netcdf4_pydap 0.2.6

ESGF

1. 在https://pcmdi.llnl.gov/user/add/?next=https://pcmdi.llnl.gov/projects/esgf-llnl/注册。注册时，您将创建一个密码并收到一个openid。

2. 转到https://pcmdi.llnl.gov/esg-orp/home.htm并使用您的openid使用您的密码登录。

3. 转到https://pcmdi.llnl.gov/esg-orp/registration-request.htm?resource=http%3A%2F%2Fpcmdi.llnl.gov%2Fthredds%2FfileServer%2Fesg_testroot%2Fregister%2Fcmip5_research.nc。您的浏览器可能会要求您信任某些证书。单击始终允许。如果你不这样做，它就行不通。

4. 注册CMIP5 研究。您无需下载数据。

5. 连接到 OPeNDAP 链接如下：

   import matplotlib.pyplot as plt
   import numpy as np
   
   import netcdf4_pydap
   import netcdf4_pydap.cas.esgf as esgf
   openid = YOUROPENID
   password = YOURPASSWORD
   
   credentials={
                 'password' : password,
                 'authentication_url' : esgf._uri(openid)}
   
   url = ('http://cordexesg.dmi.dk/thredds/dodsC/cordex_general/cordex/'
          'output/EUR-11/DMI/ICHEC-EC-EARTH/historical/r3i1p1/DMI-HIRHAM5/'
          'v1/day/pr/v20131119/'
          'pr_EUR-11_ICHEC-EC-EARTH_historical_r3i1p1_DMI-HIRHAM5_v1_day_19960101-20001231.nc')
   
   with netcdf4_pydap.Dataset(url,**credentials) as dataset:
       data = dataset.variables['pr'][0,:,:]
       plt.contourf(np.squeeze(data))
       plt.show()

6. 如果使用https://ceda.ac.uk而不是https://pcmdi.llnl.gov，则您的用户名必须与您的凭据一起使用：

   credentials={
                 'username' : YOURCEDAUSERNAME,
                 'password' : password,
                 'authentication_url' : esgf._uri(openid)}

URS NASA 地球数据

连接到 NASA Earthdata 需要几个步骤：

1. 在https://urs.earthdata.nasa.gov创建一个帐户

2. 授权数据以查看您的个人资料（NASA 将其称为添加应用程序，例如 Facebook）。关注http://disc.sci.gsfc.nasa.gov/registration/authorizing-desidsc-data-access-in-earthdata_login

3. 加载 OPeNDAP 数据：

   import matplotlib.pyplot as plt
   import numpy as np
   import netcdf4_pydap
   
   credentials={'username': YOURUSERNAME,
                'password': YOURPASSWORD,
                'authentication_url':'https://urs.earthdata.nasa.gov/'}
   url = ('http://goldsmr3.gesdisc.eosdis.nasa.gov:80/opendap/'
          'MERRA_MONTHLY/MAIMCPASM.5.2.0/1979/MERRA100.prod.assim.instM_3d_asm_Cp.197901.hdf')
   
   with netcdf4_pydap.Dataset(url, **credentials) as dataset:
       data = dataset.variables['SLP'][0,:,:]
       plt.contourf(np.squeeze(data))
       plt.show()