Author Affiliations
1Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu , China2School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, Jiangsu , Chinashow less
Fig. 1. Sub-module structure and logic framework of the forward model
Fig. 2. Spatiotemporal matching between CALIPSO and WRF data
Fig. 3. Optical properties and scattering phase functions of three types of particles. (a) Optical property of ice crystal; (b) scattering phase function of ice crystal; (c) optical property of liquid water particle; (d) scattering phase function of liquid water particle; (e) optical property of aerosol; (f) scattering phase function of aerosol
Fig. 4. Deep convection scene simulation. (a) WRF simulation area; (b) layered distribution of ice and cloud water mixing ratio
Fig. 5. Deep convection scene simulation. (a) Ice and water content; (b) backscattering coefficient; (c) attenuation coefficient; (d) attenuated backscattering coefficient; (e) simulation signal; (f) signal-to-noise ratio
Fig. 6. Ice cloud and aerosol scene simulation. (a) WRF simulation area; (b) layered distribution of ice water content and aerosol dry mass
Fig. 7. Ice cloud and aerosol scene simulation. (a) aerosol content and ice water content; (b) backscattering coefficient; (c) attenuation coefficient; (d) attenuated backscattering coefficient; (e) simulation signal; (f) signal-to-noise ratio
Fig. 8. Sensitivity analysis in aerosol scene. (a) Simulation signal; (b) signal-to-noise ratio
Fig. 9. Influence of three parameters on the SNR of simulation signal. (a) Influence of Zsat on SNR; (b) influence of three Zsat on SNR at different altitudes; (c) influence of three altitudes on SNR under different Zsat; (d) influence of Dtel on SNR; (e) influence of three Dtel on SNR at different altitudes; (f) influence of three altitudes on SNR under different Dtel; (g) influence of E on SNR; (h) influence of three E on SNR at different altitudes; (i) influence of three altitudes on SNR under different E
Fig. 10. Influence of two PSD on simulation signal. (a) Simulation signal of Gamma PSD; (b) simulation signal of Modified Gamma PSD; (c) comparison of two PSD simulation signals at three different latitudes; (d) difference of PSD simulation signals at three different latitudes
Fig. 11. Comparison of attenuated backscattering coefficient. (a) Attenuated backscattering coefficient of CALIPSO Level 1 data; (b) ice water content of CALIPSO Level 2 data; (c) attenuated backscattering coefficient simulated by the forward model; (d) comparison of the average value between the Level 1 data and the simulated backscattering coefficient
Type | Parameter | Symbol | Unit |
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Hydrometeor | Mixing ratio of cloud/ice/rain/snow/graupel | QCLOUD/QICE/QRAIN/ QSNOW/GRAUPEL | kg·kg-1 | Aerosol | Dry mass of PM10 | PM10 | μg·m3 | Dry mass of PM2.5 | PM2.5 |
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Table 1. Parameters of hydrometeor and aerosol in WRF and WRF-CHEM
Symbol | Parameter | Value(example) |
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Zsat /km | Satellite orbit altitude | 705 | Dtel /m | Telescope diameter | 1.0 | Tsys | Optical system transmittance | 0.14 | | Quantum efficiency of PMT photocathode | 0.25@532 nm | G | PMTphotoelectron gain coefficient | 5×106 | Cadu | Digital to analog conversion coefficient | 1/1000 | E /mJ | Laser single pulse energy | 150 |
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Table 2. Some important instrument parameters
Altitude region /km | Vertical resolution /m | Horizontal resolution /km | Samples per profile |
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30.1-40.0 | 300 | 5.0 | 33 | 20.2-30.1 | 180 | 5/3 | 55 | 8.2-20.2 | 60 | 1.0 | 200 | -0.5-8.2 | 30 | 1/3 | 290 | -2--0.5 | 300 | 1/3 | 5 |
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Table 3. Spatial resolution of CALIPSO Level 1B data