海面温度 NetCDF4 输入 z 必须是 2D，而不是 3D

Question

我正在尝试在地图上绘制最近的海面温度数据。当我下载 netCDF4 文件时，它可以正常工作，但是当我尝试从 https://www.ncei.noaa.gov/thredds/, I get a TypeError saying, "Input z must be 2D, not 3D". The downloaded file I used originally was from: https://psl.noaa.gov/ 访问该文件时，这是我所拥有的：

from netCDF4 import Dataset as netcdf_dataset
from datetime import datetime, timedelta

import matplotlib.pyplot as plt
import cartopy.crs as ccrs
import cartopy.feature as cfeature
from mpl_toolkits.axes_grid1.inset_locator import inset_axes

from siphon.catalog import TDSCatalog
from xarray.backends import NetCDF4DataStore
import xarray as xr

# Catalog only has data from day before so must use timedelta(days=1)
today = datetime.utcnow()
date = datetime(today.year, today.month, today.day, 12) - timedelta(days=1)


base_url = 'https://www.ncei.noaa.gov/thredds/catalog/OisstBase/NetCDF/V2.1/AVHRR/'
cat = TDSCatalog(f'{base_url}{date:%Y%m}/catalog.xml')
ncss = cat.datasets[f'oisst-avhrr-v02r01.{date:%Y%m%d}_preliminary.nc'].subset()

query = ncss.query()
query.time(date)
query.lonlat_box(north=31, south=20, east=283, west=262)
query.accept('netcdf')
query.variables('sst')

data = ncss.get_data(query)
ds = xr.open_dataset(NetCDF4DataStore(data))

sst = ds.variables['sst'][0, :,:]
lats = ds.variables['lat'][:]
lons = ds.variables['lon'][:]

fig = plt.figure(figsize=(15,10))
ax = fig.add_subplot(111, projection=ccrs.PlateCarree())

# TypeError occurs here
sst_contour = ax.contourf(lons, lats, sst, levels=np.arange(0,34,2), cmap='turbo',
                          vmin=0, vmax=38, transform=ccrs.PlateCarree())
isotherm_contour = ax.contour(lons, lats, sst, levels=[27], colors='black', linestyle='--',
                              transform=ccrs.PlateCarree())

这是我的工作版本使用从 https://psl.noaa.gov/. Any input on what I'm doing wrong here would be greatly appreciated:

下载的文件的样子

Answer 1

我在从数据集中拉取数据时没有考虑zlev。改变

sst = ds.variables['sst'][0,:,:]

以下修正了我的错误

sst = ds.variables['sst'][0,0,:,:]

海面温度 NetCDF4 输入 z 必须是 2D，而不是 3D

Sea Surface Temperature NetCDF4 Input z must be 2D, not 3D

cartopy

python-xarray

netcdf4

python-siphon