Hailfinder

DOI10.5281/zenodo.14793201Zenodo14793201MaRDI QIDQ4834873

Dataset published at Zenodo repository.

Mathematical Research Data Initiative

Publication date: 25 February 2023

Copyright license: CC0

Community: Graphical Modelling and Causal Inference

This synthetic datset is set about severe summer hail in northeastern Colorado. It was introduced in Abramson et al. (1996). Task: The dataset can be used to study causal discovery algorithms. Summary: Size of dataset: 20,000 x 56 Task: Causal Discovery Problem Data Type: Categorical Data Dataset Scope: Standalone Dataset Ground Truth: Known Graph Temporal Structure: Static Data License: CC0 (generated for bnlearn) Missing Values: No Missing Data Missingness Statement: There are no missing values. Features: N07muVerMo: 10.7mu vertical motion (StrongUp, WeakUp, Neutral, and Down) SubjVertMo: subjective judgment of vertical motion (StrongUp, WeakUp, Neutral, and Down) QGVertMotion: quasigeostrophic vertical motion (StrongUp, WeakUp, Neutral, and Down) CombVerMo: combined vertical motion (StrongUp, WeakUp, Neutral, and Down) AreaMesoALS: area of meso-alpha (StrongUp, WeakUp, Neutral, and Down) SatContMoist: satellite contribution to moisture (VeryWet, Wet, Neutral, and Dry) RaoContMoist: reading at the forecast center for moisture (VeryWet, Wet, Neutral, and Dry) CombMoisture: combined moisture (VeryWet, Wet, Neutral, and Dry) AreaMoDryAir: area of moisture and dry air (VeryWet, Wet, Neutral, and Dry) VISCloudCov: visible cloud cover (Cloudy, PC, and Clear) RCloudCover: infrared cloud cover (Cloudy, PC, and Clear) CombClouds: combined cloud cover (Cloudy, PC, and Clear) CldShadeOth: cloud shading, other (Cloudy, PC, and Clear) AMInstabMt: AM instability in the mountains (None, Weak, and Strong) InsInMt: instability in the mountains (None, Weak, and Strong) WndHodograph: wind hodograph (DCVZFavor, StrongWest, Westerly, and Other) OutflowFrMt: outflow from mountains (None, Weak, and Strong) MorningBound: morning boundaries (None, Weak, and Strong) Boundaries: boundaries (None, Weak, and Strong) CldShadeConv: cloud shading, convection (None, Some, and Marked) CompPlFcst: composite plains forecast (IncCapDecIns, LittleChange, and DecCapIncIns) CapChange: capping change (Decreasing, LittleChange, and Increasing) LoLevMoistAd: low-level moisture advection (StrongPos, WeakPos, Neutral, and Negative) InsChange: instability change (Decreasing, LittleChange, and Increasing) MountainFcst: mountains (region 1) forecast (XNIL, SIG, and SVR) Date: date (May15_Jun14, Jun15_Jul1, Jul2_Jul15, Jul16_Aug10, Aug11_Aug20, and Aug20_Sep15) Scenario: scenario (A, B, C, D, E, F, G, H, I, J, and K) ScenRelAMCIN: scenario relevant to AM convective inhibition (AB and CThruK) MorningCIN: morning convective inhibition (None, PartInhibit, Stifling, and TotalInhibit) AMCINInScen: AM convective inhibition in scenario (LessThanAve, Average, and MoreThanAve) CapInScen: capping within scenario (LessThanAve, Average, and MoreThanAve) ScenRelAMIns: scenario relevant to AM instability (ABI, CDEJ, F, G, H, and K) LIfr12ZDENSd: LI from 12Z DEN sounding (LIGt0, N1GtLIGt_4, N5GtLIGt_8, and LILt_8) AMDewptCalPl: AM dewpoint calculations, plains (Instability, Neutral, and Stability) AMInsWliScen: AM instability within scenario (LessUnstable, Average, and MoreUnstable) InsSclInScen: instability scaling within scenario (LessUnstable, Average, and MoreUnstable) ScenRel34: scenario relevant to regions 2/3/4 (ACEFK, B, D, GJ, and HI) LatestCIN: latest convective inhibition (None, PartInhibit, Stifling, and TotalInhibit) LLIW: LLIW severe weather index (Unfavorable, Weak, Moderate, and Strong) CurPropConv: current propensity to convection (None, Slight, Moderate, and Strong) ScnRelPlFcst: scenario relevant to plains forecast (A, B, C, D, E, F, G, H, I, J, and K) PlainsFcst: plains forecast (XNIL, SIG, and SVR) N34StarFcst: regions 2/3/4 forecast (XNIL, SIG, and SVR) R5Fcst: region 5 forecast (XNIL, SIG, and SVR) Dewpoints: dewpoints (LowEverywhere, LowAtStation, LowSHighN, LowNHighS, LowMtsHighPl, HighEverywhere, and Other) LowLLapse: low-level lapse rate (CloseToDryAd, Steep, ModerateOrLe, and Stable) MeanRH: mean relative humidity (VeryMoist, Average, and Dry) MidLLapse: mid-level lapse rate (CloseToDryAd, Steep, and ModerateOrLe) MvmtFeatures: movement of features (StrongFront, MarkedUpper, OtherRapid, and NoMajor) RHRatio: relative humidity ratio (MoistMDryL, DryMMoistL, and Other) SfcWndShfDis: surface wind shifts and discontinuities (DenvCyclone, E_W_N, E_W_S, MovigFtorOt, DryLine, None, and Other) SynForcng: synoptic forcing (SigNegative, NegToPos, SigPositive, PosToNeg, and LittleChange) TempDis: temperature discontinuities (QStationary, Moving, None, and Other) WindAloft: wind aloft (LV, SWQuad, NWQuad, and AllElse) WindFieldMt: wind fields, mountains (Westerly and LVorOther) WindFieldPln: wind fields, plains (LV, DenvCyclone, LongAnticyc, E_NE, SEquad, and WidespdDnsl) Files: hailfinder.csv: dataset hailfinder.bif:Bayesian Network from (Scutari (2010), License CC BY-SA 3.0). The network was used for data generation in Abramson et al. (1996) and was designed on meteorological data and expert judgment, based on both experience and physical understanding.

Described by source

Bayesian Networks in R

Is analysed by