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Development of Operational NWP in Korea: Historical Perspective

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Numerical Weather Prediction: East Asian Perspectives

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Abstract

Over the past 30 years, Numerical Weather Prediction (NWP) in Korea has advanced rapidly due to collaborative efforts between the science community and the operational modeling center, along with improved scientific understanding and the growth of information technology infrastructure, which enables provision of reliable and seamless forecast services 10 days ahead and beyond. This article gives a brief overview of the evolution, latest developments, and future directions of operational NWP in Korea.

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Notes

  1. 1.

    Horizontal and vertical localization scales are specified here as “Daley” length scales (page 110 of Daley 1991). We use approximately Gaussian localization functions \(\mu \left( z \right) = {\text{exp}}\left[ { - z^{2} /\left( {2L^{2} } \right)} \right]\). In this case, the Daley length scale is equal to \(L\).

References

  • Bae SY, Park RS (2019) Consistency between the cloud and radiation processes in a numerical forecasting model. Meteorol Atmos Phys. https://doi.org/10.1007/s00703-018-0647-9

    Article  Google Scholar 

  • Bae SY, Hong SY, Lim KS (2016) Coupling WRF double-moment 6-class microphysics schemes to RRTMG radiation scheme in weather research forecasting model. Adv Meteorol. https://doi.org/10.1155/5070154

    Article  Google Scholar 

  • Bae SY, Hong SY, Tao WK (2019) Development of a single-moment cloud microphysics scheme with prognostic hail for the Weather Research and Forecasting (WRF) model. Asia Pac J Atmos Sci 55:233–245

    Article  Google Scholar 

  • Baek S (2017) A revised radiation package of G-packed McICA and two-stream approximation: performance evaluation in a global weather forecasting model. J Adv Model Earth Syst 9:1628–1640

    Article  Google Scholar 

  • Baek S, Bae SY (2018) New optical properties of ice crystals for multi-class cloud microphysics. J Adv Model Earth Syst. https://doi.org/10.1029/2018MS001398

    Article  Google Scholar 

  • Bechtold P, Kohler M, Jung T et al (2008) Advances in simulating atmospheric variability with the ECMWF model: from synoptic to decadal time scales. Q J Roy Meteorol Soc 134:1337–1351

    Article  Google Scholar 

  • Bernardet L, Carson L, Tallapragada V (2017) The design of a modern information technology infrastructure to facilitate research-to-operations transition for NCEP’s modeling suites. Bull Am Meteorol Soc 88:899–904

    Google Scholar 

  • Brown A et al (2012) Unified modelling and prediction of weather and climate. Bull Am Meteorol Soc 93:1865–1877

    Article  Google Scholar 

  • Chen F, Dudhia J (2000) Coupling an advanced land-surface/hydrology model with the Penn State/NCAR MM5 modeling system. Part I: model description and implementation. Mon Weather Rev 129:569–585

    Article  Google Scholar 

  • Cheong HB (2006) A dynamical core with double Fourier series: comparison with the spherical harmonics method. Mon Weather Rev 134:1299–1315

    Article  Google Scholar 

  • Choi HJ, Chun HY (2011) Momentum flux spectrum of convective gravity waves. Part I: an update of a parameterization using mesoscale simulations. J Atmos Sci 68:739–759

    Article  Google Scholar 

  • Choi HJ, Hong SY (2015) An updated subgrid orographic parameterization for global atmospheric forecast models. J Geophys Res Atmos 120:12445–12457

    Article  Google Scholar 

  • Choi SJ, Hong SY (2016) A global non-hydrostatic dynamical core using the spectral element method on a cubed-sphere grid. Asia-Pac J Atmos Sci 52:291–307

    Article  Google Scholar 

  • Choi SJ, Klemp JB (2021) A new hybrid sigma-pressure vertical coordinate with smoothed coordinate surfaces. Mon Weather Rev 149:4077–4089

    Article  Google Scholar 

  • Choi SJ, Giraldo FX, Kim J et al (2014) Verification of non-hydrostatic dynamical core using the horizontal spectral element method and vertical finite difference method. Geosci Model Dev 7:2717–2731

