High and Ultra-High resolution processing of satellite Sea Surface Temperature data over Southern European Seas in the framework of MyOcean project

被引:174
|
作者
Buongiorno Nardelli, B. [1 ,2 ]
Tronconi, C. [1 ]
Pisano, A. [1 ]
Santoleri, R. [1 ]
机构
[1] CNR, Ist Sci Atmosfera & Clima, Grp Oceanog Satellite, I-80125 Naples, Italy
[2] CNR, Ist Ambiente Marino Costiero, I-80125 Naples, Italy
关键词
Sea Surface Temperature; Operational oceanography; Optimal interpolation; OBJECTIVE ANALYSIS; IN-SITU; VALIDATION; ALGORITHM;
D O I
10.1016/j.rse.2012.10.012
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the framework of the GMES (Global Monitoring for Environment and Security) My Ocean projects, funded by the European Commission, different remotely-sensed Sea Surface Temperature (SST) supercollated (L3S) and interpolated (L4) data are produced and distributed in near-real time by the Consiglio Nazionale delle Ricerche - Istituto di Scienze dell'Atmosfera e del Clima - Gruppo di Oceanografia da Satellite (CNR). These SST products are based on the night-time images collected by the infrared sensors mounted on different satellite platforms and cover the whole Southern European Seas (i.e. the Mediterranean Sea, including the eastern Atlantic Ocean, and the Black Sea). The CNR processing chains include several modules, from the data extraction and preliminary quality control, to cloudy pixel removal and satellite images collating/merging up to US. A two-step algorithm finally allows to interpolate SST data at High (HR 1/16 degrees) and Ultra-High (UHR 1/100 degrees) spatial resolution. The basic design and the main algorithms used in My Ocean processing chains are described hereafter. A validation of the HR super-collating procedure developed during MyOcean is presented. The Mediterranean HR and UHR US and L4 operational products have then been validated vs in situ SST measurements from drifting buoys, covering two years of data (2010-2011). The validation includes a comparison between the UHR CNR L4 and the G1SST 14 developed by Chao et al. (2009). (C) 2012 Elsevier Inc. All rights reserved.
引用
收藏
页码:1 / 16
页数:16
相关论文
共 50 条
  • [21] Estimation of High Resolution Sea Surface Salinity Using Multi Satellite Data and Machine Learning
    Sung, Taejun
    Sim, Seongmun
    Jang, Eunna
    Im, Jungho
    KOREAN JOURNAL OF REMOTE SENSING, 2022, 38 (05) : 747 - 763
  • [22] Performance of high-resolution MUR satellite sea surface temperature data as a proxy for near-surface in situ temperatures on neotropical reefs
    Skerrett, Fiona
    Adelson, Anne
    Collin, Rachel
    LATIN AMERICAN JOURNAL OF AQUATIC RESEARCH, 2024, 52 (02): : 270 - 288
  • [23] A MODIFIED EXTENDED WAVENUMBER-DOMAIN ALGORITHM FOR ULTRA-HIGH RESOLUTION SPACEBORNE SPOTLIGHT SAR DATA PROCESSING
    Gao, Yao
    Liang, Da
    Fang, Tingzhu
    Zhou, Zi-Xuan
    Zhang, Heng
    Wang, Robert
    IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, : 1544 - 1547
  • [24] An automated and high-throughput data processing workflow for PFAS identification in biota by direct infusion ultra-high resolution mass spectrometry
    Dudasova, Silvia
    Wurz, Johann
    Berger, Urs
    Reemtsma, Thorsten
    Fu, Qiuguo
    Lechtenfeld, Oliver J.
    ANALYTICAL AND BIOANALYTICAL CHEMISTRY, 2024, 416 (22) : 4833 - 4848
  • [25] Processing of Ultra-High Resolution Spaceborne Spotlight SAR Data Based on One-Step Motion Compensation
    Xiang, Tianshun
    Zhu, Daiyin
    2017 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP 2017), 2017,
  • [26] PROCESSING OF ULTRA-HIGH RESOLUTION SPACEBORNE SPOTLIGHT SAR DATA BASED ON ONE-STEP MOTION COMPENSATION
    Xiang, Tianshun
    Zhu, Daiyin
    Xu, Fan
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 8933 - 8936
  • [27] DETERMINATION OF SEA-SURFACE TEMPERATURE FROM SATELLITE HIGH RESOLUTION INFRARED WINDOW RADIATION MEASUREMENTS
    SMITH, WL
    RAO, PK
    KOFFLER, R
    CURTIS, WR
    MONTHLY WEATHER REVIEW, 1970, 98 (08) : 604 - &
  • [28] HIGH TEMPORAL RESOLUTION LAND SURFACE TEMPERATURE RETRIEVAL FROM GLOBAL GEOSTATIONARY SATELLITE DATA
    Li, Ruibo
    Li, Hua
    Bian, Zunjian
    Cao, Biao
    Du, Yongming
    Sun, Lin
    Liu, Qinhuo
    2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), 2019, : 1837 - 1840
  • [29] High-resolution sea level change around China seas revealed through multi-satellite altimeter data
    Yuan, Jiajia
    Guo, Jinyun
    Zhu, Chengcheng
    Hwang, Cheinway
    Yu, Daocheng
    Sun, Mingzhi
    Mu, Dapeng
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2021, 102
  • [30] Application of Aerosondes to high-resolution observations of sea surface temperature over Barrow Canyon
    Inoue, J
    Curry, JA
    GEOPHYSICAL RESEARCH LETTERS, 2004, 31 (14) : L143121 - 4