JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 90, NO. D5, PAGES 7967-7976, AUGUST 20, 1985 A Global Climatology of Total Ozone from the Nimbus 7 Total Ozone Mapping Spectrometer KENNETH P. BOWMAN AND ARLIN J. KRUEGER Laboratory for Atmospheres, NASA GoddardSpaceFlight Center,Greenbelt, Maryland A globalclimatology of totalcolumnozonehasbeencomputed from4 yearsof dailyobservations by the total ozonemappingspectrometer aboardthe Nimbus7 polar-orbitingsatellite.Observations were madeat localnoon;no observations are availablein polarregionsduringthe polarnight.The orbital data havebeenareaaveraged onto a regular5ø by 5ø latitude-longitude grid.The globalcoverage is more than 90% completeduringthe last 3 observingyears(October1979to September1982)and approximately 70% complete duringthefirstyear(October1978to September 1979).Globalmapsof the temporalmeanand rms varianceand the amplitudeand phaseof the annualand semiannualharmonics are presented. Similaranalysesof the zonalmeanvaluesare givenalongwith a time-latitudesectionof thezonal-mean totalozone.Thisclimatology shouldbe usefulbothfor validatingnumericalmodelsand for inspiringtheoreticalanalyses. INTRODUCTION Becauseozone strongly absorbssolar ultraviolet (UV) radiation through photodissociation, it provides an internal sourceof heat in the middle and upper atmosphereand forms a crucial link between atmosphericradiation, chemistry,and dynamics. For this reason alone the distribution of ozone in the atmosphereis of interest,but ozone servesa secondimportant function: it protects living things at the earth's surface from the harmful effects of UV radiation. In recent years, concernhas arisenthat mankind may be affectingatmospheric ozone by releasingphotochemicallyactive substances,such as fluorocarbonsor nitrous oxides,into the atmosphere.Because of the possiblehealth effects,this concernhas provided a very practical reason for studying the chemical and dynamical processescontrolling ozone. Observationsof the ozone distribution in the atmosphere are needed for several purposes.The observed ozone distribution is used as an external parameter in some dynamical and radiative models, and in the lower stratosphere,where chemistryis lessimportant than transport, ozone may serveas a tracer of atmosphericmotions. Model studiesof ozone itself require thorough and accurate observations of ozone and other chemically active speciesto verify that the models can reproduce the existing distributions of those constituents.Experiments may then be performed with the models to determine the sensitivity of ozone to various perturbations. A review of the current understandingof ozone transport and the annual cycleof ozone can be found in Rood [1983]. Ozone has been observedfrom the ground for many years with Dobson spectrophotometers,which measure the differential absorption of solar UV radiation at different wavelengths by the ozone [Dobson, 1931]. However, Dobson instrumentsare concentratedin northern hemisphereland areas and provide poor global coverage.In recent years, many new instruments have been developed to measure ozone both in situ and remotely. The ability to provide global coverageand the advantagesof using a singleinstrumenthave led to development of severalsatellite-bornedevicesfor measuringozone. Hilsenrath et al. [1979], Hilsenrath and Schlesinger[1981], and Tolson [1981] have analyzeddata from the backscattered ultraviolet (BUV) instrumenton Nimbus 4. Becausethe BUV was a nadir viewer(nonscanner), samplingwas sufficientonly to determine monthly and zonal means. The BUV data also have many hiatuses.Nimbus 4 also carried an infrared interferometric spectrometer(IRIS), from which temperatureand total ozone in the stratospherecould be estimated [Prabhakara et al., 1976]. Use of infrared wavelengthsallows ozone retrievals at night, unlike the backscattered ultraviolet method,but the inversionof