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处理ERA5-land的2米气温数据过程中发现ismissing()无法识别出海上区域的缺失值,请问有什么方法能让程序判断出来是缺失?变量属性和简单测试如下。
ncl 37> printVarSummary(t)
Variable: t
Type: float
Total Size: 602640 bytes
150660 values
Number of Dimensions: 3
Dimensions and sizes: [time | 30] x [lat | 54] x [lon | 93]
Coordinates:
time: [0..29]
lat: [ 15..54.75]
lon: [70.5..139.5]
Number Of Attributes: 8
_FillValue : nan
long_name : 2 metre temperature
units : K
standard_name : air_temperature
comment : near-surface (usually, 2 meter) air temperature
cds_magics_style_name : near-surface-air-temperature
type : real
coordinates : realization
ncl 2> print(t(0,53,92))
Variable: t (subsection)
Type: float
Total Size: 4 bytes
1 values
Number of Dimensions: 1
Dimensions and sizes: [1]
Coordinates:
Number Of Attributes: 11
lon : 139.5
lat : 54.75
time : 0
coordinates : realization
type : real
cds_magics_style_name : near-surface-air-temperature
comment : near-surface (usually, 2 meter) air temperature
standard_name : air_temperature
units : K
long_name : 2 metre temperature
_FillValue : nan
(0) nan
ncl 26> print(ismissing(t(0,53,92)))
(0) False
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