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==== 1.8.1.2 Reanalysis Products ==== <div id="section-1-8-1-2reanalysis-products-block-1"></div> Advances have been made over the past decade in developing more reliable and more highly resolved ocean and atmosphere reanalysis products. Reanalysis products combine observational data with numerical models through data assimilation to produce physically consistent, and spatially complete ocean and climate products (Balmaseda et al., 2015 <sup>[[#fn:r404|404]]</sup> ; Lellouche et al., 2018 <sup>[[#fn:r405|405]]</sup> ; Storto et al., 2018 <sup>[[#fn:r406|406]]</sup> ; Zuo et al., 2018 <sup>[[#fn:r407|407]]</sup> ). Ocean reanalyses are widely used to understand changes in physical properties (Section 3.2.1, 5.2), extremes (Sections 6.3 to 6.6), circulation (Section 6.6, 6.7) and to provide climate diagnostics (Wunsch et al., 2009 <sup>[[#fn:r408|408]]</sup> ; Balmaseda et al., 2013 <sup>[[#fn:r409|409]]</sup> ; Hu and Sprintall, 2016 <sup>[[#fn:r410|410]]</sup> ; Carton et al., 2018 <sup>[[#fn:r411|411]]</sup> ). Reanalysis products are used in SROCC for assessing climate change process that cause changes in the ocean and cryosphere (e.g., Sections 2.2.1, 3.2.1, 3.3.1, 3.4.1, 5.2.2, 6.3.1, 6.6.1, 6.7.1). Improvements in reanalysis products provide more realistic forcing for regional models, which are used for assessing regional ocean and cryosphere changes that cannot be resolved in global-scale models (e.g., Section 2.2.1; Mazloff et al., 2010 <sup>[[#fn:r412|412]]</sup> ; Fenty et al., 2017 <sup>[[#fn:r413|413]]</sup> ). The weather forecasts, and seasonal to decadal predictions building on reanalysis products have important applications in the early warning systems that reduce risk and aid human adaptation to extreme events (Sections 6.3.4, 6.4.3, 6.5.3, 6.7.3, 6.8.5). <div id="section-1-8-1-3model-simulation-data"></div> <span id="model-simulation-data"></span>
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