Architecting the Future of Weather Satellites

被引:13
作者
Maier, Mark W. [1 ]
Gallagher, Frank W. [2 ]
St Germain, Karen [3 ]
Anthes, Richard [4 ]
Zuffada, Cinzia [5 ]
Menzies, Robert [5 ]
Piepmeier, Jeffrey [6 ]
Di Pietro, David [6 ]
Coakley, Monica M. [7 ]
Adams, Elena [8 ]
机构
[1] Aerosp Corp, Chantilly, VA 20151 USA
[2] NOAA, NESDIS, OSAAP, Silver Spring, MD USA
[3] NASA Headquarters, Washington, DC USA
[4] Univ Corp Atmospher Res, Boulder, CO USA
[5] CALTECH, NASA, Jet Prop Lab, Pasadena, CA 91125 USA
[6] NASA, GSFC, Greenbelt, MD USA
[7] MIT, Lincoln Lab, 244 Wood St, Lexington, MA 02173 USA
[8] JHU APL, Laurel, MD USA
关键词
Remote sensing; Satellite observations; Sensitivity studies;
D O I
10.1175/BAMS-D-19-0258.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Between 2014 and 2018, the NOAA Office of Systems Architecture and Advanced Planning (OSAAP) conducted the NOAA Satellite Observing System Architecture (NSOSA) study to plan the long-term future of the NOAA constellation of operational environmental satellites. This constellation of satellites (which may include space capabilities acquired in lieu of U.S. government satellites) will follow the current GOES-R and JPSS satellite programs, beginning about 2030. This was an opportunity to design a modern architecture with no preconceived notions regarding instruments, platforms, orbits, etc., but driven by user needs, new technology, and exploiting emerging space business models. In this paper we describe how the study was structured, review major results, show how observation priorities and estimated costs drove next-generation choices, and discuss important challenges for implementing the next generation of U.S. civil environmental remote sensing satellites.
引用
收藏
页码:E589 / E610
页数:22
相关论文
共 50 条
  • [41] Commercial observation satellites: broadening the sources of geospatial data
    Baker, JC
    O'Connell, KM
    Venzor, JA
    OPTICAL ENGINEERING, 2002, 41 (09) : 2077 - 2082
  • [42] Agile Maneuvers for Push-Broom Imaging Satellites
    Langer, Dennis D.
    Garrett, Joseph L.
    Kristiansen, Bjorn A.
    Bakken, Sivert
    Berg, Simen
    Birkeland, Roger
    Gravdahl, J. Tommy
    Johansen, Tor A.
    Sorensen, Asgeir J.
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2025, 63
  • [43] MONITORING PRIMARY PRODUCTION FROM EARTH OBSERVING SATELLITES
    PRINCE, SD
    GOETZ, SJ
    GOWARD, SN
    WATER AIR AND SOIL POLLUTION, 1995, 82 (1-2) : 509 - 522
  • [44] Weather and climate research with AIRS/AMSU
    Susskind, J
    APPLICATIONS WITH WEATHER SATELLITES II, 2005, 5658 : 166 - 176
  • [45] A Tool to Estimate Land-Surface Emissivities at Microwave frequencies (TELSEM) for use in numerical weather prediction
    Aires, Filipe
    Prigent, Catherine
    Bernardo, Frederic
    Jimenez, Carlos
    Saunders, Roger
    Brunel, Pascal
    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2011, 137 (656) : 690 - 699
  • [46] Estimating the Impact of Assimilating Cirrus Cloud-Contaminated Hyperspectral Infrared Radiances for Numerical Weather Prediction
    Marquis, Jared W.
    Dolinar, Erica K.
    Garnier, Anne
    Campbell, James R.
    Ruston, Benjamin C.
    Yang, Ping
    Zhang, Jianglong
    JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2023, 40 (03) : 327 - 340
  • [47] Compressed Sensing Applied to Weather Radar
    Mishra, Kumar Vijay
    Kruger, Anton
    Krajewski, Witold F.
    2014 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2014, : 1832 - 1835
  • [48] Operational monitoring of turbidity in rivers - How satellites can contribute
    Hucke, Dorothee
    Hillebrand, Gudrun
    Winterscheid, Axel
    Kranz, Susanne
    Baschek, Bjoern
    REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY XVIII, 2016, 9998
  • [49] Combined measurements of cloud using satellites, aircraft and groundbased instruments
    Hayasaka, T
    Iwabuchi, H
    OPTICAL REMOTE SENSING OF THE ATMOSPHERE AND CLOUDS II, 2001, 4150 : 235 - 242
  • [50] Chinese HJ-1A/B satellites and data characteristics
    WANG Qiao1
    2 Center for Earth Observation and Digital Earth
    Science China Earth Sciences, 2010, (S1) : 51 - 57