High Performance Computing for Flight Projects at JPL
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Juno Telecommunications
The cover The cover is an artist’s conception of Juno in orbit around Jupiter.1 The photovoltaic panels are extended and pointed within a few degrees of the Sun while the high-gain antenna is pointed at the Earth. 1 The picture is titled Juno Mission to Jupiter. See http://www.jpl.nasa.gov/spaceimages/details.php?id=PIA13087 for the cover art and an accompanying mission overview. DESCANSO Design and Performance Summary Series Article 16 Juno Telecommunications Ryan Mukai David Hansen Anthony Mittskus Jim Taylor Monika Danos Jet Propulsion Laboratory California Institute of Technology Pasadena, California National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology Pasadena, California October 2012 This research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not constitute or imply endorsement by the United States Government or the Jet Propulsion Laboratory, California Institute of Technology. Copyright 2012 California Institute of Technology. Government sponsorship acknowledged. DESCANSO DESIGN AND PERFORMANCE SUMMARY SERIES Issued by the Deep Space Communications and Navigation Systems Center of Excellence Jet Propulsion Laboratory California Institute of Technology Joseph H. Yuen, Editor-in-Chief Published Articles in This Series Article 1—“Mars Global -
Atlas V Juno Mission Overview
Mission Overview Atlas V Juno Cape Canaveral Air Force Station, FL United Launch Alliance (ULA) is proud to be a part of NASA’s Juno mission. Following launch on an Atlas V 551 and a fi ve-year cruise in space, Juno will improve our understanding of the our solar system’s beginnings by revealing the origin and evolution of its largest planet, Jupiter. Juno is the second of fi ve critical missions ULA is scheduled to launch for NASA in 2011. These missions will address important questions of science — ranging from climate and weather on planet earth to life on other planets and the origins of the solar system. This team is focused on attaining Perfect Product Delivery for the Juno mission, which includes a relentless focus on mission success (the perfect product) and also excellence and continuous improvement in meeting all of the needs of our customers (the perfect delivery). My thanks to the entire ULA team and our mission partners, for their dedication in bringing Juno to launch, and to NASA making possible this extraordinary mission. Mission Overview Go Atlas, Go Centaur, Go Juno! U.S. Airforce Jim Sponnick Vice President, Mission Operations 1 Atlas V AEHF-1 JUNO SPACECRAFT | Overview The Juno spacecraft will provide the most detailed observations to date of Jupiter, the solar system’s largest planet. Additionally, as Jupiter was most likely the fi rst planet to form, Juno’s fi ndings will shed light on the history and evolution of the entire solar system. Following a fi ve-year long cruise to Jupiter, which will include a gravity-assisting Earth fl y-by, Juno will enter into a polar orbit around the planet, completing 33 orbits during its science phase before being commanded to enter Jupiter’s atmosphere for mission completion. -
Estimating Gale to Hurricane Force Winds Using the Satellite Altimeter
VOLUME 28 JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY APRIL 2011 Estimating Gale to Hurricane Force Winds Using the Satellite Altimeter YVES QUILFEN Space Oceanography Laboratory, IFREMER, Plouzane´, France DOUG VANDEMARK Ocean Process Analysis Laboratory, University of New Hampshire, Durham, New Hampshire BERTRAND CHAPRON Space Oceanography Laboratory, IFREMER, Plouzane´, France HUI FENG Ocean Process Analysis Laboratory, University of New Hampshire, Durham, New Hampshire JOE SIENKIEWICZ Ocean Prediction Center, NCEP/NOAA, Camp Springs, Maryland (Manuscript received 21 September 2010, in final form 29 November 2010) ABSTRACT A new model is provided for estimating maritime near-surface wind speeds (U10) from satellite altimeter backscatter data during high wind conditions. The model is built using coincident satellite scatterometer and altimeter observations obtained from QuikSCAT and Jason satellite orbit crossovers in 2008 and 2009. The new wind measurements are linear with inverse radar backscatter levels, a result close to the earlier altimeter high wind speed model of Young (1993). By design, the model only applies for wind speeds above 18 m s21. Above this level, standard altimeter wind speed algorithms are not reliable and typically underestimate the true value. Simple rules for applying the new model to the present-day suite of satellite altimeters (Jason-1, Jason-2, and Envisat RA-2) are provided, with a key objective being provision of enhanced data for near-real- time forecast and warning applications surrounding gale to hurricane force wind events. Model limitations and strengths are discussed and highlight the valuable 5-km spatial resolution sea state and wind speed al- timeter information that can complement other data sources included in forecast guidance and air–sea in- teraction studies. -
