Create multiple matrix in which with synthesized precipitation values

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Pai-Feng Teng 2019-11-29

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https://ww2.mathworks.cn/matlabcentral/answers/493937-create-multiple-matrix-in-which-with-synthesized-precipitation-values

编辑： Pai-Feng Teng 2019-11-29

Objective: to estimate the daily precipitaiton raster (in the format of matrices) for a month

Recently, I have written a function that can generate the precipitation statistically with its rainfall frequency. However, I would like to apply it to generate multiple matrices of the rainfall for the entire month

For example, if i have the matrix data that represents the January rainfall value; each grid represents the average monthly precipitaiton of each area presented in the grid.

1.5 0.6 2.33

2.5 3.5 2.4

3.5 0.5 1.5

The result of I wish to generate the daily rainfall result will be 31 matrices, that each grid stores the daily rainfall I generated statistically. Please let me know how I can make it work. Thank you.

Sincerely

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dpb 2019-11-29

3D array or cell array.

We can't do much more than that w/o seeing how you've constructed your function...

Pai-Feng Teng 2019-11-29

编辑：Pai-Feng Teng 2019-11-29

在 MATLAB Online 中打开

dpb,

Thank you for your reply. the tif I imput and the result will be cell array.

Here is the unsuccessful codes.

clc; clear all
%Imput the mean monthly data raster files that I wish to simulate daily precipitation 
[p01,R] =geotiffread('~/rasters/p201501.tif');
[p02,R] =geotiffread('~/rasters/p201502.tif');
[p03,R] =geotiffread('~/rasters/p201503.tif');
[p04,R] =geotiffread('~/rasters/p201504.tif');
[p05,R] =geotiffread('~/rasters/p201505.tif');
[p06,R] =geotiffread('~/rasters/p201506.tif');
[p07,R] =geotiffread('~/rasters/p201507.tif');
[p08,R] =geotiffread('~/rasters/p201508.tif');
[p09,R] =geotiffread('~/rasters/p201509.tif');
[p10,R] =geotiffread('~/rasters/p201510.tif');
[p11,R] =geotiffread('~/rasters/p201511.tif');
[p12,R] =geotiffread('~/rasters/p201512.tif');
%find the "monthly frequency", or 1/mean
freq01 = 1./p01; 
freq02 = 1./p02;  
freq03 = 1./p03;
freq04 = 1./p04;
freq05 = 1./p05;
freq06 = 1./p06;
freq07 = 1./p07;
freq08 = 1./p08;
freq09 = 1./p09;
freq10 = 1./p10;
freq11 = 1./p11;
freq12 = 1./p12;
%input coefficients
M = 10;%number of iteration
dt = 0.1;
%use for estimating precipitation 
int01 = 0.2960339;
int02 = 0.7460724;
int03 = 1.3267461;
int04 = 2.3548115;
int05 = 2.4087414; 
int06 = 6.1265225;
int07 = 4.2885165;
int08 = 5.0477728;
int09 = 2.7911814;
int10 = 2.7261879;
int11 = 0.2936842;
int12 = 0.5160813;
%entering monthly 
Jan = 31;
Feb = 30;
Mar = 31;
Apr = 30;
May = 31;
Jun = 30;
Jul = 31;
Aug = 31;
Sep = 30;
Oct = 31; 
Nov = 30; 
Dec = 31;
Mtt = zeros(72,62); %this is only used as an examplematrix for generating simulated rasters. Ideally 
% I with to generate as many as number of each month in the function
R01 = simulaterainfall(freq01(1,1), mean(p01,'all'), M, dt, Jan);
%this code will be the sample for developing the "simulated" daily rainfall at
%the location at (1,1) of the matrix. I wish my result to be applied to the entire 
% 72x62 grids, the result of daily data will be saved in rasters 
%the following is the example I tried to develop, but it didn't work out. Ideally
%the final products should be 
for i = 1: %the numbers of rows
Ri = simulaterainfall(freq01(i,1),mean(p01,'all'), M, dt, Jan);%this is only the 
% experimental one for January
Mtt(i,1)=Rn(1);
for j = 2: %the numbers for columns
Rj = simulaterainfall(freq01(1,j),mean(p01,'all'), M, dt, Jan);%this is only the 
% ideally I wish to use thie loop to fill the rest of matrix
Mtt(i,1)=Rn(1); 
end
end %ideally, this loop supposed to fill the entire matrix. If this loop works, 
 function Pr = simulaterainfall(freq, int, M, dt, dmonth)
% simulate monthly rainfall using M storms
t = exprnd(1./freq.*ones(1,M));         % Timing for M storms
tprime = cumsum(t);                     % time for each storm
a = find(tprime>dmonth);                 % We only want each month
tprime(a)=[];                           % Removes times > 365 days
P = exprnd(int.* ones(size(tprime)));	% Depth of storms
% stem(tprime, P)
    
% expand indices of rainfall occurrence
tprimedt0 = round(tprime, 1)*1/dt;
tprimedt = round(tprimedt0, 0);        % round to integers
    
Pr = zeros(1, dmonth./dt);    % reorganize rainfall at designated increments
Pr(tprimedt) = P;           % combine days it did and did not rain
end 

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Create multiple matrix in which with synthesized precipitation values

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