ذاکری، ز.، آزادی، م. و قادر، س.، 1394، بررسی اثر دادهگواری دادههای ماهواره و ایستگاههای دیدبانی بر روی پیشبینیهای مدل WRF: کنفرانس ملی هواشناسی ایران، اردیبهشت 94، یزد.
صفر، م.، احمدی گیوی، ف. و محبالحجه، ع.، 1391، بررسی اثر گوارد دادههای رادار در مدل عددی ARPS در شبیهسازی بارش حاصل از سامانه همدیدی 31 مارس 2009 در منطقه تهران: مجله ژئوفیزیک ایران، 6 (3)، 94-112.
قادر، س.، یازجی، د. و شهبازی، ح.، 1394، پیشبینی میدان باد و سایر میدانهای هواشناسی در محدوده شهر تهران با استفاده از یک سامانه همادی توسعه داده شده برای مدل WRF جهت استفاده در مدلهای آلودگی هوا: چهارمین همایش ملی مدیریت آلودگی هوا و صدا، دی 1394، تهران.
Alapaty, K., Niyogi, D. S., Chen, F., Pyle, P., Chandrasekar, A., and Seaman, N., 2008, Development of the flux-adjusting surface data assimilation system for mesoscale models: Journal of Applied Meteorology and Climatology, 47, 2331–2350.
Argueso, D., Hidalgo-Munoz, J. M., Gamiz-Fortis, S. R., Esteban-Parra, M. J., and Castro-Dıez, Y., 2012, High-resolution projections of mean and extreme precipitation over Spain using the WRF model (2070–2099 versus 1970–1999): Journal of Geophysical Research, 117(12), IOD: 10.129/2011JDO11399.
Barker, D. M., Huang, W., Guo, Y. R., and Xiao, Q. N., 2004, A three dimensional (3DVAR) data assimilation system for use with MM5: Implementation and initial results: Monthly Weather Review, 132, 897–914.
Blum, J., Le Dimet, F. X., and Navon, I. M., 2009, Data assimilation for geophysical fluids: in Handbook of Numerical Analysis. Edited by Temam, R. M., and Tribbia, J. J., Elsevier Science, 777 pp.
Calvetti, L., and Pereira Filho, A. J., 2014, Ensemble hydrometeorological forecasts using WRF hourly QPF and top model for a middle watershed: Advances in Meteorology, 2014, 1–12.
Cardoso, R. M., Soares, P. M. M., Miranda, P. M. A., and Belo-Pereira, M., 2013, WRF high resolution simulation of Iberian mean and extreme precipitation climate: International Journal of Climatology, 33, 2591–2608.
Chambon, P., Zhang, S. Q., Hou, A. Y., Zupanski, M., and Cheung, S., 2013, Assessing the impact of pre-GPM microwave precipitation observations in the Goddard WRF ensemble data assimilation system: Quarterly Journal of the Royal Meteorological Society, 140, 1219–1235.
Chen, M., Xie, P., and Co-authors, 2008, CPC unified gauge-based analysis of global daily precipiation: Western Pacific Geophysics Meeting, Cairns, Australia, 29 July – 1 August, 2008.
Colle, B. A., and Mass, C. F., 2000, High-resolution observations and numerical simulations of easterly gap flow through the Strait of Juan de Fuca on 9–10 December 1995: Monthly Weather Review, 128, 2398–2422.
Courtier, P., Andersson, E., Heckley, W., Pailleux, J., Vasiljevic, D., Hamrud, M., Hollingsworth, A., Rabier, F., and Fisher, M., 1998, The ECMWF implementation of three dimensional variational assimilation (3D-Var). I: Formulation: Quarterly Journal of the Royal Meteorological Society, 124, 1783–1807.
Guo, Y. R., Kuo, Y. H., and Parsons, D., 2000, Four-dimensional variational data assimilation of heterogeneous mesoscale observations for a strong convective case: Monthly Weather Review, 128, 619–643.
Ha, J., Lim, G., and Choi, S., 2014, Assimilation of GPS radio occultation refractivity data with WRF 3DVAR and its impact on the prediction of a heavy rainfall event: Journal of Applied Meteorology and Climatology, 53, 1381–1395.
Hacker, J. P., and Rostkier-Edelstein, D., 2007, PBL state estimation with surface observations, a column model, and an ensemble filter: Monthly Weather Review, 135, 2958–2972.
Inness, P., and Dorling, S., 2013, Operational Weather Forecasting: Wiley-Blackwell, 231 pp.
Kalnay, E., 2003, Atmospheric Modeling, Data Assimilation and Predictability: Cambridge University Press, 341 pp.
Liu, J., Bray, M., and Han, D., 2013, Exploring the effect of data assimilation by WRF-3DVar for numerical rainfall prediction with different types of storm events: Hydrological Processes, 27, 3627–3640.
Lorenz, E. N., 1965, A study of the predictability of a 28-variable atmospheric model: Tellus, 17, 321–333.
Lynch, P., 2011, The Emergence of Numerical Weather Prediction: Richardson's Dream: Cambridge University Press, 1st edition, 290 pp.
