Journal cover Journal topic
Atmospheric Measurement Techniques An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 3.248 IF 3.248
  • IF 5-year value: 3.650 IF 5-year 3.650
  • CiteScore value: 3.37 CiteScore 3.37
  • SNIP value: 1.253 SNIP 1.253
  • SJR value: 1.869 SJR 1.869
  • IPP value: 3.29 IPP 3.29
  • h5-index value: 47 h5-index 47
  • Scimago H index value: 60 Scimago H index 60
Volume 11, issue 2
Atmos. Meas. Tech., 11, 1233-1250, 2018
https://doi.org/10.5194/amt-11-1233-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Atmos. Meas. Tech., 11, 1233-1250, 2018
https://doi.org/10.5194/amt-11-1233-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 02 Mar 2018

Research article | 02 Mar 2018

Evaluation of linear regression techniques for atmospheric applications: the importance of appropriate weighting

Cheng Wu and Jian Zhen Yu
Related authors  
Chemical characteristics of brown carbon in atmospheric particles at a suburban site near Guangzhou, China
Yi Ming Qin, Hao Bo Tan, Yong Jie Li, Zhu Jie Li, Misha I. Schurman, Li Liu, Cheng Wu, and Chak K. Chan
Atmos. Chem. Phys., 18, 16409-16418, https://doi.org/10.5194/acp-18-16409-2018,https://doi.org/10.5194/acp-18-16409-2018, 2018
Short summary
Quantifying black carbon light absorption enhancement with a novel statistical approach
Cheng Wu, Dui Wu, and Jian Zhen Yu
Atmos. Chem. Phys., 18, 289-309, https://doi.org/10.5194/acp-18-289-2018,https://doi.org/10.5194/acp-18-289-2018, 2018
Short summary
Mixing state of oxalic acid containing particles in the rural area of Pearl River Delta, China: implications for the formation mechanism of oxalic acid
Chunlei Cheng, Mei Li, Chak K. Chan, Haijie Tong, Changhong Chen, Duohong Chen, Dui Wu, Lei Li, Cheng Wu, Peng Cheng, Wei Gao, Zhengxu Huang, Xue Li, Zhijuan Zhang, Zhong Fu, Yanru Bi, and Zhen Zhou
Atmos. Chem. Phys., 17, 9519-9533, https://doi.org/10.5194/acp-17-9519-2017,https://doi.org/10.5194/acp-17-9519-2017, 2017
Short summary
Inter-comparison of NIOSH and IMPROVE protocols for OC and EC determination: implications for inter-protocol data conversion
Cheng Wu, X. H. Hilda Huang, Wai Man Ng, Stephen M. Griffith, and Jian Zhen Yu
Atmos. Meas. Tech., 9, 4547-4560, https://doi.org/10.5194/amt-9-4547-2016,https://doi.org/10.5194/amt-9-4547-2016, 2016
Short summary
Measurements of non-volatile aerosols with a VTDMA and their correlations with carbonaceous aerosols in Guangzhou, China
Heidi H. Y. Cheung, Haobo Tan, Hanbing Xu, Fei Li, Cheng Wu, Jian Z. Yu, and Chak K. Chan
Atmos. Chem. Phys., 16, 8431-8446, https://doi.org/10.5194/acp-16-8431-2016,https://doi.org/10.5194/acp-16-8431-2016, 2016
Short summary
Related subject area  
Subject: Aerosols | Technique: In Situ Measurement | Topic: Data Processing and Information Retrieval
Data inversion methods to determine sub-3 nm aerosol size distributions using the particle size magnifier
Runlong Cai, Dongsen Yang, Lauri R. Ahonen, Linlin Shi, Frans Korhonen, Yan Ma, Jiming Hao, Tuukka Petäjä, Jun Zheng, Juha Kangasluoma, and Jingkun Jiang
Atmos. Meas. Tech., 11, 4477-4491, https://doi.org/10.5194/amt-11-4477-2018,https://doi.org/10.5194/amt-11-4477-2018, 2018
Short summary
Atmospheric particulate matter characterization by Fourier Transform Infrared spectroscopy: a review of statistical calibration strategies for carbonaceous aerosol quantification in US measurement networks