Lessons Learned from the Juno Project
Lessons Learned from the Juno Project Presented by: William McAlpine Insoo Jun EJSM Instrument Workshop January 18‐20, 2010 © 2010 All rights reserved. Pre‐decisional, For Planning and Discussion Purposes Only Y‐1 Topics Covered • Radiation environment • Radiation control program • Radiation control program lessons learned Pre‐decisional, For Planning and Discussion Purposes Only Y‐2 Juno Radiation Environments Pre‐decisional, For Planning and Discussion Purposes Only Y‐3 Radiation Environment Comparison • Juno TID environment is about a factor of 5 less than JEO • Juno peak flux rate is about a factor of 3 above JEO Pre‐decisional, For Planning and Discussion Purposes Only Y‐4 Approach for Mitigating Radiation (1) • Assign a radiation control manager to act as a focal point for radiation related activities and issues across the Project early in the lifecycle – Requirements, EEE parts, materials, environments, and verification • Establish a radiation advisory board to address challenging radiation control issues • Hold external reviews for challenging radiation control issues • Establish a radiation control process that defines environments, defines requirements, and radiation requirements verification documentation • Design the mission trajectory to minimize the radiation exposure Pre‐decisional, For Planning and Discussion Purposes Only Y‐5 Approach for Mitigating Radiation (2) • Optimize shielding design to accommodate cumulative total ionizing dose and displacement damage dose and instantaneous charged particle fluxes near Perijove -
Juno Spacecraft Description
Juno Spacecraft Description By Bill Kurth 2012-06-01 Juno Spacecraft (ID=JNO) Description The majority of the text in this file was extracted from the Juno Mission Plan Document, S. Stephens, 29 March 2012. [JPL D-35556] Overview For most Juno experiments, data were collected by instruments on the spacecraft then relayed via the orbiter telemetry system to stations of the NASA Deep Space Network (DSN). Radio Science required the DSN for its data acquisition on the ground. The following sections provide an overview, first of the orbiter, then the science instruments, and finally the DSN ground system. Juno launched on 5 August 2011. The spacecraft uses a deltaV-EGA trajectory consisting of a two-part deep space maneuver on 30 August and 14 September 2012 followed by an Earth gravity assist on 9 October 2013 at an altitude of 559 km. Jupiter arrival is on 5 July 2016 using two 53.5-day capture orbits prior to commencing operations for a 1.3-(Earth) year-long prime mission comprising 32 high inclination, high eccentricity orbits of Jupiter. The orbit is polar (90 degree inclination) with a periapsis altitude of 4200-8000 km and a semi-major axis of 23.4 RJ (Jovian radius) giving an orbital period of 13.965 days. The primary science is acquired for approximately 6 hours centered on each periapsis although fields and particles data are acquired at low rates for the remaining apoapsis portion of each orbit. Juno is a spin-stabilized spacecraft equipped for 8 diverse science investigations plus a camera included for education and public outreach. -
Articles Upon the Hox Family by Comparing Averages of Days Impacted by These Events with Averages of Non-Impacted 3945–3977, Doi:10.5194/Acp-13-3945-2013, 2013
Atmos. Chem. Phys., 15, 2889–2902, 2015 www.atmos-chem-phys.net/15/2889/2015/ doi:10.5194/acp-15-2889-2015 © Author(s) 2015. CC Attribution 3.0 License. Stratospheric and mesospheric HO2 observations from the Aura Microwave Limb Sounder L. Millán1,2, S. Wang2, N. Livesey2, D. Kinnison3, H. Sagawa4, and Y. Kasai4 1Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, California, USA 2Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA 3National Center for Atmospheric Research, Boulder, Colorado, USA 4National Institute of Information and Communications Technology, Koganei, Tokyo, Japan Correspondence to: L. Millán ([email protected]) Received: 18 June 2014 – Published in Atmos. Chem. Phys. Discuss.: 8 September 2014 Revised: 17 February 2015 – Accepted: 24 February 2015 – Published: 13 March 2015 Abstract. This study introduces stratospheric and meso- sphere where O3 chemistry is controlled by catalytic cycles spheric hydroperoxyl radical (HO2) estimates from the Aura involving the HOx (HO2, OH and H) family (Brasseur and Microwave Limb Sounder (MLS) using an offline retrieval Solomon, 2005): (i.e. run separately from the standard MLS algorithm). This new data set provides two daily zonal averages, one during X C O3 ! XO C O2 (R1) daytime from 10 to 0.0032 hPa (using day-minus-night dif- O C XO ! O2 C X; (R2) ferences between 10 and 1 hPa to ameliorate systematic bi- ases) and one during nighttime from 1 to 0.0032 hPa. The where the net effect of these two reactions is simply vertical resolution of this new data set varies from about 4 km O C O ! 2O (R3) at 10 hPa to around 14 km at 0.0032 hPa. -
+ New Horizons
