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ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Advanced Microwave Scanning Radiometer (AMSR) Level 2 Pre-processed (L2P) product, version 3.0

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DataCite Commons2024-05-07 更新2025-04-16 收录
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https://catalogue.ceda.ac.uk/uuid/15a170dad3064fefa8936bd50877a93e
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资源简介:
This dataset provides global sea surface temperatures (SST) from Advanced Microwave Scanning Radiometers (AMSR), presented on the native geometry of observation (Level 2), and spanning 2002 to 2017. The SST CCI AMSR product contains two different SST estimates. The first is the subskin temperature of the water at the time it was observed. The second is an estimate of the temperature at 20 cm depth at either 1030h or 2230h local time, which closely approximates the daily mean SST. Each SST value has an associated total uncertainty estimate, and uncertainty estimates for various contributions to that total. Additionally, the AMSR files contain a satellite estimate of the surface wind speed. The dataset has been produced as part of the version 3 Climate Data Record (CDR) produced by the European Space Agency (ESA) Climate Change Initiative Sea Surface Temperature project (ESA SST_cci). The CDR accurately maps the surface temperature of the global oceans over the period 1980 to 2021 using observations from many satellites, with a high degree of independence from in situ measurements. The data provide independently quantified SSTs to a quality suitable for climate research. Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ When citing this dataset please also cite the associated data paper: Embury, O., Merchant, C.J., Good, S.A., Rayner, N.A., Høyer, J.L., Atkinson, C., Block, T., Alerskans, E., Pearson, K.J., Worsfold, M., McCarroll, N., Donlon, C. Satellite-based time-series of sea-surface temperature since 1980 for climate applications. Scientific Data 11, 326 (2024). https://doi.org/10.1038/s41597-024-03147-w
提供机构:
NERC EDS Centre for Environmental Data Analysis
创建时间:
2024-05-07
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