IR radiancedata is considerably more difficult than the BUV measurements. The Nimbus 7 satellite carries two BUV instruments: the solar backscatteredultravioletspectrometer(SBUV), a nadir viewer,and the total ozonemappingspectrometer(TOMS), a scanner.Vertical profiles of ozone and total column amounts have been obtained from the SBUV [Nagatani and Miller, 1984; McPeters et al., 1984]. The TOMS instrument measures only total ozonebut provideshigh spatialresolution. This paper presentsa global climatology of total ozone based on the 4 years of TOMS measurementsprocessedto date. The global coverageand samplingfrequencyof this data is superiorto anythingcurrentlyavailable. METHODS The TOMS Data Set Nimbus 7 was launched in October 1978 in a near-polar, sun-synchronousorbit and makes approximately 13.8 orbits per day. TOMS observations are madeon the ascendingnode of the orbit at ground timesnear local noon. The TOMS scansperpendicularto the orbit track to provide measurementsover the entire sunlit portion of the earth once per day. Becausethe instrumentmeasuresbackscattered solar radiation, no measurementsare available in regions of polar night. The diameterof the field of view rangesfrom 50 km at nadir to 250 km in the farthest off-nadir scan tracks. Becausethe length of the scan across the orbital track is • 3000 km, scan swaths from different orbits overlap in middle and high latitudes, allowing multiple measurements during 1 day. The spectrometer measures the intensities o• directand Copyright 1985by the AmericanGeophysicalUnion. backscattered solar ultraviolet radiation in six wavelength channels.Two channelsfree of ozone absorption are used to determine the effective background albedo. The remaining Paper number 5D0365. 0148-0227/85/005D-0365505.00 7967 7968 BOWMANAND KRUEGER'GLOBALCLIMATOLOGY OFTOTALOZONE DAILY GLOBAL COVERAGE 100- 8O 20 0 0 1 i i 2 3 4 TIME (YEARS FROM I OCT 78) Fig. 1. Percentage of thesurface of theearth(whitearea)for whichdatais availablefor eachdayin the4-yearobserving period. ozone measurementshas shown the precision of the TOMS retrievals to be better than 2% [Bhartia et al., 1984]. On the average the TOMS measurementsare 6.6% smaller than Dobson spectrophotometermeasurements.Most of the bias appears to be causedby differencesin the ozone absorption coefficientsused to calculate the ozone amounts. Processing and calibration differencesexist between data years but are four channelsare usedin pairs to provide two estimatesof the total column ozoneby the differentialabsorptionmethod.The algorithms used to compute the total ozone are describedin Fleig et al. [1982] and addenda. For this analysisof the large-scalefeaturesthe ozone data were area averagedonto a regular 5ø latitude by 5ø longitude grid from higher-resolutiongridded data [Huang and Lee, 1983]. For each day in the observingperiod, each 5ø by 5ø grid cell was assignedan ozone value fl and a weight w. All ozone values are in Dobson units (milliatmospherecentimeters). The weight is the area within each cell for which measurementsare available on that day. If there were no good less than 1%. The observingyear for this study runs from October 1 to September30. Four years of griddeddata are presentlyavailable (October 1978 through September1982).The fraction of the globe for which measurementsare available on each day measurements, w was set to zero, and fl was left undefined. in the 4-year period is shown in Figure 1. Only one day of Ozone valueswere not interpolatedin either spaceor time. All data is available during October 1978. From October 31, of the available data has been used in the analysesshown in 1978, through June 12, 1979, the TOMS was operated apthe following sections. proximately 5 daysout of 6. During June 1979, the instrument Intercomparison of the TOMS data with ground-based was inoperative for 6 consecutivedays (June 13-18). After