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/***********************************************/
/**
* @file gravityfieldCovariancesPropagation2GriddedData.cpp
*
* @brief Covariances of values of a gravity field on a grid.
*
* @author Torsten Mayer-Guerr
* @date 2008-11-06
*/
/***********************************************/
// Latex documentation
#define DOCSTRING docstring
static const char *docstring = R"(
This program computes the covariance between a source point given
by longitude/latitude (\config{L}, \config{B}) and the points of a \configClass{grid}{gridType}
in terms of the functional given by \configClass{kernel}{kernelType} from the variance-covariance
matrix of a \configClass{gravityfield}{gravityfieldType} evaluated at \config{time}.
If \config{computeCorrelation} is set, the program returns the correlation according to
\begin{equation}
r_{ij} = \frac{\sigma_{ij}}{\sigma_i \sigma_j}
\end{equation}
in the range of [-1, 1] instead of the covariance.
See also \program{Gravityfield2GridCovarianceMatrix}, \program{GravityfieldVariancesPropagation2GriddedData}.
)";
/***********************************************/
#include "programs/program.h"
#include "files/fileGriddedData.h"
#include "classes/grid/grid.h"
#include "classes/kernel/kernel.h"
#include "classes/gravityfield/gravityfield.h"
#include "misc/miscGriddedData.h"
/***** CLASS ***********************************/
/** @brief Covariances of values of a gravity field on a grid.
* @ingroup programsGroup */
class GravityfieldCovariancesPropagation2GriddedData
{
public:
void run(Config &config, Parallel::CommunicatorPtr comm);
};
GROOPS_REGISTER_PROGRAM(GravityfieldCovariancesPropagation2GriddedData, PARALLEL, "covariances of values of a gravity field on a grid", Gravityfield, Grid)
/***********************************************/
void GravityfieldCovariancesPropagation2GriddedData::run(Config &config, Parallel::CommunicatorPtr comm)
{
try
{
FileName fileNameGrid;
GridPtr grid;
KernelPtr kernel;
GravityfieldPtr gravityfield;
Time time;
Angle L, B;
Double height;
Double a, f;
Bool calcCorrelation;
readConfig(config, "outputfileGriddedData", fileNameGrid, Config::MUSTSET, "", "gridded data file containing the covariance betwenn source point and grid points");
readConfig(config, "grid", grid, Config::MUSTSET, "", "");
readConfig(config, "kernel", kernel, Config::MUSTSET, "", "functional");
readConfig(config, "gravityfield", gravityfield, Config::MUSTSET, "", "");
readConfig(config, "time", time, Config::OPTIONAL, "", "at this time the gravity field will be evaluated");
readConfig(config, "L", L, Config::DEFAULT, "0", "longitude of variance point");
readConfig(config, "B", B, Config::DEFAULT, "0", "latitude of variance point");
readConfig(config, "height", height, Config::DEFAULT, "0", "ellipsoidal height of source point");
readConfig(config, "computeCorrelation", calcCorrelation, Config::DEFAULT, "0", "compute correlations instead of covariances");
readConfig(config, "R", a, Config::DEFAULT, STRING_DEFAULT_GRS80_a, "reference radius for ellipsoidal coordinates on output");
readConfig(config, "inverseFlattening", f, Config::DEFAULT, STRING_DEFAULT_GRS80_f, "reference flattening for ellipsoidal coordinates on output, 0: spherical coordinates");
if(isCreateSchema(config)) return;
// Create grid
// -----------
std::vector<Vector3d> points = grid->points();
std::vector<Double> areas = grid->areas();
Vector3d point0 = Ellipsoid(a,f)(L,B,height);
// Compute covariances
// -------------------
logStatus<<"calculate covariances on grid"<<Log::endl;
std::vector<Double> field(points.size());
Parallel::forEach(field, [&](UInt i) {return gravityfield->covariance(time, point0, points.at(i), *kernel);}, comm);
std::vector<Double> sigma(points.size());
if(calcCorrelation)
{
logStatus<<"calculate standard deviations on grid"<<Log::endl;
Parallel::forEach(sigma, [&](UInt i) {return sqrt(gravityfield->variance(time, points.at(i), *kernel));}, comm);
}
if(Parallel::isMaster(comm))
{
if(calcCorrelation)
{
Double sigma0 = std::sqrt(gravityfield->variance(time, point0, *kernel));
for(UInt i=0; i<field.size(); i++)
field.at(i) /= (sigma0*sigma.at(i));
}
logStatus<<"save values to file <"<<fileNameGrid<<">"<<Log::endl;
GriddedData griddedData(Ellipsoid(a,f), points, areas, {field});
writeFileGriddedData(fileNameGrid, griddedData);
MiscGriddedData::printStatistics(griddedData);
} // if(Parallel::isMaster(comm))
}
catch(std::exception &e)
{
GROOPS_RETHROW(e)
}
}
/***********************************************/
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