LOGIN TO YOUR ACCOUNT

Username
Password
Remember Me
Or use your Academic/Social account:

CREATE AN ACCOUNT

Or use your Academic/Social account:

Congratulations!

You have just completed your registration at OpenAire.

Before you can login to the site, you will need to activate your account. An e-mail will be sent to you with the proper instructions.

Important!

Please note that this site is currently undergoing Beta testing.
Any new content you create is not guaranteed to be present to the final version of the site upon release.

Thank you for your patience,
OpenAire Dev Team.

Close This Message

CREATE AN ACCOUNT

Name:
Username:
Password:
Verify Password:
E-mail:
Verify E-mail:
*All Fields Are Required.
Please Verify You Are Human:
fbtwitterlinkedinvimeoflicker grey 14rssslideshare1
Lammert, Andrea; Brümmer, Burghard; Haller, Michael; Müller, Gerd; Schyberg, Harald (2010)
Publisher: Co-Action Publishing
Journal: Tellus A
Languages: English
Types: Article
Subjects:
Operational model analyses of the European Centre for Medium-Range Weather Forecast (ECMWF), the German Weather Service (DWD) and the Norwegian Meteorological Institute (HIRLAM) are compared to data measured by 16 ice buoys and by a research aircraft in eight flight missions during the Fram Strait cyclone experiment FRAMZY in March/April 2007. The sea level pressure (SLP) compares well with the buoys for all models, SLP correlations are >0.99, SLP tendency correlations are >0.95 and spatial SLP correlations are >0.94 on the average. The aircraft measurements are used for comparison of the horizontal and vertical boundary layer structure in ECMWF and HIRLAM under cyclonic conditions. Horizontal SLP gradients are slightly underestimated. The surface air temperature (SAT) is too low on the warm side and too high on the cold side of the synoptic systems. The temperature inversion on the cold side is not realistically captured with respect to its base and strength in the ECMWF model and with respect to its thickness in HIRLAM. This results in a wrong vertical structure of humidity and wind. The SAT errors hint at model deficits in the representation of the surface energy balance and the inversion errors hint at deficits in the parametrization of the vertical mixing.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • Affeld, B. 2003. Cyclones in the Arctic and Their Impact on the Sea-Ice Transport trough the Fram Strait (In German). PhD Thesis, Univ. Hamburg.
    • Bru¨mmer, B. (ed.) 2000. Field Experiment FRAMZY 1999-cyclones over Fram Strait and their impact on sea ice: field report with examples of measurements. Ber. Zentrum fu¨r Meeres- und Klimaforschung, Reihe A, No. 33, pp. 176, Univ. Hamburg.
    • Bru¨mmer, B., Thiemann S. and Kirchga¨ßner A. 2000. A cyclone statistics for the Arctic based on European Centre re-analysis data. Met. Atmos. Phys. 75(3-4), 233-250.
    • Bru¨mmer, B., Mu¨ller, G., Affeld, B., Gerdes, R., Karcher, M. and coauthors. 2001. Cyclones over Fram Strait: impact on sea ice and variability. Polar Res., 20, 147-152.
    • Bru¨mmer, B., Launiainen, J., Mu¨ller, G. and Schro¨der, D. 2005a. Field Experiment FRAMZY 2002-second experiment on cyclones over Fram Strait and their impact on sea ice: field report with examples of measurements. Ber. Zentrum fu¨r Meeres- und Klimaforschung, Reihe A, No.37, pp. 154, Univ. Hamburg.
    • Bru¨mmer, B., Mu¨ller, G. and Schro¨der, D. 2005b. In-situ observations in cyclones over Fram Strait. Meteorol. Z. 14(6), 721-734.
    • Bru¨mmer, B., Schro¨der, D., Mu¨ller, G., Spreen, G., Jahnke-Bornemann, A. and co-authors. 2008. Impact of a Fram Strait cyclone on ice edge, drift, divergence and concentration: possibilities and limits of an observational analysis. J. Geophys. Res. 113, C12003, doi: 10.1029/2007JC004149.