AVAILABILITY OF DAILY OBSERVATIONS (%) 90N • I i I i i i I I I I 90N 50,= 60 -I - 3O -0 - 3O 6O 6O 50 90S 180W I • • I I • i i i 150 120 90 60 30 0 30 60 90 90s 120 150 180E Fig. 2. Distributionover the earth of the percentage of daily observations availablefrom the 4-yearobservingperiod. Note the lossof data in high latitudesas a resultof the polar night and the regionof low coverageover the international dateline. BOWMAN ANDKRUEGER: GLOBAL CLIMATOLOGY OFTOTAL OZONE 7969 TIME-MEAN TOTAL OZONE (DU) TOMS 90N ß I I I I I I I I 90N 60 6O 30 3O 0 0 30 30 60 60 90S 180W I i i I I I i I I ! I 150 120 90 60 30 0 30 60 90 120 150 90S 180E GROUNDBASED 80N 80N 60 60 3O 30 3O 30 6O 60 80S 80S 180W 150 120 I I I 90 30 60 I 0 30 60 90 120 150 180E Fig.3. TOMStime-mean totalozone f]0computed fromequation (2)forthe4-year observing period (Dobson units), and the time-mean total ozonederivedby London andOltmans [1978/1979] fromground-based Dobsonand M83 measurements for the periodJuly 1957to June1975. June19,whentheinstrument beganto functionagain,it was dingthe data onto daily mapsby wholeorbits.The highest operatedcontinuously. Therefore fromJuly1979to theendof data availabilityis in middle latitudes,where multiple the datasetthe datacoverage is veryhigh.The semiannual measurements during 1 day are possibleand no polar night periodicity apparent in Figure1 afterthefirstobserving year occurs. is causedby the lossof data duringthe alternating polar nightsin the two hemispheres. Thespatialcoverage of thedatafortheentire4-yearperiod is shownin Figure2. The major systematic featuresare the decrease in dataavailability towardthepolescaused by the polar nightsand the oval regionof lowerdata availability straddling thedateline. Thisovalfeatureis an artifactof grid- Statistical methods Area-weighted zonalmeansI-D] and globalmeansf) were computedby usingthe standardformulafor weightedmeans' [fl]j = Z wuflu/• wu i i (la) 7970 BOWMANAND KRUEGER'GLOBALCLIMATOLOGY OFTOTALOZONE RMS DEVIATION OF DAILY OBSERVATIONS (DU) •3N I I I I I I I I I I I 30 30 0 0 <10 <10 30 30 90S 180W 1• i i i I • I I I I i 120 90 60 30 0 30 60 90 120 1• 90S 180E Fig. 4. Rootmeansquare deviations ofthedailyvalues oftotalozonefromthetimemean(Dobson units). and ji ji wherei is the longitudeindexandj is the latitudeindex. The time mean ozone amount and the amplitudes and phasesof periodiccomponents of the ozonevariationswere data are missing.This assumption is valid outsideof the polar regions, wheregenerallylessthan 10% of thedataaremissing. In polarregionsthesystematic lossof datain thewinterprobably producesmuchlargererrorsthan thosecausedby sampling,so error barshavebeenomittedpolewardof 70ø latitude. RESULTS estimated by assuming that thetimedependence of fi couldbe representedby Global Fields L fl(tn)= flo + • fie COS (aytn-- q•e)+ sn (2) g'=l where n is time index, •' is the harmonic number, roe-- 2n•'/1 year,and Snis the residualerror.The residualerrorsare as- A globalmap of the time-meantotal ozonerio is plottedin Figure3. For comparison the time-meantotal ozoneasinterpretedby London andOltmans [1978/1979]fromDobsonand M83 observations is reproducedin Figure 3. The TOMS analysisshowsa numberof featuresthat differ fromground-based analyses of total ozone.Thesedifferences amplitudes fit andphasesq>twerecalculated with a weighted mayhavea numberof sources: (1) errorsin eithertheTOMS least squaresmethod by minimizingthe total weighted instrumentor retrieval algorithm or in the Dobson/M83 sumed to have zero mean and to be uncorrelated in time. The squarederror measurements, (2) subjective errorsin the handanalysisof the ground-based measurements, (3) sampling errors,or (4) a real changein the ozonecontentbetween the observing periodof measurements (1957-1975)and that of the This curve-fittingapproachallows for the irregular distri- the ground-based 1982).Because the results bution of missingdata; as