    Article  Google Scholar 

  • Choi HJ, Han JY, Koo MS et al (2018) Effects of non-orographic gravity wave drag on seasonal and medium-range predictions in a global forecast model. Asia-Pac J Atmos Sci 54:385–402

    Article  Google Scholar 

  • Choi IJ, Park RS, Lee J (2019) Impacts of a newly-developed aerosol climatology on numerical weather prediction using a global atmospheric forecasting model. Atmos Environ 197:77–91

    Google Scholar 

  • Chun HY, Choi HJ, Song IS (2008) Effects of nonlinearity on convectively forced internal gravity waves: application to gravity wave drag parameterization. J Atmos Sci 65:557–575

    Article  Google Scholar 

  • Clayton AM, Lorenc AC, Barker DM (2013) Operational implementation of a hybrid ensemble/4D-Var global data assimilation system at the Met Office. Q J R Meteorol Soc 139:1445–1461

    Article  Google Scholar 

  • Courtier P, Thépaut JN, Hollingsworth A (1994) A strategy for operational implementation of 4D-Var, using an incremental approach. Q J R Meteorol Soc 120(519):1367–1387

    Google Scholar 

  • Daley R (1991) Atmospheric data analysis, 1st edn. Cambridge University Press, New York

    Google Scholar 

  • Dee DP, Da Silva AM (2003) The choice of variable for atmospheric moisture analysis. Mon Weather Rev 131:155–171

    Article  Google Scholar 

  • Dennis J, Edwards J, Evans KJ et al (2011) CAM-SE: a scalable spectral element dynamical core for the community atmosphere model. Int J High Perform Comput Appl 26:74–89. https://doi.org/10.1177/1094342011428142

    Article  Google Scholar 

  • ECMWF (2017) A strategy for data assimilation. Technical memorandum, no. 800. Reading

    Google Scholar 

  • Ek MB, Mitchell KE, Lin Y et al (2003) Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model. J Geophys Res 108(D22). http://doi.org/10.1029/2002JD003296

  • Ek MB, DeLuca C, Bernardet L et al (2019) Hierarchical system development for the unified forecast system. http://ufscommunity.org. Accessed 17 Oct 2022

  • Grell GA (1993) Prognostic evaluation of assumptions used by cumulus parameterizations. Mon Weather Rev 121:764–787

    Article  Google Scholar 

  • Han J, Pan HL (2011) Revision of convection and vertical diffusion schemes in the NCEP global forecast system. Weather Forecast 26:520–533

    Article  Google Scholar 

  • Han JY, Hong SY, Lim KS et al (2016) Sensitivity of a cumulus parameterization scheme to precipitation production representation and its impact on a heavy rain event over Korea. Mon Weather Rev 144:2125–2135

    Article  Google Scholar 

  • Han JY, Kim SY, Choi IJ et al (2019) Effects of the convective triggering process in a cumulus parameterization scheme on the diurnal variation of precipitation over East Asia. Atmosphere 10(1). http://doi.org/10.3390/atmos10010028

  • Han JY, Hong SY, Kwon YC (2020) The performance of a revised simplified Arakawa-Schubert (SAS) convection scheme in the medium-range forecasts of the Korean Integrated Model (KIM). Mon Weather Rev 35:1113–1128

    Google Scholar 

  • Hong SY (2010) A new stable boundary-layer mixing scheme and its impacts on the simulated East Asian summer monsoon. Q J R Meteorol Soc 136:1481–1496

    Article  Google Scholar 

  • Hong SY, Jang J (2018) Impacts of shallow convection processes on a simulated boreal summer climatology in a global atmospheric model. Asia-Pac J Atmos Sci 54(s):361–370

    Google Scholar 

  • Hong SY, Pan HL (1998) Convective trigger function for a mass-flux cumulus parameterization scheme. Mon Weather Rev 126:1599–2620

    Article  Google Scholar 

  • Hong SY, Dudhia J, Chen SH (2004) A revised approach to ice microphysical processes for the bulk parameterization of clouds and precipitation. Mon Weather Rev 132:103–120

    Article  Google Scholar 

  • Hong SY, Noh Y, Dudhia J (2006) A new vertical diffusion package with an explicit treatment of entrainment processes. Mon Weather Rev 134:2318–2341

