GEOS-Chem model output and local and national monitoring network measurements used to assess the efficacy of autumn-winter emission controls on air quality in the Beijing-Tianjin-Hebei region
收藏DataCite Commons2024-03-01 更新2024-07-13 收录
下载链接:
https://rdr.ucl.ac.uk/articles/dataset/GEOS-Chem_model_output_and_local_and_national_monitoring_network_measurements_used_to_assess_the_efficacy_of_autumn-winter_emission_controls_on_air_quality_in_the_Beijing-Tianjin-Hebei_region/16763692/1
下载链接
链接失效反馈官方服务:
资源简介:
Data include air pollutant surface concentrations simulated with the GEOS-Chem chemical transport model and measured at local and national monitoring networks in the Beijing-Tianjin-Hebei region.<br><br>All data are in NetCDF format. <br>Data files include:<br>"gc-outputs-AW2016-base-emissions.nc" GEOS-Chem surface concentrations of PM2.5 components, CO, NO2, and SO2 over northern China averaged over October 2016 to March 2017 (AW2016) using unscaled bottom-up emissions. <br>"gc-outputs-AW2016-scaled-NO-SO2-CO.nc" GEOS-Chem surface concentrations of PM2.5 components, CO, NO2, and SO2 over northern China averaged over October 2016 to March 2017 (AW2016) using bias-corrected emissions of NO, SO2 and CO."gc-outputs-AW2016-scaled-NO-SO2-CO-VOCs.nc" GEOS-Chem surface concentrations of PM2.5 components, CO, NO2, and SO2 over northern China averaged over October 2016 to March 2017 (AW2016) using bias-corrected emissions of NO, SO2, CO, and a test of the effect of 50% increase in anthropogenic NMVOCs emissions on CO concentrations."gc-outputs-AW2017-scaled-NO-SO2-CO-OC-BC.nc" GEOS-Chem surface concentrations of PM2.5 components, CO, NO2, and SO2 over northern China averaged over October 2017 to March 2018 (AW2017) using emissions for this time period obtained by scaling emissions for the previous year."gc-pm25-AW2017-with-MET-AW2016.nc" GEOS-Chem surface concentrations of PM2.5 over northern China using October 2017 - March 2018 (AW2017) emissions and October 2016 - March 2017 (AW2016) meteorology. The mean for Oct-Mar is given."gc-pm25-components-APHH-IAP.nc" Daily means of GEOS-Chem PM2.5 and components for the model grid coincident with the APHH field campaign in 2016 at the Institute of Atmospheric Physics urban site in Beijing."gc-pm25-components-APHH-Pinggu.nc" Daily means of GEOS-Chem PM2.5 and components for the model grid coincident with the APHH field campaign in 2016 at the Pinggu rural site in Beijing."surface-aq-regrid-to-geoschem.nc" Surface observations from local and national monitoring networks gridded to the GEOS-Chem model horizontal grid in northern China averaged from October 2016 to March 2017 (AW2016) and from October 2017 to March 2018 (AW2017). Also included are the relative changes from AW2016 to AW2017."met-condition-aw2016-aw2017.nc" Meteorology over northern China averaged over October 2016 to March 2017 (AW2016) and October 2017 to March 2018 (AW2017). Includes planetary boundary layer (PBL) height, surface temperature, relative humidity and 10-meter wind fields.<br>All files are in NetCDF format.
本数据集包含使用GEOS-Chem化学传输模型模拟得到的大气污染物地表浓度数据,以及京津冀地区地方与国家级大气监测网络实测得到的对应地表浓度数据。
所有数据均采用网络通用数据格式(NetCDF)存储。
数据文件包括:
1. "gc-outputs-AW2016-base-emissions.nc":包含2016年10月至2017年3月(AW2016时段)中国北方地区细颗粒物(PM2.5)组分、一氧化碳(CO)、二氧化氮(NO2)及二氧化硫(SO2)的GEOS-Chem模拟地表浓度,采用未缩放的自下而上排放清单计算得到。
2. "gc-outputs-AW2016-scaled-NO-SO2-CO.nc":包含2016年10月至2017年3月(AW2016时段)中国北方地区PM2.5组分、CO、NO2及SO2的GEOS-Chem模拟地表浓度,采用经过偏差校正的一氧化氮(NO)、SO2与CO排放清单计算得到。
3. "gc-outputs-AW2016-scaled-NO-SO2-CO-VOCs.nc":包含2016年10月至2017年3月(AW2016时段)中国北方地区PM2.5组分、CO、NO2及SO2的GEOS-Chem模拟地表浓度,采用经过偏差校正的NO、SO2、CO排放清单,并测试了人为源非甲烷挥发性有机物(NMVOCs)排放增加50%对CO浓度的影响。
4. "gc-outputs-AW2017-scaled-NO-SO2-CO-OC-BC.nc":包含2017年10月至2018年3月(AW2017时段)中国北方地区PM2.5组分、CO、NO2及SO2的GEOS-Chem模拟地表浓度,采用基于上一年度排放清单缩放得到的对应时段排放清单计算得到。
5. "gc-pm25-AW2017-with-MET-AW2016.nc":包含采用2017年10月至2018年3月(AW2017)排放清单与2016年10月至2017年3月(AW2016)气象场模拟得到的中国北方地区PM2.5地表浓度,给出了10月至3月的时段平均结果。
6. "gc-pm25-components-APHH-IAP.nc":包含2016年APHH野外实验期间,北京中国科学院大气物理研究所城市观测点对应模型网格内GEOS-Chem模拟的PM2.5及其组分的日平均浓度。
7. "gc-pm25-components-APHH-Pinggu.nc":包含2016年APHH野外实验期间,北京平谷乡村观测点对应模型网格内GEOS-Chem模拟的PM2.5及其组分的日平均浓度。
8. "surface-aq-regrid-to-geoschem.nc":包含将中国北方地区地方与国家级监测网络的地表空气质量观测数据插值至GEOS-Chem模型水平网格后的结果,时段涵盖2016年10月至2017年3月(AW2016)与2017年10月至2018年3月(AW2017),同时包含AW2016至AW2017时段的相对变化量。
9. "met-condition-aw2016-aw2017.nc":包含2016年10月至2017年3月(AW2016)与2017年10月至2018年3月(AW2017)时段中国北方地区的气象场数据,具体包括行星边界层(PBL)高度、地表气温、相对湿度及10米高度风场。
提供机构:
University College London
创建时间:
2021-10-12



