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| hailfinder {bnlearn} | R Documentation | 
The HailFinder weather forecast system (synthetic) data set
Description
Hailfinder is a Bayesian network designed to forecast severe summer hail in northeastern Colorado.
Usage
data(hailfinder)
            Format
The hailfinder data set contains the following 56 variables:
- 
                
N07muVerMo(10.7mu vertical motion): a four-level factor with levelsStrongUp,WeakUp,NeutralandDown. - 
                
SubjVertMo(subjective judgment of vertical motion): a four-level factor with levelsStrongUp,WeakUp,NeutralandDown. - 
                
QGVertMotion(quasigeostrophic vertical motion): a four-level factor with levelsStrongUp,WeakUp,NeutralandDown. - 
                
CombVerMo(combined vertical motion): a four-level factor with levelsStrongUp,WeakUp,NeutralandDown. - 
                
AreaMesoALS(area of meso-alpha): a four-level factor with levelsStrongUp,WeakUp,NeutralandDown. - 
                
SatContMoist(satellite contribution to moisture): a four-level factor with levelsVeryWet,Wet,NeutralandDry. - 
                
RaoContMoist(reading at the forecast center for moisture): a four-level factor with levelsVeryWet,Wet,NeutralandDry. - 
                
CombMoisture(combined moisture): a four-level factor with levelsVeryWet,Wet,NeutralandDry. - 
                
AreaMoDryAir(area of moisture and adry air): a four-level factor with levelsVeryWet,Wet,NeutralandDry. - 
                
VISCloudCov(visible cloud cover): a three-level factor with levelsCloudy,PCandClear. - 
                
IRCloudCover(infrared cloud cover): a three-level factor with levelsCloudy,PCandClear. - 
                
CombClouds(combined cloud cover): a three-level factor with levelsCloudy,PCandClear. - 
                
CldShadeOth(cloud shading, other): a three-level factor with levelsCloudy,PCandClear. - 
                
AMInstabMt(AM instability in the mountains): a three-level factor with levelsNone,WeakandStrong. - 
                
InsInMt(instability in the mountains): a three-level factor with levelsNone,WeakandStrong. - 
                
WndHodograph(wind hodograph): a four-level factor with levelsDCVZFavor,StrongWest,WesterlyandOther. - 
                
OutflowFrMt(outflow from mountains): a three-level factor with levelsNone,WeakandStrong. - 
                
MorningBound(morning boundaries): a three-level factor with levelsNone,WeakandStrong. - 
                
Boundaries(boundaries): a three-level factor with levelsNone,WeakandStrong. - 
                
CldShadeConv(cloud shading, convection): a three-level factor with levelsNone,SomeandMarked. - 
                
CompPlFcst(composite plains forecast): a three-level factor with levelsIncCapDecIns,LittleChangeandDecCapIncIns. - 
                
CapChange(capping change): a three-level factor with levelsDecreasing,LittleChangeandIncreasing. - 
                
LoLevMoistAd(low-level moisture advection): a four-level factor with levelsStrongPos,WeakPos,NeutralandNegative. - 
                
InsChange(instability change): three-level factor with levelsDecreasing,LittleChangeandIncreasing. - 
                
MountainFcst(mountains (region 1) forecast): a three-level factor with levelsXNIL,SIGandSVR. - 
                
Date(date): a six-level factor with levelsMay15_Jun14,Jun15_Jul1,Jul2_Jul15,Jul16_Aug10,Aug11_Aug20andAug20_Sep15. - 
                
Scenario(scenario): an eleven-level factor with levelsA,B,C,D,E,F,G,H,I,JandK. - 
                
ScenRelAMCIN(scenario relevant to AM convective inhibition): a two-level factor with levelsABandCThruK. - 
                
MorningCIN(morning convective inhibition): a four-level factor with levelsNone,PartInhibit,StiflingandTotalInhibit. - 
                
AMCINInScen(AM convective inhibition in scenario): a three-level factor with levelsLessThanAve,AverageandMoreThanAve. - 
                
CapInScen(capping withing scenario): a three-level factor with levelsLessThanAve,AverageandMoreThanAve. - 
                
ScenRelAMIns(scenario relevant to AM instability): a six-level factor with levelsABI,CDEJ,F,G,HandK. - 
                
LIfr12ZDENSd(LI from 12Z DEN sounding): a four-level factor with levelsLIGt0,N1GtLIGt_4,N5GtLIGt_8andLILt_8. - 
                
AMDewptCalPl(AM dewpoint calculations, plains): a three-level factor with levelsInstability,NeutralandStability. - 
                
AMInsWliScen(AM instability within scenario): a three-level factor with levelsLessUnstable,AverageandMoreUnstable. - 
                
InsSclInScen(instability scaling within scenario): a three-level factor with levelsLessUnstable,AverageandMoreUnstable. - 
                
ScenRel34(scenario relevant to regions 2/3/4): a five-level factor with levelsACEFK,B,D,GJandHI. - 
                
LatestCIN(latest convective inhibition): a four-level factor with levelsNone,PartInhibit,StiflingandTotalInhibit. - 
                
LLIW(LLIW severe weather index): a four-level factor with levelsUnfavorable,Weak,ModerateandStrong. - 
                
