Sea surface temperature datasets for climate applications from Phase 1 of the European Space Agency Climate Change Initiative (SST CCI)

被引:136
作者
Merchant, Christopher J. [1 ]
Embury, Owen [1 ]
Roberts-Jones, Jonah [2 ]
Fiedler, Emma [2 ]
Bulgin, Claire E. [1 ]
Corlett, Gary K. [3 ]
Good, Simon [2 ]
McLaren, Alison [2 ]
Rayner, Nick [2 ]
Morak-Bozzo, Simone [1 ]
Donlon, Craig [4 ]
机构
[1] Univ Reading, Reading RG6 6AL, Berks, England
[2] Met Off, Exeter, Devon, England
[3] Univ Leicester, Leicester, Leics, England
[4] European Space Agcy, Estec, NL-2200 AG Noordwijk, Netherlands
来源
GEOSCIENCE DATA JOURNAL | 2014年 / 1卷 / 02期
关键词
sea surface temperature; climate data record; remote sensing; oceanography; infra-red radiometer; TRACK SCANNING RADIOMETERS; SATELLITE RETRIEVALS; RADIATIVE-TRANSFER; OSTIA SYSTEM; RESOLUTION; ELIMINATION; VALIDATION; BIAS; SKIN;
D O I
10.1002/gdj3.20
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Sea surface temperature (SST) datasets have been generated from satellite observations for the period 1991-2010, intended for use in climate science applications. Attributes of the datasets specifically relevant to climate applications are: first, independence from in situ observations; second, effort to ensure homogeneity and stability through the time-series; third, context-specific uncertainty estimates attached to each SST value; and, fourth, provision of estimates of both skin SST (the fundamental measurement, relevant to air-sea fluxes) and SST at standard depth and local time (partly model mediated, enabling comparison with historical in situ datasets). These attributes in part reflect requirements solicited from climate data users prior to and during the project. Datasets consisting of SSTs on satellite swaths are derived from the Along-Track Scanning Radiometers (ATSRs) and Advanced Very High Resolution Radiometers (AVHRRs). These are then used as sole SST inputs to a daily, spatially complete, analysis SST product, with a latitude-longitude resolution of 0.05 degrees C and good discrimination of ocean surface thermal features. A product user guide is available, linking to reports describing the datasets' algorithmic basis, validation results, format, uncertainty information and experimental use in trial climate applications. Future versions of the datasets will span at least 1982-2015, better addressing the need in many climate applications for stable records of global SST that are at least 30 years in length.
引用
收藏
页码:179 / 191
页数:13
相关论文
共 48 条
  • [1] Stability Assessment of the (A)ATSR Sea Surface Temperature Climate Dataset from the European Space Agency Climate Change Initiative
    Berry, David I.
    Corlett, Gary K.
    Embury, Owen
    Merchant, Christopher J.
    REMOTE SENSING, 2018, 10 (01)
  • [2] Quality Assessment of Sea Surface Temperature from ATSRs of the Climate Change Initiative (Phase 1)
    Tsamalis, Christoforos
    Saunders, Roger
    REMOTE SENSING, 2018, 10 (04):
  • [3] Quality Evaluation of the European Space Agency Climate Change Initiative Soil Moisture Product in Gansu Province
    Hu, Die
    Wang, Lijuan
    Sha, Sha
    Guo, Ni
    2018 7TH INTERNATIONAL CONFERENCE ON AGRO-GEOINFORMATICS (AGRO-GEOINFORMATICS), 2018, : 124 - 128
  • [4] Selecting algorithms for Earth observation of climate within the European Space Agency Climate Change Initiative: Introduction to a special issue
    Merchant, Christopher J.
    de Leeuw, Gerrit
    Wagner, Wolfgang
    REMOTE SENSING OF ENVIRONMENT, 2015, 162 : 239 - 241
  • [5] The sea surface temperature climate change initiative: Alternative image classification algorithms for sea-ice affected oceans
    Bulgin, Claire E.
    Eastwood, Steinar
    Embury, Owen
    Merchant, Christopher J.
    Donlon, Craig
    REMOTE SENSING OF ENVIRONMENT, 2015, 162 : 396 - 407
  • [6] Construction of a climate data record of sea surface temperature from passive microwave measurements
    Alerskans, Emy
    Hoyer, Jacob L.
    Gentemann, Chelle L.
    Pedersen, Leif Toudal
    Nielsen-Englyst, Pia
    Donlon, Craig
    REMOTE SENSING OF ENVIRONMENT, 2020, 236
  • [7] A reprocessing for climate of sea surface temperature from the along-track scanning radiometers: A new retrieval scheme
    Embury, Owen
    Merchant, Christopher J.
    REMOTE SENSING OF ENVIRONMENT, 2012, 116 : 47 - 61
  • [8] EVALUATION OF THE EUROPEAN SPACE AGENCY CLIMATE CHANGE INITIATIVE SOIL MOISTURE PRODUCT OVER CHINA USING VARIANCE REDUCTION FACTOR
    Shen, Xiaoji
    An, Ru
    Quaye-Ballard, Jonathan Arthur
    Zhang, Ling
    Wang, Zhe
    JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 2016, 52 (06): : 1524 - 1535
  • [9] Retrieving climate change dependent Sea Surface Temperature (SST) in Southern Turkey by using Landsat thermal imagery
    Muhling, S. M. Kaymaz
    Yabanli, M.
    INDIAN JOURNAL OF GEO-MARINE SCIENCES, 2022, 51 (07) : 597 - 605
  • [10] Sea surface temperature change in the Black Sea under climate change: A simulation of the sea surface temperature up to 2100
    Sakalli, Abdulla
    Basusta, Nuri
    INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (13) : 4687 - 4698