我们开发了一系列基于Igor Pro的大气数据处理及可视化的工具包，免费提供给同行使用。
I have developed a set of computer programs to meet specific research purposes. These toolkits are open-sourced and free to use.
已开发的Igor程序包：
List of programs I developed:
ScatterPlot
下载地址 https://doi.org/10.5281/zenodo.832416
Scatter Plot是一个方便的工具，可以最大限度地提高大气科学中数据可视化的效率。 虽然有许多现有的通用数据可视化软件获得了广泛应用，但不能满足许多大气科学特定的研究目的，这促使了Scatter Plot 程序的开发。 本程序包括WODR, Deming和York算法进行线性回归，这三种算法考虑了X和Y都包含不确定性（观测误差），对大气的应用而言更加客观地反映真实情况。它是基于Igor的，并且包含大量用于数据分析和图形绘图的有用功能，包括批量绘图，通过图形界面实现数据掩蔽，Z轴的颜色编码，根据数据或字符串进行过滤和分组。
有关Scatter Plot的评估和应用的更多细节，请参阅（如果你在发表的文章中用到了本软件，请引用以下文章）
Wu, C. and Yu, J. Z.: Evaluation of linear regression techniques for atmospheric applications: the importance of appropriate weighting, Atmos. Meas. Tech., 11, 1233-1250, doi:10.5194/amt-11-1233-2018, 2018.
Scatter Plot is a handy tool to maximize the efficiency of data visualization in atmospheric science. Many existing generalized data visualization software had been extensively used, but they remain unable to fulfill a number of specify research purposes in atmospheric science. That becomes the motivation of Scatter Plot development. The program includes Deming and York algorithm for linear regression, which considers uncertainties in both X and Y, and is more realistic for atmospheric applications. Scatter Plot is Igor based, and packed with a variety of useful features for data analysis and graph plotting, including batch plotting, data masking via GUI, color coding in Z-axis, data filtering and grouping on different time scales (year, season, month, hour, day of week, etc).
For more details regarding the evaluation and application of Scatter Plot, please refer to
Wu, C. and Yu, J. Z.: Evaluation of linear regression techniques for atmospheric applications: the importance of appropriate weighting, Atmos. Meas. Tech., 11, 1233-1250, doi:10.5194/amt-11-1233-2018, 2018.
HistBox
下载地址 https://doi.org/10.5281/zenodo.832405
Wu, C., Wu, D., and Yu, J. Z.: Quantifying black carbon light absorption enhancement with a novel statistical approach, Atmos. Chem. Phys., 18, 289-309, doi:10.5194/acp-18-289-2018, 2018.
HistBox is an Igor Pro based toolkit that maximize the efficiency of data visualization in atmospheric science. Numerous existing generalized data visualization software had been widely used by the community, but a number of features are lacked to satisfy many specified research purposes in atmospheric science. That leads to the development of HistBox, which enables batch plotting for histogram and box plot with specific optimization for atmospheric science (e.g. batch plotting by year/season/month, by hour, by day of week, by user defined string). The toolkit also provides data averaging and alignment function which are common steps in atmospheric data processing. Batch plotting and comprehensive data sorting, grouping and screening features ensure efficient data visualization.
Please cite this paper if HistBox toolkit is used in your publication:
Wu, C., Wu, D., and Yu, J. Z.: Quantifying black carbon light absorption enhancement with a novel statistical approach, Atmos. Chem. Phys., 18, 289-309, doi:10.5194/acp-18-289-2018, 2018.
下载地址 https://doi.org/10.5281/zenodo.832395
由Millet (2005, JGR)最初提出的最小相关系数法（MRS）是确定性示踪法中的一次比值的有效方法。本程序的目的是通过一个用户友好的图形界面来执行MRS计算。MRS的应用不仅限于OC/ EC示踪法计算SOC，只要一个可靠示踪物，就可扩展到其他的应用中(例如计算黑碳吸光增强系数Eabs)。
本程序的MRS计算可以通过不同的时间维度（批处理计算）来完成：年，年/季，季，年/月，月，按年及月和小时。数据筛选功能也被提供了用以抓取特定的数据子集进行MRS计算。
详情关于MRS方法的模式论证及应用，请参考 （如果你在文章中用到了本软件，请引用以下文章）
Wu, C. and Yu, J. Z.: Determination of primary combustion source organic carbon-to-elemental carbon (OC / EC) ratio using ambient OC and EC measurements: secondary OC-EC correlation minimization method, Atmos. Chem. Phys., 16, 5453-5465, doi:10.5194/acp-16-5453-2016, 2016.
Wu, C., Wu, D., and Yu, J. Z.: Quantifying black carbon light absorption enhancement with a novel statistical approach, Atmos. Chem. Phys., 18, 289-309, doi:10.5194/acp-18-289-2018, 2018.
