{"id":"81db942b-64e8-4809-8fb2-7298c941c0dc","title":"Tan-Tracker global daily NEE and ocean carbon fluxes for 2015-2019 (TT2021 dataset)","title_en":"Tan-Tracker global daily NEE and ocean carbon fluxes for 2015-2019 (TT2021 dataset)","serial":"","user_limit":"To respect the intellectual property rights, protect the rights of data authors, expand services of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.","instructions":"File naming: The carbon flux data and CO2 concentration data are stored in NetCDF format. The name of the carbon flux file is \"TT2021.Flux.yyyymmdd.nc\", and the name of the CO2 concentration file is \"TT2021.CO2.yyyymmdd.nc\", where yyyy represents the year ,mm represents the month,  and dd represents the day. For example, TT2021.Flux.20150101.nc represents the NetCDF file describing the global carbon fluxes on January 1, 2015\n\nData reading method: All the NetCDF files in this dataset can be opened directly with programs like Panoply and Ncview.","description":"Here we present a global and regional resolved terrestrial ecosystem carbon flux (NEE) as well as ocean carbon flux dataset from 2015 to 2019, inclusive. The dataset is generated using the Tan-Tracker inversion system by assimilating Observing Carbon Observatory 2 (OCO-2) column CO2 retrievals. Apart from optimized NEE and ocean fluxes, CO2 emissions from other sectors (e.g. fossil fuel emissions, biomass burning emissions, chemical sources) are also included to help calculate the carbon budget. The atmospheric transport model used is GEOS-Chem, model simulated CO2 concentrations driven by posterior fluxes are provided as well. We still contain a tabular summary about the annual global carbon budget, annual and monthly NEE and ocean fluxes with corresponding uncertainties. The posterior fluxes are comprehensively validated by comparing the posterior simulated CO2 concentrations with OCO-2 independent retrievals and Total Carbon Column Observing Network (TCCON) measurements. The validation shows that the posterior carbon fluxes could significantly improve the modelling of atmospheric CO2 concentrations, with global mean bias of 0.33 ppm against OCO-2 retrievals and 0.12 ppm against TCCON measurements. The dataset has been applied to evaluate the global, TransCom regional, and Tibetan Plateau carbon fluxes. We plan to update the dataset annually in the future, aiming to  better understand the global carbon cycle, support the formulation of climate policies , and project future climate change.","doi":"10.11888/Meteoro.tpdc.271317","projection":"","language":"en","share_type":"online","east":177.5,"west":-180.0,"south":-89.5,"north":89.5,"scale":null,"crs":null,"filesize":83047.0,"share_policy":"a","ts_created":"2021-05-24T09:16:53.741579+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-06-15T11:25:24.147086+08:00","time_description":"","datas_group":2,"time_description_en":"","data_format":null,"project":[11],"specials":[],"cite":null,"review_status":5,"review_invite":[],"review_editor":{"id":42421,"last_login":"2022-04-08T15:16:51.670544+08:00","username":"任慧霞","email":"510727846@qq.com","is_active":true,"is_staff":true,"user_name":"任慧霞"},"data_sources":null,"temporal_resolution":"Daily","spatial_resolution":"100km - 1000km","license":"Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","fund":[],"subtopics":{"metadata":"81db942b-64e8-4809-8fb2-7298c941c0dc","three_pole":null,"third_pole":null},"username":"金哲","review_time":null,"protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":194}