PreprocessingDualSst

This programs processes satellite-to-satellite-tracking (SST) and orbit observations in a GRACE like configuration. Four different observation groups are considered separately: two types of SST and POD1/POD2 for the two satellites. This program works similar to PreprocessingSst, see there for details. Here only the settings explained, which are different.

Both SST observation types are reduced by the same background models and the same impact of accelerometer measurements. The covariance matrix of the reduced observations should not consider the the instrument noise only (covarianceSst1/2) but must take the cross correlations covarianceAcc into account. The covariance matrix of the reduced observations is given by \[ \M\Sigma(\begin{bmatrix} \Delta l_{SST1} \\ \Delta l_{SST2} \end{bmatrix}) = \begin{bmatrix} \M\Sigma_{SST1} + \M\Sigma_{ACC} & \M\Sigma_{ACC} \\ \M\Sigma_{ACC} & \M\Sigma_{SST2} + \M\Sigma_{ACC} \end{bmatrix}. \]

Name	Type	Annotation
outputfileSolution	filename	estimated parameter vector (static part only)
outputfileSigmax	filename	standard deviations of the parameters (sqrt of the diagonal of the inverse normal equation)
outputfileParameterName	filename	estimated signal parameters (index is appended)
estimateArcSigmas	sequence
outputfileSigmasPerArcSst1	filename	accuracies of each arc (SST1)
outputfileSigmasPerArcSst2	filename	accuracies of each arc (SST2)
outputfileSigmasPerArcAcc	filename	accuracies of each arc (ACC)
outputfileSigmasPerArcPod1	filename	accuracies of each arc (POD1)
outputfileSigmasPerArcPod2	filename	accuracies of each arc (POD2)
estimateEpochSigmas	sequence
outputfileSigmasPerEpochSst1	filename	accuracies of each epoch (SST1)
outputfileSigmasPerEpochSst2	filename	accuracies of each epoch (SST2)
outputfileSigmasPerEpochAcc	filename	accuracies of each epoch (ACC)
outputfileSigmasPerEpochPod1	filename	accuracies of each epoch (POD1)
outputfileSigmasPerEpochPod2	filename	accuracies of each epoch (POD2)
estimateCovarianceFunctions	sequence
outputfileCovarianceFunctionSst1	filename	covariance function
outputfileCovarianceFunctionSst2	filename	covariance function
outputfileCovarianceFunctionAcc	filename	covariance function
outputfileCovarianceFunctionPod1	filename	covariance functions for along, cross, radial direction
outputfileCovarianceFunctionPod2	filename	covariance functions for along, cross, radial direction
computeResiduals	sequence
outputfileSst1Residuals	filename
outputfileSst2Residuals	filename
outputfileAccResiduals	filename
outputfilePod1Residuals	filename
outputfilePod2Residuals	filename
observation	choice	obervation equations (Sst)
dualSstVariational	sequence	two SST observations
rightHandSide	sequence	input for observation vectors
inputfileSatelliteTracking1	filename	ranging observations and corrections
inputfileSatelliteTracking2	filename	ranging observations and corrections
inputfileOrbit1	filename	kinematic positions of satellite A as observations
inputfileOrbit2	filename	kinematic positions of satellite B as observations
sstType	choice
range
rangeRate
none
inputfileVariational1	filename	approximate position and integrated state matrix
inputfileVariational2	filename	approximate position and integrated state matrix
ephemerides	ephemerides
parametrizationGravity	parametrizationGravity	gravity field parametrization
parametrizationAcceleration1	parametrizationAcceleration	orbit1 force parameters
parametrizationAcceleration2	parametrizationAcceleration	orbit2 force parameters
parametrizationSst1	parametrizationSatelliteTracking	satellite tracking parameter for first ranging observations
parametrizationSst2	parametrizationSatelliteTracking	satellite tracking parameter for second ranging observations
integrationDegree	uint	integration of forces by polynomial approximation of degree n
interpolationDegree	uint	orbit interpolation by polynomial approximation of degree n
covarianceSst1	sequence
sigma	double	apriori factor of covariance function
inputfileSigmasPerArc	filename	apriori different accuaries for each arc (multiplicated with sigma)
inputfileSigmasPerEpoch	filename	apriori different accuaries for each epoch
inputfileCovarianceFunction	filename	approximate covariances in time
inputfileCovarianceMatrixArc	filename	Must be given per sst arc with correct dimensions.
inputfileSigmasCovarianceMatrixArc	filename	Vector with one sigma for each
sampling	double	[seconds] sampling of the covariance function
covarianceSst2	sequence
sigma	double	apriori factor of covariance function
inputfileSigmasPerArc	filename	apriori different accuaries for each arc (multiplicated with sigma)
inputfileSigmasPerEpoch	filename	apriori different accuaries for each epoch
inputfileCovarianceFunction	filename	approximate covariances in time
inputfileCovarianceMatrixArc	filename	Must be given per sst arc with correct dimensions.
inputfileSigmasCovarianceMatrixArc	filename	Vector with one sigma for each
sampling	double	[seconds] sampling of the covariance function
covarianceAcc	sequence
sigma	double	apriori factor of covariance function
inputfileSigmasPerArc	filename	apriori different accuaries for each arc (multiplicated with sigma)
inputfileSigmasPerEpoch	filename	apriori different accuaries for each epoch
inputfileCovarianceFunction	filename	approximate covariances in time
inputfileCovarianceMatrixArc	filename	Must be given per sst arc with correct dimensions.
inputfileSigmasCovarianceMatrixArc	filename	Vector with one sigma for each
sampling	double	[seconds] sampling of the covariance function
covariancePod1	sequence
sigma	double	apriori factor of covariance function
inputfileSigmasPerArc	filename	apriori different accuaries for each arc (multiplicated with sigma)
inputfileSigmasPerEpoch	filename	apriori different accuaries for each epoch
inputfileCovarianceFunction	filename	approximate covariances in time
inputfileCovariancePodEpoch	filename	3x3 epoch covariances
sampling	double	[seconds] sampling of the covariance function
covariancePod2	sequence
sigma	double	apriori factor of covariance function
inputfileSigmasPerArc	filename	apriori different accuaries for each arc (multiplicated with sigma)
inputfileSigmasPerEpoch	filename	apriori different accuaries for each epoch
inputfileCovarianceFunction	filename	approximate covariances in time
inputfileCovariancePodEpoch	filename	3x3 epoch covariances
sampling	double	[seconds] sampling of the covariance function
estimateShortTimeVariations	sequence	co-estimate short time gravity field variations
estimateSigma	boolean	estimate standard deviation via VCE
autoregressiveModelSequence	autoregressiveModelSequence	AR model sequence for constraining short time gravity variations
parameterSelection	parameterSelector	parameters describing the short time gravity field
downweightPod	double	downweight factor for POD
inputfileArcList	filename	list to correspond points of time to arc numbers
iterationCount	uint	(maximum) number of iterations for the estimation of calibration parameter and error PSD
variableNameIterations	string	All output fileNames in preprocessing iteration are expanded with this variable prior to writing to disk
defaultBlockSize	uint	block size of static normal equation blocks

This program is parallelized.