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12 results for “Ocean Reanalysis”
CIGAR-CS Global Ocean Reanalysis 1961-2022 Ocean Heat Content
<p>Dataset describing the <strong>CIGAR-CS (v1) </strong>reanalysis Ocean Heat Content.</p> <p><strong>CIGAR</strong>: The CNR ISMAR Global Historical Reanalysis (<a href="http://cigar.ismar.cnr.it">http://cigar.ismar.cnr.it</a>)</p> <p><strong>CS</strong>: Contemporary Stream</p> <p>CIGAR-CS is an ensemble ocean reanalysis with 32 members, covering the period from 1959 to real-time, and based on the NEMO4 model, a variational data assimilation scheme with variational quality control of in-situ profiles and time-varying background-error covariances, a surface correction scheme of air-sea fluxes, a deep-ocean bias correction scheme, and an advanced ensemble generation scheme with stochastic physics and perturbation of input datasets.</p> <p>It includes yearly mean files for each of the <strong>32 ensemble members</strong> from 1961-2022 for these selected variables:<br> - Ocean heat content (full column)<br> - Temperature analysis increments<br> - Surface net air-sea heat fluxes</p> <p>Heat fluxes and analysis increments are provided for potential use in ocean warming attribution studies.</p> <p>To ease the use of the OHC data, all fields are remapped from the irregular ORCA1 tripolar grid (1/3deg to 1deg of spatial resolution) to a regular 0.5degx0.5deg grid through bilinear interpolation.</p> <p>(Note: all diagnostics in the reference paper were computed on the native irregular grid; possible differences, therefore, may exist and are due to the errors introduced by the interpolation)</p>
Country-ocean-moisture-flows-reconciled-with-ERA5-reanalysis obtained processing Lagrangian moisture connections
<p>The dataset "Reconciled global atmospheric moisture flows between countries/oceans and subcontinents" presents tracked volumes of precipitation and evaporation reconciled with reanalysis data, closing the annual hydrological balance, and provides robust estimates of terrestrial moisture recycling and net moisture flows to support global water governance analysis.</p> <p>This repository is supplement to a study by De Petrillo & Fahrländer et al. (2025), which describes the development of the reconciliation framework, includes a perfromance analysis of the method and shows an exemplary case study on the published data. </p> <p>The atmospheric moisture flows are sourced from the UTrack atmospheric moisture flow dataset by Tuinenburg et al. (2020a) (dataset access: Tuinenburg et al., 2020b) and reconciled with ERA5 precipitation and evaporation data (Hersbach et al., 2020) on the mean annual basis in the period 2008-2017, by means of a post-processing framework, based on the Iterative Proportional Fitting (IPF) algorithm.</p> <p>NOTE: The final dataset is available in form of bilateral matrices (country/ocean and subcontinent/ocean) and in form of direct flows (flow edges). Supporting material to read the dataset is in the folder "List" . Processed ERA5 data (where the precipitation-evaporation annual balance is met) and input data to generate the figures are also available.</p> <p>References:</p> <p>De Petrillo, E., Fahrländer, S., Tuninetti, M., Andersen, L.S., Monaco, L., Ridolfi, L., Laio, F. (2025). Reconciling tracked atmospheric moisture flows to close the global freshwater cycle.<em> </em><em>Commun Earth Environ <strong>6</strong>, 347 (2025). </em><a href="https://doi.org/10.1038/s43247-025-02289-y">https://doi.org/10.1038/s43247-025-02289-y</a></p> <p>Tuinenburg, O. A., Theeuwen, J. J. E., & Staal, A. (2020a). High-resolution global atmospheric moisture connections from evaporation to precipitation. <em>Earth System Science Data</em>, <em>12</em>(4), 3177–3188. <a href="https://doi.org/10.5194/essd-12-3177-2020">https://doi.org/10.5194/essd-12-3177-2020</a></p> <p>Tuinenburg, O. A., Theeuwen, J. J. E., Staal, A. (2020b): Global evaporation to precipitation flows obtained with Lagrangian atmospheric moisture tracking. PANGAEA, <a href="https://github.com/ObbeTuinenburg/UTrack_global_database">https://doi.pangaea.de/10.1594/PANGAEA.912710</a></p> <p>Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz‐Sabater, J., et al. (2020). The ERA5 global reanalysis. <em>Quarterly Journal of the Royal Meteorological Society</em>, <em>146</em>(730), 1999–2049. <a href="https://doi.org/10.1002/qj.3803">https://doi.org/10.1002/qj.3803</a></p> <p> </p> <p> </p>
GloRanV14 ocean reanalysis MOC data
<p>MOC estimates from the 1/4 degree GloRanV14 global ocean reanalysis averaged over the time period 2000-2021. The MOC is integrated globally ("moc_glo"), and over the Atlantic ("moc_atl") and Indo-Pacific ("moc_indpac") basins. Further details on this reanalysis product are provided in Baker et al., 2023: South Atlantic overturning and heat transport variations in ocean reanalyses and observation-based estimates (https://sp.copernicus.org/articles/1-osr7/4/2023/).</p> <p>Production of GloRanV14 was funded by the E.U. Copernicus Marine Service.</p>
SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" (Part 2-2)
<p>SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" submitted to GMD. Complete theta data is 174GB. Thus, this dataset is separated into smaller files. These data can be accessed by accessing Zenode links (see below) or downloading from http://sose.ucsd.edu/. <br><br></p>
SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" (Part 2-3)
<p>SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" submitted to GMD. Complete theta data is 174GB. Thus, this dataset is separated into smaller files. These data can be accessed by accessing Zenode links (see below) or downloading from http://sose.ucsd.edu/. </p>
SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" (Part 2-5)
<p>SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" submitted to GMD. Complete theta data is 174GB. Thus, this dataset is separated into smaller files. These data can be accessed by accessing Zenode links (see below) or downloading from http://sose.ucsd.edu/. <br><br></p>
SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" (Part 2-8)
<p>SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" submitted to GMD. Complete theta data is 174GB. Thus, this dataset is separated into smaller files. These data can be accessed by accessing Zenode links (see below) or downloading from http://sose.ucsd.edu/ (recommended). </p>
SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" (Part 2-7)
<p>SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" submitted to GMD. Complete theta data is 174GB. Thus, this dataset is separated into smaller files. These data can be accessed by accessing Zenode links (see below) or downloading from http://sose.ucsd.edu/ (recommended). </p>
SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" (Part 2-1)
<p>SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" submitted to GMD. Complete theta data is 174GB. Thus, this dataset is separated into smaller files. These data can be accessed by accessing Zenode links (see below) or downloading from http://sose.ucsd.edu/ (recommended). <br><br>#2 https://zenodo.org/records/13117976<br>#3 https://zenodo.org/records/13118797<br>#4 https://zenodo.org/records/13118949<br>#5 https://zenodo.org/records/13119899<br>#6 https://zenodo.org/records/13119952<br>#7 https://zenodo.org/records/13121012<br>#8 https://zenodo.org/records/13121700<br>#9 https://zenodo.org/records/13123458</p> <p> </p>
SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" (Part 2-9)
<p>SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" submitted to GMD. Complete theta data is 174GB. Thus, this dataset is separated into smaller files. These data can be accessed by accessing Zenode links (see below) or downloading from http://sose.ucsd.edu/ (recommended). </p>
SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" (Part 2-6)
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SOSE output analyzed in "Evaluation of MITgcm-based ocean reanalysis for the Southern Ocean" (Part 2-4)
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