Selection of optimized microwindows for atmospheric spectroscopy

Thomas von Clarmann; Georg Echle

doi:10.1364/AO.37.007661

Applied Optics
Vol. 37,
Issue 33,
pp. 7661-7669
(1998)
•https://doi.org/10.1364/AO.37.007661

Selection of optimized microwindows for atmospheric spectroscopy

Thomas von Clarmann and Georg Echle

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Thomas von Clarmann and Georg Echle, "Selection of optimized microwindows for atmospheric spectroscopy," Appl. Opt. 37, 7661-7669 (1998)

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Abstract

In atmospheric Fourier transform spectroscopy so-called microwindows are usually analyzed for retrieval of trace constituents rather than the spectrum as a whole. These microwindows, which are sets of consecutive spectral grid points, contain one or more prominent transitions of the target species, whereas it is desirable for the signal of interfering species to be minimum. An objective, quantitative method is presented to optimize the microwindow boundaries with respect to random errors, signal of interfering species, other parameter and systematic errors and to select optimum microwindows with respect to their associated retrieval errors. Case studies for N₂O microwindows are performed for a spaceborne limb emission experiment to assess the dependence of the optimum microwindow width on the retrieval concept.

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Case	z _tan (km)	∊ (%)	Fit Parameters	Uncertainties (1 σ)
1	20.0 and 35.0	Variable	N₂O	CH₄ ± 50%
2.a	20.0 and 35.0	0.1	N₂O	CH₄ ± 20%
				H₂O ± 30%
				CO₂ ± 1%
				LOS ± 100 m
				T ± 1 K
2.b	20.0 and 35.0	0.1	N₂O	CH₄ ± 20%
			background	H₂O ± 30%
				CO₂ ± 1%
				LOS ± 100 m
				T ± 1 K
2.c	20.0 and 35.0	0.1	N₂O	CH₄ ± 20%
			background	H₂O ± 30%
			T	CO₂ ± 1%
				LOS ± 100 m
2.d	20.0 and 35.0	0.1	N₂O	H₂O ± 30%
			background	CO₂ ± 1%
			T	LOS ± 100 m
			CH₄
2.e	20.0 and 35.0	0.1	N₂O	CH₄ ± 20%
			background	H₂O ± 30%
				CO₂ ± 1%
2.f	20.0 and 35.0	0.1	N₂O	CH₄ ± 20%
			background	H₂O ± 30%
				CO₂ ± 1%
				T ± 1 K
2.g	20.0 and 35.0	0.1	N₂O	CH₄ ± 20%
			background	H₂O ± 30%
			T	CO₂ ± 1%

Tangent Altitude 35 km
∊ (%)	Δx (%)	Number
0.00	3.321	42
0.05	3.337	32
0.10	3.356	27
0.50	3.472	11
1.00	3.503	9
3.00	3.606	9
10.0	3.716	8