Minimum R Squared Method (MRS) initially proposed by Millet et al. (2005) is a useful method to determine the primary ratio in the tracer method. This Igor Pro based toolkit facilitates MRS calculation via a user-friendly GUI. The MRS application is not limited in the OC/EC tracer method, but can also be extended to other applications (e.g. BC light absorption enhancement, Eabs) as long as a reliable tracer is available.
MRS calculation can be done by different temporal cycles (batch calculation): by year, by year&season, by season, by year&month, by month, by year&month&hour. A data filter is also available to calculate MRS on a specific subset of data using a number of user-defined constraints.
For more details regarding the evaluation and application of the MRS method, please refer to (Please cite these papers if MRS toolkit is used in your publication)
Wu, C. and Yu, J. Z.: Determination of primary combustion source organic carbon-to-elemental carbon (OC / EC) ratio using ambient OC and EC measurements: secondary OC-EC correlation minimization method, Atmos. Chem. Phys., 16, 5453-5465, doi:10.5194/acp-16-5453-2016, 2016.
Wu, C., Wu, D., and Yu, J. Z.: Quantifying black carbon light absorption enhancement with a novel statistical approach, Atmos. Chem. Phys., 18, 289-309, doi:10.5194/acp-18-289-2018, 2018.
下载地址 https://doi.org/10.5281/zenodo.832403
从基于膜采样的测量获得的吸收系数数据(例如Aethalomenter AE31/AE30)需要仔细校正，因为其固有的系统误差，包含采样膜的matrix效应，散射效应和载荷效应。bATN（采样膜上的光衰减）和 babs（环境空气中悬浮的气溶胶的光吸收系数）之间的非线性关系已成为Aethalomenter的挑战，因为在其输出数据中默认地假设为线性关系。 本工具包提供一个用户友好的界面来执行Weingartner（2003）和Virkkula（2007）算法数据订正。 此外本工具包还提供QA / QC特性，包括传感器电压的等统计信息。
本工具包供学术界/非商业目的免费使用。
如果发表的文章中使用了本程序处理数据，请引用以下文章：
Wu, C., Wu, D., and Yu, J. Z.: Quantifying black carbon light absorption enhancement with a novel statistical approach, Atmos. Chem. Phys., 18, 289-309, doi:10.5194/acp-18-289-2018, 2018.
Data acquired from filter-based measurements such as Aethalomenter (AE31/AE30) needs carefully correction due to its inherent systemic error, i.e., filter matrix effect, scattering effect and loading effect. The non-linear relationship between bATN (light attenuation on the filter) and babs (light absorption coefficient of suspended aerosol in ambient air) has become a challenge for Aethalomenter, as a linear relationship is assumed by default in its output data. This toolkit provides a user-friendly interface to implement Weingartner (2003) and Virkkula (2007) algorithm for Aethalometer data correction. QA/QC features are also provided, including statistics of sensor voltage.
This Igor Pro based toolkit can be used freely for academic/noncommercial purposes.
Please cite this paper if Aethalometer data processor is used in your publication:
Wu, C., Wu, D., and Yu, J. Z.: Quantifying black carbon light absorption enhancement with a novel statistical approach, Atmos. Chem. Phys., 18, 289-309, doi:10.5194/acp-18-289-2018, 2018.
下载地址 https://doi.org/10.5281/zenodo.1470457
DRI2001a数据处理软件是DRI2001a碳分析仪数据处理效率最大化的实用工具。DRI2001a碳分析仪广泛用于大气科学中的有机碳（OC）和元素碳（EC）测定。仪器的输出数据采用报告形式，这对进一步的数据处理不友好。本工具包可以将仪器输出的txt报告转置成行列形式的表格。除了数据处理，它还提供QA / QC功能（例如，内标峰和基线漂移随时间变化趋势画图）。
如果你在文章中用到了本软件，请引用以下文章
Wu, C., Huang, X. H. H., Ng, W. M., Griffith, S. M., and Yu, J. Z.: Inter-comparison of NIOSH and IMPROVE protocols for OC and EC determination: Implications for inter-protocol data conversion, Atmos. Meas. Tech.， doi: 10.5194/amt-9-4547-2016, 2016.
Wu, C., Ng, W. M., Huang, J., Wu, D., and Yu, J. Z.: Determination of Elemental and Organic Carbon in PM2.5 in the Pearl River Delta Region: Inter-Instrument (Sunset vs. DRI Model 2001 Thermal/Optical Carbon Analyzer) and Inter-Protocol Comparisons (IMPROVE vs. ACE-Asia Protocol), Aerosol Sci Tech, 46, 610-621, doi:10.1080/02786826.2011.649313, 2012
下载地址 https://doi.org/10.5281/zenodo.1215283
下载地址 https://doi.org/10.5281/zenodo.832399
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