers are left with qualitative arguments often tied to fault tolerance requirements (for example, single fault tolerance, fail-operational-fail safe) or one-off, ad hoc analyses to estimate the risks associated with particular failures and design measures to mitigate them. Qualtech Systems, Inc., in collaboration with Dr. Stephen B. Johnson of University of Colorado at Colorado Springs (UCCS) and President of Dependable System Technologies, LLC, proposes to develop techniques and concomitant software tools for evaluating FM metrics by using TEAMS® as the underlying platform. This proposal aims to utilize recent advances in the theory and practice of FM, and in particular in the theory and practice of FM metrics, to enhance the ability of system and FM engineers and operators to measure and document the value, cost and risks associated with the FM design. In turn, this provides the information needed to compare alternative FM designs, quantitatively evaluate how well a system is achieving its goals, and enables more effective verification and validation (V&V) of selected FM design.