1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
|
/***********************************************/
/**
* @file normalsTemporalCombination.cpp
*
* @brief Normal equations of trend, annual from a time series of normal equations.
*
* @author Torsten Mayer-Guerr
* @date 2016-03-03
*/
/***********************************************/
// Latex documentation
#define DOCSTRING docstring
static const char *docstring = R"(
This program reads a times series of \configFile{inputfileNormalequation}{normalEquation}
with asscociated \configClass{timeSeries}{timeSeriesType} and setup a new combined normal equation system.
For each parameter a \configClass{parametrizationTemporal}{parametrizationTemporalType} is used.
It can be used to estimate trend and annual spherical harmonic coefficients from monthly GRACE normal equations.
)";
/***********************************************/
#include "programs/program.h"
#include "parallel/matrixDistributed.h"
#include "files/fileNormalEquation.h"
#include "classes/timeSeries/timeSeries.h"
#include "classes/parametrizationTemporal/parametrizationTemporal.h"
/***** CLASS ***********************************/
/** @brief Normal equations of trend, annual from a time series of normal equations.
* @ingroup programsGroup */
class NormalsTemporalCombination
{
public:
void run(Config &config, Parallel::CommunicatorPtr comm);
};
GROOPS_REGISTER_PROGRAM(NormalsTemporalCombination, PARALLEL, "normal equations of trend, annual from a time series of normal equations", NormalEquation)
/***********************************************/
void NormalsTemporalCombination::run(Config &config, Parallel::CommunicatorPtr comm)
{
try
{
FileName fileNameOut;
std::vector<FileName> fileNameIn;
ParametrizationTemporalPtr temporal;
TimeSeriesPtr timeSeries;
renameDeprecatedConfig(config, "outputfileNormalequation", "outputfileNormalEquation", date2time(2020, 6, 3));
renameDeprecatedConfig(config, "inputfileNormalequation", "inputfileNormalEquation", date2time(2020, 6, 3));
renameDeprecatedConfig(config, "temporalRepresentation", "parametrizationTemporal", date2time(2020, 6, 3));
readConfig(config, "outputfileNormalEquation", fileNameOut, Config::MUSTSET, "", "");
readConfig(config, "inputfileNormalEquation", fileNameIn, Config::MUSTSET, "", "normal equations for each point in time");
readConfig(config, "timeSeries", timeSeries, Config::MUSTSET, "", "times of each normal equations");
readConfig(config, "parametrizationTemporal", temporal, Config::MUSTSET, "", "");
if(isCreateSchema(config)) return;
// =============================================
// Create time series
// ------------------
std::vector<Time> times = timeSeries->times();
if(times.size() != fileNameIn.size())
throw(Exception("fileCount("+fileNameIn.size()%"%i) != timeCount("s+times.size()%"%i)-1"s));
// =============================================
// read normal equations
// ---------------------
logStatus<<"read normal equations"<<Log::endl;
MatrixDistributed normal;
Matrix nTotal;
NormalEquationInfo infoTotal;
Single::forEach(times.size(), [&](UInt idEpoch)
{
// read normals
// ------------
Matrix N, n;
NormalEquationInfo info;
try
{
readFileNormalEquation(fileNameIn.at(idEpoch), info, N, n);
}
catch(std::exception &e)
{
logWarningOnce<<e.what()<<" continue..."<<Log::endl;
return;
}
// init normals
// ------------
const Vector factorTemporal = temporal->factors(times.at(idEpoch));
if(normal.parameterCount()==0)
{
std::vector<UInt> blockIndex(factorTemporal.size()+1);
for(UInt i=0; i<=factorTemporal.rows(); i++)
blockIndex.at(i) = i*N.rows();
normal.initEmpty(blockIndex, comm);
nTotal = Matrix(normal.parameterCount(), n.columns());
infoTotal.lPl = Vector(n.columns());
}
// test dimension
// --------------
if((n.rows() != normal.blockSize(0)) || (n.columns() != nTotal.columns()))
throw(Exception("Normal equation dimension mismatch"));
// parameter names
// ---------------
if(!infoTotal.parameterName.size())
infoTotal.parameterName = info.parameterName;
else
for(UInt i=0; i<infoTotal.parameterName.size(); i++)
if(!infoTotal.parameterName.at(i).combine(info.parameterName.at(i)))
logWarning<<"Parameter names do not match at index "<<i<<": '"<<infoTotal.parameterName.at(i).str()<<"' != '"<< info.parameterName.at(i).str()<<"'"<< Log::endl;
// setup normal matrix
// -------------------
fillSymmetric(N);
for(UInt i=0; i<normal.blockCount(); i++)
for(UInt k=i; k<normal.blockCount(); k++)
if(factorTemporal(i) != 0 && factorTemporal(k) != 0)
{
normal.setBlock(i, k);
if(normal.isMyRank(i,k))
axpy(factorTemporal(i)*factorTemporal(k), N, normal.N(i,k));
}
if(Parallel::isMaster(comm))
{
for(UInt i=0; i<normal.blockCount(); i++)
axpy(factorTemporal(i), n, nTotal.row(normal.blockIndex(i), normal.blockSize(i)));
infoTotal.observationCount += info.observationCount;
infoTotal.lPl += info.lPl;
}
});
// =============================================
// adjust parameter names based on temporal representation
// -------------------------------------------------------
std::vector<ParameterName> baseName;
std::swap(infoTotal.parameterName, baseName);
temporal->parameterName(baseName, infoTotal.parameterName);
// write normal equations
// ----------------------
logStatus<<"write normal equations to <"<<fileNameOut<<">"<<Log::endl;
writeFileNormalEquation(fileNameOut, infoTotal, normal, nTotal);
}
catch(std::exception &e)
{
GROOPS_RETHROW(e)
}
}
/***********************************************/
|
