Hi Sewwandhi Chandrasekara,
I understand you want to decompose your yearly data of daily rainfall data to monthly data.
You can do this by splitting the matrix into separate matrices for each month, considering the number of days in each month. Since your data does not account for leap years, February is always considered to have 28 days.
Here is an example snippet in MATLAB to do the same.
% Assuming your data is stored in a matrix 'rainfallData' of size 34x365
rainfallData = rand(34, 365); % Replace this with your actual data
% Define the number of days in each month
daysInMonth = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31];
% Initialize a cell array to hold monthly data
monthlyData = cell(34, 12);
% Process each year
for year = 1:34
startIndex = 1;
for month = 1:12
endIndex = startIndex + daysInMonth(month) - 1;
% Extract data for the current month
monthlyData{year, month} = rainfallData(year, startIndex:endIndex);
% Update the start index for the next month
startIndex = endIndex + 1;
end
end
% Now monthlyData{year, month} contains the rainfall data for the specified month
% For example, to get the January data of the first year
janFirstYear = monthlyData{1, 1};
disp('January Data of the first year:');
disp(janFirstYear);
% If you want to concatenate the data for each month across all years:
allYearsMonthlyData = cell(1, 12);
for month = 1:12
allYearsMonthlyData{month} = cell2mat(arrayfun(@(x) monthlyData{x, month}, 1:34, 'UniformOutput', false)');
end
% For example, to get all January data across all years:
allJanData = allYearsMonthlyData{1};
disp('January Data across all years:');
disp(allJanData);