CurPropConv(current propensity to convection): a four-level factor with levelsNone,Slight,ModerateandStrong. - 
                
ScnRelPlFcst(scenario relevant to plains forecast): an eleven-level factor with levelsA,B,C,D,E,F,G,H,I,JandK. - 
                
PlainsFcst(plains forecast): a three-level factor with levelsXNIL,SIGandSVR. - 
                
N34StarFcst(regions 2/3/4 forecast): a three-level factor with levelsXNIL,SIGandSVR. - 
                
R5Fcst(region 5 forecast): a three-level factor with levelsXNIL,SIGandSVR. - 
                
Dewpoints(dewpoints): a seven-level factor with levelsLowEverywhere,LowAtStation,LowSHighN,LowNHighS,LowMtsHighPl,HighEverywher,Other. - 
                
LowLLapse(low-level lapse rate): a four-level factor with levelsCloseToDryAd,Steep,ModerateOrLeandStable. - 
                
MeanRH(mean relative humidity): a three-level factor with levelsVeryMoist,AverageandDry. - 
                
MidLLapse(mid-level lapse rate): a three-level factor with levelsCloseToDryAd,SteepandModerateOrLe. - 
                
MvmtFeatures(movement of features): a four-level factor with levelsStrongFront,MarkedUpper,OtherRapidandNoMajor. - 
                
RHRatio(realtive humidity ratio): a three-level factor with levelsMoistMDryL,DryMMoistLandother. - 
                
SfcWndShfDis(surface wind shifts and discontinuities): a seven-level factor with levelsDenvCyclone,E_W_N,E_W_S,MovigFtorOt,DryLine,NoneandOther. - 
                
SynForcng(synoptic forcing): a five-level factor with levelsSigNegative,NegToPos,SigPositive,PosToNegandLittleChange. - 
                
TempDis(temperature discontinuities): a four-level factor with levelsQStationary,Moving,None,Other. - 
                
WindAloft(wind aloft): a four-level factor with levelsLV,SWQuad,NWQuad,AllElse. - 
                
WindFieldMt(wind fields, mountains): a two-level factor with levelsWesterlyandLVorOther. - 
                
WindFieldPln(wind fields, plains): a six-level factor with levelsLV,DenvCyclone,LongAnticyc,E_NE,SEquadandWidespdDnsl. 
Note
The complete BN can be downloaded from https://www.bnlearn.com/bnrepository/.
Source
Abramson B, Brown J, Edwards W, Murphy A, Winkler RL (1996). "Hailfinder: A Bayesian System for Forecasting Severe Weather." International Journal of Forecasting, 12(1):57–71.
Examples
# load the data.
data(hailfinder)
# create and plot the network structure.
modelstring = paste0("[N07muVerMo][SubjVertMo][QGVertMotion][SatContMoist][RaoContMoist]",
  "[VISCloudCov][IRCloudCover][AMInstabMt][WndHodograph][MorningBound][LoLevMoistAd][Date]",
  "[MorningCIN][LIfr12ZDENSd][AMDewptCalPl][LatestCIN][LLIW]",
  "[CombVerMo|N07muVerMo:SubjVertMo:QGVertMotion][CombMoisture|SatContMoist:RaoContMoist]",
  "[CombClouds|VISCloudCov:IRCloudCover][Scenario|Date][CurPropConv|LatestCIN:LLIW]",
  "[AreaMesoALS|CombVerMo][ScenRelAMCIN|Scenario][ScenRelAMIns|Scenario][ScenRel34|Scenario]",
  "[ScnRelPlFcst|Scenario][Dewpoints|Scenario][LowLLapse|Scenario][MeanRH|Scenario]",
  "[MidLLapse|Scenario][MvmtFeatures|Scenario][RHRatio|Scenario][SfcWndShfDis|Scenario]",
  "[SynForcng|Scenario][TempDis|Scenario][WindAloft|Scenario][WindFieldMt|Scenario]",
  "[WindFieldPln|Scenario][AreaMoDryAir|AreaMesoALS:CombMoisture]",
  "[AMCINInScen|ScenRelAMCIN:MorningCIN][AMInsWliScen|ScenRelAMIns:LIfr12ZDENSd:AMDewptCalPl]",
  "[CldShadeOth|AreaMesoALS:AreaMoDryAir:CombClouds][InsInMt|CldShadeOth:AMInstabMt]",
  "[OutflowFrMt|InsInMt:WndHodograph][CldShadeConv|InsInMt:WndHodograph][MountainFcst|InsInMt]",
  "[Boundaries|WndHodograph:OutflowFrMt:MorningBound][N34StarFcst|ScenRel34:PlainsFcst]",
  "[CompPlFcst|AreaMesoALS:CldShadeOth:Boundaries:CldShadeConv][CapChange|CompPlFcst]",
  "[InsChange|CompPlFcst:LoLevMoistAd][CapInScen|CapChange:AMCINInScen]",
  "[InsSclInScen|InsChange:AMInsWliScen][R5Fcst|MountainFcst:N34StarFcst]",
  "[PlainsFcst|CapInScen:InsSclInScen:CurPropConv:ScnRelPlFcst]")
dag = model2network(modelstring)
## Not run: graphviz.plot(dag, shape = "ellipse")
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