Implementation and Application of BCC CMIP6 Experimental Data Sharing Platform

Ma Qiang; Yan Jinghui; Wei Min; Xin Xiaoge; Zhang Li; Zhang Fang; Wu Tongwen

doi:10.11898/1001-7313.20220509

Vol.33, NO.5, 2022

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Ma Qiang, Yan Jinghui, Wei Min, et al. Implementation and application of BCC CMIP6 Experimental Data Sharing Platform. J Appl Meteor Sci, 2022, 33(5): 617-627. DOI: 10.11898/1001-7313.20220509.

Citation:

Ma Qiang, Yan Jinghui, Wei Min, et al. Implementation and application of BCC CMIP6 Experimental Data Sharing Platform. J Appl Meteor Sci, 2022, 33(5): 617-627. DOI: 10.11898/1001-7313.20220509.

Ma Qiang, Yan Jinghui, Wei Min, et al. Implementation and application of BCC CMIP6 Experimental Data Sharing Platform. J Appl Meteor Sci, 2022, 33(5): 617-627. DOI: 10.11898/1001-7313.20220509.

Citation:

Ma Qiang, Yan Jinghui, Wei Min, et al. Implementation and application of BCC CMIP6 Experimental Data Sharing Platform. J Appl Meteor Sci, 2022, 33(5): 617-627. DOI: 10.11898/1001-7313.20220509.

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Implementation and Application of BCC CMIP6 Experimental Data Sharing Platform

DOI: 10.11898/1001-7313.20220509

Ma Qiang^{1, 2},
Yan Jinghui^{3, 4},
Wei Min^{3, 4
,
,},
Xin Xiaoge^{3, 4},
Zhang Li^{3, 4},
Zhang Fang^{3, 4},
Wu Tongwen^{3, 4}

1.
National Meteorological Information Center, Beijing 100081
2.
Department of Computer Science and Technology, Tsinghua University, Beijing 100084
3.
CMA Earth System Modeling and Prediction Centre, Beijing 100081
4.
State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing 100081

Received Date: 2022-03-31
Rev Recd Date: 2022-07-01
Publish Date: 2022-09-15

Abstract

Abstract

The experimental data of ongoing CMIP6 (Coupled Model Intercomparison Project Phase 6) are widely used to study the mechanism of climate change and provide technical support for the assessment report of the Intergovernmental Panel on Climate Change (IPCC). With more types of model experiments and more complex climate model, the amount of CMIP experimental data are also increasing rapidly. Therefore, Beijing Climate Center (BCC) has established Earth System Grid Federation (ESGF) data node to share experimental data of BCC CMIP6.BCC has three latest versions of models to participate in the project through model development in recent years. The hardware of the platform adopts a distributed storage architecture and is deployed in the demilitarized zone (DMZ) of China Meteorological Administration, which provides a strong guarantee for its network access rate and security. The data processing module mainly checks the integrity, processes the original model output and adopts the climate model output rewriter (CMOR) software to standardize the format. Thematic real-time environmental distributed data services data server is used for local storage management and data sharing, publishing metadata to ESGF index node for unified data retrieval. The data storage directory adopts hierarchical management structure with self-describing information to realize hierarchical and classified storage of different elements in different experiments. To ensure the security of data sharing, the platform is optimized based on ESGF security framework in addition to physically adding replica storage, and the needs of easy access are also considered.Totally, 190 TB experimental data of BCC CMIP6 have been released and shared since the establishment of the platform. The platform has provided important technical support for BCC to participate in the CMIP6, and it has also supported scientific research in the fields of climate change simulation and prediction, weather and climate extremes, global warming and human activities.Subsequent work will provide continuous data services to the CMIP and can be extended to other related model comparison programs. It is also important to further improve the capabilities of customized data sharing services.
- CMIP;
- BCC;
- model experimental data;
- data sharing;
- data security

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References(41)

Figures and Tables

Fig. 1 Platform system architecture

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Fig. 2 Platform construction workflow

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Fig. 3 Data processing workflow

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Fig. 4 BCC CMIP6 data publishing and service

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Fig. 5 BCC CMIP6 data access statistics in the first half of 2022

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Table 1 BCC model versions participated in CMIP6

模式	分量	模式版本	分辨率
BCC-ESM1.0^[8]	大气	BCC-AGCM3-Chem	T42L26(约为280 km，水平格点数为128×64，垂直分26层，模式顶为2.19 hPa)
	陆面	BCC-AVIM2	T42(约为280 km，水平格点数为128×64)
	海洋	MOM4-L40v3	gx1v1(纬向分辨率为1°，经向在10°S~10°N加密到(1/3)°，10°S~30°S和10°N~30°N由(1/3)°逐渐过渡到1°，30°S以南、30°N以北区域为1°，水平格点数为360×232，垂直分40层)
	海冰	SIS	gx1v1(水平分辨率与MOM4-L40v3相同)
BCC-CSM2-MR^[9]	大气	BCC-AGCM3-MR	T106L46(约为110 km，水平格点数为320×160，垂直分46层，模式顶为1.46 hPa)
	陆面	BCC-AVIM2	T106(约为110 km，水平格点数为320×160)
	海洋	MOM4-L40v3	同BCC-ESM1.0
	海冰	SIS	同BCC-ESM1.0
BCC-CSM2-HR^[10]	大气	BCC-AGCM3-HR	T266L56(约为45 km，水平格点数为800×400，垂直分56层，模式顶为0.1 hPa)
	陆面	BCC-AVIM2	T266(约为45 km，水平格点数为800×400)
	海洋	MOM5-L50	0.25°×0.25°(水平格点数为1440×688，垂直分50层)
	海冰	SIS	0.25°×0.25°(水平格点数为1440×688)

