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Open Climate Fix 36

Hi @kwon-encored ,

Let me know if I misunderstood your question, but I think what you're describing is a normal quirk of using sources with different projections: when you move +1 horizontally (i e to the east) you get an increase in your corresponding longitude, which indicates a move eastward as well. The minor change in latitude is not ideal but is probably because the transformation is trying to match two fundamentally different projections.

It can be a problem, but I think in our application it shouldn't matter, since we're trying to get the surrounding area of a given point that roughly coincides with the area covered by the other sources (ECMWF and EUMETSAT), so basically what we care about is that this area is consistent between samples, which shouldn't be affected by what you're describing.

I'm not sure what you mean by getting a 48x48 grid though, if you could elaborate maybe I can be of more help?

@AUdaltsova
Thank you for your response! I wanted to clarify what I meant by the difference between 24x24 and 48x48.

In your study, the dimensionality of the UKV data is structured as (11, 24, 24, 6), where there are 11 timesteps, 24 longitude pixels, 24 latitude pixels, and 6 NWP variables.

In my case, after selecting a random center point for the region of interest (ROI), I move 11 pixels to the left and 12 pixels to the right, as well as 11 pixels up and 12 pixels down, which results in a 24x24 pixel grid.

However, when I attempt to organize this data into a Zarr file with dimensions (11, 24, 24, 6), I run into an issue because the UKV data uses a different projection coordinate system (LCC projection). For instance, here is what happens when I move horizontally from (x1, y1) to (x1, y12) with a constant horizontal pixel value (part of the 24x24 grid):

36.354808248456365, 128.7639406928467
36.35433073751885, 128.78105733132637
36.35385028038491, 128.79817371553307
36.353366877131826, 128.8152898439081
36.352880527837215, 128.83240571489307
36.35239123257925, 128.84952132692965
36.35189899143653, 128.8666366784596
36.35140380448813, 128.88375176792496
36.3509056718136, 128.90086659376777 (this coordinate is not exactly on UK! I am experimenting other things independently!)

As you can see, there are minor variations in the x-pixel values,
which means I don't get 12 unique x-pixels across this movement.
Due to this discrepancy, I am unable to match the expected dimensions of (11, 24, 24, 6) and tried to ask advice if possible

Hi @kwon-encored ,

Oh I see! We normally keep our data sources in their original grids and only transform the centre point, and then get and save the crop in the original projection.

@AUdaltsova Thank you so much always for your thoughtful answers!

But then, how do you handle those small, constantly changing x-axis values?
I don’t see any repeating values—they all seem uniquely different by 1000000th decimals. Or maybe I’m looking at the wrong data file, haha.
Do you have any simple sample UKV Zarr data I could take a look at?

@kwon-encored no problem :)

So the original file with the original grid should just have two osgb x and y axes and a neat 2D grid in osgb coordinates. When you do the selection, you calculate the corresponding osgb coordinates for your lat-lon centre point (see the top couple of functions in the .py file you linked), and from there get your UKV crop still in osgb coords (that would be your 24 x 24 grid). You are right that it will not correspond to a neat 24 x 24 lat-lon grid, but the model doesn't actually get the coordinate values themselves, just the crop, so the fact that different sources are in different coordinate systems doesn't really matter as long as they cover the relevant area.

If a 2D osgb grid is not what you are looking at in your file, you might indeed be working with the wrong data!

Hi @AUdaltsova ,

Thank you again for your clear and detailed explanation!

Just to make sure I’m understanding correctly—are you saying that the different latitude and longitude values are not directly recorded under the 24x24 grid structure in that Zarr file? I was attempting to save the sample data into a Zarr file with the dimensions (time, lat, lon, nwp_variables), but I ran into issues with the lat and lon dimensions. However, based on your research and your response, it seems that it’s fine not to include those aforementioned specific lat-lon values and instead only store the cropped 24x24 pixels. Is that the correct interpretation?

Thanks again for your help!

Hi @kwon-encored

So the process I've described of the 24x24 grid selection is done for you in the datapipes when they do batch creation. After batch creation is completed, each sample will have a 24x24 grid of UKV data cropped out of its original LCC (osgb) grid.

If you are trying to prepare the UKV dataset for the datapipes to use, you do not need to transform your coordinates into latitude and longitude, just leave them in the projection you've downloaded them (judging by our loader here they are just called x and y, but if your version is different you might have to fiddle with either your data or the loader a bit for everything to fit together)

Hi @AUdaltsova ,

Thank you for your thorough explanations—I think I’ve mostly got it now. It turns out I was working with the wrong dataset initially :/

Quick follow-up question: when you crop the 24x24 grid of UKV data, are the osgb_x values consistent across the horizontal (easting) and the osgb_y values consistent across the vertical (northing) so that the (osgb_x, osgb_y) dimension is completely 24x24?
I just want to ensure if you could neatly record the 24_x and 24_y coordinates for our Zarr file

Hi @kwon-encored ,

ah that can be very confusing, I sympathise!

Yes, after cropping it should give you a clean 24 x 24 grid.

@AUdaltsova
I did it!! Thank you for your precious time and amazing support

@kwon-encored yay! Glad i could help :)