You can wrap your longitudinal values to [-180,180] using wrapTo180() which requires the mapping toolbox.
Edit:
You'll also need the wrapped X data to be in the same order as the original X data and then resort the color value matrix (array_1) to match the new order of the wrapped X data. That can get complicated depending on how your x data are arranaged. Assuming the x is a vector in ascending order, you can follow this demo using the data you provided in a comment below. Note that data on x=0 and x=360 will be combined after wrapping.
D1 = load('long.mat');
long = D1.long;
D2 = load('lat.mat');
lat = D2.lat;
D3 = load('sst2.mat');
sst2 = D3.sst2;
% Wrap longitudinal values and adjust order of C data according
% to the wrapped longitudinal values. This assumes the original
% longitudinal values are in ascending order.
assert(isequal(sort(long(:)), long(:)), 'This method assumes X was sorted in ascending order');
Xwrap = wrapTo180(long);
[XwrapSorted, XwrapOrder] = sort(Xwrap(:));
C = sst2(XwrapOrder,:);
% Plot original data
figure()
tiledlayout(2,1,'TileSpacing','compact')
nexttile()
pcolor(long,lat,sst2');
shading flat
colorbar;
xlabel('Longitude');
ylabel('Latitude');
set(gca,'clim',[275 300]);
title('Original data ([0,360])')
axis equal
axis tight
% Plot wrapped version
nexttile()
pcolor(XwrapSorted,lat,C');
shading flat
colorbar;xlabel('Longitude');ylabel('Latitude');
set(gca,'clim',[275 300]);
title('Wrapped data ([-180,180])')
axis equal
axis tight