Satoshi Takahama, Ann M. Dillner, Andrew T. Weakley, Matteo Reggente, Charlotte Bürki, Mária Lbadaoui-Darvas, Bruno Debus, Adele Kuzmiakova, and Anthony S. Wexler
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2018-70,https://doi.org/10.5194/amt-2018-70, 2018
Revised manuscript accepted for AMT
Short summary
A novel method for calculating ambient aerosol liquid water content based on measurements of a humidified nephelometer system
Ye Kuang, Chun Sheng Zhao, Gang Zhao, Jiang Chuan Tao, Wanyun Xu, Nan Ma, and Yu Xuan Bian
Atmos. Meas. Tech., 11, 2967-2982, https://doi.org/10.5194/amt-11-2967-2018,https://doi.org/10.5194/amt-11-2967-2018, 2018
Short summary
Improved source apportionment of organic aerosols in complex urban air pollution using the multilinear engine (ME-2)
Qiao Zhu, Xiao-Feng Huang, Li-Ming Cao, Lin-Tong Wei, Bin Zhang, Ling-Yan He, Miriam Elser, Francesco Canonaco, Jay G. Slowik, Carlo Bozzetti, Imad El-Haddad, and André S. H. Prévôt
Atmos. Meas. Tech., 11, 1049-1060, https://doi.org/10.5194/amt-11-1049-2018,https://doi.org/10.5194/amt-11-1049-2018, 2018
Short summary
On Aethalometer measurement uncertainties and an instrument correction factor for the Arctic
John Backman, Lauren Schmeisser, Aki Virkkula, John A. Ogren, Eija Asmi, Sandra Starkweather, Sangeeta Sharma, Konstantinos Eleftheriadis, Taneil Uttal, Anne Jefferson, Michael Bergin, Alexander Makshtas, Peter Tunved, and Markus Fiebig
Atmos. Meas. Tech., 10, 5039-5062, https://doi.org/10.5194/amt-10-5039-2017,https://doi.org/10.5194/amt-10-5039-2017, 2017
Short summary
Cited articles  
Ayers, G. P.: Comment on regression analysis of air quality data, Atmos. Environ., 35, 2423–2425, https://doi.org/10.1016/S1352-2310(00)00527-6, 2001.
Bauer, J. J., Yu, X.-Y., Cary, R., Laulainen, N., and Berkowitz, C.: Characterization of the sunset semi-continuous carbon aerosol analyzer, J. Air Waste Manage., 59, 826–833, https://doi.org/10.3155/1047-3289.59.7.826, 2009.
Boggs, P. T., Donaldson, J. R., and Schnabel, R. B.: Algorithm 676: ODRPACK: software for weighted orthogonal distance regression, ACM T. Math. Software, 15, 348–364, https://doi.org/10.1145/76909.76913, 1989.
Brauers, T. and Finlayson-Pitts, B. J.: Analysis of relative rate measurements, Int. J. Chem. Kinet., 29, 665–672, https://doi.org/10.1002/(SICI)1097-4601(1997)29:9<665::AID-KIN3>3.0.CO;2-S, 1997.
Cantrell, C. A.: Technical Note: Review of methods for linear least-squares fitting of data and application to atmospheric chemistry problems, Atmos. Chem. Phys., 8, 5477–5487, https://doi.org/10.5194/acp-8-5477-2008, 2008.
Publications Copernicus
Download
Short summary
A new data generation scheme that employs the Mersenne twister (MT) pseudorandom number generator is proposed to conduct benchmark tests on a variety of linear regression techniques. With an appropriate weighting, Deming regression (DR), weighted ODR (WODR), and York regression (YR) are recommended for atmospheric studies when both x and y data have measurement errors. An Igor-based program (Scatter Plot) is developed to facilitate the regression implementation.
A new data generation scheme that employs the Mersenne twister (MT) pseudorandom number...
Citation
Share