public static async Task <CruCl20DataHandler> CreateAsync(IStorageContext dataContext)
{
var storageDefinition = dataContext.StorageDefinition;
var latIntegratorTask = LinearIntegratorsFactory.SmartConstructAsync(dataContext, IntegratorsFactoryHelpers.AutodetectLatName(storageDefinition));
var lonIntegratorTask = LinearIntegratorsFactory.SmartConstructAsync(dataContext, IntegratorsFactoryHelpers.AutodetectLonName(storageDefinition));
var timeIntegrator = new TimeAxisAvgProcessing.MonthlyMeansOverExactYearsStepIntegratorFacade(1961, 1990);
var latIntegrator = await latIntegratorTask;
var lonIntegrator = await lonIntegratorTask;
var thinningLatIntegrator = new SpatGridIntegatorThinningDecorator(latIntegrator);
var thinningLonIntegrator = new SpatGridIntegatorThinningDecorator(lonIntegrator);
var baseNodeUncertainty = new CruBaseNodeUnceratinty();
var temporalVarianceCalculaator = new LinearCombination1DVarianceCalc(new StorageContextMetadataTimeVarianceExtractor(storageDefinition, 12.0), timeIntegrator);
var spatialVarianceCalculator = new LinearCombinationOnSphereVarianceCalculator(new StorageContextMetadataSpatialVarianceExtractor(storageDefinition), latIntegrator, lonIntegrator);
var bitMaskProvider = new EmbeddedResourceBitMaskProvider(typeof(CruCl20DataHandler), "Microsoft.Research.Science.FetchClimate2.CruDataMask.bf");
var gaussianFieldUncertaintyEvaluator = new SequentialTimeSpatialUncertaintyEvaluatorFacade(timeIntegrator, latIntegrator, lonIntegrator, temporalVarianceCalculaator, spatialVarianceCalculator, baseNodeUncertainty);
var coverageCheckUncertaintyEvaluator = new GridUncertaintyConventionsDecorator(gaussianFieldUncertaintyEvaluator, latIntegrator, lonIntegrator, timeIntegrator);
var landMaskEnabledUncertaintyEvaluator = new GridBitmaskDecorator(coverageCheckUncertaintyEvaluator, bitMaskProvider);
var variablePresenceCheckEvaluator = new VariablePresenceCheckDecorator(dataContext.StorageDefinition, landMaskEnabledUncertaintyEvaluator);
var gridAggregator = new GridMeanAggregator(dataContext, timeIntegrator, latIntegrator, lonIntegrator, true);
var clusteringAggregator = new GridClusteringDecorator(dataContext.StorageDefinition, gridAggregator, timeIntegrator, latIntegrator, lonIntegrator);
return(new CruCl20DataHandler(dataContext, variablePresenceCheckEvaluator, clusteringAggregator));
}
public void LongTermMonthlyMeansWithExactYears()
{
ITimeAxisAvgProcessing a = new TimeAxisAvgProcessing.MonthlyMeansOverExactYearsStepIntegratorFacade(1961, 1990); //the provider checks mongth alignment AND exact years match
ITimeSegment t = new TimeRegionExtensions.TimeSegment(2000, 2001, 1, 31, 0, 24);
var c = a.GetCoverage(t);
Assert.AreEqual(DataCoverageResult.DataWithoutUncertainty, c); //years do not match
t = new TimeRegionExtensions.TimeSegment(2000, 2001, 1, 38, 0, 24); //years do not match and time is not aligned to month bounds
c = a.GetCoverage(t);
Assert.AreEqual(DataCoverageResult.DataWithoutUncertainty, c);
t = new TimeRegionExtensions.TimeSegment(1961, 1990, 1, 38, 0, 24); //years match but time is not aligned to month bounds
c = a.GetCoverage(t);
Assert.AreEqual(DataCoverageResult.DataWithoutUncertainty, c);
t = new TimeRegionExtensions.TimeSegment(1961, 1990, 1, 31, 0, 24); //years match and time is aligned to month bounds
c = a.GetCoverage(t);
Assert.AreEqual(DataCoverageResult.DataWithUncertainty, c);
}