    Article  Google Scholar 

  • Hong SY, Choi J, Chang EC et al (2008) Lower-tropospheric enhancement of gravity wave drag in a global spectral atmospheric forecast model. Weather Forecast 23:523–531

    Article  Google Scholar 

  • Hong SY, Park H, Cheong JH et al (2013) The Global/Regional Integrated Model system (GRIMs). Asia-Pac J Atmos Sci 49:219–243. https://doi.org/10.1007/s13143-013-0023-0

    Article  Google Scholar 

  • Hong SY, Kwon YC, Kim TH et al (2018) The Korean Integrated Model (KIM) system for global weather forecasting. Asia-Pac J Atmos Sci 54(S):267–292. http://doi.org/10.1007/s13143-018-0028-9

  • Hunt B, Kostelac E, Sundog I (2007) Efficient data assimilation for spatiotemporal chaos: a local ensemble transform Kalman filter. Physica D 230:112–126. https://doi.org/10.1016/j.physd.2006.11.008

    Article  Google Scholar 

  • Iacono MJ, Delamere J, Mlawer E et al (2008) Radiative forcing by long-lived greenhouse gases: calculations with the AER radiative transfer models. J Geophys Res 113:D13103

    Google Scholar 

  • Kang JH, Chun HW, Lee S et al (2018) Development of an observation processing package for data assimilation in KIAPS. Asia Pac J Atmos Sci 54. https://doi.org/10.1007/s13143-018-0030-2

  • Kang JY, Bae SY, Park RS et al (2019) Aerosol indirect effects on the predicted precipitation in a global weather forecasting model. Atmosphere 10(7). http://doi.org/10.3390/atmos10070392

  • Kelly JF, Geraldo FX (2012) Continuous and discontinuous Galerkin methods for a scalable three-dimensional nonhydrostatic atmosphere model: limited area mode. J Comput Phys 231:7988–8008

    Article  Google Scholar 

  • KIAPS (2011) History of operational numerical weather prediction in Korea. Korea Institute of Atmospheric Prediction Systems, Seoul (in Korean)

    Google Scholar 

  • KIAPS (2020) Korea’s next-generation numerical weather prediction. White paper on Korean Integrated Model, Seoul

    Google Scholar 

  • Kim YJ, Arakawa A (1995) Improvement of orographic gravity wave parameterization using a mesoscale gravity wave model. J Atmos Sci 52:1875–1902

    Article  Google Scholar 

  • Kim SY, Hong SY (2018) The use of partial cloudiness in a bulk cloud microphysics scheme: concept and 2D results. J Atmos Sci 75:2711–2719. https://doi.org/10.1175/JAS-D-17-0234.1

    Article  Google Scholar 

  • Kim J, Kwon YC, Kim TH (2018) A scalable high-performance I/O system for a numerical weather forecast model on the cubed-sphere grid. Asia-Pac J Atmos Sci 54. https://doi.org/10.1007/s13143-018-0021-3

  • Kim SY, Hong SY, Kwon YC et al (2019) Effects of modified surface roughness length over shallow waters in a regional model simulation. Atmosphere 10(12). http://doi.org/10.3390/atmos10120818

  • Kleist DT, Ide K (2015) An OSSE-based evaluation of hybrid variational ensemble data assimilation for the NCEP GFS. Part I: system description and 3D-hybrid results. Mon Weather Rev 143:433–451. https://doi.org/10.1175/MWR-D-13-00351.1

    Article  Google Scholar 

  • Klemp JB, Skamarock WC, Dudhia J (2007) Conservative split-explicit time integration methods for the compressible nonhydrostatic equations. Mon Weather Rev 135:2897–2913

    Article  Google Scholar 

  • Koo MS, Baek SH, Seol KH et al (2017) Advances in land modeling of KIAPS based on the Noah land surface model. Asia-Pac J Atmos Sci 53:361–373

    Article  Google Scholar 

  • Koo MS, Choi HJ, Han JY (2018) A parameterization of turbulent-scale and mesoscale orographic drag in a global atmospheric model. J Geophys Res 123:8400–8417. https://doi.org/10.1029/2017JD028176

