Initial commit

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%matplotlib inline

```

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## Load required modules

import numpy as np

import matplotlib.pyplot as plt

import xarray as xr

```

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## Load data

figdir="/gfs1/work/shkpwagn/ARIANE/VIKING20-K301_Turtle/FIGURES/"

outfile="/gfs1/work/shkpwagn/ARIANE/VIKING20-K301_Turtle/DATA/GB_arrival.nc"

ts=[]

ts_clim=[]

year1=1960

year2=1961#2007

for year in np.arange(year1,year2+1):

    dir="/gfs1/work/shkpwagn/ARIANE/VIKING20-K301_Turtle/DATA/GS-"+str(year)+"/ariane_trajectories_qualitative_GB_initt.nc"

    data=xr.open_dataset(dir)

    print(data)

    dummy=((year-1948)*365+(data['ts_gb']+data['init_t'])*5)

    ts=np.append(ts,dummy.values)

    dummy=(data['ts_gb']+data['init_t'])*5

    dummy[dummy>730]=dummy[dummy>730]-730

    dummy[dummy>365]=dummy[dummy>365]-365

    ts_clim=np.append(ts_clim,dummy.values)

    print(ts_clim.shape)

year=(ts/365).astype(int)+1948

```

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``` 

## Plot

fig,ax=plt.subplots(2,1)

out="gb_arrival.pdf"

yebin=np.arange(year.min()-0.5,year.max()+1.5)

mdays=[0,31,28,31,30,31,30,31,31,30,31,30,31]

mlabel=['Jan','Feb','Mar','Arp','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec',]

mobin=np.cumsum(mdays)

nyears, bins, patches=ax[0].hist(year,yebin)

nmonth, bins, patches=ax[1].hist(ts_clim,mobin)

cbin=bins[1:]-np.asarray(mdays[1:])/2

ax[1].set_xticks(cbin)

ax[1].set_xticklabels(mlabel, fontsize=12)

ax[0].set_ylabel('Floats')

ax[1].set_ylabel('Floats')

plt.savefig(figdir+out)

```

%% Output

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``` 

## Save to file

dataout=xr.Dataset({'count': (['year'], nyears), 'count_clim': (['month'],nmonth)},

                   coords={'year': np.arange(year.min(),year.max()+1)})

dataout.to_netcdf(path=outfile)

```