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Advances in Meteorology
Volume 2018, Article ID 1381092, 16 pages
https://doi.org/10.1155/2018/1381092
Research Article

Sensitivity Study on the Influence of Parameterization Schemes in WRF_ARW Model on Short- and Medium-Range Precipitation Forecasts in the Central Andes of Peru

1Instituto Geofísico del Perú, Lima, Peru
2Instituto de Meteorología de Cuba, La Habana, Cuba

Correspondence should be addressed to Aldo S. Moya-Álvarez; ep.bog.pgi@ayoma

Received 15 February 2018; Revised 14 April 2018; Accepted 29 April 2018; Published 22 May 2018

Academic Editor: Mario M. Miglietta

Copyright © 2018 Aldo S. Moya-Álvarez et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Y. H. Kuo, J Bresch, M. D. Cheng et al., “Summary of a mini workshop on cumulus parameterization for mesoscale models,” Bulletin of the American Meteorological Society, vol. 78, no. 3, pp. 475–491, 1997. View at Google Scholar
  2. W. Skamarock, J. Klemp, J. Dudhia et al., A Description of the Advanced Research WRF Version 3, NCAR Technical Note, NCAR/TN–468+STR, National Center for Atmospheric Research (NCAR), Mesoscale and Microscale Meteorology Division, Boulder, CO, USA, 2008.
  3. Y. Silva, K. Takahashi, and R. Chávez, “Dry and wet rainy seasons in the Mantaro river basin (Central Peruvian Andes),” Advances in Geosciences, vol. 14, pp. 261–264, 2008. View at Publisher · View at Google Scholar
  4. P. Aceituno, “On the functioning of the southern oscillation in the South American, sector. Part II. Upper-air circulation,” Journal of Climate, vol. 2, no. 4, pp. 341–355, 1989. View at Publisher · View at Google Scholar
  5. M. Vuille, G. Kaser, and I. Juen, “Glacier mass balance variability in the Cordillera Blanca, Peru and its relationship with climate and the large-scale circulation,” Global and Planetary Change, vol. 62, no. 1-2, pp. 14–28, 2008. View at Publisher · View at Google Scholar · View at Scopus
  6. R. Garreaud, “The Andes climate and weather,” Advances in Geosciences, vol. 22, pp. 3–11, 2009. View at Publisher · View at Google Scholar
  7. A. G. Martínez, E. Núñez, Y. Silva et al., “Vulnerability and adaptation to climate change in the Peruvian Central Andes: results of a pilot study,” in Proceedings of the International Conference on Southern Hemisphere Meteorology and Oceanography (ICSHMO), pp. 297–305, Foz do Iguaçu, PR, Brazil, April 2006.
  8. B. S. Barrett, R. Garreaud, and M. Falvey, “Effect of the Andes cordillera on precipitation from a midlatitude cold front,” Monthly Weather Review, vol. 137, no. 9, pp. 3092–3109, 2009. View at Publisher · View at Google Scholar · View at Scopus
  9. M. Viale and F. A. Norte, “Strong cross-barrier flow under stable conditions producing intense winter orographic precipitation: a case study over the subtropical central Andes,” Weather and Forecasting, vol. 24, no. 4, pp. 1009–1031, 2009. View at Publisher · View at Google Scholar · View at Scopus
  10. P. A. Jiménez, J. Dudhia, J. F. González-Rouco et al., “An evaluation of WRF’s ability to reproduce the surface wind over complex terrain based on typical circulation patterns,” Journal of Geophysical Research: Atmospheres, vol. 118, no. 14, pp. 7651–7669, 2013. View at Publisher · View at Google Scholar · View at Scopus
  11. T. M. Weckwerth, I. J. Bennett, L. Jay Miller et al., “An observational and modeling study of the processes leading to deep, moist convection in complex terrain,” Monthly Weather Review, vol. 142, no. 8, pp. 2687–2708, 2014. View at Publisher · View at Google Scholar · View at Scopus
  12. C. Junquas, K. Takahashi, T. Condom et al., “Understanding the influence of orography on the precipitation diurnal cycle and the associated atmospheric processes in the central Andes,” Climate Dynamics, pp. 1–23, 2017. View at Publisher · View at Google Scholar · View at Scopus
  13. Z. I. Janjic, “Nonsingular implementation of the Mellor-Yamada level 2.5 scheme in the NCEP meso model,” NCEP Office Note, no. 437, p. 61, 2002. View at Google Scholar