a resultthe weightedcosinebasis TOMS (October1978to September EL2 = E WnSn2/EWn n n functionsare not orthogonalover the domain tn. Therefore, of Bhartiaet al. [1984] indicatesmallrelativeerrorsbetween addingnew harmonics changes the amplitudeand phaseof the TOMS and the Dobson/M83 measurements,source 1 the other componentsslightly.Harmonicshigher than the should not be the cause of the differencesseen in Figure 3. errorsin the samedirectionmay remainin both semiannualwere found to contributevery little to the total Systematic data sets. Source 2 is verydifficultto judgeand is closelytied variance,so resultspresentedare for L--- 2. The contribution of higherharmonicswill be discussed below.Outsidethe trop- to the poor spatialsamplingof the Dobson/M83network (source3). Spatialand temporalsamplingerrors(source3) shouldnot be a problemwith the TOMS. The possibilityof a real changein the ozonecontentof the atmosphere (source4) by analysis of theground-based obsersemiannualharmonics.Anomaliespersistlongerin the tropics, canonlybedetermined the entiretimeperiod1957-1982. In viewof which renders the assumptionthat the residuals are un- vationsspanning ics the autocorrelation time of the residuals is much shorter than the semiannual period.Because thesetimescalesare well separated, (2) shouldbe valid for estimatingthe annualand correlated less realistic,but the annual and semiannualharmonicsstill appearto be well defined. the known difficultiesof intercalibration and spatial coverage with the Dobson and M83 networks, the TOMS instrument Confidenceintervalsfor f•o, f• and •b• can be calculated shouldprovidea muchbetter estimateof the globaldistriwith standardformulas[Anderson,1971] by assumingthat no bution of total ozone. BOWMAN ANDKRUEGER: GLOBALCLIMATOLOGY OFTOTALOZONE ANNUAL HARMONIC AMPLITUDE (DU) 7971 SEMIANNUAL HARMONIC AMPLITUDE(DU) 90N 90N 0 90S 180W --T-150 120 90 60 •OS 30 0 30 60 90 120 150 0 90S 180E I 180W 150 120 90 60 30 Fig. 5a 30 30 30 30 30 30 I 90S I 30 60 90 120 150180E I 90S 180W 1• I i 120 I, I I I I i 6•) 3OI 0I 3O 90 Fig. 5b I I I I I 90 120 90S 150 180E / I , I I I 9•) 120 60 90N 150 90S 180E Fig. 6b FRACTION OF THE VARIANCEEXPLAINED(%) 90N 60 PHASE (MONTHS) 90N. 180W 150 120 9•3 6•) 310 0 30 Fig. 6a PHASE (MONTHS) 90S 0 I I I I FRACTIONOF THEVARIANCEEXPLAINED (%) I 90N 30 90NI ' ' ' ' ' ' ' I • ' ' ' ' IsON I I 90S 3O 0 0 0 30 30 30 90S i 180W 150 i 120 i 6•) i 90 30 i 0 I 6]3 30 90 120 150 180E 90S 90S [ Fig. 5c Fig. 6c Fig. 5. (a) Amplitude f)• (Dobsonunits),(b) phase•b•(months Fig. 6. (a) Amplitude•: (Dobsonunits),(b) phase&: (months afterJanuary 1),and(c)fraction ofthetotalvariance explained bythe afterJanuary1),and(c)fractionof thetotalvarianceexplained by the annual harmonic(%). semiannualharmonic(%). 7972 BOWMAN AND KRUEGER: GLOBAL CLIMATOLOGY OF TOTAL OZONE 90N I zonal mean values.Onceagainthe largeridgesover the southern hemisphere oceans seen in the London and Oltrnans [1978/1979] map are not presentin the TOMS map. The rms deviationof the availabledaily measurements from the time mean is plotted in Figure 4. The varianceis minimal just south of the equator and increasespoleward in both hemispheres.The total variance is consistentlylarger in middle and high latitudes of the northern hemispherethan in 3o the southern. Because the confidence intervals for the time mean and the harmonics are proportional to the variance, whichis nearlyzonallysymmetric,they have not beenplotted. 