Media Contacts NASA Headquarters Policy/Program Management Dwayne Brown New Horizons Nuclear Safety (202) 358-1726 [email protected] The Johns Hopkins University Mission Management Applied Physics Laboratory Spacecraft Operations Michael Buckley (240) 228-7536 or (443) 778-7536 [email protected] Southwest Research Institute Principal Investigator Institution Maria Martinez (210) 522-3305 [email protected] NASA Kennedy Space Center Launch Operations George Diller (321) 867-2468 [email protected] Lockheed Martin Space Systems Launch Vehicle Julie Andrews (321) 853-1567 [email protected] International Launch Services Launch Vehicle Fran Slimmer (571) 633-7462 [email protected] NEW HORIZONS Table of Contents Media Services Information ................................................................................................ 2 Quick Facts .............................................................................................................................. 3 Pluto at a Glance ...................................................................................................................... 5 Why Pluto and the Kuiper Belt? The Science of New Horizons ............................... 7 NASA’s New Frontiers Program ........................................................................................14 The Spacecraft ........................................................................................................................15 Science Payload ...............................................................................................................16 -
The Space-Based Global Observing System in 2010 (GOS-2010)
WMO Space Programme SP-7 The Space-based Global Observing For more information, please contact: System in 2010 (GOS-2010) World Meteorological Organization 7 bis, avenue de la Paix – P.O. Box 2300 – CH 1211 Geneva 2 – Switzerland www.wmo.int WMO Space Programme Office Tel.: +41 (0) 22 730 85 19 – Fax: +41 (0) 22 730 84 74 E-mail: [email protected] Website: www.wmo.int/pages/prog/sat/ WMO-TD No. 1513 WMO Space Programme SP-7 The Space-based Global Observing System in 2010 (GOS-2010) WMO/TD-No. 1513 2010 © World Meteorological Organization, 2010 The right of publication in print, electronic and any other form and in any language is reserved by WMO. Short extracts from WMO publications may be reproduced without authorization, provided that the complete source is clearly indicated. Editorial correspondence and requests to publish, reproduce or translate these publication in part or in whole should be addressed to: Chairperson, Publications Board World Meteorological Organization (WMO) 7 bis, avenue de la Paix Tel.: +41 (0)22 730 84 03 P.O. Box No. 2300 Fax: +41 (0)22 730 80 40 CH-1211 Geneva 2, Switzerland E-mail: [email protected] FOREWORD The launching of the world's first artificial satellite on 4 October 1957 ushered a new era of unprecedented scientific and technological achievements. And it was indeed a fortunate coincidence that the ninth session of the WMO Executive Committee – known today as the WMO Executive Council (EC) – was in progress precisely at this moment, for the EC members were very quick to realize that satellite technology held the promise to expand the volume of meteorological data and to fill the notable gaps where land-based observations were not readily available. -
Improved Quality Control for Quikscat Near Real-Time Data
JP4.6 Improved Quality Control for QuikSCAT Near Real-time Data S. Mark Leidner, Ross N. Hoffman, and Mark C. Cerniglia Atmospheric and Environmental Research Inc., Lexington, Massachusetts Abstract errors. We will illustrate the types of errors that occur due to rain contamination and ambiguity removal. SeaWinds on QuikSCAT, launched in June 1999, We will also give examples of how the quality of the provides a new source of surface wind information retrieved winds varies across the satellite track, and over the world’s oceans. This new window on global varies with wind speed. surface vector winds has been a great aid to real- SeaWinds is an active, Ku-band microwave radar time operational users, especially in remote areas operating near ¢¤£¦¥¨§ © and is sensitive to centimeter- of the world. As with in situ observations, the qual- scale or capillary waves on the ocean surface. ity of remotely-sensed geophysical data is closely These waves are usually in equilibrium with the wind. tied to the characteristics of the instrument. But Each radar backscatter observation samples a patch remotely-sensed scatterometer winds also have a of ocean about . The vector wind is re- whole range of additional quality control concerns trieved by combining several backscatter observa- different from those of in situ observation systems. tions made from multiple viewing geometries as the The retrieval of geophysical information from the raw scatterometer passes overhead. The resolution of satellite measurements introduces uncertainties but the retrieved winds is . also produces diagnostics about the reliability of the Backscatter from capillary waves on the ocean retrieved quantities. -
