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66 importTrajlocalfor example.Used for testing purposes on a local file system.DetailsValueThis function imports pre-calculated back trajectories using the HYSPLIT trajectory model (HybridSingle Particle Lagrangian Integrated Trajectory Model http://ready.arl.noaa.gov/HYSPLIT.php). Back trajectories provide some very useful information for air quality data analysis. However,while they are commonly calculated by researchers it is generally difficult for them to be calculatedon a routine basis and used easily. In addition, the availability of back trajectories over several yearscan be very useful, but again difficult to calculate.Trajectories are run at 3-hour intervals and stored in yearly files (see below). The trajectories arestarted at ground-level (10m) and propagated backwards in time.These trajectories have been calculated using the Global NOAA-NCEP/NCAR reanalysis dataarchives. The global data are on a latitude-longitude grid (2.5 degree). Note that there are manydifferent meteorological data sets that can be used to run HYSPLIT e.g. including ECMWF data.However, in order to make it practicable to run and store trajectories for many years and sites,the NOAA-NCEP/NCAR reanalysis data is most useful. In addition, these archives are availablefor use widely, which is not the case for many other data sets e.g. ECMWF. HYSPLITcalculated trajectories based on archive data may be distributed without permission (see http://ready.arl.noaa.gov/HYSPLIT_agreement.php). For those wanting, for example, to considerhigher resolution meteorological data sets it may be better to run the trajectories separately.We are extremely grateful to NOAA for making HYSPLIT available to produce back trajectories inan open way. We ask that you cite HYSPLIT if used in published work.The files consist of the following information:date This is the arrival point time and is repeated the number of times equal to the length of theback trajectory — typically 96 hours (except early on in the file). It is this field that should beused to link with air quality data. See example below.receptor Receptor number, currently only 1.year The yearmonth Month 1-12day Day of the month 1-31hour Hour of the day 0-23 GMThour.inc Number of hours back in time 0 to -96.lat Latitude in decimal format.lon Longitude in decimal format.height Height of trajectory (m).pressure Pressure of trajectory (kPa).Returns a data frame with pre-calculated back trajectories.
kernelExceed 67NoteThe trajectories were run using the February 2011 HYSPLIT model. The function is primarilywritten to investigate a single site at a time for a single year. The trajectory files are quite large andcare should be exercised when importing several years and/or sites.Author(s)See AlsoDavid CarslawtrajPlot, importAURN, importKCL,importADMS, importSAQNExamples## import trajectory data for London in 2009## Not run: mytraj
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Package ‘openair’September 19,
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4 aqStatsused. All functions check
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6 calcFno2Examples## Statistics for
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8 calcPercentilecalcPercentileCalcu
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10 calendarPlotannotatestatisticcol
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14 conditionalEvalon to cutData to
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Page 18 and 19: 18 corPlot## make some dummy predic
Page 20 and 21: 20 cutDataSee Alsotaylor.diagram fr
Page 22 and 23: 22 drawOpenKeyof this option is to
Page 24 and 25: 24 drawOpenKeyvpView port to be use
Page 26 and 27: 26 GoogleMapsPlotcex.range = c(2, 1
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Page 32 and 33: 32 importADMSdrop.input.datesOption
Page 34 and 35: 34 importAURNimportAURNAURN data im
Page 36 and 37: 36 importAURN• BIR2 Birmingham Ea
Page 38 and 39: 38 importAURN• ISL London Islingt
Page 40 and 41: 40 importAURNValue• WBRO Sandwell
Page 42 and 43: 42 importAURNCsvis.siteHeader name
Page 44 and 45: 44 importKCL## diurnal.error(so2.15
Page 46 and 47: 46 importKCLAll PM10 statistics on
Page 48 and 49: 48 importKCL• BY1 | Bromley - Ren
Page 50 and 51: 50 importKCL• GL1 | Glasgow Centr
Page 52 and 53: 52 importKCL• LB4 | Lambeth - Bri
Page 54 and 55: 54 importKCL• RG4 | Reigate and B
Page 56 and 57: 56 importKCL• TE0 | Tendring St O
Page 58 and 59: 58 importKCLValue• ZT4 | Tunbridg
Page 60 and 61: 60 importSAQNExamples## import AQ d
Page 62 and 63: 62 importSAQN• | ABD8 | Aberdeen
Page 64 and 65: 64 importSAQN• | PAI3 | Paisley G
Page 68 and 69: 68 kernelExceedpollutant Mandatory.
Page 70 and 71: 70 linearRelationlinearRelationLine
Page 72 and 73: 72 modStatsSee AlsocalcFno2Examples
Page 74 and 75: 74 mydataReferencesWillmott, C.J.,
Page 76 and 77: 76 openair.class## S3 method for cl
Page 78 and 79: 78 openColoursnNote that because of
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Page 82 and 83: 82 polarAnnulusnormalise = FALSE, k
Page 84 and 85: 84 polarAnnuluskey.footerkey.positi
Page 86 and 87: 86 polarClustercolsDetailsangle.sca
Page 88 and 89: 88 polarFreq## how many points are
Page 90 and 91: 90 polarFreqborder.colThe colour of
Page 92 and 93: 92 polarPlotDescriptionFunction for
Page 94 and 95: 94 polarPlotupperangle.scaleunitsso
Page 96 and 97: 96 polarPlotValueAs well as generat
Page 98 and 99: 98 rollingMeanExamples#example 1##s
Page 100 and 101: 100 scatterPlotavg.timedata.threshs
Page 102 and 103: 102 scatterPlot... Other graphical
Page 104 and 105: 104 selectByDate## multiple types a
Page 106 and 107: 106 selectRunningselectRunningFunct
Page 108 and 109: 108 smoothTrendavg.timepercentileda
Page 110 and 111: 110 splitByDate# several pollutants
Page 112 and 113: 112 summaryPlotpollutantperiodbreak
Page 114 and 115: 114 TaylorDiagramUsageTaylorDiagram
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116 TaylorDiagramdaylight/nighttime
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118 TheilSen## Not run:## all model
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120 TheilSenDetailsdate.breaks- 1)
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122 timeAverageTheilSen(mydata, pol
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124 timePlotAuthor(s)David CarslawS
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126 timePlottypecolsplot.typekeylog
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128 timePlotAuthor(s)David CarslawS
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130 timeVariationtypegroupdifferenc
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132 timeVariationAuthor(s)David Car
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134 trajClustertypecolssplit.aftert
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136 trajLevelsmoothstatisticpercent
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138 trendLevelkc1 -20 & lon 40 & l
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140 trendLeveldrop.unused.typesHide
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142 windRosews.intThe Wind speed in
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144 windRoseValueNoteset of wind sp
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Index∗Topic datasetsmydata, 74∗
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