Data for "Background Conditions Influence the Estimated Cloud Radiative Effects of Anthropogenic Aerosol Emissions from Different Source Regions"

IntroductionThese data accompany the for the article by Grandey and Wang (2019), Background Conditions Influence the Estimated Cloud Radiative Effects of Anthropogenic Aerosol Emissions from Different Source Regions, Journal of Geophysical Research: Atmospheres, doi:10.1029/2018JD029644.The files contain input data and output data associated with the CESM-CAM5 climate model simulations described in the manuscript.Please also see https://github.com/grandey/draft2017a-region-rfp for details of the model configuration, data management, and analysis.Input data (input_p16a_F_2016-07-29_16-16.tar.gz)input_p16a_F_2016-07-29_16-16.tar.gz, a tar archive, contains the modified emissions data files for the simulations. The tar archive unpacks to p16a_F/.The scripts used to generate these files can be viewed at https://github.com/grandey/draft2017a-region-rfp/tree/master/configuration_and_input.Output data (p1*.nc)The p1*.nc NetCDF files contain a subset of the output data from the simulations. These data have been converted to time-series format using PyReshaper, as described in https://github.com/grandey/draft2017a-region-rfp/blob/master/data_management.org.The file naming convention is as follows:[SIMULATION].cam.h0.[VARIABLE].ncwhere1. [SIMULATION] refers to a simulation casename (e.g. "p16a_F_Hist_2000");3. [VARIABLE] refers to a specific variable code (e.g. "BURDENSO4" is sulfate burden).For an example of how these data can be used, see lib_draft2017a.py and figures_draft2017a.ipynb in https://github.com/grandey/draft2017a-region-rfp.NetCDF (.nc) file formatMost of the data files are in NetCDF format, a binary data format commonly used for climate model input and output data. These NetCDF files contain metadata which aid interpretation of the data. For example, the metadata contain a description of each output variable. The metadata and data can be explored using the free Panoply software tool (https://www.giss.nasa.gov/tools/panoply/ [accessed 16-Aug-2018]).File size warningMany of the NetCDF files are relatively large.ContributorsB. S. Grandey and C. Wang have both contributed to this project, as described in the author contributions statement of "Background Conditions Influence the Estimated Cloud Radiative Effects of Anthropogenic Aerosol Emissions from Different Source Regions".AcknowledgementsThis research is supported by the National Research Foundation of Singapore under its Campus for Research Excellence and Technological Enterprise programme. The Center for Environmental Sensing and Modeling is an interdisciplinary research group of the Singapore-MIT Alliance for Research and Technology. This research is also supported by the U.S. National Science Foundation (AGS-1339264), by the U.S. Department of Energy, Office of Science (DE-FG02-94ER61937), and by L’Agence National de la Recherche (ANR) of France through the Make-Our-Planet-Great-Again Initiative, ANR-18-MPGA-003 EUROACE. The CESM project is supported by the National Science Foundation and the Office of Science (BER) of the U.S. Department of Energy. The computational work for this research was performed on resources of the National Supercomputing Centre, Singapore (https://www.nscc.sg).Primary referenceB. S. Grandey and C. Wang (2019), Background Conditions Influence the Estimated Cloud Radiative Effects of Anthropogenic Aerosol Emissions from Different Source Regions, Journal of Geophysical Research: Atmospheres, doi:10.1029/2018JD029644. (A preprint is available via http://arxiv.org/abs/1808.05778.)

本数据集配套于Grandey与Wang（2019）发表于《Journal of Geophysical Research: Atmospheres》的论文《背景条件对不同源区人为气溶胶排放的云辐射效应估算的影响（Background Conditions Influence the Estimated Cloud Radiative Effects of Anthropogenic Aerosol Emissions from Different Source Regions）》，DOI:10.1029/2018JD029644。
本数据集包含论文中所述的CESM-CAM5气候模式模拟的相关输入与输出数据。如需了解模式配置、数据管理与分析方法的详细信息，请访问https://github.com/grandey/draft2017a-region-rfp。

### 输入数据（input_p16a_F_2016-07-29_16-16.tar.gz）
该tar归档文件包含模拟所用的修正后排放数据文件，解压后将生成p16a_F/目录。生成此类文件所用的脚本可在https://github.com/grandey/draft2017a-region-rfp/tree/master/configuration_and_input查看。

### 输出数据（p1*.nc）
p1*.nc格式的NetCDF（网络通用数据格式，Network Common Data Form）文件包含模拟输出数据的子集。如https://github.com/grandey/draft2017a-region-rfp/blob/master/data_management.org所述，此类数据已通过PyReshaper工具转换为时间序列格式。
文件命名规范如下：
[SIMULATION].cam.h0.[VARIABLE].nc
其中：
1. [SIMULATION] 为模拟案例名称（例如"p16a_F_Hist_2000"）；
2. [VARIABLE] 指代特定变量代码（例如"BURDENSO4"表示硫酸盐负荷）。
如需了解此类数据的使用示例，请参阅https://github.com/grandey/draft2017a-region-rfp中的lib_draft2017a.py和figures_draft2017a.ipynb文件。

### NetCDF（.nc）文件格式
本数据集多数数据文件采用NetCDF格式，这是一种常用于气候模式输入输出的二进制数据格式。此类NetCDF文件包含辅助数据解析的元数据，例如各输出变量的说明信息。用户可通过免费工具Panoply（https://www.giss.nasa.gov/tools/panoply/，访问日期：2018年8月16日）查看元数据与数据内容。

### 文件大小提示
多数NetCDF文件体积较大。

### 贡献者
本项目的贡献者为B. S. Grandey与C. Wang，详情可参阅对应论文的作者贡献声明。

### 致谢
本研究得到新加坡国家研究基金会的卓越研究与科技企业园区（CREATE）计划资助。环境传感与建模中心是新加坡-麻省理工学院研究与技术联盟（SMART）下设的跨学科研究团队。本研究同时获得美国国家科学基金会（项目编号：AGS-1339264）、美国能源部科学办公室（项目编号：DE-FG02-94ER61937），以及法国国家研究署（ANR）通过"Make-Our-Planet-Great-Again"计划资助的项目ANR-18-MPGA-003 EUROACE的支持。CESM项目得到美国国家科学基金会与美国能源部科学办公室（生物与环境研究局，BER）的资助。本研究的计算工作依托新加坡国家超级计算中心（NSCC）的计算资源完成，网址：https://www.nscc.sg。

### 主要参考文献
B. S. Grandey与C. Wang（2019）. 背景条件对不同源区人为气溶胶排放的云辐射效应估算的影响[J]. 地球物理学研究杂志：大气卷, DOI:10.1029/2018JD029644。预印本可通过http://arxiv.org/abs/1808.05778获取。