Macpherson, B., 2001, Operational experience with assimilation of rainfall data in the Met Office mesoscale model: Meteorology and Atmospheric Physics, 76, 3–8.
Mass, C. F., Ovens, D., Westrick, K., and Colle, B. A., 2002, Does increasing horizontal resolution produce more skillful forecasts: Bulletin American Meteorological Society, 83, 407–430.
Michalakes, J., Chen, S., Dudhia, J., Hart, L., Klemp, J., Middlecoff, J. and Skamarock, W., 2001, Development of a next generation regional weather research and forecast model: Development in Teracomputing, Proceedings of the Ninth ECMWF Workshop on the Use of High Performance Computing in Meteorology, W. Zwieflhofer and N. Kreitz, Eds., World Scientific, 269–276.
Parrish, D. F., and Derber, J. C., 1992, The National Meteorological Center’s spectral statistical interpolation analysis system: Monthly Weather Review, 120, 1747–1763.
Ruggiero, F. H., Modica, G. D., and Lipton, A. E., 2000, Assimilation of satellite imagery data and surface observations to improve analysis of circulations forced by cloud shading contrasts: Monthly Weather Review, 128, 434–448.
Sasaki, Y., 1958, An objective analysis based on the variational method: Journal of the Meteorological Society of Japan, 36, 1–12.
Sasaki, Y., 1970, Some basic formalisms in numerical variational analysis: Monthly Weather Review, 98, 875–883.
Seo, J. H., Lee, Y. H., and Kim, Y. H., 2014, Feature selection for very short-term heavy rainfall prediction using evolutionary computation: Advances in Meteorology, 2014, 1–15.
Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D. M., Wang, W. and Powers, J. G., 2005, A description of the advanced research WRF, Version 2: NCAR Tech, Note NCAR/TN-4681STR, 94 pp.
Sokol, Z., and Rezacova, D., 2006, Assimilation of radar reflectivity into the LMCOSMO model with a high horizontal resolution: Meteorological Applications, 13, 317–330.
Sokol, Z., 2011, Assimilation of extrapolated radar reflectivity into an NWP model and its impact on a precipitation forecast at high resolution: Atmospheric Research, 100, 201–212.
Stensrud, D. J., Yussouf, N., Dowell, D. C., and Coniglio, M. C., 2009, Assimilating surface data into a mesoscale model ensemble: Cold pool analyses from spring 2007: Atmospheric Research, 93, 207–220.
Stephan, K., Klink, S., and Schraff, C., 2008, Assimilation of radar derived rain rates into the convective-scale model COSMO-DE at DWD: Quarterly Journal of the Royal Meteorological Society, 134, 1315–1326.
Wan, Q., and Xu, J., 2011, A numerical study of the rainstorm characteristics of the June 2005 flash flood with WRF/GSI data assimilation system over south-east China: Hydrological Processes, 25, 1327–1341.
Wang W., Bruyère, C., Duda, M., Dudhia, J., Gill, D., Lin, H., Michalakes, J., Rizvi, S., Zhang, X., Beezley, J. D., Coen, J. L., and Mandel, J., 2014, User’s Guide for the Advanced Research WRF (ARW) Version 3.6: NCAR.
Wang, H., Sun, J., Fan, S., and Huang, X. Y., 2013, Indirect assimilation of radar reflectivity with WRF 3D-var and its impact on prediction of four summertime convective events: Journal of Applied Meteorology and Climatology, 52, 889–902.
Warner, T. T., Peterson, R. A., and Treadon, R. E., 1997, A tutorial on lateral boundary conditions as a basic and potentially serious limitation to regional weather prediction: Bulletin of the American Meteorological Society, 78, 2599–2617.
Xiao, Q., and Sun, J., 2007, Multiple-radar data assimilation and short range quantitative precipitation forecasting of a squall line observed during IHOP 2002: Monthly Weather Review, 135, 3381–3404.
Xiong, C. H., Zhang, L. F., Guan, J. P., Peng, J., and Zhang, B., 2013, Analysis and numerical study of a hybrid BGM-3DVAR data assimilation scheme using satellite radiance data for heavy rain forecasts: Journal of Hydrodynamics, 25, 430–439.
Xu, J., Rugg, S., Byerle, L. and Liu, Z., 2009, Weather forecasts by the WRF-ARW model with the GSI data assimilation system in the complex terrain areas of southwest Asia: Weather and Forecasting, 24, 987–1008.
Yesubabu, V., Venkata Srinivas, C., Langodan, S., and Hoteit, I., 2016, Predicting extreme rainfall events over Jeddah, Saudi Arabia: Impact of data assimilation with conventional and satellite observations: Quarterly Journal of the Royal Meteorological Society., 142, 327–348.
Zhang, S. Q., Zupanski, M., Hou, A. Y., Lin, X., and Cheung, S. H., 2013, Assimilation of precipitation-affected radiances in a cloud resolving WRF ensemble data assimilation system: MonthlyWeather Review, 141, 754–772.
Zou, X., Navon, I. M., and Sela, J., 1993, Control of gravitational oscillations in variational data assimilation: Monthly Weather Review, 121, 272–289.