[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.1007/s13143-018-0028-9

The Korean Integrated Model (KIM) System for Global Weather Forecasting

Hong, Song-You (Korea Institute of Atmospheric Prediction Systems (KIAPS))
Kwon, Young Cheol (Korea Institute of Atmospheric Prediction Systems (KIAPS))
Kim, Tae-Hun (Korea Institute of Atmospheric Prediction Systems (KIAPS))
Kim, Jung-Eun Esther (Korea Institute of Atmospheric Prediction Systems (KIAPS))
Choi, Suk-Jin (Korea Institute of Atmospheric Prediction Systems (KIAPS))
Kwon, In-Hyuk (Korea Institute of Atmospheric Prediction Systems (KIAPS))
Kim, Junghan (Korea Institute of Atmospheric Prediction Systems (KIAPS))
Lee, Eun-Hee (Korea Institute of Atmospheric Prediction Systems (KIAPS))
Park, Rae-Seol (Korea Institute of Atmospheric Prediction Systems (KIAPS))
Kim, Dong-Il (Korea Institute of Atmospheric Prediction Systems (KIAPS))

Publication Information

Asia-Pacific Journal of Atmospheric Sciences / v.54, no.sup1, 2018 , pp. 267-292 More about this Journal

Abstract

The Korea Institute of Atmospheric Prediction Systems (KIAPS) began a national project to develop a new global atmospheric model system in 2011. The ultimate goal of this 9-year project is to replace the current operational model at the Korea Meteorological Administration (KMA), which was adopted from the United Kingdom's Meteorological Office's unified model (UM) in 2010. The 12-km Korean Integrated Model (KIM) system, consisting of a spectral-element non-hydrostatic dynamical core on a cubed sphere grid and a state-of-the-art physics parameterization package, has been launched in a real-time forecast framework, with initial conditions obtained via the advanced hybrid four-dimensional ensemble variational data assimilation (4DEnVar) over its native grid. A development strategy for KIM and the evolution of its performance in medium-range forecasts toward a world-class global forecast system are described. Outstanding issues in KIM 3.1 as of February 2018 are discussed, along with a future plan for operational deployment in 2020.

Keywords

Numerical weather prediction; global forecast system; WRF; GRIMs; KIM;

Citations & Related Records

Times Cited By KSCI : 5 (Citation Analysis)

Reference
Cited By KSCI

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4	(2018) Earth and space science Seasonal Performance of a Nonhydrostatic Global Atmospheric Model on a Cubed‐Sphere Grid / 8 (4) , None
10	(2021) Journal of advances in modeling earth systems Role of Microphysics and Convective Autoconversion for the Better Simulation of Tropical Intraseasonal Oscillations (MISO and MJO) / 13 (10) , None
6	(2021) Journal of geophysical research. Oceans Origin, Variability, and Pathways of East Sea Intermediate Water in a High‐Resolution Ocean Reanalysis / 126 (6) , None
9	(2018) Atmosphere Impact of Soil Moisture Data Assimilation on Analysis and Medium-Range Forecasts in an Operational Global Data Assimilation and Prediction System / 12 (9) , 1089
9	(2018) Atmosphere Suppressing Grid-Point Storms in a Numerical Forecasting Model / 12 (9) , 1194
10	(2018) Journal of advances in modeling earth systems Improved Weather Forecasting Using Neural Network Emulation for Radiation Parameterization / 13 (10) , None
None	(2018) Aerospace science and technology Hazardous flight region prediction for a small UAV operated in an urban area using a deep neural network / 118 (None) , 107060
11	(2018) Journal of advances in modeling earth systems AMIP Simulations of a Global Model for Unified Weather‐Climate Forecast: Understanding Precipitation Characteristics and Sensitivity Over East Asia / 13 (11) , None
12	(2021) Monthly weather review A New Hybrid Sigma-Pressure Vertical Coordinate with Smoothed Coordinate Surfaces / 149 (12) , 4077
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