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Description
using the following codes, I can remove offsets and obtain ice ablation results
JAR_O
From maintenance sheets…2024 08 19 438.5 cm, 2025 08 20 318 cm Difference: 438.5-318 = 120.5 … makes sense
From daily stake SR50 data: no result as SR50 was out
SWC_O
From maintenance sheets…2024 08 20 182 cm, 2025 08 20 437 cm Difference: 437-182 = 255 … seems too high, subtracting 2 m makes more sense, i.e. 55 cm ablation
From daily stake SR50 data: end of melt season (EOMS) 2024 to EOMS 2025 = 0.565 m
average of the two: 0.558 m ice ablation
if site=='JAR':
df.loc['2024-08-20':, 'temp'] += 2.451
df.loc['2023-09-19':, 'temp'] -= 0.9852
print(df.loc['2023-08-10':'2023-11-10', 'temp'].max())
print(df.loc['2024-08-1':'2024-11-10', 'temp'].max())
if site=='SWC':
df.loc['2024-08-27', 'temp'] =np.nan
df.loc['2025-08-20':, 'temp'] += 2.01
df.loc['2025-08-20':, 'temp'] =np.nan
df.loc['2024-08-24', 'temp']
# df.loc['2023-09-19':, 'temp'] -= 0.9852
print(df.loc['2024-08-10':'2024-08-30', 'temp'].max())
print(df.loc['2025-08-1':'2025-08-25', 'temp'].max())```
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