Sensitivity analysis of the satellite infrared hyper-spectral atmospheric sounder GIIRS on FY-4A

Chuan NONG; Qiu YIN; Ci SONG; Jiong SHU

doi:10.11972/j.issn.1001-9014.2021.03.012

Journals >Journal of Infrared and Millimeter Waves >Volume 40 >Issue 3 >Page 353 > Article

Journal of Infrared and Millimeter Waves
Vol. 40, Issue 3, 353 (2021)

Sensitivity analysis of the satellite infrared hyper-spectral atmospheric sounder GIIRS on FY-4A

Chuan NONG^1、2, Qiu YIN^3、*, Ci SONG^4、5, and Jiong SHU^1、2

Author Affiliations

¹Key Laboratory of Geographic Information Science Ministry of Education，East China Normal University，Shanghai 200241，China

²School of Geographic Sciences， East China Normal University， Shanghai 200241， China

³Shanghai Meteorological Service， Shanghai 200030， China

⁴College of Science， Zhongyuan University of Technology， Zhengzhou 450007， China

⁵School of Communication and Information Engineering， Shanghai University， Shanghai 200444， China

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DOI: 10.11972/j.issn.1001-9014.2021.03.012 Cite this Article

Chuan NONG, Qiu YIN, Ci SONG, Jiong SHU. Sensitivity analysis of the satellite infrared hyper-spectral atmospheric sounder GIIRS on FY-4A[J]. Journal of Infrared and Millimeter Waves, 2021, 40(3): 353 Copy Citation Text

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Fig. 1. The FY-4A GIIRS sounder noise sensitivity @300K for (a) long-wave band and (b) medium-wave band

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The change of atmospheric water vapor sensitivity (AE∆T)νH2O with the FY-4A GIIRS channels

Fig. 2. The change of atmospheric water vapor sensitivity

{(A E ∆ T)}_{ν H_{2} O}

with the FY-4A GIIRS channels

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Fig. 3. Atmospheric water vapor sensitivity

{(A E ∆ T)}_{ν H_{2} O}

when only water vapor is taken into account for atmospheric absorption components

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Fig. 4. The change of atmospheric ozone sensitivity

{(A E ∆ T)}_{ν O_{3}}

with the FY-4A GIIRS channels

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Fig. 5. The change of atmospheric CO₂ sensitivity

{(A E ∆ T)}_{ν C O_{2}}

with the FY-4A GIIRS channels

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Fig. 6. The change of atmospheric N₂O sensitivity

{(A E ∆ T)}_{ν N_{2} O}

with the FY-4A GIIRS channel

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Fig. 7. The change of atmospheric CH₄ sensitivity

{(A E ∆ T)}_{ν C H_{4}}

with the FY-4A GIIRS channel

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Fig. 8. The change of atmospheric temperature sensitivity

{(A E ∆ T)}_{ν T}

with the FY-4A GIIRS channels

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Fig. 9. Atmospheric temperature sensitivity

{(A E ∆ T)}_{ν T}

when only water vapor is taken into account for atmospheric absorption components

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Fig. 10. The change of surface temperature error sensitivity

{(S E ∆ T)}_{ν}

with the FY-4A GIIRS channels

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Wavenumber range（cm^-1）	Regression slope（K/100 cm^-1）	Sensitivity at the low end of range（K）	Sensitivity at the high end of range（K）	Standard deviation（K）
700~800	4.67	0.00	4.04	0.80
800-1 050	-1.08	4.04	0.94	0.44
1 050-1 130	0.84	0.94	1.65	0.76

Table 1. The statistical characteristics of water vapor sensitivity

{(A E ∆ T)}_{ν H_{2} O}

in GIIRS long-wave band

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Wavenumber range（cm^-1）

Regression slope

（K/100 cm^-1）

Sensitivity at the low end of range（K）

Sensitivity at the high end of range（K）

Mean value

（K）

Standard deviation（K）

1 650~2 000

4.60

1.36

2 000-2 200

-1.49

3.50

0.52

1.21

Table 2. The statistical characteristics of water vapor sensitivity

{(A E ∆ T)}_{ν H_{2} O}

in GIIRS medium-wave band

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Wavenumber range（cm^-1）	Mean value（K）	Standard deviation（K）
700-750	0.04	0.07
750-800	0.44	0.21
800-1 000	0.74	0.13
1 000-1 068	0.50	0.17
1 068-1 130	0.80	0.16

Table 3. The statistical results of the surface temperature error sensitivity

{(S E ∆ T)}_{ν}

for different wavenumber ranges of FY-4A GIIRS long-wave band

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Wavenumber range（cm^-1）	Mean value（K）	Standard deviation（K）
1 650-1 900	0.01	0.01
1 900-2 000	0.14	0.18
2 000-2 200	0.53	0.28

Table 4. The statistical results of the surface temperature error sensitivity

{(S E ∆ T)}_{ν}

for different wavenumber ranges of FY-4A GIIRS medium-wave band

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