Created
September 21, 2016 07:28
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import xarray | |
import numpy | |
from scipy.interpolate import RectBivariateSpline | |
data = xarray.open_mfdataset('/g/data1/v45/APE-MOM/gfdl_nyf_1080_cp/output539/ocean__539_00*.nc', decode_cf=False) | |
# Bouy locations | |
bouy = { | |
'lat': [-58.239, -57.916, -57.612, -57.513, -57.321, -56.897, -56.484, -56.058], | |
'lon': [82.001, 82.228, 82.381, 82.523, 82.779, 83.305, 83.770, 84.261], | |
} | |
# Get a subset of the data around the bouy locations | |
u = data['u'].sel(xu_ocean=slice(-60.0,-55.0), yu_ocean=slice(80.0,90.0)) | |
v = data['v'].sel(xu_ocean=slice(-60.0,-55.0), yu_ocean=slice(80.0,90.0)) | |
print(u) | |
# Interpolate u and v to the bouy locations | |
bouy['u'] = numpy.zeros((u.shape[0],u.shape[1],len(bouy['lat']))) | |
bouy['v'] = numpy.zeros((v.shape[0],v.shape[1],len(bouy['lat']))) | |
for ti in range(u.shape[0]): | |
for zi in range(u.shape[1]): | |
bouy['u'][ti,zi,:] = RectBivariateSpline( | |
u['yu_ocean'], u['xu_ocean'], u[ti,zi,:,:], | |
kx=1, ky=1, | |
).ev(bouy['lon'], bouy['lat']) | |
bouy['v'][ti,zi,:] = RectBivariateSpline( | |
v['yu_ocean'], v['xu_ocean'], v[ti,zi,:,:], | |
kx=1, ky=1, | |
).ev(bouy['lon'], bouy['lat']) | |
print(zi) | |
print(ti) | |
print(bouy['u']) |
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