Validating Aerosol Optical Depth Estimation Methods Using the National Institute of Environmental Research Operational Numerical Forecast Model
, Ja-Ho Koo 1, Chang H. Jung 3, Ki-Pyo Nam 2 and Sang-Hun Park 1,*Round 1
Reviewer 1 Report
This work, while dealing with a interesting topic, needs to be reorganized and rewritten in some parts.
The introduction is lacking, the authors do not present the state of the art on the subject matter. Furthermore, the structure of the article is not presented clearly.
In the second chapter “Data and methods” an organic and complete description of the work is missing, both in the description of the data and in the methods used.
In particular, the following parts should be integrated:
Chapter 2: This study uses the results of the NIER modeling system to estimate AOD with 3 different methods. These results are compared with some satellite images and validated with AERONET data. Furthermore, the observed PM25 data are used to validate the PM2.5 estimates of the NIER system.
- 1 NIER model system: describe the NIER model system, the study domain, the time period in an exhaustive manner. In Figure 1 it is also necessary to show domain 2, e.g. fig.1a D1 (27 Km); fig.1b) D2 (9 Km), fig 1c D3 (3 Km).
2.2 observed data: Add PM2.5 observation sites (red dots) of Air Korea in the Seoul metropolitan area.
2.3 AOD estimation methods: identify the three methods used as in chapter 3, e.g. M1 (Malm), M2 (Kiehl), M3 (Pitchford).
Chapter 3 Results: Satellite images are used only as a comparison (1 image in winter, one in spring), but in fact cannot be used to evaluate the model outputs due to the almost complete cloud cover.
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Reviewer 2 Report
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