import xarray as xr import numpy as np import pandas as pd # === 文件路径 === swe_path = 'E:/1961-2020_swe_mm/ten_year/clip/1961-1970_clip.nc' rain_path = 'F:/gldas_10year_0.1_sep/clip/1961-1970_clip.nc' output_path = 'E:/RP_melt/rp_melt_month/1961-1970_rp_melt_month.nc' # === 加载 SWE 数据 === ds_swe = xr.open_dataset(swe_path) swe = ds_swe['sd_mm'] # 实际变量名 swe = swe.rename({'valid_time': 'time'}) swe['time'] = pd.to_datetime(swe.time.values) # === 加载降水数据 === ds_rain = xr.open_dataset(rain_path) ra
这种情况可能是由于数据本身的特点、处理逻辑或者代码中的某些条件导致的。有可能是原始数据在除 1 月外的其他月份就没有有效的融雪量数据，或者在计算和处理过程中，某些条件限制导致其他月份被判定为空值。您可以检查一下原始数据的完整性和处理过程中的逻辑是否合理。 [2025-05-07 12:37:09 | AI问答 | 78点数解答]
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