@article{54,
  keywords = {Nitrate, Bias, FAC2},
  author = {B. Mahesh and B.V. Rama and B. Spandana and M.S.S.R.K.N. Sarma and K. Niranjan and V. Sreekanth},
  title = {Evaluation of MERRAero PM2.5 over Indian cities},
  abstract = {The present study evaluates the performance of NASA s Modern-Era Retrospective Analysis for Research and Applications Aerosol Reanalysis (MERRAero) over Indian cities by validating its PM2.5 concentrations (reconstructed using individual species concentrations) against that of the real-time hourly observations. The study period of the present analysis is between 2013 and 2015. Several performance statistics (mean bias, mean absolute bias, mean fraction, correlation coefficient, FAC2) are derived for the assessment, which was carried out on various temporal scales. Grossly, MERRAero captured the temporal and spatial variations in PM2.5 over India, but consistently underestimated the concentrations (except for significant instances of overestimations during summer and monsoon). The spatio-temporal gradients observed in MERRAero PM2.5 are not as steep as that of observational PM2.5. The bias in MERRAero PM2.5 increased with increase in ambient PM2.5, while the percentage underestimation has not followed any trend. During winters, the MERRAero derived PM2.5 values are slightly less than half that of the observations. Based on the diurnal comparisons, it was found that the bias/underestimation by MERRAero is higher during rush hours. The possible explanations for the observed discrepancies are discussed and the limitations of the study are listed.},
  year = {2019},
  journal = {Advances in Space Research},
  volume = {64},
  number = {2},
  pages = {328-334},
  issn = {0273-1177},
  url = {https://www.sciencedirect.com/science/article/pii/S0273117719303023},
  doi = {https://doi.org/10.1016/j.asr.2019.04.026},
}