Assign values based on multiple index thresholds - vectorised solution?

I would like to assign different values to a variable (SRF) which is used in a loop which is running over time (at hourly interval). Currently there is a matrix of SRF values in a matrix (41,3). I want to extract the list of values (all 41) depending upon the year (1:3). In a later loop I pull out each value from the list, but first I need to set the list using the year. I have already extracted the min and max indices (relating to the time) of each year in a variable:

year_no_idx =

1 3816

3817 11832

11833 16392

I want to do this within the time loop which is already running over each hour, but I don't want to add another loop to run over the year too, as there are several other dimensions (3 more) coming later and I would rather not complicate things further. I feel like there must be a simple way to do this in a vectorised way, but I really can't find any clues to help. I can't just write three if statements as later I want to run the same code for other data, and later also for every month, so it has to be robust. Thanks for any suggestions!

[Catriona Fyffe]

Its ok I decided to implement a seperate loop before the main loop, which does what I was after. It would still be nice to know if you can vectorise this sort of thing.

for y=1:max(year_no)
    for i=x1:x2
        if (year_no_idx(y,1)<=i) && (year_no_idx(y,2)>=i)
            SRF_hourly_year(i,:)=SRF_list_fine_year(:,y);
        end
    end
end