全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
Positioning  2018 

Analysis of Extreme Rainfall Event with Different Microphysics and Parameterization Schemes in WRF Model

DOI: 10.4236/pos.2018.91001, PP. 1-11

Keywords: Data Assimilation, NWP Model, Prediction, Parameterization Schemes

Full-Text   Cite this paper   Add to My Lib

Abstract:

In the present study, the imitation of heavy rainfall event which occurred over Jharkhand during 18 August 2016 was taken as a case study. Weather Research and Forecasting (WRF) model has been utilized for this study. National Centers for Environmental Prediction (NCEP) analysis data is compared with GSMaP data with different combination of physical parameterization scheme like microphysics (MP) and cumulus parameterization (CP). In the present study, three MP schemes: Kessler scheme, Lin et al. scheme and WRF Single-moment 6-class scheme with combination of three CP schemes: Betts-Miller-Janjic scheme, Multi-scale Kain-Fritsch scheme and New simplified Arakawa-Schubert scheme have been used. The model predicted humidity, temperature and precipitation were compared with the GSMaP product. The model nicely depicted the cloud pattern and recognized the rain event spatially. The obtained result shows that the model overestimates the precipitation for all the schemes.

References

[1]  Coiffer, J. (2011) Fundamentals of Numerical Weather Prediction. Cambridge University Press, New York.
https://doi.org/10.1017/CBO9780511734458
[2]  Flaounas, E., Bastin, S. and Janicot, S. (2011) Regional Climate Modelling of the 2006 West African Monsoon: Sensitivity to Convection and Planetary Boundary Layer Parameterization Using WRF. Climate Dynamics, 36, 1083-1105.
https://doi.org/10.1007/s00382-010-0785-3
[3]  Sun, X., Xie, L., Semazzi, F.H. and Liu, B. (2014) A Numerical Investigation of the Precipitation over Lake Victoria Basin Using a Coupled Atmosphere-Lake Limited-Area Model. Advances in Meteorology, 2014, 1-15.
https://doi.org/10.1155/2014/960924
[4]  Mayor, Y.G. and Mesquita, M.D. (2015) 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, 2015, Article ID: 973151.
https://doi.org/10.1155/2015/973151
[5]  Mugume, I., Mesquita, M.D., Basalirwa, C., Bamutaze, Y., Reuder, J., Nimusiima, A., Waiswa, D., Mujuni, G., Tao, S. and Ngailo, T.J. (2016) Patterns of Dekadal Rainfall Variation over a Selected Region in Lake Victoria Basin, Uganda. Atmosphere, 7, 150.
https://doi.org/10.3390/atmos7110150
[6]  Tao, S., Shen, S., Li, Y., Wang, Q., Gao, P. and Mugume, I. (2016) Projected Crop Production under Regional Climate Change Using Scenario Data and Modeling: Sensitivity to Chosen Sowing Date and Cultivar. Sustainability, 8, 214.
https://doi.org/10.3390/su8030214
[7]  Kizza, M., Rodhe, A., Xu, C.Y., Ntale, H.K. and Halldin, S. (2009) Temporal Rainfall Variability in the Lake Victoria Basin in East Africa during the Twentieth Century. Theoretical and Applied Climatology, 98, 119-135.
https://doi.org/10.1007/s00704-008-0093-6
[8]  Bentzien, S. and Friederichs, P. (2012) Generating and Calibrating Probabilistic Quantitative Precipitation Forecasts from the High-Resolution NWP Model COSMO-DE. Weather and Forecasting, 27, 988-1002.
https://doi.org/10.1175/WAF-D-11-00101.1
[9]  Beskow, S., Caldeira, T.L., de Mello, C.R., Faria, L.C. and Guedes, H.A.S. (2015) Multi Parameter Probability Distributions for Heavy Rainfall Modeling in Extreme Southern Brazil. Journal of Hydrology: Regional Studies, 4, 123-133.
[10]  Ngailo, T., Shaban, N., Reuder, J., Rutalebwa, E. and Mugume, I. (2016) Non Homogeneous Poisson Process Modelling of Seasonal Extreme Rainfall Events in Tanzania. International Journal of Science and Research (IJSR), 5, 1858-1868.
[11]  Chang, H.I., Kumar, A., Niyogi, D., Mohanty, U., Chen, F. and Dudhia, J. (2009) The Role of Land Surface Processes on the Mesoscale Simulation of the July 26, 2005 Heavy Rain Event over Mumbai, INDIA. Global and Planetary Change, 67, 87-103.
https://doi.org/10.1016/j.gloplacha.2008.12.005
[12]  Braun, S.A. and Tao, W.K. (2000) Sensitivity of High-Resolution Simulations of Hurricane Bob (1991) to Planetary Boundary Layer Parameterizations. Monthly Weather Review, 128, 3941-3961.
https://doi.org/10.1175/1520-0493(2000)129%3C3941:SOHRSO%3E2.0.CO;2
[13]  Mandal, M., Mohanty, U. and Raman, S. (2004) A Study on the Impact of Parameterization of Physical Processes on Prediction of Tropical Cyclones over the Bay of Bengal with NCAR/PSU Mesoscale Model. Natural Hazards, 31, 391-414.
https://doi.org/10.1023/B:NHAZ.0000023359.24526.24
[14]  Rao, D.B. and Prasad, D.H. (2007) Sensitivity of Tropical Cyclone Intensification to Boundary Layer and Convective Processes. Natural Hazards, 41, 429-445.
https://doi.org/10.1007/s11069-006-9052-7
[15]  Fovell, R.G. and Su, H. (2007) Impact of Cloud Microphysics on Hurricane Track Forecasts. Geophysical Research Letters, 34.
https://doi.org/10.1029/2007GL031723
[16]  Anderson, M., Norman, J., Diak, G., Kustas, W. and Mecikalski, J. (1997) A Two-Source Time Integrated Model for Estimating Surface Fluxes Using Thermal Infrared Remote Sensing. Remote Sensing of Environment, 60, 195-216.
https://doi.org/10.1016/S0034-4257(96)00215-5
[17]  Anderson, M.C., Hain, C., Wardlow, B., Pimstein, A., Mecikalski, J.R. and Kustas, W.P. (2011) Evaluation of Drought Indices Based on Thermal Remote Sensing of Evapotranspiration over the Continental United States. Journal of Climate, 24, 2025-2044.
https://doi.org/10.1175/2010JCLI3812.1
[18]  http://journals.ametsoc.org/doi/abs/10.1175/2010JCLI3812.1
[19]  Wan, Z. and Dozier, J. (1996) A Generalized Split-Window Algorithm for Retrieving Land Surface Temperature from Space. IEEE Transactions on Geoscience and Remote Sensing, 34, 892-905.
https://doi.org/10.1109/36.508406
[20]  Weng, Q., Lu, D. and Schubring, J. (2004) Estimation of Land Surface Temperature Vegetation Abundance Relationship for Urban Heat Island Studies. Remote Sensing of Environment, 89, 467-483.
https://doi.org/10.1016/j.rse.2003.11.005
[21]  Zhou, L., Dickinson, R., Tian, Y., Zeng, X., Dai, Y., Yang, Z.L., Schaaf, C., Gao, F., Jin, Y., Strahler, A., Myneni, R.B., Yu, H., Wu, W. and Shaikh, M. (2003) Comparison of Seasonal and Spatial Variations of Albedos from Moderate-Resolution Imaging Spectroradiometer (MODIS) and Common Land Model. Journal of Geophysical Research: Atmospheres, 108, 1-20.

Full-Text

comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133