A N N U a L R E P O
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
The Contribution of Global Ocean Observation of Continuity of HY-2
CGMS-XXXVI-CNSA-WP-04 Prepared by CNSA Agenda Item: III/3&4 The contribution of global ocean observation of continuity of HY-2 satellite HY-2 satellite, an ocean dynamic environment observation satellite, mainly ` objective is monitoring and detecting the parameters of ocean dynamic environment. These parameters include sea surface wind fields, sea surface height, wave height, gravity field, ocean circulation and sea surface temperature etc. The contribution of global ocean observation of continuity of HY-2 satellite 1. Introduction HY-2 satellite scatterometer provides sea surface wind fields, which can offset the observation gap of the plan of global scatterometer. At the same time, HY-2 satellite altimeter provides sea surface height, significant wave height, sea surface wind speed and polar ice sheet elevation, which can offset the observation gap of the plan of global altimeter around 2012, and can offset the observation gap of JASON-1&2 at polar area. More details as follows. 2. Observation of sea surface wind fields The analysis accuracy of wind field for ocean-atmosphere can improve 10-20% by using the satellite scatterometer data, by which can improve greatly the quality of initial wind field of numerical atmospheric forecast model in coastal ocean. Satellite scatterometer data has play important role on study of large-scale ocean phenomenon, such as sea-air interactions, ocean circulation, EI Nino etc. The figure 1 shows that QuikSCAT scatterometer has operational application in 1999, but it has not the following plan. ERS-2 scatterometer mission has transferred to METOP ASCAT in 2006. GCOM-B1 will launch in 2008, one of its payloads is an ocean vector wind measurement (OVWM) instruments, and it also called AlphaScat. -
In Brief Modified to Increase Engine Reliability
r bulletin 102 — may 2000 3rd Space Station ESA, together with a European industrial Element to be Launched consortium headed by DaimlerChrysler (D) and including Belgian, Dutch and French NASA and the Russian Aviation and partners, was responsible for the design, Space Agency (Rosaviakosmos) plan that development and delivery of the core data the next component of the International management system, which provides Space Station (ISS) – the Zvezda service Zvezda’s main computer. module – will be launched on 12 July from the Baikonur Cosmodrome in Kazakhstan. ESA also has a contract with Rosaviakosmos and RSC-Energia for Following a Joint Programme Review and performing system and interface a General Designers’ Review in Moscow, it integration tasks required for docking with was agreed that Zvezda (Russian for Zvezda by ESA’s Automated Transfer ‘star’) will be launched by a Proton rocket Vehicle (ATV), which will be used for ISS with the second and third stage engines re-boost and logistics support missions In Brief modified to increase engine reliability. from 2003 onwards. Through its ATV industrial consortium led by Aerospatiale Zvezda will provide the early living quarters Matra Lanceurs (F), ESA is also procuring for ISS crew, together with the life sup- some Russian hardware and software for port, electrical power distribution, data use with the ATV. management, flight control, and propul- sion systems for the ISS. On the scientific side, ESA has concluded contracts with Rosaviakosmos and RSC- Energia for the conduct of scientific experiments on Zvezda, including the Global Timing System (GTS) and a radiobiology experiment (called Matroshka) to monitor and analyse radiation doses in ISS crew. -
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. -
Jjmonl 1712.Pmd
alactic Observer John J. McCarthy Observatory G Volume 10, No. 12 December 2017 Holiday Theme Park See page 19 for more information The John J. McCarthy Observatory Galactic Observer New Milford High School Editorial Committee 388 Danbury Road Managing Editor New Milford, CT 06776 Bill Cloutier Phone/Voice: (860) 210-4117 Production & Design Phone/Fax: (860) 354-1595 www.mccarthyobservatory.org Allan Ostergren Website Development JJMO Staff Marc Polansky Technical Support It is through their efforts that the McCarthy Observatory Bob Lambert has established itself as a significant educational and recreational resource within the western Connecticut Dr. Parker Moreland community. Steve Barone Jim Johnstone Colin Campbell Carly KleinStern Dennis Cartolano Bob Lambert Route Mike Chiarella Roger Moore Jeff Chodak Parker Moreland, PhD Bill Cloutier Allan Ostergren Doug Delisle Marc Polansky Cecilia Detrich Joe Privitera Dirk Feather Monty Robson Randy Fender Don Ross Louise Gagnon Gene Schilling John Gebauer Katie Shusdock Elaine Green Paul Woodell Tina Hartzell Amy Ziffer In This Issue "OUT THE WINDOW ON YOUR LEFT"............................... 3 REFERENCES ON DISTANCES ................................................ 18 SINUS IRIDUM ................................................................ 4 INTERNATIONAL SPACE STATION/IRIDIUM SATELLITES ............. 18 EXTRAGALACTIC COSMIC RAYS ........................................ 5 SOLAR ACTIVITY ............................................................... 18 EQUATORIAL ICE ON MARS? ........................................... -