    Article  Google Scholar 

  • Kwon YC (2023) Korean integrated model operation and updates. In: Park SK (ed) Numerical weather prediction: east Asian perspectives. Springer Nature, Gewerbestrasse (in this volume)

    Google Scholar 

  • Kwon YC, Hong SY (2017) A mass-flux cumulus parameterization scheme across gray-zone resolutions. Mon Weather Rev 145:583–598. https://doi.org/10.1175/MWR-D-16-0034.1

    Article  Google Scholar 

  • Kwon IH, Song HJ, Ha JH et al (2018) Development of an operational hybrid data assimilation system at KIAPS. Asia-Pac J Atmos Sci 54:319–335

    Article  Google Scholar 

  • Laprise R (1992) The Euler equations of motion with hydrostatic pressure as an independent variable. Mon Weather Rev 120:197–207

    Article  Google Scholar 

  • Lee WJ (2010) Weather of Korea—a synoptic climatology. KwangGyo E-tax, Seoul

    Google Scholar 

  • Lee WJ (2013) Valuing investments in data processing and forecasting systems: the implications of an experience at KMA. Bull WMO 62:45–49

    Google Scholar 

  • Lee TY, Hong SY (2005) Physical parameterization in next-generation NWP models. Bull Am Meteorol Soc 86:1615–1618

    Google Scholar 

  • Lee EH, Lee E, Park RS et al (2018) Impact of turbulent mixing in the stratocumulus-topped boundary layer on numerical weather prediction. Asia-Pac J Atmos Sci 54:371–384

    Article  Google Scholar 

  • Lee WJ, Park RS, Kwon IH et al (2023) Numerical weather prediction and forecast application (accepted for publication). Atmosphere Korean Meteorological Society (in Korean)

    Google Scholar 

  • Lim KS, Hong SY (2010) Development of an effective double-moment cloud microphysics scheme with prognostic cloud condensation nuclei (CCN) for weather and climate models. Mon Weather Rev 138:1587–1612

    Article  Google Scholar 

  • Lim KS, Hong SY, Yoon JH et al (2014) Simulation of the summer monsoon rainfall over East Asia using the NCEP GFS cumulus parameterization at different horizontal resolutions. Weather Forecast 29:1143–1154

    Article  Google Scholar 

  • Ludlum DM (1950) The weather and climate of Korea. Weatherwise 3:80–82

    Article  Google Scholar 

  • Lynch P (1997) The Dolph-Chebyshev window: a simple optimal filter. Mon Weather Rev 125(4):655–660

    Article  Google Scholar 

  • Nair RD, Choi HW, Tufo HM (2009) Computational aspect of a scalable high-order discontinuous Galerkin atmospheric dynamical core. Comput Fluids 38:309–319

    Article  Google Scholar 

  • Noh Y, Cheon WG, Hong SY et al (2003) Improvement of the K-profile model for the planetary boundary layer based on large Eddy simulation data. Bound-Layer Meteorol 207:401–427

    Article  Google Scholar 

  • Park SK, Zupanski M (2022) Principles of data assimilation. Cambridge University Press, New York

    Book  Google Scholar 

  • Park RS, Chae JH, Hong SY (2016) A revised prognostic cloud fraction scheme in a global forecasting system. Mon Weather Rev 144:1219–1229

    Article  Google Scholar 

  • Parrish DF, Derber JC (1992) The National Meteorological Center’s spectral statistical-interpolation analysis system. Mon Weather Rev 120:1747–1763

    Article  Google Scholar 

  • Richter JH, Sassi F, Garcia RR (2010) Toward a physically based gravity wave source parameterization in a general circulation model. J Atmos Sci 67:136–156

    Article  Google Scholar 

  • Schar C, Leuenberger D, Fuhrer O et al (2002) A new terrain-following vertical coordinate formulation for atmospheric prediction models. Mon Weather Rev 130:2459–2480

    Article  Google Scholar 

  • Shin HH, Hong SY (2014) Representation of the subgrid-scale turbulent transport in convective boundary layers at gray-zone resolutions. Mon Weather Rev 143:250–271

