Estimating the reproduction quality of precipitation over the north atlantic and influence of the hydrostatic approximation in the WRF–ARW atmospheric model
- 31 Downloads
The Weather Research and Forecast numerical model (WRF) with the dynamic Advanced Research WRF (ARW) solver was used to simulate the winter (January 2016) and summer (July 2015) atmospheric state over the North Atlantic with a high (15 km) spatial resolution. The quality of precipitation modeling was validated by remote sensing Global Precipitation Measurements (GPM) data and atmospheric ERA-Interim reanalysis. Nonhydrostatic and hydrostatic equations for the vertical velocity were additionally used to investigate their influence on the accuracy of the precipitation modeling results. It was shown that the model in this configuration satisfactorily reproduces the precipitation field. No evidence of hydrostatic approximation was revealed (over a simulation domain with a resolution of 15 km, simplified topography, and parameterizations of convection and microphysical processes).
Unable to display preview. Download preview PDF.
- 2.M. Yu. Markina and A. V. Gavrikov, “Wave climate variability in the North Atlantic in recent decades in the winter period using numerical modeling,” Oceanology (Engl. Transl.) 56, 320–325 (2016).Google Scholar
- 3.Recommendations for Hydrometeorological Stations and Posts (Gidrometeoizdat, Leningrad, 1985), No. 3, Part 1.Google Scholar
- 4.W. D. Collins, P. J. Rasch, B. A. Boville, et al., Description of the NCAR Community Atmosphere Model (CAM 3.0) (National Center for Atmospheric Research, Boulder, CO, 2004), No. 226.Google Scholar
- 7.G. Huffman, D. Bolvin, and E. J. Nelkin, Integrated multi-satellite retrievals for GPM (IMERG), version 4.4. ftp://arthurhou.pps.eosdis.nasa.gov/gpmdata/. Accessed March 31, 2015.Google Scholar
- 9.Z. I. Janjic, Nonsingular Implementation of the Mellor- Yamada Level 2.5 Scheme in NCEP Meso-Model (National Center for Environmental Prediction, College Park, MD, 2001), No. 437.Google Scholar
- 12.E. Sharifi, R. Steinacker, and B. Saghafian, “Assessment of GPM-IMERG and other precipitation products against Gauge data under different topographic and climatic conditions in Iran: preliminary results,” Remote Sens. 8 (135), (2016). doi 10.3390/rs8020135Google Scholar
- 13.A. Simmons, S. Uppala, D. Dee, et al., ERA-Interim: New ECMWF Reanalysis Products from 1989 Onwards. ECMWF Newsletter No. 110 (European Centre for Medium-Range Weather Forecasts, Reading, 2007), pp. 25–35.Google Scholar
- 14.W. C. Skamarock, J. B. Klemp, J. Dudhia, et al., A Description of the Advanced Research WRF Version 3 (National Center for Atmospheric Research, Boulder, CO, 2008), No. 125.Google Scholar
- 15.S. S. Zilitinkevich, “Non-local turbulent transport pollution dispersion aspects of coherent structure of convective flows,” in Air Pollution III, Vol. 1: Air Pollution Theory and Simulation, Ed. by H Power, N. Moussiopoulos and C. A. Brebbia (Computational Mechanics, Boston, 1995), pp. 53–60.Google Scholar