Watching the Winds Where Sea Meets Sky 14 August 2014, by Rosalie Murphy
Watching the winds where sea meets sky 14 August 2014, by Rosalie Murphy the speed and direction of wind at the ocean's surface. "Before scatterometers, we could only measure ocean winds on ships, and sampling from ships is very limited," said Timothy Liu of NASA's Jet Propulsion Laboratory in Pasadena, California, who led the science team for NASA's QuikScat mission. Scatterometry began to emerge during World War II, when scientists realized wind disturbing the ocean's surface caused noise in their radar signals. NASA included an experimental scatterometer in its The SeaWinds scatterometer on NASA's QuikScat first space station in 1973 and again when it satellite stares into the eye of 1999's Hurricane Floyd as launched its SeaSat satellite in 1978. During its it hits the U.S. coast. The arrows indicate wind direction, three-month life, SeaSat's scatterometer provided while the colors represent wind speed, with orange and scientists with more individual wind observations yellow being the fastest. Credit: NASA/JPL-Caltech than ships had collected in the previous century. The ocean covers 71 percent of Earth's surface and affects weather over the entire globe. Hurricanes and storms that begin far out over the ocean affect people on land and interfere with shipping at sea. And the ocean stores carbon and heat, which are transported from the ocean to the air and back, allowing for photosynthesis and affecting Earth's climate. To understand all these processes, scientists need information about winds A JPL team then designed a mission called near the ocean's surface. -
A Possible Flyby Anomaly for Juno at Jupiter
A possible flyby anomaly for Juno at Jupiter L. Acedo,∗ P. Piqueras and J. A. Mora˜no Instituto Universitario de Matem´atica Multidisciplinar, Building 8G, 2o Floor, Camino de Vera, Universitat Polit`ecnica de Val`encia, Valencia, Spain December 14, 2017 Abstract In the last decades there have been an increasing interest in im- proving the accuracy of spacecraft navigation and trajectory data. In the course of this plan some anomalies have been found that cannot, in principle, be explained in the context of the most accurate orbital models including all known effects from classical dynamics and general relativity. Of particular interest for its puzzling nature, and the lack of any accepted explanation for the moment, is the flyby anomaly discov- ered in some spacecraft flybys of the Earth over the course of twenty years. This anomaly manifest itself as the impossibility of matching the pre and post-encounter Doppler tracking and ranging data within a single orbit but, on the contrary, a difference of a few mm/s in the asymptotic velocities is required to perform the fitting. Nevertheless, no dedicated missions have been carried out to eluci- arXiv:1711.08893v2 [astro-ph.EP] 13 Dec 2017 date the origin of this phenomenon with the objective either of revising our understanding of gravity or to improve the accuracy of spacecraft Doppler tracking by revealing a conventional origin. With the occasion of the Juno mission arrival at Jupiter and the close flybys of this planet, that are currently been performed, we have developed an orbital model suited to the time window close to the ∗E-mail: [email protected] 1 perijove. -
NASA Earth Science Research Missions NASA Observing System INNOVATIONS
NASA’s Earth Science Division Research Flight Applied Sciences Technology NASA Earth Science Division Overview AMS Washington Forum 2 Mayl 4, 2017 FY18 President’s Budget Blueprint 3/2017 (Pre)FormulationFormulation FY17 Program of Record (Pre)FormulationFormulation Implementation MAIA (~2021) Implementation MAIA (~2021) Landsat 9 Landsat 9 Primary Ops Primary Ops TROPICS (~2021) (2020) TROPICS (~2021) (2020) Extended Ops PACE (2022) Extended Ops XXPACE (2022) geoCARB (~2021) NISAR (2022) geoCARB (~2021) NISAR (2022) SWOT (2021) SWOT (2021) TEMPO (2018) TEMPO (2018) JPSS-2 (NOAA) JPSS-2 (NOAA) InVEST/Cubesats InVEST/Cubesats Sentinel-6A/B (2020, 2025) RBI, OMPS-Limb (2018) Sentinel-6A/B (2020, 2025) RBI, OMPS-Limb (2018) GRACE-FO (2) (2018) GRACE-FO (2) (2018) MiRaTA (2017) MiRaTA (2017) Earth Science Instruments on ISS: ICESat-2 (2018) Earth Science Instruments on ISS: ICESat-2 (2018) CATS, (2020) RAVAN (2016) CATS, (2020) RAVAN (2016) CYGNSS (>2018) CYGNSS (>2018) LIS, (2020) IceCube (2017) LIS, (2020) IceCube (2017) SAGE III, (2020) ISS HARP (2017) SAGE III, (2020) ISS HARP (2017) SORCE, (2017)NISTAR, EPIC (2019) TEMPEST-D (2018) SORCE, (2017)NISTAR, EPIC (2019) TEMPEST-D (2018) TSIS-1, (2018) TSIS-1, (2018) TCTE (NOAA) (NOAA’S DSCOVR) TCTE (NOAA) (NOAA’SXX DSCOVR) ECOSTRESS, (2017) ECOSTRESS, (2017) QuikSCAT (2017) RainCube (2018*) QuikSCAT (2017) RainCube (2018*) GEDI, (2018) CubeRRT (2018*) GEDI, (2018) CubeRRT (2018*) OCO-3, (2018) CIRiS (2018*) OCOXX-3, (2018) CIRiS (2018*) CLARREO-PF, (2020) EOXX-1 CLARREOXX XX-PF, (2020) EOXX-1