Atmospheric correction and determination of sea surface temperature in midlatitudes from NOAA-AVHRR data

被引：8
|
作者：
Coll, C. [1 ]
Caselles, V. [1 ]
Valor, E. [1 ]
机构：
[1] Univ Valencia, Dept Thermodynam, Fac Phys, E-46100 Burjassot, Spain
来源：
ATMOSPHERIC RESEARCH | 1993年 / 30卷 / 04期
关键词：
D O I：
10.1016/0169-8095(93)90026-K
中图分类号：
P4 [大气科学（气象学）];
学科分类号：
0706 ; 070601 ;
摘要：
In this paper we derive and validate a split-window algorithm for retrieving the sea surface temperature (SST) in midlatitude atmospheric conditions. First we have analyzed the physical fundamentals of the split-window approach. Then an algorithm has been theoretically derived by means of statistical regression over satellite measurement simulations, and it has been tuned for real NOAA-AVHRR measurements using in situ and coincident satellite data. The accuracy achieved for SST is 0.5 K, which is the limit accuracy that can be obtained from AVHRR measurements over midlatitudes. On the other side, we have proposed a strategy for applying the split-window algorithm without significantly increasing the noise level. This has the advantage of enhancing real thermal gradients and removing ficticious gradients introduced by the atmosphere.
引用
收藏
页码：233 / 250
页数：18
相关论文
共 50 条
  • [1] Improvements on the methodology to obtain accurate and automatic maps of sea surface temperature from NOAA-AVHRR data
    Eugenio, F
    Marcello, J
    Hernández, A
    Rovaris, E
    IGARSS 2000: IEEE 2000 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOL I - VI, PROCEEDINGS, 2000, : 1827 - 1829
  • [2] ATMOSPHERIC CORRECTION ALGORITHM FOR NOAA-AVHRR PRODUCTS - THEORY AND APPLICATION
    TANRE, D
    HOLBEN, BN
    KAUFMAN, YJ
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1992, 30 (02): : 231 - 248
  • [3] Global surface Temperature for climate studies using NOAA-AVHRR data
    Ouaidrari, H
    Czajkowski, KP
    Goward, SN
    Sobrino, JA
    IGARSS '98 - 1998 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, PROCEEDINGS VOLS 1-5: SENSING AND MANAGING THE ENVIRONMENT, 1998, : 598 - 600
  • [4] Seasonal variation of sea surface temperature in the Bay of Bengal during 1992 as derived from NOAA-AVHRR SST data
    Murty, VSN
    Subrahmanyam, B
    Rao, LVG
    Reddy, GV
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 1998, 19 (12) : 2361 - 2372
  • [5] Sea surface temperature estimation from NOAA-AVHRR satellite data: validation of algorithms applied to the northern coast of Chile
    Parra, Juan C.
    Morales, Luis
    Sobrino, Jose A.
    Romero, Juan
    LATIN AMERICAN JOURNAL OF AQUATIC RESEARCH, 2011, 39 (01): : 179 - 183
  • [6] Study on sea surface temperature retrieval from NOAA/AVHRR data
    Dang, S.X.
    Yang, C.J.
    Wang, Y.F.
    Gaojishu Tongxin/High Technology Letters, 2001, 11 (03):
  • [7] Comparison of split window algorithms for land surface temperature retrieval from NOAA-AVHRR data
    Qin, ZH
    Xu, B
    Zhang, WC
    Li, WJ
    Chen, ZX
    Zhang, HO
    IGARSS 2004: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM PROCEEDINGS, VOLS 1-7: SCIENCE FOR SOCIETY: EXPLORING AND MANAGING A CHANGING PLANET, 2004, : 3740 - 3743
  • [8] NOAA-AVHRR Orbital Drift Correction From Solar Zenithal Angle Data
    Sobrino, Jose A.
    Julien, Yves
    Atitar, Mariam
    Nerry, Francoise
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2008, 46 (12): : 4014 - 4019
  • [9] Relation between bulk temperature based on in situ temperature profiles and NOAA-AVHRR sea surface temperature data for lake constance
    Thiemann, S
    Haese, C
    Heege, T
    REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY III, 2002, 4542 : 199 - 206
  • [10] Extraction of sea surface temperature in local region from NOAA AVHRR data
    Kageyama, Y
    Nishida, M
    Takeda, T
    IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET, 2002, : 2994 - 2996
12345