System vicarious calibration for ocean color climate change applications: Requirements for in situ data

被引:78
|
作者
Zibordi, Giuseppe [1 ]
Melin, Frederic [1 ]
Voss, Kenneth J. [2 ]
Johnson, B. Carol [3 ]
Franz, Bryan A. [4 ]
Kwiatkowska, Ewa [5 ]
Huot, Jean-Paul [6 ]
Wang, Menghua [7 ]
Antoine, David [8 ,9 ]
机构
[1] European Commiss, Joint Res Ctr, Ispra, Italy
[2] Univ Miami, Dept Phys, Coral Gables, FL 33124 USA
[3] NIST, Sensor Sci Div, Gaithersburg, MD 20899 USA
[4] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[5] EUMETSAT, Remote Sensing & Prod Div, Darmstadt, Germany
[6] European Space Agcy, NL-2200 AG Noordwijk, Netherlands
[7] NOAA, Ctr Satellite Applicat & Res, College Pk, MD USA
[8] Univ Paris 06, Sorbonne Univ, UMR 7093, Lab Oceanog Villefranche, Villefranche Sur Mer, France
[9] Curtin Univ, Dept Imaging & Appl Phys, Remote Sensing & Satellite Res Grp, Perth, WA 6845, Australia
关键词
Ocean color; System Vicarious Calibration; Climate Data Record; ATMOSPHERIC CORRECTION; COASTAL SITES; AERONET-OC; VALIDATION; SENSORS; PRODUCTS; SEAWIFS; MODIS; IRRADIANCE; RADIANCES;
D O I
10.1016/j.rse.2014.12.015
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
System Vicarious Calibration (SVC) ensures a relative radiometric calibration to satellite ocean color sensors that minimizes uncertainties in the water-leaving radiance L-w derived from the top of atmosphere radiance L-T. This is achieved through the application of gain-factors, g-factors, to pre-launch absolute radiometric calibration coefficients of the satellite sensor corrected for temporal changes in radiometric sensitivity. The g-factors are determined by the ratio of simulated to measured spectral L-T values where the former are computed using: i. highly accurate in situ Lw reference measurements; and ii. the same atmospheric models and algorithms applied for the atmospheric correction of satellite data. By analyzing basic relations between relative uncertainties of L-w and L-T, and g-factors consistently determined for the same satellite mission using different in situ data sources, this work suggests that the creation of ocean color Climate Data Records (CDRs) should ideally rely on: i. one main long-term in situ calibration system (site and radiometry) established and sustained with the objective to maximize accuracy and precision over time of g-factors and thus minimize possible biases among satellite data products from different missions; and additionally ii. unique (i.e., standardized) atmospheric model and algorithms for atmospheric correction to maximize cross-mission consistency of data products at locations different from that supporting SVC Finally, accounting for results from the study and elements already provided in literature, requirements and recommendations for SVC sites and field radiometric measurements are streamlined. (C) 2015 The Authors. Published by Elsevier Inc This is an open access article under the CC BY-NC-ND license.
引用
收藏
页码:361 / 369
页数:9
相关论文
共 44 条
  • [31] SeaWiFS ocean color data archive and distribution system: Assessment of system performance
    Acker, JG
    Shen, S
    Leptoukh, G
    Serafino, G
    Feldman, G
    McClain, C
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2002, 40 (01): : 90 - 103
  • [32] Impact of spectral resolution of in situ ocean color radiometric data in satellite matchups analyses
    Zibordi, Giuseppe
    Talone, Marco
    Voss, Kenneth J.
    Johnson, B. Carol
    OPTICS EXPRESS, 2017, 25 (16): : A798 - A812
  • [33] On-orbit calibration of the Suomi National Polar-Orbiting Partnership Visible Infrared Imaging Radiometer Suite for ocean color applications
    Eplee, Robert E., Jr.
    Turpie, Kevin R.
    Meister, Gerhard
    Patt, Frederick S.
    Franz, Bryan A.
    Bailey, Sean W.
    APPLIED OPTICS, 2015, 54 (08) : 1984 - 2006
  • [34] Evaluation of ocean color and sea surface temperature sensors algorithms using in situ data: a case study of temporal and spatial variability on two northeast Atlantic seamounts
    Mendonca, Ana
    Martins, Ana
    Figueiredo, Miguel
    Bashmachnikov, Igor
    Couto, Andre
    Lafon, Virgine
    Aristegui, Javier
    JOURNAL OF APPLIED REMOTE SENSING, 2010, 4
  • [35] A compilation of global bio-optical in situ data for ocean-colour satellite applications - version two
    Valente, Andre
    Sathyendranath, Shubha
    Brotas, Vanda
    Groom, Steve
    Grant, Michael
    Taberner, Malcolm
    Antoine, David
    Arnone, Robert
    Balch, William M.
    Barker, Kathryn
    Barlow, Ray
    Belanger, Simon
    Berthon, Jean-Francois
    Besiktepe, Suikru
    Borsheim, Yngve
    Bracher, Astrid
    Brando, Vittorio
    Canuti, Elisabetta
    Chavez, Francisco
    Cianca, Andres
    Claustre, Herve
    Clementson, Lesley
    Crout, Richard
    Frouin, Robert
    Garcia-Soto, Carlos
    Gibb, Stuart W.
    Gould, Richard
    Hooker, Stanford B.
    Kahru, Mati
    Kampel, Milton
    Klein, Holger
    Kratzer, Susanne
    Kudela, Raphael
    Ledesma, Jesus
    Loisel, Hubert
    Matrai, Patricia
    McKee, David
    Mitchell, Brian G.
    Moisan, Tiffany
    Muller-Karger, Frank
    O'Dowd, Leonie
    Ondrusek, Michael
    Platt, Trevor
    Poulton, Alex J.
    Repecaud, Michel
    Schroeder, Thomas
    Smythe, Timothy
    Smythe-Wright, Denise
    Sosik, Heidi M.
    Twardowski, Michael
    EARTH SYSTEM SCIENCE DATA, 2019, 11 (03) : 1037 - 1068
  • [36] An autonomous above-water system for the validation of ocean color radiance data
    Zibordi, G
    Mélin, F
    Hooker, SB
    D'Alimonte, D
    Holbert, B
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2004, 42 (02): : 401 - 415
  • [37] Near-Real-Time Ocean Color Data Processing Using Ancillary Data From the Global Forecast System Model
    Ramachandran, Sathyadev
    Wang, Menghua
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2011, 49 (04): : 1485 - 1495
  • [38] Projected climate change scenario over California by a regional ocean-atmosphere coupled model system
    Li, Haiqin
    Kanamitsu, Masao
    Hong, Song-You
    Yoshimura, Kei
    Cayan, Daniel R.
    Misra, Vasubandhu
    Sun, Liqiang
    CLIMATIC CHANGE, 2014, 122 (04) : 609 - 619
  • [39] Assessing the fitness-for-purpose of satellite multi-mission ocean color climate data records: A protocol applied to OC-CCI chlorophyll-a data
    Melin, F.
    Vantrepotte, V.
    Chuprin, A.
    Grant, M.
    Jackson, T.
    Sathyendranath, S.
    REMOTE SENSING OF ENVIRONMENT, 2017, 203 : 139 - 151
  • [40] Reconstructing Fine-Scale Ocean Variability via Data Assimilation of the SWOT Pre-Launch In Situ Observing System
    Archer, Matthew R.
    Li, Zhijin
    Wang, Jinbo
    Fu, Lee-Lueng
    JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2022, 127 (02)