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Fixed sst script, leap year handling, proper range, sigma calc

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This commit is contained in:
Muaz Ahmad 2023-08-02 12:08:51 +05:00
parent 82a44afa96
commit 8a261f8174
1 changed files with 17 additions and 14 deletions
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31
python_scripts/arc_sst_anom.py
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@ -3,22 +3,25 @@ import matplotlib.pyplot as plt
import numpy, pandas
import requests
res = requests.get('https://climatereanalyzer.org/clim/sst_daily/json/oisst2.1_world2_sst_day.json')
if res.status_code == 200:
data = json.loads(res.text)
start_range = 29
start_year = 1982
res = requests.get('https://climatereanalyzer.org/clim/sst_daily/json/oisst2.1_natlan1_sst_day.json')
data = json.loads(res.text)
data = data[1:-3]
data = data[:-3] # remove final three cols (avg and sds)
temps = numpy.array([i['data'] for i in data], numpy.float32).T
cols = [i['name'] for i in data]
temps = numpy.array([i['data'] for i in data], numpy.float32).T
cols = [i['name'] for i in data]
df = pandas.DataFrame(temps, columns = cols)
diffs = pandas.DataFrame(columns = cols, dtype=numpy.float32)
for col in cols[20:]:
i = cols.index(col)
means = df[df.columns[0:20]].mean(axis=1) # 1981 - 2001 mean sst
diffs[col] = df[col] - means
series = diffs.melt().drop('variable', axis=1)
mean = df[df.columns[:start_range + 1]].mean(axis=1)
sd = df[df.columns[:start_range + 1]].std(axis=1)
diffs = pandas.DataFrame(columns = cols, dtype=numpy.float32)
for col in cols[start_range:]:
if int(col) % 4 != 0:
df[col].iloc[60:] = df[col].iloc[60:].shift(1)
i = cols.index(col)
diffs[col] = (df[col] - mean) / sd
series = diffs.melt().drop('variable', axis=1)
series.plot(figsize=(20,5))
plt.xticks(numpy.arange(0,len(series),366)[20:], (numpy.arange(0, len(series), 366)[20:] / 366 + 1981).astype(int))
plt.xticks(numpy.arange(0,len(series),366)[start_range+1:], (numpy.arange(0, len(series), 366)[start_range+1:] / 366 + start_year).astype(int)) # fix labels
plt.show()