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.