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SCIENCE CHINA Earth Sciences, Volume 61 , Issue 7 : 957-972(2018) https://doi.org/10.1007/s11430-017-9150-0

Simulation of FY-2D infrared brightness temperature and sensitivity analysis to the errors of WRF simulated cloud variables

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  • ReceivedJun 16, 2017
  • AcceptedNov 24, 2017
  • PublishedMar 9, 2018

Abstract

This study simulated FY-2D satellite infrared brightness images based on the WRF and RTTOV models. The effects of prediction errors in WRF micro- and macroscale cloud variables on FY-2D infrared brightness temperature accuracy were analyzed. The principle findings were as follows. In the T+0–48 h simulation time, the root mean square errors of the simulated brightness temperatures were within the range 10–27 K, i.e., better than the range of 20–40 K achieved previously. In the T+0–24 h simulation time, the correlation coefficients between the simulated and measured brightness temperatures for all four channels were >0.5. The simulation performance of water channel IR3 was stable and the best. The four types of cloud microphysical scheme considered all showed that the simulated values of brightness temperature in clouds were too high and that the distributions of cloud systems were incomplete, especially in typhoon areas. The performance of the THOM scheme was considered best, followed in descending order by the WSM6, WDM6, and LIN schemes. Compared with observed values, the maximum deviation appeared in the range 253–273 K for all schemes. On the microscale, the snow water mixing ratio of the THOM scheme was much bigger than that of the other schemes. Improving the production efficiency or increasing the availability of solid water in the cloud microphysical scheme would provide slight benefit for brightness temperature simulations. On the macroscale, the cloud amount obtained by the scheme used in this study was small. Improving the diagnostic scheme for cloud amount, especially high-level cloud, could improve the accuracy of brightness temperature simulations. These results could provide an intuitive reference for forecasters and constitute technical support for the creation of simulated brightness temperature images for the FY-4 satellite.


Funded by

This work was supported jointly by the major special projects of the Information System Bureau

Ministry of Central Military Commission of Equipment Development(Grant,No.,GFZX0402180102)

National Natural Science Foundation of China(Grant,No.,U1533131)


Acknowledgment

This work was supported jointly by the Major Special Projects of the Information System Bureau, the Special Proget of Earth Observation with High Resolution (Grant No. GFZX0402180102) and the National Natural Science Foundation of China (Grant No. U1533131).


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  • Figure 1

    Simulation area (shaded area represents terrain height).

  • Figure 2

    Distributions of simulated ((e)–(h)) and observed ((a)–(d)) brightness temperatures at T+24 h of the T3 test.

  • Figure 3

    Evolutions of ME (a), RMSE (b), and R (c) of the simulated brightness temperatures of the T3 test and the observed brightness temperature.

  • Figure 4

    Distributions of simulated brightness temperature of channel IR1 at T+24 h: (a) T1, (b) T2, and (c) T4 test (Blue rectangles indicate the frontal area (top) and the typhoon area (bottom)).

  • Figure 5

    Evolutions of ME, RMSE, R, and FRAC of simulated brightness temperatures by channel IR1 of the T1–T4 tests and the observed brightness temperatures. (a) ME, (b) RMSE, (c) R, (d) FRAC (≥273 and 253–273 K; Frontal), (e) FRAC (≥273 and 253–273 K; Typhoon).

  • Figure 6

    Vertical profiles of areal mean stratified cloud cover and total water mass mixing ratio in frontal and typhoon areas at T+24 h of the T1–T4 tests. (a) Total water mass mixing ratio in frontal area; (b) total water mass mixing ratio in typhoon area; (c) cloud cover in frontal area; (d) cloud cover in typhoon area.

  • Figure 7

    Evolutions of (a) ME difference, (b) RMSE difference of channel IR1 in the typhoon area (Difference: T7–T3 (pink line); T8–T3 (red line); T9–T4 (blue line); T10–T4 (green line)).

  • Figure 8

    Evolutions of ME, RMSE, R, SLOP, and FRAC of simulated brightness temperatures in the typhoon area with different cloud cover amount. (a) ME, (b) RMSE, (c) R, (d) SLOP, (e) FRAC (≥273 K), (f) FRAC (253–273 K), and (g) FRAC(<253 K).

  • Figure 9

    Distribution of simulated brightness temperatures of channel IR1 channel at T+24 h. (a) Cloud cover increased by 20% in the cloud area and (b) cloud cover set equal to 10 in the cloud area.

  • Table 1   Experimental schemes adopted in the study

    Test

    Cloud microphysical scheme

    T1

    LIN

    T2

    WSM6

    T3

    THOM

    T4

    WDM6

  • Table 2   Test schemes

    Test

    Cloud microphysical scheme

    In-cloud solid water content threshold (g m−3)

    Changes of in-cloud solid water content

    T5

    THOM scheme

    10−7

    Invariability

    T6

    10−9

    T7

    10−8

    Increase 20%

    T8

    Decrease 20%

    T9

    WDM6 scheme

    10−8

    Increase 20%

    T10

    Decrease 20%

  • Table 3   Test scheme

    Test

    Cloud microphysical scheme

    3-D cloud change value

    T11

    THOM

    Decrease 10%

    T12

    Increase 10%

    T13

    Increase 20%

    T14

    Increase 30%

    T15

    Equivalently 10

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