python中的netCDF4批量处理NC文件的操作方法

from netCDF4 import Dataset,num2date
infile = "../01Data/Runoff1992-2014/GRUN_v1_GSWP3_WGS84_05_1902_2014.nc"
data_set = Dataset(infile) # 读取nc文件信息
print(data_set)

from osgeo import gdal
from netCDF4 import Dataset,num2date
import numpy as np

def WriteTiff(im_data,inputdir, path):
    raster = gdal.Open(inputdir)
    im_width = raster.RasterXSize #栅格矩阵的列数
    im_height = raster.RasterYSize #栅格矩阵的行数
    im_bands = raster.RasterCount #波段数
    im_geotrans = raster.GetGeoTransform()#获取仿射矩阵信息
    im_proj = raster.GetProjection()#获取投影信息
    
    if 'int8' in im_data.dtype.name:
        datatype = gdal.GDT_Byte
    elif 'int16' in im_data.dtype.name:
        datatype = gdal.GDT_UInt16
    else:
        datatype = gdal.GDT_Float32
    if len(im_data.shape) == 3:
        im_bands, im_height, im_width = im_data.shape
    elif len(im_data.shape) == 2:
        im_data = np.array([im_data])
        im_bands, (im_height, im_width) = 1, im_data.shape
        # 创建文件
    driver = gdal.GetDriverByName("GTiff")
    dataset = driver.Create(path, im_width, im_height, im_bands, datatype)
    if (dataset != None):
        dataset.SetGeoTransform(im_geotrans)  # 写入仿射变换参数
        dataset.SetProjection(im_proj)  # 写入投影
    for i in range(im_bands):
        dataset.GetRasterBand(i + 1).WriteArray(im_data[i])
    del dataset
infile = "../01Data/Runoff1992-2014/GRUN_v1_GSWP3_WGS84_05_1902_2014.nc"
data_set = Dataset(infile) # 读取nc文件信息
time = data_set.variables["time"][:]  # 获取时间一列
units = data_set.variables["time"].units # 获取第一期时间
#读取样本tif文件的地理信息
intif = "../03ProcessData/runoff_example.tif"
for i in range(0,len(time)):
    yr = num2date(time[i],units).year # 提取年份
    mon = num2date(time[i],units).month    # 提取月份
    value_data = data_set.variables['Runoff'][i]
    # 将缺失值改为0
    data = value_data.data
    mask = value_data.mask
    data[np.where(mask == True)] = 0
    outputname = "../01Data/Runoff1992-2014/tif/" + str(yr) + str(mon).zfill(2) + ".tif"
    WriteTiff(data,intif , outputname)
    print(outputname)