Fig. 1. Spectral response functions of near-infrared channel of MERSI-RM used for water vapor retrieval

Fig. 2. Matching results between natural logarithm of water vapor absorption transmittance of channel at 0.940 μm of MERSI-RM and slant column content of water vapor

Fig. 3. Observation and PWV retrieval results of MERSI-RM in Australia. (a) False color image; (b) MERSI-RM PWV data developed using semi-empirical algorithm; (c) MERSI-RM PWV data developed using algorithm based on radiative transfer model

Fig. 4. Observation and PWV retrieval results of MERSI-RM in East Africa. (a) False color image; (b) MERSI-RM PWV data developed using semi-empirical algorithm; (c) MERSI-RM PWV data developed using algorithm based on radiative transfer model

Fig. 5. Validation results of MERSI-RM and MODIS PWV data. (a) MERSI-RM PWV data developed using semi-empirical algorithm; (b) MERSI-RM PWV data developed using algorithm based on radiative transfer model; (c) MODIS PWV data. Each point represents a matching result in figure, and color of each point is determined by colorbar and number of points in circle with radius of 0.035 centered on it

Fig. 6. Matching results of actual and simulated apparent reflectances of 0.940 μm channel of MERSI-RM. Color of each point in figure is determined by colorbar and number of points in circle with radius of 0.002 centered on it

Fig. 7. Randomly selected matching results between natural logarithm of water vapor absorption transmittance and slant column water vapor content of 0.940 μm channel of MERSI-RM

Fig. 8. Matching results between ground-based PWV data and MERSI-RM PWV data developed using model A and model B. (a) Validation results of retrieval results developed using model A; (b) validation results of retrieval results developed using model B; (c) matching results of retrieval results developed using model A and model B. Color of each point is determined by colorbar and number of points in circle with radius of 0.035 centered on it