  14. S.-Y. Hong, Y. Noh, and J. Dudhia, “A new vertical diffusion package with an explicit treatment of entrainment processes,” Monthly Weather Review, vol. 134, no. 9, pp. 2318–2341, 2006. View at Publisher · View at Google Scholar · View at Scopus
  15. Z. I. Janjic, “The step-mountain eta coordinate model: further developments of the convection, viscous sublayer, and turbulence closure scheme,” Monthly Weather Review, vol. 122, no. 5, pp. 927–945, 1994. View at Publisher · View at Google Scholar
  16. G. A. Grell and S. R. Freitas, “A scale and aerosol aware stochastic convective parameterization for weather and air quality modeling,” Atmospheric Chemistry and Physics, vol. 14, no. 10, pp. 5233–5250, 2014. View at Publisher · View at Google Scholar · View at Scopus
  17. G. Thompson, P. R. Field, R. F. Rasmussen, and W. D. Hall, “Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part II: implementation of a new snow parameterization,” Monthly Weather Review, vol. 136, no. 12, pp. 5095–5115, 2008. View at Publisher · View at Google Scholar · View at Scopus
  18. H. Morrison, G. Thompson, and V. Tatarskii, “Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: comparison of one- and two-moment schemes,” Monthly Weather Review, vol. 137, no. 3, pp. 991–1007, 2009. View at Publisher · View at Google Scholar · View at Scopus
  19. Y. L. Lin, R. D. Farley, and H. D. Orville, “Bulk parametrization of the snow field in a cloud model,” Journal of Climate and Applied Meteorology, vol. 22, no. 6, pp. 1065–1092, 1983. View at Publisher · View at Google Scholar
  20. J. Done, C. A. Davis, and M. Weisman, “The next generation of NWP: explicit forecasts of convection using the weather research and forecasting (WRF) model,” Atmospheric Science Letters, vol. 5, no. 6, pp. 110–117, 2004. View at Publisher · View at Google Scholar · View at Scopus
  21. E. K. Gilliland and C. M. Rowe, “A comparison of cumulus parameterization schemes in the WRF model,” in Proceedings of the 87th AMS Annual Meeting and 21st Conference on Hydrology, San Antonia, TX, USA, January 2007.
  22. T. G. Farr, P. A. Rosen, E. Caro et al., “The shuttle radar topography mission,” Reviews of Geophysics, vol. 45, no. 2, 2007. View at Publisher · View at Google Scholar · View at Scopus
  23. E. Rodriguez, C. S. Morris, and J. E. Belz, “A global assessment of the SRTM performance,” Photogrammetric Engineering and Remote Sensing, vol. 72, no. 3, pp. 249–260, 2006. View at Publisher · View at Google Scholar · View at Scopus
  24. D. B. Gesch, K. L. Verdin, and S. K. Greenlee, “New land surface digital elevation model covers the earth,” Eos, Transactions American Geophysical Union, vol. 80, no. 6, pp. 69-70, 1999. View at Publisher · View at Google Scholar · View at Scopus
  25. A. Orr, C. Listowski, M. Cottet et al., “Sensitivity of simulated summer monsoonal precipitation in Langtang Valley, Himalaya, to cloud microphysics schemes in WRF,” Journal of Geophysical Research: Atmospheres, vol. 122, no. 12, pp. 6298–6318, 2017. View at Publisher · View at Google Scholar · View at Scopus
  26. R. K. Shrestha, P. J. Connolly, and M. W. Gallagher, “Sensitivity of WRF cloud microphysics to simulations of a convective storm over the Nepal Himalayas,” The Open Atmospheric Science Journal, vol. 11, no. 1, pp. 29–43, 2017. View at Publisher · View at Google Scholar
  27. M. Rajeevan, A. Kesarkar, S. B. Thampi, T. N. Rao, B. Radhakrishna, and M. Rajasekhar, “Sensitivity of WRF cloud microphysics to simulations of a severe thunderstorm event over Southeast India,” Annales Geophysicae, vol. 28, no. 2, pp. 603–619, 2010. View at Publisher · View at Google Scholar · View at Scopus
  28. Y. G. Mayor and M. D. S. Mesquita, “Numerical simulations of the 1 May 2012 deep convection event over Cuba: sensitivity to cumulus and microphysical schemes in a high-resolution model,” Advances in Meteorology, vol. 2015, Article ID 973151, 16 pages, 2015. View at Publisher · View at Google Scholar · View at Scopus