    • Gustafsson, N., Berre, L., Ho¨rnquist, S., Huang, X.-Y., Lindskog, M. and co-authors. 2001. Three-dimensional variational data assimilation for a limited area model. Part I: general formulation and the background error constraint. Tellus 53A, 425-446.
    • Ha¨kkinen, S. 1993. An Arctic source for the Great Salinity Anomaly: a simulation of the Arctic ice-ocean system for 1955-1975. J. Geophys. Res. 98, 16397-16410.
    • Ha¨kkinen S. and Geiger, C. A. 2000. Simulated low frequency modes of circulation in the Arctic Ocean. J. Geophys. Res. 105, 6549- 6564.
    • Harder, M., Lemke, P. and Hilmer, M. 1998. Simulation of sea ice transport through Fram Strait: natural variability and sensitivity to forcing. J. Geophys. Res., 103, 5595-5606.
    • Hilmer, M., Harder, M. and Lemke, P. 1998. Sea ice transport: a highly variable link between Arctic and North Atlantic. Geophys. Res. Lett. 25, 3359-3362.
    • Hilmer, M. and Jung, T. 2000. Evidence for a recent change in the link between the North Atlantic Oscillation and Arctic sea ice export. Geophys. Res. Lett. 27, 989-992.
    • Inoue, J., Enomoto, T., Miyoshi, T. and Yamane, S. 2009. Impact of observations from Arctic drifting buoys on the reanalysis of surface fields. Geophys. Res. Lett. 36, L08501, doi:10.1029/2009GL037380.
    • Jahnke-Bornemann, A. and Bru¨mmer, B. 2009. The Iceland-Lofotes pressure difference: different states of the North Atlantic low-pressure zone. Tellus 61A, 466-475.
    • Kwok, R. and Rothrock, D. A. 1999. Variability of Fram Strait ice flux and North Atlantic Oscillation. J. Geophys. Res. 104, 5177-5189.
    • Lammert, A., Bru¨mmer, B., Ebbers, I. and Mu¨ller, G. 2008. Validation of ECMWF and DWD model analyses with buoy measurements over the Norwegian Sea. Met. Atmos. Phys. 102, 87-96.
    • Persson, A. and Grazzini, F. 2005. User guide to ECMWF forecast products. Technical Report Meteorological Bulletin M3.2, European Centre for Medium-Range Weather Forecast.
    • Polyakov, I. V. and Johnson, M. A. 2000. Arctic decadal and interdecadal variability. Geophys. Res. Lett. 27, 4097-4100.
    • Proshutinsky, A. Y. and Johnson, M. A. 1997. Two circulation regimes of the wind-driven Arctic Ocean. J. Geophys. Res. 102, 12493- 12514.
    • Schro¨der, D. 2004. Cyclone Impact on Sea Ice in the Fram Strait: Modelling and Observations (In German). PhD Thesis, Univ. Hamburg.
    • Schrodin, R. 2002. Quarterly Report of the German NWP System. Technical Report Part 2: Description of the German NWP System, German Weather Service. Available at http://www.dwd.de/en/FundE/ Veroeffentlichung/Quarterly_new/Quartely_new.htm.
    • Serreze, M. C. 1995. Climatological aspects of cyclone development and decay in the Arctic. Atmos. Oceans 33, 1-23.
    • Tisler, P., Vihma, T., Mu¨ller G. and Bru¨mmer, B. 2008. Modelling of warm-air advection over Arctic sea ice. Tellus 60A, 775-788.
    • Unde´n, P., Rontu, L., Ja¨rvinen, H., Lynch, P., Calvo, J. and co-authors. 2002. HIRLAM-5 Scientific Documentation, December 2002. Available at www.hirlam.org.
    • Vinje, T. 2001. Fram Strait ice fluxes and atmospheric circulation: 1950-2000. J. Clim. 14, 3508-3517.
    • Zhang, Y., Walsh, J. E., Zhang, J., Bhatt, U. S. and Ikeda, M. 2004. Climatology and interannual variability of Arctic cyclone activity: 1948-2002. J. Clim. 17, 2300-2317.
  • Inferred research data

    The results below are discovered through our pilot algorithms. Let us know how we are doing!

    Title Trust
    41
    41%
  • No similar publications.

Share - Bookmark

Cite this article

Collected from