SUMOS ModSpray23

In the context of the SUMOS research cruise (2021) where sea spray concentrations were measured in February and March 2021 in the Bay of Biscay, the present dataset gathers numerical simulations of sea spray transport achieved with the MesoNH model. This dataset gathers MesoNH model outputs every hour over a 600x600km grid (300x300 cells) centered over the Bay of Biscay. The model was forced using the ECMWF model every three hours. Three sea spray generation functions are used to parameterize the sea spray generation flux: OVA14 (Ovadnevaite et al. 2014), B21A and B21B (Bruch et al. 2021). Modeled number concentrations are extracted at 2 µm radius for OVA14, and 2, 5, 10 and 20 µm for both B21A and B21B. The database presents these concentrations along a horizontal cross-section across the entire domain at 15 meters above mean sea level. This data is presented as 3D matrices structure as follows : Time x Longitude x Latitude. The database also provides the number concentration distribution as a function of particle radius (n(r)) at the location nearest to the Atalante vessel. Both horizontal wind speed components U and V are provided over the entire grid, as well as the horizontal wind speed sqrt(U²+V²) at the location nearest to the Atalante vessel. Units : Wind speed (m/s), number concentrations (#/cm3), Longitude and Latitude (Degrees). More information about the dataset can be found in the publication by (Bruch et al. 2023 – JGR – Atmosphere).

Date (Publication): 2023-07-10T17:00:00

Identifier: http://dataset.osupytheas.fr/geonetwork/srv/resources7d538d6b-dd15-42af-9de7-c9eac27a840d

Unique resource identifier: 10.34930/4bd472f3-683a-4b0c-ba9c-c9c1f20bff8a

Purpose: Mesures physicochimiques des concentrations d’aérosols et des paramètres météorologiques classiques (Pression, Température, humidité, vitesse et direction du vent).

Status: Historical archive

Author

MIO UMR 7294 CNRS - William Bruch ( )

Author

MIO UMR 7294 CNRS - Jacques Piazzola

Point of contact

MIO UMR 7294 CNRS - Céline Quentin

Maintenance and update frequency: As needed

Distributor

MIO UMR 7294 CNRS - Jacques Piazzola

GEMET - Concepts, version 2.4

aérosol atmosphérique
atmosphère
climat
modélisation

Continents, countries, sea regions of the world.

France
Bay of Biscay

Theme

Access constraints: Copyright

Use constraints: otherRestictions

Spatial representation type: Vector

Denominator: 5000

Metadata language: English

Character set: UTF8

Topic category

Oceans
Environment
Climatology, meteorology, atmosphere
Geoscientific information

Begin date: 2021-02-01

End date: 2021-03-31

Description: Northeast Atlantic Ocean (40W)

Supplemental Information: Golfe de Gasgogne, France

Reference system identifier: WGS 1984

Distribution format

relationnal database SQL ( 1.0 )

Author

MIO UMR 7294 CNRS - William Bruch

Point of contact

MIO UMR 7294 CNRS - Céline Quentin

OnLine resource: SUMOS_MNH_Vessel_wind15m.nc ( WWW:DOWNLOAD-1.0-http--download )
Wind speed at 15 m above sea level simulated along R/V Atalante track

OnLine resource: SUMOS_MNH_Vessel_seaspraysOVA14.nc ( WWW:DOWNLOAD-1.0-http--download )
seasprays distribution simulated according OVA14 scheme along R/V Atalante track

OnLine resource: SUMOS_MNH_Vessel_seaspraysB21A.nc ( WWW:DOWNLOAD-1.0-http--download )
seasprays distribution simulated according B21A scheme along R/V Atalante track

OnLine resource: SUMOS_MNH_Vessel_seaspraysB21B.nc ( WWW:DOWNLOAD-1.0-http--download )
seasprays distribution simulated according B21B scheme along R/V Atalante track

OnLine resource: JGR Atmospheres : Atmospheric Sea Spray Modeling in the North-East Atlantic Ocean Using Tunnel-Derived Generation Functions and the SUMOS Cruise Data Set ( DOI )
Bruch, W., Yohia, C., Tulet, P., Limoges, A., Sutherland, P., van Eijk, A. M. J., et al. (2023). Atmospheric sea spray modeling in the North-East Atlantic Ocean using tunnel-derived generation functions and the SUMOS cruise data set. Journal of Geophysical Research: Atmospheres, 128, e2022JD038330. https://doi.org/10.1029/2022JD038330