  29. M Tewari, F. Chen, W. Wang et al., “Implementation and verification of the unified NOAH land surface model in the WRF model,” in Proceedings of the 20th Conference on Weather Analysis and Forecasting/16th Conference on Numerical Weather Prediction, pp. 11–15, Seattle, WA, USA, January 2004.
  30. C. A. Paulson, “The mathematical representation of wind speed and temperature profiles in the unstable atmospheric surface layer,” Journal of Applied Meteorology, vol. 9, no. 6, pp. 857–861, 1970. View at Publisher · View at Google Scholar
  31. A. J. Dyer and B. B. Hicks, “Flux–gradient relationships in the constant flux layer,” Quarterly Journal of the Royal Meteorological Society, vol. 96, no. 410, pp. 715–721, 1970. View at Publisher · View at Google Scholar · View at Scopus
  32. E. K. Webb, “Profile relationships: the log-linear range, and extension to strong stability,” Quarterly Journal of the Royal Meteorological Society, vol. 96, no. 407, pp. 67–90, 1970. View at Publisher · View at Google Scholar · View at Scopus
  33. D. Zhang and R. A. Anthes, “A high-resolution model of the planetary boundary layer—sensitivity tests and comparisons with SESAME–79 data,” Journal of Applied Meteorology, vol. 21, no. 11, pp. 1594–1609, 1982. View at Publisher · View at Google Scholar
  34. A. C. M. Beljaars, “The parameterization of surface fluxes in large-scale models under free convection,” Quarterly Journal of the Royal Meteorological Society, vol. 121, no. 522, pp. 255–270, 1994. View at Publisher · View at Google Scholar · View at Scopus
  35. M. J. Iacono, J. S. Delamere, E. J. Mlawer et al., “Radiative forcing by long-lived greenhouse gases: calculations with the AER radiative transfer models,” Journal of Geophysical Research, vol. 113, p. D13, 2008. View at Publisher · View at Google Scholar · View at Scopus
  36. E. J. Mlawer, S. J. Taubman, P. D. Brown, M. J. Iacono, and S. A. Clough, “Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave,” Journal of Geophysical Research: Atmospheres, vol. 102, no. 14, pp. 16663–16682, 1997. View at Publisher · View at Google Scholar
  37. R. M. Goody and Y. L. Yung, Atmospheric Radiation: Theoretical Basis, Oxford University Press, Oxford, UK, 1995, https://www.bookdepository.com/Atmospheric-Radiation-Theoretical-Basis-R-M-Goody/9780195102918.
  38. G. P. Cressman, “An operational objective analysis system,” Monthly Weather Review, vol. 87, no. 10, pp. 367–374, 1959. View at Publisher · View at Google Scholar
  39. E. E. Ebert, “Fuzzy verification of high-resolution gridded forecasts: a review and proposed framework,” Meteorological Applications, vol. 15, no. 1, pp. 51–64, 2008. View at Publisher · View at Google Scholar · View at Scopus
  40. C. Kummerow, J. Simpson, O. Thiele et al., “The status of the tropical rainfall measuring mission (TRMM) after two years in orbit,” Journal of Applied Meteorology, vol. 39, no. 12, pp. 1965–1982, 2000. View at Publisher · View at Google Scholar
  41. G. J. Huffman, D. T. Bolvin, E. J. Nelkin et al., “The TRMM multisatellite precipitation analysis (TMPA): quasi-global, multiyear, combined-sensor precipitation estimates at fine scales,” Journal of Hydrometeorology, vol. 8, no. 1, pp. 38–55, 2007. View at Publisher · View at Google Scholar · View at Scopus
  42. C. Aybar, W. Lavado-Casimiro, A. Huerta et al., Uso del Producto Grillado “PISCO” de precipitación en Estudios, Investigaciones y Sistemas Operacionales de Monitoreo y Pronóstico Hidrometeorológico, Nota Técnica 001 SENAMHI-DHI-2017, Senamhi, Lima, Peru, 2017, ftp://ftp.senamhi.gob.pe/PISCO_v2.0/PISCO-Prec-v2.0.pdf.
  43. S. P. Chavez and K. Takahashi, “Orographic rainfall hot spots in the Andes-Amazon transition according to the TRMM precipitation radar and in situ data,” Journal of Geophysical Research: Atmospheres, vol. 122, no. 11, pp. 5870–5882, 2017. View at Publisher · View at Google Scholar · View at Scopus