SYNOP 지상관측자료를 활용한 수치모델 전구 예측성 검증
Verification of the Global Numerical Weather Prediction Using SYNOP Surface Observation Data
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초록
This paper describes methodology verifying near-surface predictability of numerical weather prediction models against the surface synoptic weather station network (SYNOP) observation. As verification variables, temperature, wind, humidity-related variables, total cloud cover, and surface pressure are included in this tool. Quality controlled SYNOP observation through the pre-processing for data assimilation is used. To consider the difference of topographic height between observation and model grid points, vertical inter/extrapolation is applied for temperature, humidity, and surface pressure verification. This verification algorithm is applied for verifying medium-range forecasts by a global forecasting model developed by Korea Institute of Atmospheric Prediction Systems to measure the near-surface predictability of the model and to evaluate the capability of the developed verification tool. It is found that the verification of near-surface prediction against SYNOP observation shows consistency with verification of upper atmosphere against global radiosonde observation, suggesting reliability of those data and demonstrating importance of verification against in-situ measurement as well. Although verifying modeled total cloud cover with observation might have limitation due to the different definition between the model and observation, it is also capable to diagnose the relative bias of model predictability such as a regional reliability and diurnal evolution of the bias.
Abstract
This paper describes methodology verifying near-surface predictability of numerical weather prediction models against the surface synoptic weather station network (SYNOP) observation. As verification variables, temperature, wind, humidity-related variables, total cloud cover, and surface pressure are included in this tool. Quality controlled SYNOP observation through the pre-processing for data assimilation is used. To consider the difference of topographic height between observation and model grid points, vertical inter/extrapolation is applied for temperature, humidity, and surface pressure verification. This verification algorithm is applied for verifying medium-range forecasts by a global forecasting model developed by Korea Institute of Atmospheric Prediction Systems to measure the near-surface predictability of the model and to evaluate the capability of the developed verification tool. It is found that the verification of near-surface prediction against SYNOP observation shows consistency with verification of upper atmosphere against global radiosonde observation, suggesting reliability of those data and demonstrating importance of verification against in-situ measurement as well. Although verifying modeled total cloud cover with observation might have limitation due to the different definition between the model and observation, it is also capable to diagnose the relative bias of model predictability such as a regional reliability and diurnal evolution of the bias.
참고문헌 (25)
- Bréon, F., "Cloud detection from the spaceborne POLDER instrument and validation against surface synoptic observations", J. Appl. Meteor. Climatol., 38, pp.777~785 (1999)
- Bromwich, D. H., "Real-time forecasting for the Antarctic:An evaluation of the Antarctic Mesoscale Prediction System (AMPS)", Mon. Wea. Rev., 133, pp.579~603 (2005)
- Hyun-Joo Choi, "An updated subgrid orographic parameterization for global atmospheric forecast models", Journal of Geophysical Research: Atmospheres, 120(24), pp.12445~12457 (2015), American Geophysical Union (AGU)[DOI]
- Suk-Jin Choi, "A Global Non-Hydrostatic Dynamical Core Using the Spectral Element Method on a Cubed-Sphere Grid", 한국기상학회지, 52(3), pp.291~307 (2016), 한국기상학회
- Chun, H. -Y., "Momentum flux by thermally induced internal gravity waves and its approximation for large-scale models", J. Atmos. Sci., 55, pp.3299~3310 (1998)
- ECMWF, "Evaluation of ECMWF forecasts, including 2014-2015 upgrades", ECMWF Technical Memorandum No. 765, 51~ (2015)
- M. B. Ek, "Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model", Journal of Geophysical Research, 108(D22) (2003), American Geophysical Union (AGU)[DOI]
- Jongil Han, "Revision of Convection and Vertical Diffusion Schemes in the NCEP Global Forecast System", Weather and Forecasting, 26(4), pp.520~533 (2011), American Meteorological Society[DOI]
- Hong, S. -Y., "A revised approach to ice microphysical processes for the bulk parameterization of clouds and precipitation", Mon. Wea. Rev., 132, pp.103~120 (2004)
- Song-You Hong, "Lower-Tropospheric Enhancement of Gravity Wave Drag in a Global Spectral Atmospheric Forecast Model", Weather and Forecasting, 23(3), pp.523~531 (2008), American Meteorological Society[DOI]
- 홍성유, "The Global", Regional Integrated Model System (GRIMs), 2013, pp.49(2), 219~243[DOI]
- Michael J. Iacono, "Radiative forcing by long-lived greenhouse gases: Calculations with the AER radiative transfer models", Journal of Geophysical Research, 113(D13) (2008), American Geophysical Union (AGU)[DOI]
- Jong-Hun Jeon, "Test of a Convectively Forced Gravity Wave Drag Parameterization in a General Circulation Model", 한국기상학회지, 46(1), pp.1~10 (2010), 한국기상학회
- Eun-Jung Kim, "Impact of air-sea interaction on East Asian summer monsoon climate in WRF", Journal of Geophysical Research, 115(D19) (2010), American Geophysical Union (AGU)[DOI]
- Liljequist, G. H., "Allgemeine Meteorologie(General Meteorology)", pp.396~ (1990), Vieweg
- Kyo-Sun Sunny Lim, "Simulation of the Summer Monsoon Rainfall over East Asia Using the NCEP GFS Cumulus Parameterization at Different Horizontal Resolutions", Weather and Forecasting, 29(5), pp.1143~1154 (2014), American Meteorological Society[DOI]
- Lijuan Ma, "Evaluation of ERA-40, NCEP-1, and NCEP-2 reanalysis air temperatures with ground-based measurements in China", Journal of Geophysical Research, 113(D15) (2008), American Geophysical Union (AGU)[DOI]
- Ralf Meerkötter, "A 14-year European Cloud Climatology from NOAA", AVHRR data in comparison to surface observations, 2004, pp.31(15), ~[DOI]
- Rae-Seol Park, "A Revised Prognostic Cloud Fraction Scheme in a Global Forecasting System", Monthly Weather Review, 144(3), pp.1219~1229 (2016), American Meteorological Society[DOI]
- Hyeyum Hailey Shin, "Representation of the Subgrid-Scale Turbulent Transport in Convective Boundary Layers at Gray-Zone Resolutions", Monthly Weather Review, 143(1), pp.250~271 (2015), American Meteorological Society[DOI]
- A. J. Simmons, "Comparison of trends and low-frequency variability in CRU, ERA-40, and NCEP", NCAR analyses of surface air temperature, 2004, pp.109(D24), ~[DOI]
- Aaron B. Wilson, "Evaluation of Polar WRF forecasts on the Arctic System Reanalysis domain: Surface and upper air analysis", Journal of Geophysical Research, 116(D11) (2011), American Geophysical Union (AGU)[DOI]
- World Meteorological Organization, "WMO: standardised verification system for long-range forecasts,in Manual on the Global Data-Processing System, WMO no. 485", World Meteorological Organization, ~ (2012)
- Qinglong You, "Variability of temperature in the Tibetan Plateau based on homogenized surface stations and reanalysis data", International Journal of Climatology, 33(6), pp.1337~1347 (2013), Wiley[DOI]
- Zhu, J. -H., "Evaluation of reanalysis products with in situ GPS sounding observations in the Eastern Himalayas", Atmos. Ocean. Sci. Lett., 7, pp.17~22 (2014)[DOI]