On the Use of Scatterometer Winds in Nwp
ON THE USE OF SCATTEROMETER WINDS IN NWP Ad Stoffelen KNMI, de Bilt, the Netherlands, Email: [email protected] Lars Isaksen, Didier le Meur ECMWF, Reading, UK ABSTRACT Over the last years the processing of ERS scatterometer winds has been refined. Subsequently, High Resolution Limited Area Model, HIRLAM, and ECMWF model data assimilation experiments have been carried out to assess the impact of one scatterometer, ERS-1 and of two scatterometers, ERS-1 and ERS-2, on the analyses and forecasts. We found that scatterometer winds have a clear and beneficial impact in the data assimilation cycle and on the forecasts. Furthermore, ECMWF has shown that ERS scatterometer data improve the prediction of tropical cyclones in 4Dvar, where unprecedented skillful medium-range forecasts result of potential large social-economic value. Nevertheless, scatterometer winds contain much sub-synoptic scale information where the smallest scales resolved are difficult to assimilate into a Numerical Weather Prediction, NWP, model. This is mainly due to the otherwise general sparsity of the observing system over the ocean. In line with this it is found that scatterometer data coverage is very important for obtaining a large impact. In that respect future scatterometer systems such as SeaWinds on QuikSCAT and ADEOS- II, and ASCAT on EPS are promising. 1. INTRODUCTION After the launch of ERS-1 much improvement has been made in the interpretation of scatterometer backscatter measurements and a good quality wind product has emerged (Stoffelen and Anderson, 1997a, 1997b and 1997c). The consistency of the scatterometer winds over the swath makes them particularly useful for nowcasting purposes and several examples of the usefulness of the direct visual presentation of scatterometer winds to a meteorologist can be given. -
ASCAT – Metop's Advanced Scatterometer
ascat ASCAT – Metop’s Advanced Scatterometer R.V. Gelsthorpe Earth Observation Programmes Development Department, ESA Directorate of Application Programmes, ESTEC, Noordwijk, The Netherlands E. Schied Dornier Satelllitensysteme*, Friedrichshafen, Germany J.J.W. Wilson Eumetsat, Darmstadt, Germany Introduction Figure 1 indicates the form of the variation of Wind scatterometers already flown on ESA’s backscattering coefficient with relative wind ERS-1 and ERS-2 satellites have demonstrated direction (at a fixed incidence angle) for a range the value of such instruments for the global of wind speeds. determination of sea-surface wind vectors. These highly successful instruments – part of If an instrument were to be constructed that the Active Microwave Instrument (AMI) – were determined the sea-surface backscattering conceived about twenty years ago. During coefficient from a single look direction, the the intervening period, there has been a overlapping nature of the curves would limit considerable evolution in the capabilities of its capabilities to providing a rather coarse spaceborne hardware. estimate of wind speed and no information on wind direction. The earliest successful space- ASCAT is an advanced scatterometer that will fly as part of the borne wind scatterometer, that of Seasat, used payload of the Metop satellites, which in turn form part of the two dual-polarised antennas pointed at 45 and Eumetsat Polar System. It is developed by Dornier Satellitensysteme 135 deg with respect to the satellite’s direction under the leadership of Matra Marconi Space**, the satellite Prime of flight to determine sea-surface scattering Contractor, for ESA. From its polar orbit, ASCAT will measure sea- coefficients from two directions separated by surface winds in two 500 km wide swaths and will achieve global 90 deg. -
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. -
Cassini RADAR Sequence Planning and Instrument Performance Richard D
