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Seadatacloud Mediterranean Ocean Heat Content Estimate Product Information Document (PIDoc) SeaDataCloud Mediterranean Ocean Heat Content estimate SDC_MED_DP2 HORIZON 2020 2020 [email protected] – www.seadatanet.org SeaDataCloud - Further developing the pan-European infrastructure for marine and ocean data management Grant Agreement Number: 730960 Product Name SDC_MED_DP2 Extended name SeaDataCloud Mediterranean Sea - Ocean Heat Content 1955-2018 Product DOI https://doi.org/10.12770/504ea4ee-abee-4ebf-ab89-c4200e1cdad4 Short description Ocean Heat Content estimates over the 0-700m and 0-2000m layers have been obtained from temperature sliding decadal fields computed with DIVAnd tool Authors Simona Simoncelli and Paolo Oliveri Dissemination Copyright terms Public How to Cite History Version Authors Date Comments V1 S. Simoncelli and P. Oliveri 07/12/2020 first draft A. Iona 11/01/2021 review V2 S. Simoncelli 21/01/2021 second version V. Myroshnychenko 12/02/2021 second review V3 S. Simoncelli 17/02/2021 final version [email protected] – www.seadatanet.org SeaDataCloud - Further developing the pan-European infrastructure for marine and ocean data management Grant Agreement Number: 730960 2 Table of contents Abstract ................................................................................................................................................................... 4 1. Input Data ........................................................................................................................................................... 5 1.1. General description of the input SeaDataCloud data set ............................................................................. 5 1.2. Coriolis Global CORA 5.2 REP data set ......................................................................................................... 7 1.3. Integration of SDC and CORA5.2 data sets ................................................................................................. 10 2. Methodology ..................................................................................................................................................... 14 2.1. Data QC ...................................................................................................................................................... 14 2.2. DIVA implementation and settings ............................................................................................................ 14 2.2.1. DIVAnd settings ................................................................................................................................... 15 2.3. Mediterranean Ocean Heat Content Anomaly .......................................................................................... 16 3. Product Description .......................................................................................................................................... 19 4. Consistency analysis .......................................................................................................................................... 22 5. Technical Specifications .................................................................................................................................... 25 5.1. Product Format .......................................................................................................................................... 25 5.2. Product Usability ........................................................................................................................................ 26 6. References ......................................................................................................................................................... 27 [email protected] – www.seadatanet.org SeaDataCloud - Further developing the pan-European infrastructure for marine and ocean data management Grant Agreement Number: 730960 3 Abstract The SDC_MED_DP2 product contains 55 sliding decadal temperature fields (1955-1964, 1956-1965, 1957-1966, …, 2009-2018) at 1/8° horizontal resolution obtained in the 0-2000m layer and two derived OHC annual anomaly estimates for the 0-700m and the 0-2000m layers. Sliding decades of annual Temperature fields were obtained from an integrated Mediterranean Sea dataset covering the time period 1955-2018, which combines data extracted from SeaDataNet infrastructure at the end of July 2019 (SDC_MED_DATA_TS_V2, https://doi.org/10.12770/3f8eaace-9f9b-4b1b-a7a4-9c55270e205a) and the Coriolis Ocean Dataset for Reanalysis (CORA 5.2, accessed in July 2020, https://archimer.ifremer.fr/doc/00595/70726/). The resulting annual OHC anomaly time series span the 1960-2014 period. The analysis was performed with the DIVAnd (Data-Interpolating Variational Analysis in n dimensions), version 2.6.1. Whenever SDC_MED_DP2 product is used, PIDoc should be cited in any publication. The data products providers normally possess insight on the quality and context of the product and tools not always shared with the SeaDataCloud team. Hence, inviting data providers and product leaders to collaborate in scientific investigations that depend on their data products is considered good and fair practice. Importantly, this will promote further sharing of products and will be beneficial to science. [email protected] – www.seadatanet.org SeaDataCloud - Further developing the pan-European infrastructure for marine and ocean data management Grant Agreement Number: 730960 4 1. Input Data 1.1. General description of the input SeaDataCloud data set The SDC_MED_DP2 product contains Temperature climatological fields for the Mediterranean Sea at 1/8 of degree of horizontal resolution on 92 standard levels. Annual fields from sliding decades were produced over the time period 1955-2018. The climatological fields were obtained from an integrated dataset which combines data extracted from SeaDataNet infrastructure and the Coriolis Ocean Dataset for Reanalysis (CORA), version 5.2 (July 2020 update). Temperature profiles with Quality Flags (QF) 1 (good) and 2 (probably good) have been extracted from SDC_MED_DATA_TS_V2 unrestricted and restricted data collections to be used for the climatology generation. The SDC_MED_DATA_TS_V2 collections have been obtained harvesting all measurements contained within SeaDataNet infrastructure at the end of July 2019. Simoncelli et al. (2020) describes the data set and the quality assessment procedures applied. SDC_MED_DATA_TS_V2 contains 1003258 stations, among which 997255 temperature profiles. Thermosalinograph (TSG hereafter) data (total 808364 stations) have been discarded due to their peculiar spatial and temporal distribution (see Fig.9 in Simoncelli et al., 2020) along trajectories at the near surface and their availability only after year 2000. The collection of restricted data consists of 22503 stations. Unrestricted and restricted data have been merged in ODV obtaining 216859 stations (without TSG). The duplicate check identified and removed 74 stations. The dataset contains in total 216759 temperature profiles spatially distributed as in Figure 1. Figure 2 presents the temporal data distribution, which is characterized by a data availability increase starting in late eighties and a reduction in the recent years, due to the time lag that occurs among sampling and data submission into the SeaDataNet infrastructure. Data availability is maximum during summertime thanks to the favorable sampling conditions. [email protected] – www.seadatanet.org SeaDataCloud - Further developing the pan-European infrastructure for marine and ocean data management Grant Agreement Number: 730960 5 Figure 1 Distribution (top) and data density (bottom) maps of SeaDataCloud unrestricted and restricted Temperature stations used as input SDC_MED_DP2 product. Figure 2 Temporal distribution of SeaDataCloud unrestricted and restricted Temperature stations: (left panel) annual distribution, and (right panel) seasonal distribution. [email protected] – www.seadatanet.org SeaDataCloud - Further developing the pan-European infrastructure for marine and ocean data management Grant Agreement Number: 730960 6 1.2. Coriolis Global CORA 5.2 REP data set CORA 5.2 data set (Szekely et al., 2019), distributed through the Copernicus Marine Environment Monitoring Service (hereafter CMEMS), contains in-situ observations yearly delivery in delayed mode. The in situ delayed mode product integrates the best available version of in situ data for temperature and salinity measurements. These data are collected from main global networks (Argo, GOSUD, OceanSITES) completed by European data provided by EUROGOOS regional systems and national systems by the regional INS TAC components. The 5.2 version is a merged product between the previous version of CORA and EN4 distributed by the Met Office for the period 1950-1990. The data set covers the global ocean over the time period 1950-June 2019 (July 2020 access). The sub-set of data covering the Mediterranean Sea domain (Longitude > -5.5 degrees) has been downloaded and used to generate SDC_MED_CLIM_TS_V2 climatology. The CORA file system is based on several daily file types corresponding to the instrument type of the data provider. The following data types have been considered to be integrated with the SDC data set: PR_PF files: data from Argo floats directly received from DACS (RT and DM if available). These data have a nominal accuracy of 0.01°C and 0.01 PSU and are transmitted with full resolution; PR_CT files: contains CTD data from
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