30 The 99% confidence interval for the time mean increases from about + 0.4 DU (Dobson units) near the equator to + 2.5 DU at 70ø latitude. Confidenceintervals for the harmonic amplitudes are +0.6 DU near the equator and +4 DU at 70ø. Confidenceintervalsfor the phasesof the harmonicsare small 90S I I I I JAN 1 APR 1 JUL 1 OCT 1 JAN 1 (• 10 days),exceptin a few regionswhere the amplitudeof the harmonicsnearly vanishes(seebelow). Fig. 7. Time-latitude section of the zonal-mean totalozone (Dobsonunits).The dailydatahavebeensmoothed by computing The amplitude, phase, and fraction of the variance ex10-day means. plainedby the annual harmonicf•x are plotted in Figure 5. In the northern hemisphere,f•x increasesnearly uniformly away The TOMS analysisis more nearly zonally symmetricin from the equator. There are two regions with large annual middle latitudes than are the analysesof Londonand Oltrnans variations over the Sea of Okhotsk and the Canadian Arctic. [1978/1979] or Wilcox et al. [1977, Figure 1]. The ridgesover Both are located coincident with maxima in the time mean the oceansand central Asia and the correspondingtroughs ozone. The minimum of f• is located at about 10øS.The over the continents are diminished in the TOMS map. The maximum of f• in the southernhemisphereis also co-located TOMS map showsdistinct drops in total ozone over moun- with the maximum in f•o. There is a very low minimum in f• tains, reflectingthe decreasein the atmosphericcolumn. The straddlingthe Antarctic peninsula. The annual harmonic in the northern hemispherereachesa three analyseshave a similar maximum over the Canadian Arctic. The distinct ozone maximum over Europe observed maximumin late winter to early spring.The earliestmaximum from the groundis not seenin the TOMS analyses.The Asian occurs where the amplitude is largest-•over the Sea of Okmaximum is presentin all three analysesbut differsin position hotsk. The phase of the annual harmonic increasessouthward across the equator, so that maxima in the southern hemiand strength. The southern hemisphereozone distribution is dominated spherealso occurin winter to early spring.Phaseis difficultto by a large wave number 1 near 60øS,which is also the latitude determinenear the poles,but there appear to be large differ60 of the maximum of the zonal mean. There is a minimum over ences between the annual harmonics in the Arctic and Antarc- tic regions.The annual harmonic explainsa large fraction of but values south of • 70øS are unreliable because of the low the varianceover much of the earth, especiallyin the northern solar zenith anglesand the loss of data during the southern hemispheretropics. hemispherewinter. This will be discussedfurther below for the The amplitude, phase, and fraction of the variance exthe highest part of the Antarctic continent, not over the pole, 450 400 - 350- 300- 250 - 200 90S I i I I i 60 30 0 30 60 90N LATITUDE Fig. 8. Time-meanzonal-meantotal ozone[fl]o (solidline) and [Q]o + the rms deviationsfrom the time-meanzonal means(dashedlines)(Dobson units). BOWMAN AND KRUEGER: GLOBAL CLIMATOLOGY OF TOTAL OZONE 15o 150 100 87'5øN '•• 0 • , "'• ' 100 50 7973 50 • 150 0 ',,875øS -50 -100 -150 50 ( I i ,oo 50 0 -50 0 -100 57.5øN. -100 -150 1O0 '•'7!• "'!""" .••,.." ... 50 0 50 -] ,. ;.• '• -50 0j . ..,.• ,%.._6 .,5 ø " :'"'' -50 :' 100 50 • 47.5øN 100 ....... ' ,,._57 5øS ' " • 0 -50 ,""-' ' 100 ._.__•.• '" '"'" - • • 50 -50 0 -100 ø3 -50 o , 50 -50 Io 3z.os 25 50 i I 7'5ø S 27.5øS 0 0 • ,?'5ø.•, ,. , 0 -25 25 0 -25 JAN1 APR1 JU 1 OCT1 JAN1 25 •"•,•.,-...,•,L • • ...,..,;_.,._, -•, JAN 1 .,........ • APR 1 0 ,.•,,,,.•_.,.• JU•L 1 -25 . • OCT 1 JAN 1 Fig. 9. Climatological dailyzonal-meantotal ozonefor selected latitudesand the fit to the data with two harmonics. The time mean has been removed. degreessouth of the equator, and the minimum in the varianceoccursslightlysouthof that. Hemisphericdifferences,especiallythose in high latitudes, can be seenmore clearlyin Figure 9, in which the climatological daily ozonevaluesare plotted for selectedlatitudes.Superimposed are the fits achievedat each latitude with two harmonics. Time means have been removed. In northern high latitudes the ozone peaks in late winter to early spring and wind line. The total ozone shows no evidence for a maximum then declinessteadilythrough the sunlit