Tangent Altitude 35 km		Tangent Altitude 20 km
Microwindow (cm^-1)	Error (%)	Microwindow (cm^-1)	Error (%)
1260.050 – 1260.225	20.8	1260.000 – 1260.125	22.6
1260.250 – 1260.350	306.1	1260.150 – 1260.325	22.5
1260.525 – 1260.750	353.7	1260.400 – 1260.725	46.2
1260.800 – 1262.200	15.4	1260.875 – 1261.975	11.8
1262.425 – 1262.550	255.8	1262.000 – 1262.200	23.8
1262.575 – 1263.325	18.7	1262.225 – 1262.900	12.5
1263.500 – 1263.600	461.7	1262.925 – 1263.225	15.2
1263.725 – 1265.700	13.0	1263.425 – 1263.575	94.4
1265.725 – 1268.325	12.5	1263.600 – 1263.825	16.1
1268.350 – 1268.450	34.6	1263.850 – 1264.425	14.5
1268.475 – 1268.950	45.0	1264.450 – 1264.725	15.0
1268.975 – 1271.950	10.2	1264.750 – 1265.400	12.0
1271.975 – 1274.950	9.5	1265.425 – 1265.650	22.6
1274.975 – 1275.125	37.0	1265.775 – 1266.150	21.3
1275.150 – 1275.350	324.5	1266.175 – 1266.550	13.1
1275.375 – 1278.350	9.1	1266.600 – 1267.450	11.6
1278.375 – 1279.975	12.7	1267.500 – 1267.875	21.4
		1267.900 – 1268.325	31.9
		1268.450 – 1269.250	12.2
		1269.325 – 1270.150	10.7
		1270.200 – 1270.425	17.4
		1270.550 – 1271.050	14.9
		1271.100 – 1271.475	20.3
		1271.500 – 1271.700	688.6
		1271.725 – 1272.225	15.6
		1272.350 – 1272.825	12.2
		1272.875 – 1273.150	15.6
		1273.250 – 1273.700	12.6
		1273.750 – 1274.050	14.7
		1274.075 – 1274.175	37.3
		1274.200 – 1274.600	13.3
		1274.625 – 1274.925	16.2
		1274.950 – 1275.150	134.3
		1275.175 – 1275.325	53.4
		1275.525 – 1276.325	13.8
		1276.375 – 1276.750	15.1
		1276.775 – 1276.925	159.0
		1276.950 – 1277.225	19.9
		1277.250 – 1277.500	26.8
		1277.575 – 1278.075	14.5
		1278.125 – 1278.500	13.8
		1278.525 – 1278.625	22.2
		1278.650 – 1278.950	16.7
		1278.975 – 1279.400	14.8
		1279.425 – 1279.625	29.6
		1279.650 – 1279.825	23.1
		1279.850 – 1279.975	22.7

Sequential		Combinatorial
Microwindow (cm^-1)	Error (%)	Microwindow (cm^-1)	Error (%)
1263.475 – 1263.650	43.6	1260.750 – 1261.575	25.9
1263.675 – 1265.650	24.8	1263.475 – 1263.650	43.6
1265.675 – 1265.850	68.8	1265.675 – 1265.850	68.8
1267.950 – 1268.325	138.8	1265.875 – 1266.125	171.2
1268.575 – 1269.350	26.7	1266.375 – 1266.900	83.4
1269.675 – 1271.350	22.7	1267.950 – 1268.325	138.8
1271.875 – 1272.150	60.4	1268.575 – 1269.350	26.7
1275.300 – 1275.550	28.8	1271.375 – 1271.575	64.1
1278.575 – 1279.975	25.3	1271.625 – 1271.850	232.6
		1273.825 – 1274.450	78.7
		1278.575 – 1279.975	25.3
All selected microwindows	18.7	All selected microwindows	16.7

Case	z _tan (km)	∊ (%)	Fit Parameters	Uncertainties (1 σ)
1	20.0 and 35.0	Variable	N₂O	CH₄ ± 50%
2.a	20.0 and 35.0	0.1	N₂O	CH₄ ± 20%
				H₂O ± 30%
				CO₂ ± 1%
				LOS ± 100 m
				T ± 1 K
2.b	20.0 and 35.0	0.1	N₂O	CH₄ ± 20%
			background	H₂O ± 30%
				CO₂ ± 1%
				LOS ± 100 m
				T ± 1 K
2.c	20.0 and 35.0	0.1	N₂O	CH₄ ± 20%
			background	H₂O ± 30%
			T	CO₂ ± 1%
				LOS ± 100 m
2.d	20.0 and 35.0	0.1	N₂O	H₂O ± 30%
			background	CO₂ ± 1%
			T	LOS ± 100 m
			CH₄
2.e	20.0 and 35.0	0.1	N₂O	CH₄ ± 20%
			background	H₂O ± 30%
				CO₂ ± 1%
2.f	20.0 and 35.0	0.1	N₂O	CH₄ ± 20%
			background	H₂O ± 30%
				CO₂ ± 1%
				T ± 1 K
2.g	20.0 and 35.0	0.1	N₂O	CH₄ ± 20%
			background	H₂O ± 30%
			T	CO₂ ± 1%

Abstract

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Applied Optics