Skip to main content
Log in

The North Atlantic High-Resolution Regional Climate Model Experiment for Oceanic and Atmospheric Applications

  • MARINE PHYSICS
  • Published:
Oceanology Aims and scope

Abstract

We present a high-resolution historical analysis of the atmosphere over the North Atlantic for the period from January 1979 to December 2018. The dataset was obtained using the nonhydrostatic atmospheric model WRF-ARW version 3.8.1 and contains two experiments that differ in spatial resolution: 14 km (HiRes) and 77 km (LoRes). Except for the spatial resolution, the configuration remained identical in both experiments: 50 vertical sigma-levels (starting from ~12 m up to 50 hPa); ERA-Interim reanalysis was used as forcing and spectral nudging. The dataset for HiRes and LoRes experiments was named NAAD (North Atlantic Atmospheric Downscaling). Preliminary results of both HiRes and LoRes reveal good agreement with observations and the ERA-Interim, ERA5, and ASRv2 reanalyses. The NAAD dataset is available online at http://www.naad.ocean.ru and provides a variety of surface and upper-troposphere atmospheric variables with a time step of 3 h.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1.

Similar content being viewed by others

REFERENCES

  1. D. H. Bromwich, et al., “The arctic system reanalysis, version 2,” Bull. Am. Meteorol. Soc. 4 (99), 805–828 (2018).

    Article  Google Scholar 

  2. A. Gavrikov, et al., “RAS-NAAD: 40-year high resolution North Atlantic atmospheric hindcast for multipurpose applications (New dataset for the regional meso-scale studies in the atmosphere and the ocean),” J. Appl. Meteorol. Climatol. 5 (59), 793–817 (2020).

    Article  Google Scholar 

  3. S. Gulev and K. Belyaev, “Probability distribution characteristics for surface air-sea turbulent heat fluxes over the global ocean,” J. Clim. 1 (25), 184–206 (2012).

    Article  Google Scholar 

  4. A. B. M. Jeuken, et al., “On the potential of assimilating meteorological analyses in a global climate model for the purpose of model validation,” J. Geophys. Res.: Atmos. 12 (101), 16939–16950 (1996).

    Article  Google Scholar 

  5. W. M. Kim, et al., “Atmospheric conditions associated with Labrador Sea deep convection: new insights from a case study of the 2006–2007 and 2007–2008 winters,” J. Clim. 14 (29), 5281–5297 (2016).

    Article  Google Scholar 

  6. M. Markina, et al., “Developing configuration of WRF model for long-term high-resolution wind wave hindcast over the North Atlantic with WAVEWATCH III,” Ocean Dyn. 11 (68), 1593–1604 (2018).

    Article  Google Scholar 

  7. W. C. Skamarock, et al., A Description of the Advanced Research WRF, Version 3: NCAR Technical Note, Ed. by W. C. Skamarock, J. B. Klemp, J. Dudhia, D. O. Gill, and D. M. Barker (National Center for Atmospheric Research, Boulder, CO, 2008).

    Google Scholar 

  8. N. Tilinina, A. Gavrikov, and S. K. Gulev, “Association of the North Atlantic surface turbulent heat fluxes with midlatitude cyclones,” Mon. Weather Rev. 11 (146), 3691–3715 (2018).

    Article  Google Scholar 

Download references

Funding

This study was supported by the Ministry of Education and Science of the Russian Federation, no. 05.604.21.0210, identification number RFMEFI60419X0210.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to A. V. Gavrikov or S. K. Gulev.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gavrikov, A.V., Gulev, S.K. The North Atlantic High-Resolution Regional Climate Model Experiment for Oceanic and Atmospheric Applications. Oceanology 60, 725–727 (2020). https://doi.org/10.1134/S0001437020060041

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0001437020060041

Keywords:

Navigation