{"id":"3630d9d9-0937-49c8-bd26-6134fc7b742c","title":"A long term half-hourly eddy covariance dataset of consistently processed CO2 and H2O Fluxes from the Tibetan Alpine Steppe at Nam Co (2005 - 2019)","title_en":"A long term hourly eddy covariance dataset of consistently processed CO2 and H2O Fluxes from the Tibetan Alpine Steppe at Nam Co (2005 - 2019)","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the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results).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 name: NAMORS_EC_2005-2019.csv. The file contains the EddyPro full_output (https://www.licor.com/env/support/EddyPro/topics/output-files-full-output.html) and biomet data, quality flags for quality filtering and fetch filtering, the CO2 fluxes corrected for sensor self heating effects, random uncertainty measures as propagated via WPL correction and the REddyProc gap filling results (https://www.bgc-jena.mpg.de/bgi/index.php/Services/REddyProcWebOutput).\nFile name: NAMORS_EC_2005-2019_varnames_units.csv. The file contains the variable descriptions and physical units for the above mentioned dataset.\nVersion 2 with enhanced calculations and data  processing after peer-review(https://essd.copernicus.org/preprints/essd-2020-63/#discussion). The file \"NAMORS_EC_2005-2019_v2.txt\" contains the EddyProfull_output (https://www.licor.com/env/support/EddyPro/topics/output-files-full-output.html)and biomet data, quality flags for quality filtering, the CO2fluxes corrected for sensor self heating effects and the REddyProcgap filling results(https://www.bgc-jena.mpg.de/bgi/index.php/Services/REddyProcWebOutput).The file \"NAMORS_EC_2005-2019_varnames_units_v2.txt\" contains thevariable descriptions and physical units for the above mentioneddataset. The uploaded files are tab-delimited .txt files with\"-9999\" representing missing data.","description":"The data set contains nearly 15 years of eddy covariance data  from an alpine steppe ecosystem on the central Tibetan Plateau.The data was processed following standardized quality control methods to allow for comparability between the different years of  our record and with other data sets. To ensure meaningful  estimates of ecosystem atmosphere exchange, careful application of the following correction procedures and analyses was necessary: (1) Due to the remote location, continuous maintenance of the eddy covariance (EC) system was not always possible, so that cleaning and calibration of the sensors was performed irregularly. Furthermore, the high proportion of bare soil and high wind speeds led to accumulation of dirt in the measurement path of the infrared gas analyzer (IRGA). The installation of the sensor in such a challenging environment resulted in a considerable drift in CO2 and H2O gas density measurements. If not accounted for, this concentration bias may distort the estimation of the carbon uptake. We applied a modified drift correction procedure following Fratini et al. (2014) which, instead of a linear interpolation  between calibration dates, uses the CO2 concentration measurements  from the Mt. Waliguan atmospheric observatory as reference time series. (2) We applied rigorous quality filtering of the calculated fluxes to retain only fluxes which represent actual physical processes. (3) During the long measurement period, there were several buildings constructed in the near vicinity of the EC system. We investigated the influence of these obstacles on the turbulent flow regime to identify fluxes with uncertain land cover contribution and exclude them from subsequent computations. (4) We calculated the de-facto standard correction for instrument surface heating during cold conditions (hereafter called sensor self heating correction) following Burba et al. (2008) and a revision of the original method following Frank and Massman (2020). (5)Subsequently, we applied the traditional and widely used gap filling procedure following Reichstein et al. (2005) to provide a more complete overview of the annual net ecosystem CO2 exchange.(6) We estimated the flux uncertainty by calculating the random flux error (RE) following Finkelstein and Sims (2001) and by using the standard deviation of the fluxes used for gap filling(NEE_fsd) as a measure for spatial and temporal variation.","doi":"10.11888/Meteoro.tpdc.270333","projection":"","language":"en","share_type":"online","east":90.963043,"west":90.963043,"south":30.772766,"north":30.772766,"scale":null,"crs":null,"filesize":250.0,"share_policy":"a","ts_created":"2020-03-18T10:08:08.038810+08:00","doi_type":"拥有自主知识产权","ts_updated":"2021-04-19T23:34:40.403199+08:00","time_description":"2005-12-04 22:30 CST","datas_group":3,"time_description_en":"2019-09-07 11:00 CST","data_format":null,"project":[11],"specials":[],"cite":null,"review_status":5,"review_invite":[{"user_name":"马伟强","username":"wqma","email":"wqma@itpcas.ac.cn","is_cancel_expert":false}],"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":"Hourly","spatial_resolution":"10m - 100m","license":"Attribution 4.0 International (CC BY 4.0)","fund":[6,21],"subtopics":{"metadata":"3630d9d9-0937-49c8-bd26-6134fc7b742c","three_pole":null,"third_pole":"XDA20060101"},"username":"Felix Nieberding","review_time":"2020-03-23T06:28:57.295864+08:00","protected_duration":null,"protected_describe":null,"is_important":false,"hit_count":4105}