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7. AMOUNTS regression analysis model

General information about AMOUNTS (Adaptative MOdel for Unambiguous Trend Survey) can be found in Keckhut et al., 1995 and references therein. We used here AMOUNTS on SAOZ data corrected for above listed effects and monthly averaged. AMOUNTS is a data analysis with multiparametric adaptative model using least squares fitting. It includes Annual (AO) and semi-annual variation with sine functions, the QBO index (B. Naujokat), the NAO index: from (www.cru.uea.ac.uk, Tim Osborn Phil Jones), the temperature at 50h Pa: from ECMWF, ENSO index (ftp://ftp.ncep.noaa.gov/ , Diane Stokes and Dick Reynolds) and Solar activity: (F10.7 cm): http://www.drao.nrc.ca (F. Tapping). Results from time series are partly presented in Table 2 and in Figure 4. Instrumental changes are also evaluated using step function but they are not significant and then removed from the final analysis, indicating the quality when changing set ups of SAOZ instruments. Significant results ( 2s )are in bold characters. Contributions of AO, SAO, QBO, NAO, ENSO have been identified in the analysis. A significant first evaluation of the residual slope after correction of dominant effects can be provided for SAOZ longest series at Sodankyla, Tarawa and Dumont d'Urville. Significant SAO contribution in Arctic and Antarctic are due to the ozone hole at spring (larger amplitude in European than Siberian sector).

Table 2. Results of AMOUNTS on SAOZ series (see text)

Station	Series (Month)	AO (DU)	SAO (DU)	QBO (DU)	NAO (DU)	ENSO (DU)	Variance (DU)	Residual Slope (DU/year)	DSlope (DU/year) 2s
Zhigansk	85	76	4	-4	-2	-2.5	29	3.3	6.1
Sodankyla	119	51	10	-11	2	-1.7	20	2.8	2.7
OHP	91	34	4	-2	-3	0.2	14	-1.7	3.6
Tarawa	73	12	4	2	1	0.4	10	3.6	3.5
Kerguelen	49	38	4	-17	-1	-1.4	11	-0.4	5.8
Dumont	132	7	16	3	0	1.6	22	-3.6	2.2

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