portion of the year. in the amplitude of the semiannualharmonic in the tropics, Near the south pole the ozoneremainslow at the equinoxand althoughsucha featurecouldoccurlocallyin the vertical.The risesabruptly about 1.5 monthslater. It then falls through the maximum in the fraction of the varianceexplainedover Asia last half of the sunlit period. This springtimerise was identifrom appearsto be associatedwith a real maximum in the ampli- fied by Dobson[1966] in ground-basedmeasurements plainedby the semiannualharmonicare shownin Figure 6. The amplitudef12is flat throughoutthe tropicsand generally increasestoward the poles.At high latitudes the semiannual harmonic becomes very unreliable because of the large amount of missingdata and is probably largely an artifact of the analysismethod. Hopkins [1975] has suggestedthat the semiannualharmonic in the tropics results from the absorption of equatorward propagatingplanetary wavesat the zero tude of the semiannual harmonic, but the maxima over the Indian Oceanstretchingtoward the westand over the Weddel Sea appear to be causedby the absenceof a strong annual harmonic(Figure 5). Zonal Means The annual evolution of the zonal mean ozone Ifil is shown in Figure 7. The field has been smoothedslightly by com- the Antarctic. The fewnighttimemeasurements availablefrom the Antarctic indicate a slight secondarypeak in May or June [Dobson, 1966; Chubachi,1984]. However, the exaggeratedpeak in the fitted curvesseenduring the polar night in the southernhemisphereis causedby the large gap in the data and the abrupt springtimerise.The annualcyclein the northernhemisphere is much more easilyfit by two harmonics. The structures of the annual and semiannual harmonics of puting 10-day meansfrom the daily zonal means.This cross the zonal mean ozone and the 99% confidence intervals are sectionis quite similar to that givenin Diitsch[1974] and the BUV data from Nimbus 4 analyzedby Hilsenrathet al. [1979] shownin Figure 10. The percentageof the total varianceexand Tolson[1981]. plainedby eachharmonicis shownin Table 1 for the firstfour At eachlatitude the daily, zonal mean valueswere expanded harmonics.Outsideof the south polar region,two harmonics in temporalharmonicsby using(2). The time mean Ifil0 and seemto capturethe annualcycleof the zonal mean ozonevery the rms deviationsof the daily valuesaround the time mean well. The spatial filtering of smaller scalefeaturesby zonal are shownin Figure 8. The 99% confidenceintervalsare less averaginghas also removed much of the higher-frequency than 1% of the time-mean zonal means at all latitudes. The variability associatedwith planetary- and synoptic-scale confidencelimits have beenomitted from Figure 8 becausethe waves. Therefore the annual and semiannual harmonics exprobablesystematicuncertaintiesare larger.The hemispheric plain a largerfractionof the varianceof the zonal meansthan asymmetriesnotablein Figure 7 are also apparentin the time of the two-dimensionalgridded data. The difference in the structure of the annual harmonic in means. Both the means and the variances are larger in the especiallypolewardof 50ø, is certainly northern hemisphere.The tropical minimum occurs several the two hemispheres, ANNUAL AND SEMIANNUAL HARMONICS THE ZONAL-MEAN TOTAL OZONE OF AMPLITUDE 120 100 - 80- 60- ••SEMIANNUAL 40- 20- 0 90S ! I 60 30 0 30 60 90N LATITUDE Fig. 10a PHASE JAN 1 OCT 1 ANNUAL ß',- •'- --SEMIANNUAL APR1 JAN 1 90S 6O I I 30 0 30 6O 90N LATITUDE Fig. 106 FRACTION OF THE VARIANCE EXPLAINED 100 ANNUAL + SE 80- 60- ,ANNUAL Z 40- 20 - 0 90S I I I I I 60 30 0 30 60 90N LATITUDE Fig. 10c Fig. 10. (a) Amplitude of the annual and semiannualharmonics[Q]x and [Q]2; (b) phaseof the annual and semiannual harmonics[•b]x and [•b]2' and (c) fraction of the total variance of the zonal means explainedby the annual harmonic and the sum of the annual and semiannual harmonics. 