[논문]기상청 기후예측시스템(GloSea6) - Part 1: 운영 체계 및 개선 사항

김혜리; 이조한; 현유경; 황승언

doi:10.14191/atmos.2021.31.3.341

기상청 기후예측시스템(GloSea6) - Part 1: 운영 체계 및 개선 사항
The KMA Global Seasonal Forecasting System (GloSea6) - Part 1: Operational System and Improvements 원문보기

대기 = Atmosphere, v.31 no.3, 2021년, pp.341 - 359

김혜리 (국립기상과학원 현업운영개발부) , 이조한 (국립기상과학원 현업운영개발부) , 현유경 (국립기상과학원 현업운영개발부) , 황승언 (국립기상과학원 현업운영개발부)

Abstract ▼ AI-Helper

This technical note introduces the new Korea Meteorological Administration (KMA) Global Seasonal forecasting system version 6 (GloSea6) to provide a reference for future scientific works on GloSea6. We describe the main areas of progress and improvements to the current GloSea5 in the scientific and technical aspects of all the GloSea6 components - atmosphere, land, ocean, and sea-ice models. Also, the operational architectures of GloSea6 installed on the new KMA supercomputer are presented. It includes (1) pre-processes for atmospheric and ocean initial conditions with the quasi-real-time land surface initialization system, (2) the configurations for model runs to produce sets of forecasts and hindcasts, (3) the ensemble statistical prediction system, and (4) the verification system. The changes of operational frameworks and computing systems are also reported, including Rose/Cylc - a new framework equipped with suite configurations and workflows for operationally managing and running Glosea6. In addition, we conduct the first-ever run with GloSea6 and evaluate the potential of GloSea6 compared to GloSea5 in terms of verification against reanalysis and observations, using a one-month case of June 2020. The GloSea6 yields improvements in model performance for some variables in some regions; for example, the root mean squared error of 500 hPa geopotential height over the tropics is reduced by about 52%. These experimental results show that GloSea6 is a promising system for improved seasonal forecasts.

주제어

표/그림 (11)

그림 Fig. 1. Schematic diagram of the operational structures of GloSea6 model runs.
그림 Fig. 2. Schematic diagram of the operational architectures for GloSea6 FCST and HCST ensemble runs to produce one (six)-month predictions.
표 Table 1. Descriptions of tasks of GloSea6 Rose/Cylc suite in order of execution. The name of tasks "gsfc" means GloSea6 forecast runs while "gshc" means GloSea6 hindcast runs.
그림 Fig. 3. The graphic view of the flow of GloSea6 "FCST" jobs in Rose/Cylc environment for 1 ensemble member during 1 step (in case of initial date 0000 UTC May 17 2020).
표 Table 2. Updates of science configurations, model versions, and resolutions of GloSea6.
표 Table 3. Descriptions of major parts of GloSea6 model configurations different to GloSea5.
표 Table 4. Descriptions of the atmospheric model UM vn11.5.
표 Table 5. Descriptions of the ocean model NEMO vn3.6.
그림 Fig. 4. Difference of 500 hPa geopotential height of (a) GloSea5 and (b) GloSea6 compared to ERA5 during June 2020, and (c) difference between absolute bias of Glosea6 to ERA5 and that of Glosea5 to ERA5. (d)-(f) are the same as (a)-(c) but for zonal-mean meridional wind.
그림 Fig. 5. Difference between (a) GloSea6 and GloSea5 for 1.5 m air temperature, and (b) difference between absolute bias of GloSea6 to ERA5 and that of GloSea5 to ERA5 during June 2020. (c) and (d) are the same as (a) and (b) but for precipitation compared to GPCP.
그림 Fig. 6. The same as Fig. 5 but for sea surface temperature compared to OSTIA.

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저자의 다른 논문 :

표제어: PCR

동의어: Packet Collision Rate

용어 설명 출처 목록 (6)

용어 설명: PCR은 세균 특이성이 있는 primer를 이용하여 적은 수의 세균이 있을지라도 쉽게 검출할 수 있는 유용한 방법이며, 이를 이용하여 구강 내 치면세균막이나 타액에서 직접 세균을 검출할 수 있게 되었다[8].

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