Baker, LH, Rudd, AC, Migliorini, S, and Bannister, RN (2014) Representation of model error in a convective-scale ensemble prediction system.
Nonlin Processes Geophys, Vol. 21, pp. 19-39.
Beran, MA, and Sutcliffe, JV (1972) An index of flood-producing rainfall based on rainfall and soil moisture deficit.
J Hydrol, Vol. 17, pp. 229-236.
Bhunya, PK, Berndtsson, R, Ojha, CSP, and Mishra, SK (2007) Suitability of Gamma, Chi-square, Weibull, and beta distributions as synthetic unit hydrographs.
J Hydrol, Vol. 334, pp. 28-38.
Bhunya, PK, Mishra, SK, Ojha, CSP, and Berndtsson, R (2004). Parameter estimation of beta distribution for unit hydrograph derivation.
J Hydrol Eng. ASCE, Vol. 9: No. 4, p 325-332.
Bowler, NE, Arribas, A, Mylne, KR, Robertson, KB, and Beare, SE (2008) The MOGREPS short-range ensemble prediction system.
Q J Royal Meteorol Soc, Vol. 134, pp. 703-722.
Brubaker, KL, and Menoes, M (2001). A technique to estimate snow depletion curves from time-series data using the beta distribution. Proceedings of the 58th Eastern Snow Conference. Ottawa, Ontario, Canada: Vol. 58: pp. 343-346.
Buizza, R (1997) Potential forecast skill of ensemble prediction and spread and skill distributions of the ECMWF ensemble prediction system.
Mon Weather Rev, Vol. 125, No. 1, pp. 99-119.
Choi, H, and Nam, KW (2005) Real-time flash flood evaluation by GIS module at mountainous area. Korean Journal of Remote Sensing, Vol. 21, No. 4, pp. 317-327.
Collier, CG (2009) On the propagation of uncertainty in weather radar estimates of rainfall through hydrological models.
Meteorol Appl, Vol. 16, No. 1, pp. 35-40.
Cooke, RA, Mostaghimi, S, and Woeste, F (1995) Effect of hydraulic conductivity probability distribution function on simulated solute leaching.
Water Environ Res, Vol. 67, No. 2, pp. 159-168.
Dance, S, Ebert, E, and Scurrah, D (2010) Thunderstorm strike probability nowcasting.
J Atmos Ocean Technol, Vol. 27, No. 1, pp. 79-93.
Dixon, M, and Wiener, G (1993) TITAN: Thunderstorm identification, tracking, analysis, and nowcasting: A radar-based methodology.
J Atmos Ocean Technol, Vol. 10, No. 6, pp. 785-797.
Duan, Q, Ajami, NK, Gao, X, and Sorooshian, S (2007) Multi-model ensemble hydrologic prediction using Bayesian model averaging.
Adv Water Resour, Vol. 30, pp. 1371-1386.
Georgakakos, KP, Graham, R, Jubach, R, Carpenter, T, Shamir, E, Spencer, C, et al (2013). Global flash flood guidance system, phase I. Hydrologic Research Center (HRC) Technical Report No. 9. Hydrologic Research Center, San Diego, CA, USA.
Germann, U, and Zawadzki, I (2002) Scale-dependence of the predictability of precipitation from continental radar images. Part I: Description of the methodology.
Mon Weather Rev, Vol. 130, pp. 2859-2873.
Hafley, WL, and Schreuder, HT (1977) Statistical distributions for fitting diameter and height data in even-aged stands.
Can J For Res, Vol. 7, No. 3, pp. 481-487.
Han, M (2014). Correction from MAPLE and KLAPS rainfall forecasting. Ph.D. dissertation. Korea University; Seoul, Korea.
Hewitt, CD (2004) Ensembles-based predictions of climate changes and their impacts.
Eos, Trans Am Geophys Union, Vol. 85, No. 52, pp. 566-566.
Hwang, S, Lim, S, Kim, K, and Yoon, J (2013) Verification of characteristics of radar rainfall observation for a real time application of radar rainfall data. Magazine of Korean Soc Hazard Mitig, Vol. 13, No. 4, pp. 72-79.
Jun, C, and Yoo, C (2012) Application of the beta distribution for the temporal quantification of storm events.
J Korea Water Resour Assoc, Vol. 45, No. 6, pp. 531-544.
Jun, C, and Yoo, C (2013) Analysis on the characteristics about representative temporal-distribution of rainfall in the annual maximum independent rainfall events at Seoul using beta distribution.
J Korea Water Resour Assoc, Vol. 46, No. 4, pp. 361-372.
Kang, N, Joo, H, Lee, M, and Kim, HS (2017) Generation of radar rainfall ensemble using probabilistic approach. J Korea Water Resour Assoc, Vol. 50, No. 3, pp. 155-167.
Kay, JK, Kim, HM, Park, YY, and Son, J (2013) Effect of doubling the ensemble size on the performance of ensemble prediction in the warm season using MOGREPS implemented at the KMA.
Adv Atmos Sci, Vol. 30, pp. 1287-1302.
Kim, B, Hong, J, Kim, HS, and Yoon, S (2007) Development of flash flood model using digital terrain analysis model and rainfall RADAR: I. Methodology and model development. Journal of the Korean Society of Civil Engineers, Vol. 27, No. 2B, pp. 151-159.
