2021
DOI: 10.3390/jmse9040401
|View full text |Cite
|
Sign up to set email alerts
|

River Freshwater Contribution in Operational Ocean Models along the European Atlantic Façade: Impact of a New River Discharge Forcing Data on the CMEMS IBI Regional Model Solution

Abstract: River freshwater contribution in the European Atlantic margin and its influence on the sea salinity field are analyzed. The impacts of using a new river discharge database as part of the freshwater forcing in a regional ocean model are assessed. Ocean model scenarios, based on the CMEMS (Copernicus Marine Environment Monitoring Service) operational IBI-MFC (Iberia Biscay Ireland Monitoring Forecasting Centre) model set‑up, are run to test different (observed, modeled and climatological) river and coastal fresh… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
9
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
9

Relationship

4
5

Authors

Journals

citations
Cited by 12 publications
(9 citation statements)
references
References 55 publications
0
9
0
Order By: Relevance
“…To surpass these constraints, reanalysis products are often used to quantify sea surface salinity (e.g., [19]). Copernicus Marine Environment Monitoring Service (CMEMS) provides multiyear global and regional reanalysis products with physical and biogeochemical parameters, including salinity [20]. One regional product is available for the Iberian Region (IBI-Iberia-Biscay-Ireland seas) [21].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…To surpass these constraints, reanalysis products are often used to quantify sea surface salinity (e.g., [19]). Copernicus Marine Environment Monitoring Service (CMEMS) provides multiyear global and regional reanalysis products with physical and biogeochemical parameters, including salinity [20]. One regional product is available for the Iberian Region (IBI-Iberia-Biscay-Ireland seas) [21].…”
Section: Introductionmentioning
confidence: 99%
“…One regional product is available for the Iberian Region (IBI-Iberia-Biscay-Ireland seas) [21]. However, despite its appealing temporal coverage and the 8.3 km/1 day spatial and temporal resolution, the enhancement of land forcing in this type of model, including river discharges, is identified as a priority objective to improve the quality of coastal salinity quantification [20].…”
Section: Introductionmentioning
confidence: 99%
“…A good example of this is the case study presented in Frigstad et al, 2020 where combination of river and coastal national monitoring (fixed stations) with in situ continuous FerryBox data took place. Another good example can be found in Sotillo et al, 2021 where watershed numerical model outputs were used as land forcing in the Atlantic regional model of Copernicus Marine Service (IBI-MFC) finding some model improvement (i.e., better capture of salinity variability and more realistic simulation of baroclinic frontal structures linked to coastal and river freshwater buoyancy plumes). The outputs were compared with Sea Surface Salinity produced from SMOS (European Space Agency's Soil Moisture and Ocean Salinity) daily remotely sensed satellite estimations (Olmedo et al, 2020).…”
Section: Multidisciplinary Data Integrationmentioning
confidence: 99%
“…The presented research is based on outcomes from the Copernicus Marine Service Evolution LAMBDA (Land-Marine Boundary Development & Analysis; hereafter referred to as LAMBDA) project (http://www.cmems-lambda.eu/, accessed on 15 April 2022) that generated watershed model outputs for two Copernicus Marine Environment Monitoring Service (CMEMS) Monitoring Forecasting Centres (MFCs): the Iberia Biscay Irish (IBI-MFC) and the North West Shelf (NWS-MFC). The impact of LAMBDA watershed model inputs in the IBI-MFC was recently analysed by Sotillo et al [8]. Here, we evaluate the differences and impacts between using direct discharges and estuarine proxies on a western Iberia regional ocean model.…”
Section: Introductionmentioning
confidence: 98%