weather-climate-and-seasonal-forecasting
type: Concept
in scheme: https://vocab.ifremer.fr/scheme/SXT/myocean.area-of-benefit

EARTH SCIENCE>OCEANS>COASTAL PROCESSES>SEA SURFACE HEIGHT
type: Concept
in scheme: https://gcmd.earthdata.nasa.gov/kms/concepts/concept_scheme/sciencekeywords

Not Applicable
type: Concept
in scheme: http://purl.org/myocean/ontology/vocabulary/model-assimilation#

Baltic Sea Mean Sea Level time series and trend from Observations Reprocessing
type: Dataset
access rights: No limitations on public access
description: '''DEFINITION'''The sea level ocean monitoring indicator is derived from the DUACS delayed-time (DT-2021 version, “my” (multi-year) dataset used when available, “myint” (multi-year interim) used after) sea level anomaly maps from satellite altimetry based on a stable number of altimeters (two) in the satellite constellation. These products are distributed by the Copernicus Climate Change Service and the Copernicus Marine Service (SEALEVEL_GLO_PHY_CLIMATE_L4_MY_008_057).The time series of area averaged anomalies correspond to the area average of the maps in the Baltic Sea weighted by the cosine of the latitude (to consider the changing area in each grid with latitude) and by the proportion of ocean in each grid (to consider the coastal areas). The time series are corrected from global TOPEX-A instrumental drift (WCRP Global Sea Level Budget Group, 2018) and regional mean GIA correction (weighted GIA mean of a 27 ensemble model following Spada et Melini, 2019). The time series are adjusted for seasonal annual and semi-annual signals and low-pass filtered at 6 months. Then, the trends/accelerations are estimated on the time series using ordinary least square fit.The trend uncertainty is provided in a 90% confidence interval. It is calculated as the weighted mean uncertainties in the region from Prandi et al., 2021. This estimate only considers errors related to the altimeter observation system (i.e., orbit determination errors, geophysical correction errors and inter-mission bias correction errors). The presence of the interannual signal can strongly influence the trend estimation considering to the altimeter period considered (Wang et al., 2021; Cazenave et al., 2014). The uncertainty linked to this effect is not considered.'''CONTEXT'''Change in mean sea level is an essential indicator of our evolving climate, as it reflects both the thermal expansion of the ocean in response to its warming and the increase in ocean mass due to the melting of ice sheets and glaciers …
license: See Copernicus Marine Environment Monitoring Service Data commitments and licence at: http://marine.copernicus.eu/web/27-service-commitments-and-licence.php
modified: 2023-11-30T00:00:00.000Z
subject: oceans
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theme: sea_surface_height_above_sea_level
theme: Not Applicable
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CatalogRecord
conforms to: https://joinup.ec.europa.eu/release/geodcat-ap/20
modified: 2024-06-13T09:46:47.795Z
source: https://fedeo.ceos.org/collections/OMI_CLIMATE_SL_BALTIC_area_averaged_anomalies

coastal-marine-environment
type: Concept
in scheme: https://vocab.ifremer.fr/scheme/SXT/myocean.area-of-benefit

marine-safety
type: Concept
in scheme: https://vocab.ifremer.fr/scheme/SXT/myocean.area-of-benefit

baltic-sea
type: Concept
in scheme: https://vocab.ifremer.fr/scheme/SXT/myocean.reference-geographical-area

marine-resources
type: Concept
in scheme: https://vocab.ifremer.fr/scheme/SXT/myocean.area-of-benefit

https://fedeo.ceos.org/collections/OMI_CLIMATE_SL_BALTIC_area_averaged_anomalies
type: CatalogRecord
conforms to: ISO19139-2

multi-year
type: Concept
in scheme: https://vocab.ifremer.fr/scheme/SXT/myocean.temporal-scale

N/A
type: Concept
in scheme: https://vocab.ifremer.fr/scheme/SXT/myocean.processing-level

satellite-observation
type: Concept
in scheme: https://vocab.ifremer.fr/scheme/SXT/myocean.discipline

sea_surface_height_above_sea_level
type: Concept
in scheme: http://vocab.nerc.ac.uk/collection/P07/current/