2018
DOI: 10.1016/j.ocemod.2018.07.002
|View full text |Cite
|
Sign up to set email alerts
|

JRA-55 based surface dataset for driving ocean–sea-ice models (JRA55-do)

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

3
341
0

Year Published

2018
2018
2021
2021

Publication Types

Select...
5
5

Relationship

0
10

Authors

Journals

citations
Cited by 399 publications
(344 citation statements)
references
References 53 publications
3
341
0
Order By: Relevance
“…Realistically simulating the narrow‐banded zonal current system of the tropical Atlantic still proves a challenge to ocean models. A promising approach to improve its representation in OGCMs is to increase the horizontal and temporal resolution of the wind forcing as done in the new JRA55‐do surface data set (Tsujino et al, ). Our results show a relationship between the interannual NEUC and wind stress curl variability in TRATL01 (Figure ), which suggests that the wind forcing plays an important role.…”
Section: Resultsmentioning
confidence: 99%
“…Realistically simulating the narrow‐banded zonal current system of the tropical Atlantic still proves a challenge to ocean models. A promising approach to improve its representation in OGCMs is to increase the horizontal and temporal resolution of the wind forcing as done in the new JRA55‐do surface data set (Tsujino et al, ). Our results show a relationship between the interannual NEUC and wind stress curl variability in TRATL01 (Figure ), which suggests that the wind forcing plays an important role.…”
Section: Resultsmentioning
confidence: 99%
“…Note that although atmospheric products that incorporate scatterometer winds such as CFSR or JRA55-do (Tsujino et al, 2018) should act in a similar way as QuikSCAT, they do not strongly resemble scatterometer data, for example, at ocean fronts, suggesting that the assimilation does not strongly constrain the near-surface JRA55-do (Abel, 2018). and (Renault, McWilliams, & Masson, 2017) have identified relationships linking the wind and stress response to the oceanic surface currents.…”
Section: Mimicking Scatterometer Windsmentioning
confidence: 99%
“…The model simulation has been started from rest, with climatological temperature and salinity values from EN4 (Good et al, 2013). Atmospheric forcing fields from JRA-55-DO (Tsujino et al, 2018) have been used to complete a 60year model hindcast from 1958 to 2018. This hindcast has already been used to characterize the summer 2017/18 MHW in the Tasman Sea (Salinger et al, 2019).…”
Section: Model Descriptionmentioning
confidence: 99%