Check element-wise of netcdf data using R
I need some idea on how to systematically execute my meteorology finding sourced from netcdf data using R. I want to identify which coordinate on which hours on which days having horizontal wind larger than 40 m/s.
If this is a single latitude and longitude, I can convert the data into ".txt" file and do the Boolean test in R. But this checking need to look at 6 hourly data for 30 days in a certain range of coordinate. Let say I have a box of coordinate, (long = 90 E : 130.5 E and lat = 4.50 S : 15 N).
My idea is that the checking element-wise will looping in a range of latitude and longitude for each 6 hourly on each days, and then the result will be save as logical operator (yes/no @ 0101). Is this possible, or this can simply achieved using pattern recognition in Keras? This is my first time using netcdf in R, where should I start? Kindly help, Thank you..
If this is a single latitude and longitude, I can convert the data into ".txt" file and do the Boolean test in R. But this checking need to look at 6 hourly data for 30 days in a certain range of coordinate. Let say I have a box of coordinate, (long = 90 E : 130.5 E and lat = 4.50 S : 15 N).
My idea is that the checking element-wise will looping in a range of latitude and longitude for each 6 hourly on each days, and then the result will be save as logical operator (yes/no @ 0101). Is this possible, or this can simply achieved using pattern recognition in Keras? This is my first time using netcdf in R, where should I start? Kindly help, Thank you..
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