    Google Scholar 

  • Shin HH, Hong SY (2015) Representation of the subgrid-scale turbulent transport in convective boundary layers at gray-zone resolutions. Mon Weather Rev 143. https://doi.org/10.1175/MWR-D-14-00116.1

  • Shin S, Kang JS, Jo Y (2016) The local ensemble transform Kalman filter (LETKF) with a global NWP model on the cubed sphere. Pure Appl Geophys 173:2555–2570

    Article  Google Scholar 

  • Shin S, Kang JH, Chun HW et al (2018) Real data assimilation using the local ensemble transform Kalman filter (LETKF) system for a global non-hydrostatic NWP model on the cubed-sphere. Asia-Pac J Atmos Sci 54(S1):351–360

    Article  Google Scholar 

  • Skamarock WC, Klemp JB (2008) A time-split nonhydrostatic atmospheric model for weather research and forecasting applications. J Comput Phys 227:3465–3485

    Article  Google Scholar 

  • Skamarock WC, Klemp JB, Dudhia J et al (2021) A description of the advanced research WRF model version 4. NCAR/TN 556+STR, Boulder

    Google Scholar 

  • Sluka TC, Penny SG, Kalnay E et al (2016) Assimilating atmospheric observations into the ocean using strongly coupled ensemble data assimilation. Geophys Res Lett 43(2):752–759

    Article  Google Scholar 

  • Song HJ, Kwon IH (2015) Spectral transformation using a cubed sphere grid for a three-dimensional variational data assimilation system. Mon Weather Rev 143:2581–2599

    Article  Google Scholar 

  • Song HJ, Sohn BJ (2018) An evaluation of WRF microphysics schemes for simulating the warm-type heavy rain over Korean Peninsula. Asia-Pac J Atmos Sci 54:225–236

    Article  Google Scholar 

  • Song HJ, Kwun J, Kwon IH et al (2017) The impact of the nonlinear balance equation on a 3D-Var cycle during an Australian-winter month as compared with the regressed wind-mass balance. Q J R Meteorol Soc 143(2036):2049. https://doi.org/10.1002/qj.3036

    Article  Google Scholar 

  • Song HJ, Ha JH, Kwon IH et al (2018) Multi-resolution hybrid data assimilation core on a cubed-sphere grids (HybDA). Asia-Pac J Atmos Sci 54:337–350

    Article  Google Scholar 

  • Tiedtke M (1989) A comprehensive mass flux scheme for cumulus parameterization in large-scale models. Mon Weather Rev 117:1779–1800

    Article  Google Scholar 

  • Tiedtke M (1993) Representation of clouds in large-scale models. Mon Weather Rev 121:3040–3061

    Article  Google Scholar 

  • Whitaker JS, Hamill TM (2012) Evaluating methods to account for system errors in ensemble data assimilation. Mon Weather Rev 140:3078–3089. https://doi.org/10.1175/MWR-D-11-00276.1

    Article  Google Scholar 

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Acknowledgements

The authors wish to thank the reviewer for the valuable comments which is very helpful to improve the manuscript and to go over future direction for development. This work was carried out through the R&D project on the development of a next-generation NWP system of the KIAPS funded by KMA 2020-02212.

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Authors and Affiliations

  1. Korea Institute of Atmospheric Prediction Systems, Park Square 4F, 35 Boramae-ro 5-gil, Dongjak-gu, Seoul, 07071, Republic of Korea

    Woo-Jin Lee, Rae-Seol Park, In-Hyuk Kwon, Adam Clayton, Junghan Kim & In-Jin Choi

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  1. Woo-Jin Lee
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Correspondence to Woo-Jin Lee .

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  1. Dept of Climate & Energy System Engineering, Ewha Womans University, Seoul, Korea (Republic of)

    Seon Ki Park

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Lee, WJ., Park, RS., Kwon, IH., Clayton, A., Kim, J., Choi, IJ. (2023). Development of Operational NWP in Korea: Historical Perspective. In: Park, S.K. (eds) Numerical Weather Prediction: East Asian Perspectives. Springer Atmospheric Sciences. Springer, Cham. https://doi.org/10.1007/978-3-031-40567-9_2

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