7974 BOWMAN AND KRUEGER: GLOBAL CLIMATOLOGY OF TOTAL OZONE real, as can be seenclearly in Figure 7. The harmonic amplitudesand phasesfrom TOMS resultsagreequite well with the Nimbus 4 BUV resultsof Hilsenrath et al. [1979] and Tolson [1981]. Together the annual and semiannual harmonics explain between 50% and 95% of the variance of the zonal means.The third harmonic contributessubstantiallyonly in high southern latitudes, where the sudden springtime rise would produce a broad spectrum. The fourth harmonic is essentiallynegligibleeverywhere.The lowest explained variance is found in the tropics,where the total varianceis small, the annual and semiannual cycles are weak, and a contribution to the variancefrom the quasibiennialoscillationcould be expected. Global Means Global meansare biasedby the absenceof measurementsin the polar night, where ozonevaluesaverageabout 10% higher than the global mean. Since the missing area comprises,at most, 10% of the globe, the estimates of the global mean 7975 TABLE 2. Time-Mean and Annual and Semiannual Harmonics of the Global-Mean Harmonic 0 1 2 Total Ozone Amplitude, Phase, Dobsonunits monthsafterJanuary1 288.1 4.7 3.9 -- 4.2 -- 5.2 DISCUSSION The TOMS instrumenthas provided a valuable addition to our knowledgeof the distributionof ozone in the atmosphere and its annual cycle.Observationscontinue to be collectedat the presenttime, and further analysisshould improve our understandingof the variability of ozone on both short (daily to weekly)and multiyear time scales.The TOMS instrumentalso resolvesfeaturesat spatial scalesmuch smaller than is possible with SBUV instruments, both the one on Nimbus 7 and those planned for the NOAA operational satellites. This should values in Table 2 should be on the order of 1% low. Confiallow more detailed study of transport of ozone by eddies in dence intervals are not included becauseof the systematic the lower stratosphere and an evaluation of the errors in nature of the missingdata. The harmonicsare dominated by SBUV resultscausedby the poorer spatial and temporal samthe larger amplitude of the variations in the northern hemi- pling by the SBUV instrument.The latter questionis certainly sphere.As a result the maximum of the global mean ozone important for long-term trend monitoring with the SBUV. Sufficient measurements have now been collected to reduce occurs •, 1 month after the vernal equinox, with a smaller maximum near the autumnal equinox. the sampling errors of the time mean and of the annual and semiannual harmonics caused by short time-scale variability to lessthan the accuracyof the instrument.Outside the polar TABLE 1. PercentageVariance Explained by the Harmonics of the regionsthe structureof the annual and semiannualharmonics Zonal Means is well determined.Becausethe large-scaleand low-frequency Harmonic features of the ozone are so well describedby the annual and semiannualharmonics,the ability of numerical models to reLatitude 1 2 3 4 produce this behavior could be a good test of the models' 87.5 82.5 77.5 72.5 67.5 62.5 57.5 52.5 47.5 42.5 37.5 32.5 27.5 22.5 17.5 12.5 7.5 2.5 -2.5 -7.5 -12.5 -17.5 -22.5 -27.5 -32.5 -37.5 -42.5 -47.5 -52.5 -57.5 -62.5 -67.5 -72.5 -77.5 -82.5 -87.5 90.0 92.6 94.9 95.2 95.2 94.4 94.3 94.0 94.0 93.8 92.2 87.1 80.3 78.8 80.3 85.0 83.5 62.5 46.8 51.5 62.2 62.0 65.4 73.2 82.3 87.4 89.4 87.8 83.8 76.3 59.3 46.1 43.6 46.7 48.3 48.0 0.7 0.8 0.7 1.3 1.5 1.4 1.2 1.4 1.5 1.7 2.0 2.1 3.1 3.9 3.4 2.6 2.2 4.0 6.8 14.0 9.5 5.9 6.3 4.4 1.5 0.4 0.2 0.9 3.1 7.6 18.6 25.9 23.5 19.7 18.0 15.2 0.4 0.3 0.1 0.1 0.0 0.0 0.1 0.4 0.5 0.8 1.1 1.2 0.8 0.4 0.4 0.6 0.7 0.7 0.6 0.4 0.2 0.0 0.0 0.0 0.2 0.8 1.3 1.5 1.6 3.3 7.4 8.8 9.1 8.6 7.0 6.1 0.2 0.1 0.2 0.0 0.0 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.2 0.3 0.3 0.3 0.1 0.1 0.0 0.0 0.1 0.0 0.1 0.4 0.9 1.4 1.9 0.3 0.2 0.0 1.7 -0.4 accuracy. 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