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Table 2 BCC CMIP6 data

核心试验/子计划	试验名称	模式	样本量	要素数量	数据量/TB
气候诊断、评估和描述试验(DECK)^[2]	1pctCO2	BCC-CSM2-MR	1	142	29.00
	1pctCO2	BCC-ESM1.0	1	179
	abrupt-4xCO2	BCC-CSM2-MR	1	142
	abrupt-4xCO2	BCC-ESM1.0	1	169
	amip	BCC-CSM2-MR	3	97
	amip	BCC-ESM1.0	3	134
	esm-hist	BCC-CSM2-MR	3	155
	esm-piControl	BCC-CSM2-MR	1	143
气候诊断、评估和描述试验(DECK)^[2]	piControl	BCC-CSM2-MR	1	142	32.00
气候诊断、评估和描述试验(DECK)^[2]	piControl	BCC-ESM1.0	1	168
历史气候模拟试验(Historical)^[2]	Historical	BCC-CSM2-MR	3	154
历史气候模拟试验(Historical)^[2]	Historical	BCC-ESM1.0	3	189
检测归因模式比较计划(DAMIP)^[27]	hist-GHG	BCC-CSM2-MR	3	149	6.50
	hist-aer		3	144
	hist-nat		3	145
情景模式比较计划(ScenarioMIP)^[28]	SSP1-2.6	BCC-CSM2-MR	1	154	26.00
	SSP2-4.5		1	153
	SSP3-7.0		1	158
	SSP5-8.5		1	154
耦合气候碳循环比较计划(C4MIP)^[29]	1pctCO2-bgc	BCC-CSM2-MR	1	144	7.40
	1pctCO2-rad		1	144
	esm-ssp585		1	155
全球季风模式比较计划(GMMIP)^[30]	amip-hist	BCC-CSM2-MR	1	74	2.50
全球季风模式比较计划(GMMIP)^[30]	hist-resAMO	BCC-CSM2-MR	1	130	2.50
云反馈模式比较计划(CFMIP)^[31]	amip	BCC-CSM2-MR	1	113	29.00
	amip-4xCO2		1	115
	amip-future4K		1	114
	amip-m4K		1	114
	amip-p4k		1	118
陆面、雪和土壤湿度模式比较计划(LS3MIP)^[32]	Land-Hist-princeton	BCC-CSM2-MR	1	40	0.01
土地利用模式比较计划(LUMIP)^[33]	deforest-globe	BCC-CSM2-MR	1	147	2.00
	esm-ssp585-sspl26Lu		1	147
	hist-nolu		1	146
	land-hist		1	40
	land-nolu		1	40
	sspl26-ssp370Lu		1	147
	ssp370-sspl26Lu		1	147
气溶胶和化学模式比较计划(AerChemMIP)^[11]	hist-piAer	BCC-ESM1.0	3	186	4.10
	hist-piNTCF		3	179
	histSST		1	121
	histSST-piCH4		1	120
	histSST-piNTCF		1	120
	piClim-BC		1	123
	piClim-CH4		1	119
	piClim-NOx		1	123
	piClim-NTCF		1	120
	piClim-O3		1	123
	piClim-SO2		1	123
	piClim-VOC		1	123
	piClim-aer		1	123
	piClim-control		1	119
	ssp370		3	187
	ssp370-lowNTCF		3	182
	ssp370SST		1	121
	ssp370SST-lowNTCF		1	121
年代际气候预测计划(DCPP)^[13]	dcppA-hindcast	BCC-CSM2-MR	8	74	9.07
高分辨率模式比较计划(HighResMIP)^[12]	control-1950	BCC-CSM2-HR	1	113	70.00
	highresSST-present		1	97
	hist-1950		1	130

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Table 3 Historical experiment data of BCC-CSM2-MR

模式	分量模式	要素	格式	时间段	时效	分辨率
BCC-CSM2-MR	大气	近地表气温、地表气压、降水等	NetCDF	1850—2014年	月、日、3 h等	320×160，L46，L19等
	陆面	土壤总含水量、地表径流等	NetCDF	1850—2014年	月、日、3 h等	320×160
	海洋	海表面温度、海水质量、海表面压力等	NetCDF	1850—2014年	月、日	360×232，L40
	海冰	海冰厚度、海冰面积、海冰表面温度等	NetCDF	1850—2014年	月、日	360×232

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