Kim, S, Kim, H, Kay, J, and Lee, S (2015). Development and evaluation of the high resolution limited area ensemble prediction system in the Korea Meteorological Administration.
Atmosphere. Korean Meteorological Society, Vol. 25: No. 1, p 67-83.
Korea Meteorological Administration (KMA) (2006). Development of monitoring and prediction technology for severe weather (heavy rainfall) over the Korea peninsula. Seoul, Korea.
Korea Meteorological Administration (KMA) (2008). Study on the weather radar application (II). Seoul, Korea.
Korea Meteorological Administration (KMA) (2010). Annual climatological report. Seoul, Korea.
Korea Meteorological Administration (KMA) (2011). Annual climatological report. Seoul, Korea.
Korea Meteorological Administration (KMA) (2012). Ensemble forecasting, forecasting technique in hand 2012. Seoul, Korea.
K-Water (2005). Development of basin water management technology. Daejeon, Korea.
Lee, G, Park, K, Yu, W, Jung, K, and Jang, C (2011) A study on flood damage estimation using DEM-based flood inundation model and MD-FDA.
J Korean Soc Hazard Mitig, Vol. 11, No. 5, pp. 327-336.
Leith, CE (1974) Theoretical skill of Monte Carlo forecasts.
Mon Weather Rev, Vol. 102, No. 6, pp. 409-418.
Lorenz, EN (1969) Atmospheric predictability as revealed by naturally occurring analogues.
J Atmos Sci, Vol. 26, No. 4, pp. 636-646.
Maltamo, M, Puumalainen, J, and Päivinen, R (1995) Comparison of beta and weibull functions for modelling basal area diameter distribution in stands of
pinus sylvestris and
picea abies.
Scand J For Res, Vol. 10, pp. 284-295.
Marshall, JS, and Palmer, WMK (1948) The distribution of raindrops with size.
J Meteor, Vol. 5, No. 4, pp. 165-166.
Migliorini, S, Dixon, M, Bannister, R, and Ballard, S (2011) Ensemble prediction for nowcasting with a convection permitting model-I: Description of the system and the impact of radar-derived surface precipitation rates.
Tellus A: Dynamic Meteorology and Oceanography, Vol. 63, No. 3, pp. 468-496.
Molteni, F, Buizza, R, Palmer, TN, and Petroliagis, T (1996) The ECMWF ensemble prediction system: Methodology and validation.
Q J Royal Meteor Soc, Vol. 122, No. 529, pp. 73-119.
Mueller, C, Saxen, T, Roberts, R, Wilson, J, Betancourt, T, Dettling, S, et al (2003) NCAR auto-nowcast system.
Weather and Forecasting, Vol. 18, pp. 545-561.
National Institute of Meteorological Research (NIMR) (2008). Improvement of quantitative precipitation forecast (QPF) skills in a short-range prediction (II-2). Seoul, Korea.
National Institute of Meteorological Sciences (NIMS) (2009). Development of very short-range prediction system for severe weather. Seoul, Korea.
National Weather Service (NWS) (1998). NCRFC flash flood guidance, office of hydrologic development. National Weather Service, National Oceanic and Atmospheric Administration, Silver Spring MD, USA.
Pearson, K (1934). Tables of the incomplete beta function. Biometrika Office, London, U.K.
Radhakrishna, B, Zawadzki, I, and Fabry, F (2012) Predictability of precipitation from continental radar images. Part V: Growth and decay.
J Atmos Sci, Vol. 69, pp. 3336-3349.
Ricciardi, KL, Pinder, GF, and Belitz, K (2005) Comparison of the log-normal and beta distribution functions to describe the uncertainty in permeability.
J Hydrol, Vol. 313, No. 3–4, pp. 248-256.
Richardson, DS (2000) Skill and relative economic value of the ECMWF ensemble prediction system.
Q J Royal Meteor Soc, Vol. 126, pp. 649-667.
Saito, K, Seko, H, Kawabata, T, Shoji, Y, Kuroda, T, Fujita, T, and Suzuki, O (2011). Studies at MRI toward cloud resolving ensemble NWP. Proceedings of the 11th EMS Annual Meeting. Berlin, Germany.
Seed, AW (2003) A dynamic and spatial scaling approach to advection forecasting.
J Appl Meteor, Vol. 42, pp. 381-388.
Seo, BC (2010). Towards a better representation of radar-rainfall: Filling gaps in understanding uncertainties. PhD dissertation. The University of Iowa; IA, USA.
Sivillo, JK, Ahlquist, JE, and Toth, Z (1997) An ensemble forecasting primer.
Weather and Forecasting, Vol. 12, No. 4, pp. 809-818.
Smith, PJ, Pappenberger, F, Wetterhall, F, Del Pozo, JT, Krzeminski, B, Salamon, P, et al (2016). On the operational implementation of the European flood awareness system (EFAS). In: Adams TE, Pagano TC, eds.
Flood forecasting: A global perspective. p 313-348. Cambridge, MA, USA: Academic Press.
Tracton, MS, and Kalnay, E (1993) Operational ensemble prediction at the national meteorological center: Practical aspects.
Weather and Forecasting, Vol. 8, No. 3, pp. 379-398.
Tribbia, JJ, and Baumhefner, DP (1988) Estimates of the predictability of low-frequency variability with a spectral general circulation model.
J Atmos Sci, Vol. 45, pp. 2306-2318.