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 47, NO. 6, JUNE 2009 1777 Cassini RADAR Sequence Planning and Instrument Performance Richard D. West, Yanhua Anderson, Rudy Boehmer, Leonardo Borgarelli, Philip Callahan, Charles Elachi, Yonggyu Gim, Gary Hamilton, Scott Hensley, Michael A. Janssen, William T. K. Johnson, Kathleen Kelleher, Ralph Lorenz, Steve Ostro, Member, IEEE, Ladislav Roth, Scott Shaffer, Bryan Stiles, Steve Wall, Lauren C. Wye, and Howard A. Zebker, Fellow, IEEE Abstract—The Cassini RADAR is a multimode instrument used the European Space Agency, and the Italian Space Agency to map the surface of Titan, the atmosphere of Saturn, the Saturn (ASI). Scientists and engineers from 17 different countries ring system, and to explore the properties of the icy satellites. have worked on the Cassini spacecraft and the Huygens probe. Four different active mode bandwidths and a passive radiometer The spacecraft was launched on October 15, 1997, and then mode provide a wide range of flexibility in taking measurements. The scatterometer mode is used for real aperture imaging of embarked on a seven-year cruise out to Saturn with flybys of Titan, high-altitude (around 20 000 km) synthetic aperture imag- Venus, the Earth, and Jupiter. The spacecraft entered Saturn ing of Titan and Iapetus, and long range (up to 700 000 km) orbit on July 1, 2004 with a successful orbit insertion burn. detection of disk integrated albedos for satellites in the Saturn This marked the start of an intensive four-year primary mis- system. Two SAR modes are used for high- and medium-resolution sion full of remote sensing observations by a dozen instru- (300–1000 m) imaging of Titan’s surface during close flybys. -
Highlights in Space 2010
International Astronautical Federation Committee on Space Research International Institute of Space Law 94 bis, Avenue de Suffren c/o CNES 94 bis, Avenue de Suffren UNITED NATIONS 75015 Paris, France 2 place Maurice Quentin 75015 Paris, France Tel: +33 1 45 67 42 60 Fax: +33 1 42 73 21 20 Tel. + 33 1 44 76 75 10 E-mail: : [email protected] E-mail: [email protected] Fax. + 33 1 44 76 74 37 URL: www.iislweb.com OFFICE FOR OUTER SPACE AFFAIRS URL: www.iafastro.com E-mail: [email protected] URL : http://cosparhq.cnes.fr Highlights in Space 2010 Prepared in cooperation with the International Astronautical Federation, the Committee on Space Research and the International Institute of Space Law The United Nations Office for Outer Space Affairs is responsible for promoting international cooperation in the peaceful uses of outer space and assisting developing countries in using space science and technology. United Nations Office for Outer Space Affairs P. O. Box 500, 1400 Vienna, Austria Tel: (+43-1) 26060-4950 Fax: (+43-1) 26060-5830 E-mail: [email protected] URL: www.unoosa.org United Nations publication Printed in Austria USD 15 Sales No. E.11.I.3 ISBN 978-92-1-101236-1 ST/SPACE/57 *1180239* V.11-80239—January 2011—775 UNITED NATIONS OFFICE FOR OUTER SPACE AFFAIRS UNITED NATIONS OFFICE AT VIENNA Highlights in Space 2010 Prepared in cooperation with the International Astronautical Federation, the Committee on Space Research and the International Institute of Space Law Progress in space science, technology and applications, international cooperation and space law UNITED NATIONS New York, 2011 UniTEd NationS PUblication Sales no. -
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 -
Evaluation of Quikscat Data for Monitoring Vegetation Phenology
City University of New York (CUNY) CUNY Academic Works Dissertations and Theses City College of New York 2011 Evaluation of QuikSCAT data for Monitoring Vegetation Phenology Doralee Pellot CUNY City College How does access to this work benefit ou?y Let us know! More information about this work at: https://academicworks.cuny.edu/cc_etds_theses/27 Discover additional works at: https://academicworks.cuny.edu This work is made publicly available by the City University of New York (CUNY). Contact: [email protected] Evaluation of QuikSCAT data for Monitoring Vegetation Phenology Thesis Submitted in partial fulfillment of the requirements for the degree Master of Engineering (Civil) at The City College of New York of The City University of New York by Doralee Pellot May 2012 ____________________________________________ Professor Reza Khanbilvardi Dr. Tarendra Lakhankar Department of Civil Engineering Table of Contents List of Figures ................................................................................................................................. 1 Abstract ........................................................................................................................................... 3 1 Introduction ............................................................................................................................. 4 2 Data Sources ........................................................................................................................... 6 2.1 Radar Backscatter from QuikSCAT ................................................................................