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Changes for document East and Central Asia
From version 6.1
edited by S2S_regionact
on 2022/02/22 12:40
on 2022/02/22 12:40
To version 7.1
edited by S2S_regionact
on 2022/02/22 15:26
on 2022/02/22 15:26
Change comment: There is no comment for this version
Content changes
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| 3 | 3 | |
| 4 | 4 | ---- |
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| 8 | 8 | Beijing Climate Center (BCC) Climate Prediction System version 2 (BCC-CPS v2) is a climate prediction system used for S2S and seasonal forecast from China Meteorological Administration (CMA). This system consists of a fully-coupled BCC Climate System Model BCC-CSM2-HR (Wu et al. 2021), a coupled data assimilation system (Liu et al., 2021) and a forecast ensemble method using stochastically perturbed physical tendency (SPPT) scheme. The coupled data assimilation (CDA) system consisting of ocean, sea-ice, and atmosphere data assimilation components with the Beijing Climate Center (BCC) Climate System Model has been developed to provide reliable analyses of the atmosphere, ocean, and sea-ice states. It incorporates ocean temperature/salinity profiles, sea surface temperature, sea level height, and sea-ice concentration observations at a daily frequency, and atmosphere reanalysis at a 6-hourly frequency. The system is capable of realistically reproducing the climatology and variability of ocean, sea-ice, and atmosphere.The S2S forecasts are running on every Monday and Thursday with a 60-day integration. Hindcasts is set to on-the-fly type, containing past 15 year re-forecasts related to the real-time forecast date. |
| 9 | 9 | |
| 10 | 10 | BCC-CPS v2 replaced BCC-CPS v1 in November 2019, when S2S phase II began. BCC-CPS v1, which served during S2S phase I, is based on lagged average forecasting (LAF) method using a fully-coupled BCC Climate System Model BCC-CSM1.2. The BCC-CPS v1 S2S forecasts are running on every day since 1 Jan 1994 and end with a 60-day integration. Each forecast consists of 4 LAF ensemble members, which are initialized at 00 UTC of the first forecast day and 18, 12 and 06 UTC of the previous day, respectively. |
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| 13 | 13 | ))) |
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| 15 | 15 | * ((( |
| 16 | -=== |
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| 14 | +=== (% style="color: inherit; font-family: inherit;" %)**Institutions/Projects in the region working on S2S**(%%) === | |
| 17 | 17 | )))((( |
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| 19 | -))) | |
| 20 | -* ((( | |
| 21 | -=== **Institutions/Projects in the region working on S2S** === | |
| 22 | - | |
| 23 | 23 | ---- |
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| 18 | +**National Climate Center (NCC)**, China Meteorological Administration ([[http:~~/~~/cmdp.ncc-cma.net/en>>url:http://cmdp.ncc-cma.net/en||style="background-color: rgb(255, 255, 255);"]]) | |
| 25 | 25 | |
| 26 | - | |
| 27 | -**National Climate Center (NCC)**, China Meteorological Administration ([[http:~~/~~/cmdp.ncc-cma.net/en>>url:http://cmdp.ncc-cma.net/en]]) | |
| 28 | - | |
| 29 | 29 | **National Meteorological Information Center (NMIC)**, China Meteorological Administration ([[http:~~/~~/data.cma.cn/en>>url:http://data.cma.cn/en]]) |
| 30 | 30 | |
| 31 | 31 | **Center for Earth System Modeling and Prediction of CMA (CEMC)**, China Meteorological Administration |
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| 66 | 66 | ---- |
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| 70 | 70 | Bo, Z., Liu, X., Gu, W., Huang, A., Fang, Y., Wu, T., ... & Li, Q. (2020). Impacts of atmospheric and oceanic initial conditions on boreal summer intraseasonal oscillation forecast in the BCC model. Theoretical and Applied Climatology, 1-14. |
| 71 | 71 | |
| 72 | 72 | Chen, D., Qiao, S., Tang, S., Cheung, H. N., Liu, J., & Feng, G. (2020). Predictability of the Strong Ural blocking Event in January 2012 in the Subseasonal to Seasonal Models of Europe and Canada. Atmosphere, 11(5), 538. |