Périmètre du Plan d'Action Territorial du bassin versant de l’Engranne. (périmètre d'application des Mesures Agro-Environnementales Territorialisées - MAET) (métadonnée en cours)

Ocean tide and loading altimetric corrections computed - with SIROCCO Tools : https://sirocco.obs-mip.fr/other-tools/prepost-processing/comodo-tools - from FES2014 atlases : https://doi.org/10.6096/3001 - for all altimetric missions. Validation available at ftp://ftp.legos.obs-mip.fr/pub/ecola/FES2014/CTOH/2021-02-diff-libfes-tools.pdf

X-TRACK, is a regional altimeter products for coastal applications. It has been developed in order to optimize the completeness and the accuracy of the sea surface height information derived from satellite altimetry in coastal ocean areas. 1hz alongtrack SLA are available in 23 regions for different altimetric missions (Topex, Jason-1&2, Geosat, Ers2, Envisat). SLA is computed on a reference track. X-TRACK SLA files hold alongtrack SLA data together with MSSH, FES2012 tide, Dynamic Atmospheric Corrections and distance to coast parameters. Users can both retrieve filtered and non-filtered data. X-TRACK areas : | short name | long name | |:------------|:---------------------------------| | adelie | Adelie-Mertz | | amazon | Amazon | | asa | Atlantic South America | | chinasea | China Sea | | drake | Drake passage | | eaustralia | East Australia | | gom | Gulf of Mexico - Caribbean Sea | | gulfstream | Gulf Stream | | hudson | Hudson Bay | | humboldt | Humboldt current | | kerguelen | Kerguelen Islands | | labrador | Labrador Sea | | medsea | Mediterranean Sea | | nea | North East Atlantic | | nindian | North Indian Ocean | | norway | Norway | | nwa | North West America | | nwp | North West Pacific | | sea | South and East Africa | | wafrica | West Africa | | waustralia | West Australia | | wla | West Latin America - California | | wtp | West Tropical Pacific |

'''Short description:''' The product contains a reprocessed multi year version of the daily composite dataset from SEAICE_GLO_SEAICE_L4_NRT_OBSERVATIONS_011_006 covering the Sentinel1 years from autumn 2014 until 1 year before present '''DOI (product) :''' https://doi.org/10.48670/mds-00328

'''This product has been archived''' '''DEFINITION''' Estimates of Ocean Heat Content (OHC) are obtained from integrated differences of the measured temperature and a climatology along a vertical profile in the ocean (von Schuckmann et al., 2018). The regional OHC values are then averaged from 60°S-60°N aiming i) to obtain the mean OHC as expressed in Joules per meter square (J/m2) to monitor the large-scale variability and change. ii) to monitor the amount of energy in the form of heat stored in the ocean (i.e. the change of OHC in time), expressed in Watt per square meter (W/m2). Ocean heat content is one of the six Global Climate Indicators recommended by the World Meterological Organisation for Sustainable Development Goal 13 implementation (WMO, 2017). '''CONTEXT''' Knowing how much and where heat energy is stored and released in the ocean is essential for understanding the contemporary Earth system state, variability and change, as the ocean shapes our perspectives for the future (von Schuckmann et al., 2020). Variations in OHC can induce changes in ocean stratification, currents, sea ice and ice shelfs (IPCC, 2019; 2021); they set time scales and dominate Earth system adjustments to climate variability and change (Hansen et al., 2011); they are a key player in ocean-atmosphere interactions and sea level change (WCRP, 2018) and they can impact marine ecosystems and human livelihoods (IPCC, 2019). '''CMEMS KEY FINDINGS''' Since the year 2005, the upper (0-700m) near-global (60°S-60°N) ocean warms at a rate of 0.6 ± 0.1 W/m2. Note: The key findings will be updated annually in November, in line with OMI evolutions. '''DOI (product):''' https://doi.org/10.48670/moi-00234

