您必须遍历 GRIB 文件并找到所需的记录,然后获取数据,如下所示:
for g in grbs:
print g.shortName, g.typeOfLevel, g.level # print info about all GRIB records and check names
if (g.shortName == shortName and g.typeOfLevel == typeOfLevel and g.level == level):
tmp = np.array(g.values)
# now work with tmp as numpy array
要获取 lat 和 lon 数组,请使用:lt, ln = g.latlons()
, g
- 的元素grbs
。
在https://software.ecmwf.int/wiki/display/GRIB/GRIB+API+examples阅读 Python 部分中的示例(pygrib 使用此库来阅读 GRIB)。
从大型 GRIB 文件中获取数据的最快方法是创建索引:
# use attributes what you want to build index
indx = pygrib.index(gribfile,'typeOfLevel','level','parameterName')
# important: msg is an array and may have more then one record
# get U wind component on 10 m above ground
msg = indx.select(level = 10, typeOfLevel = "heightAboveGround",
parameterName = "U U-component of wind m s**-1")
u10 = np.array(msg[0].values)
# get V wind component on 10 m above ground
msg = indx.select(level = 10, typeOfLevel = "heightAboveGround",
parameterName = "V V-component of wind m s**-1")
v10 = np.array(msg[0].values)