Hello from France ! I'm maybe totally outdated but I don't get the deseason function, even looking at the documentation. It's maybe stupid but the deseason function gives you monthly average (as your dataset is a monthly one) value for each month right ? So how is it possible to have a bigger value for seasonnal variation as it doesn't take into account possible short time scale extreme event which would be more visible with monthly average ? Thank you for your great work ! Wish you the best !
Thank you very much Sir. I downloaded a monthly subset data of the NCEP reanalysis product. When I plotted it, it appear too small in the bigger map. How can matlab fix this so that only the map portions corresponding to the subset data is produced?
Thank you for the video, I have MATLAB 2022. And your screen seems totally different then mine even when I write your commands nothing works as yours, always error.Your answer will ne greatly appreciated !
Good question! The answer: trend(sst1,12) gives an answer of 0.02, which is the trend in degrees C per year. The 12 is because it's a monthly dataset and there are 12 months per year. Multiplying the yearly trend by 67 is a way of estimating the total amount of warming that has occurred over the 67 year dataset. Of course, it would be easier to simply subtract the first measurement from the last measurement to calculate the total amount of warming over the 67 year period, but a simple subtraction would be sensitive to any short-term weather events that might occur in the first and last measurement. Taking the linear trend and multiplying by the total duration is less sensitive to noise.
Hello sir, could you kindly help me with the tentative guide on how to average across the two dimensions of a 3d array, and loop it across 86 timesteps? It's a climate data of type 720x360x86. Thank you.
Hai Rohit, have you got your problem solved. I am in need of a solution for the same kind of problem. Could you help me if you have the solution for the same
@@chadagreene Thankyou Sir, pcolor interpolated is excluding some of the grids on the border of my shapefile as the data outside is NaN, so I was wondering if there could be another way.
thanks Dr. Chad
Hello from France ! I'm maybe totally outdated but I don't get the deseason function, even looking at the documentation. It's maybe stupid but the deseason function gives you monthly average (as your dataset is a monthly one) value for each month right ? So how is it possible to have a bigger value for seasonnal variation as it doesn't take into account possible short time scale extreme event which would be more visible with monthly average ? Thank you for your great work ! Wish you the best !
How to plot step response in MATLAB: ruclips.net/video/BF9mLdQcgk8/видео.html
Thank you very much Sir.
I downloaded a monthly subset data of the NCEP reanalysis product. When I plotted it, it appear too small in the bigger map.
How can matlab fix this so that only the map portions corresponding to the subset data is produced?
Please explain about statistical downscaling using matlab. Can we statistically downscale GCM data at spatial scale?
Thank you for the video, I have MATLAB 2022. And your screen seems totally different then mine even when I write your commands nothing works as yours, always error.Your answer will ne greatly appreciated !
Dr. Greene, could you please tell why you multiply the trend by 67 in trend(sst1) * 67?
Good question! The answer:
trend(sst1,12)
gives an answer of 0.02, which is the trend in degrees C per year. The 12 is because it's a monthly dataset and there are 12 months per year.
Multiplying the yearly trend by 67 is a way of estimating the total amount of warming that has occurred over the 67 year dataset.
Of course, it would be easier to simply subtract the first measurement from the last measurement to calculate the total amount of warming over the 67 year period, but a simple subtraction would be sensitive to any short-term weather events that might occur in the first and last measurement. Taking the linear trend and multiplying by the total duration is less sensitive to noise.
@@chadagreene Thanks for the explanation I have been able to solve my doubt.
Thank you🙏
How to do downscaling GCM data in matlab
Hello sir, could you kindly help me with the tentative guide on how to average across the two dimensions of a 3d array, and loop it across 86 timesteps? It's a climate data of type 720x360x86. Thank you.
Hai Rohit, have you got your problem solved. I am in need of a solution for the same kind of problem. Could you help me if you have the solution for the same
Hello Sir, Can you please tell how to plot a figure using interpolated shading in imagescn
For interpolated shading use:
pcolor(x,y,z)
shading interp
@@chadagreene Thankyou Sir, pcolor interpolated is excluding some of the grids on the border of my shapefile as the data outside is NaN, so I was wondering if there could be another way.