'''DEFINITION''' The temporal evolution of thermosteric sea level in an ocean layer (here: 0-700m) is obtained from an integration of temperature driven ocean density variations, which are subtracted from a reference climatology (here 1993-2014) to obtain the fluctuations from an average field. The regional thermosteric sea level values from 1993 to close to real time are then averaged from 60°S-60°N aiming to monitor interannual to long term global sea level variations caused by temperature driven ocean volume changes through thermal expansion as expressed in meters (m). '''CONTEXT''' The global mean sea level is reflecting changes in the Earth’s climate system in response to natural and anthropogenic forcing factors such as ocean warming, land ice mass loss and changes in water storage in continental river basins (IPCC, 2019). Thermosteric sea-level variations result from temperature related density changes in sea water associated with volume expansion and contraction (Storto et al., 2018). Global thermosteric sea level rise caused by ocean warming is known as one of the major drivers of contemporary global mean sea level rise (WCRP, 2018). '''CMEMS KEY FINDINGS''' Since the year 1993 the upper (0-700m) near-global (60°S-60°N) thermosteric sea level rises at a rate of 1.5±0.1 mm/year.

X-TRACK, is a regional altimeter products for coastal applications. Along-track tidal constants (amplitude, phase lags and associated estimation errors for 73 constituents) derived from the X-TRACK T/P and Jason 1&2 is available every 6-7 km along the satellite ground tracks. X-TRACK areas : | short name | long name | |:------------|:---------------------------------| | adelie | Adelie-Mertz | | amazon | Amazon | | asa | Atlantic South America | | chinasea | China Sea | | drake | Drake passage | | eaustralia | East Australia | | gom | Gulf of Mexico - Caribbean Sea | | gulfstream | Gulf Stream | | hudson | Hudson Bay | | humboldt | Humboldt current | | kerguelen | Kerguelen Islands | | labrador | Labrador Sea | | medsea | Mediterranean Sea | | nea | North East Atlantic | | nindian | North Indian Ocean | | norway | Norway | | nwa | North West America | | nwp | North West Pacific | | sea | South and East Africa | | wafrica | West Africa | | waustralia | West Australia | | wla | West Latin America - California | | wtp | West Tropical Pacific |

'''DEFINITION''' The omi_climate_sst_ibi_trend product includes the Sea Surface Temperature (SST) trend for the Iberia-Biscay-Irish areas over the period 1982-2024, i.e. the rate of change (°C/year). This OMI is derived from the CMEMS REP ATL L4 SST product (SST_ATL_SST_L4_REP_OBSERVATIONS_010_026), see e.g. the OMI QUID, http://marine.copernicus.eu/documents/QUID/CMEMS-OMI-QUID-CLIMATE-SST-IBI_v3.pdf), which provided the SSTs used to compute the SST trend over the Iberia-Biscay-Irish areas. This reprocessed product consists of daily (nighttime) interpolated 0.05° grid resolution SST maps built from re-processed ESA SST CCI, C3S (Embury et al., 2024). Trend analysis has been performed by using the X-11 seasonal adjustment procedure (see e.g. Pezzulli et al., 2005), which has the effect of filtering the input SST time series acting as a low bandpass filter for interannual variations. Mann-Kendall test and Sens’s method (Sen 1968) were applied to assess whether there was a monotonic upward or downward trend and to estimate the slope of the trend and its 95% confidence interval. The reference for this OMI can be found in the first and second issue of the Copernicus Marine Service Ocean State Report (OSR), Section 1.1 (Roquet et al., 2016; Mulet et al., 2018). '''CONTEXT''' Sea surface temperature (SST) is a key climate variable since it deeply contributes in regulating climate and its variability (Deser et al., 2010). SST is then essential to monitor and characterise the state of the global climate system (GCOS 2010). Long-term SST variability, from interannual to (multi-)decadal timescales, provides insight into the slow variations/changes in SST, i.e. the temperature trend (e.g., Pezzulli et al., 2005). In addition, on shorter timescales, SST anomalies become an essential indicator for extreme events, as e.g. marine heatwaves (Hobday et al., 2018). '''CMEMS KEY FINDINGS''' The overall trend in the SST anomalies in this region is 0.012 ±0.001 °C/year over the period 1982-2024. '''DOI (product):''' https://doi.org/10.48670/moi-00257