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Preliminary Step Towards Comparing Large Scale Features in Surface Wind Field Between Era-interim Re-analysis and a Higher Resolution Simulation : Volume 10, Issue 1 (11/10/2013)

By Boilley, A.

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Book Id: WPLBN0003982226
Format Type: PDF Article :
File Size: Pages 5
Reproduction Date: 2015

Title: Preliminary Step Towards Comparing Large Scale Features in Surface Wind Field Between Era-interim Re-analysis and a Higher Resolution Simulation : Volume 10, Issue 1 (11/10/2013)  
Author: Boilley, A.
Volume: Vol. 10, Issue 1
Language: English
Subject: Science, Advances, Science
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2013
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

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Ranchin, T., Ghennioui, A., & Boilley, A. (2013). Preliminary Step Towards Comparing Large Scale Features in Surface Wind Field Between Era-interim Re-analysis and a Higher Resolution Simulation : Volume 10, Issue 1 (11/10/2013). Retrieved from http://members.worldlibrary.net/


Description
Description: MINES ParisTech, O.I.E. – Centre Observation, Impacts, Energie, CS 10207 rue Claude Daunesse, 06904 Sophia Antipolis Cedex, France. The weather research and forecasting model (WRF) is initialized with ERA-Interim re-analysis to produce a higher resolution dataset over a one month period. WRF is supposed to introduce small scale information and maintain the mean large scale features. A detailed spectral analysis is performed to verify this statement. It reveals that consistency in large-scale features is not achieved for wavelengths greater than or equal to 6° even with the activation of spectral nudging.

Summary
Preliminary step towards comparing large scale features in surface wind field between ERA-Interim re-analysis and a higher resolution simulation

Excerpt
Blackman, R. B. and Tukey, J. W.: The measurement of power spectra, from the point of view of communications engineering, Dover Publications, 1958.; Castro, C., Pielke, R., and Leoncini, G.: Dynamical downscaling: Assessment of value retained and added using the regional atmospheric modeling system (RAMS) RID A-5015-2009, J. Geophys. Res.-Atmos., 110, D05108, doi:10.1029/2004JD004721, 2005.; Chen, F., Mitchell, K., Schaake, J., Xue, Y. K., Pan, H. L., Koren, V., Duan, Q. Y., Ek, M., and Betts, A.: Modeling of land surface evaporation by four schemes and comparison with FIFE observations, J. Geophys. Res.-Atmos., 101, 7251–7268, doi:10.1029/95JD02165, 1996.; Hong, S.-Y. and Lim, J.-O. J.: The WRF Single-Moment 6-Class Microphysics Scheme (WSM6), J. Korean Meteor. Soc., 42, 129–151, 2006.; Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N., and Vitart, F.: The ERA-Interim reanalysis: configuration and performance of the data assimilation system, Q. J. Roy. Meteor. Soc., 137, 553–597, doi:10.1002/qj.828, 2011.; Fichaux, N., Poglio, T., and Ranchin, T.: Mapping offshore wind resources: Synergetic potential of SAR and scatterometer data, IEEE J. Ocean. Eng., 30, 516–525, doi:10.1109/JOE.2005.857504, 2005.; Heikkilä, U., Sandvik, A., and Sorteberg, A.: Dynamical downscaling of ERA-40 in complex terrain using the WRF regional climate model, Clim. Dynam., 37, 1551–1564, doi:10.1007/s00382-010-0928-6, 2011.; Kain, J. and Fritsch, J.: A One-Dimensional Entraining Detraining Plume Model and Its Application, J. Atmos. Sci., 47, 2784–2802, 2.0.CO;2>doi:10.1175/1520-0469(1990)047<2784:AODEPM>2.0.CO;2, 1990.; Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D. M., Duda, M. G., Huang, X.-Y., Wang, W., and Powers, J. G.: A Description of the Advanced Research WRF Version 3, NCAR technical note, 2008.; Wald, L., Ranchin, T., and Mangolini, M.: Fusion of satellite images of different spatial resolutions: Assessing the quality of resulting images, Photogramm. Eng. Remote Sens., 63, 691–699, 1997.

 

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