Downloader¶

下载alos30数据¶

In [1]:

from hydro_opendata.downloader.dem import Alos_DEM
dem = Alos_DEM()

from hydro_opendata.downloader.dem import Alos_DEM dem = Alos_DEM()

In [2]:

dem.list_sources()   # 查看stac源

dem.list_sources() # 查看stac源

Out[2]:

{'microsoft': {'url': 'https://planetarycomputer.microsoft.com/api/stac/v1/',
  'collection_name': 'alos-dem'}}

In [3]:

source_name = 'gee'
url = 'https://storage.googleapis.com/earthengine-stac/catalog/JAXA/catalog.json'
collection_name = 'JAXA_ALOS_AW3D30_V3_2'
dem.add_source(source_name=source_name, url=url, collection_name=collection_name)  # 自定义stac源

source_name = 'gee' url = 'https://storage.googleapis.com/earthengine-stac/catalog/JAXA/catalog.json' collection_name = 'JAXA_ALOS_AW3D30_V3_2' dem.add_source(source_name=source_name, url=url, collection_name=collection_name) # 自定义stac源

Out[3]:

{'gee': {'url': 'https://storage.googleapis.com/earthengine-stac/catalog/JAXA/catalog.json',
  'collection_name': 'JAXA_ALOS_AW3D30_V3_2'}}

In [4]:

dem.list_sources()

dem.list_sources()

Out[4]:

{'microsoft': {'url': 'https://planetarycomputer.microsoft.com/api/stac/v1/',
  'collection_name': 'alos-dem'},
 'gee': {'url': 'https://storage.googleapis.com/earthengine-stac/catalog/JAXA/catalog.json',
  'collection_name': 'JAXA_ALOS_AW3D30_V3_2'}}

通过四至范围获取dem链接

In [5]:

hrefs = dem.search(bbox=[121,38,121.5,39])
hrefs

hrefs = dem.search(bbox=[121,38,121.5,39]) hrefs

Out[5]:

['https://ai4edataeuwest.blob.core.windows.net/alos-dem/AW3D30_global/ALPSMLC30_N039E121_DSM.tif',
 'https://ai4edataeuwest.blob.core.windows.net/alos-dem/AW3D30_global/ALPSMLC30_N038E121_DSM.tif',
 'https://ai4edataeuwest.blob.core.windows.net/alos-dem/AW3D30_global/ALPSMLC30_N038E120_DSM.tif',
 'https://ai4edataeuwest.blob.core.windows.net/alos-dem/AW3D30_global/ALPSMLC30_N037E121_DSM.tif',
 'https://ai4edataeuwest.blob.core.windows.net/alos-dem/AW3D30_global/ALPSMLC30_N037E120_DSM.tif']

下载nfs数据¶

In [6]:

from hydro_opendata.downloader import ncep_gfs

from hydro_opendata.downloader import ncep_gfs

In [7]:

# 通过日期、时间、预测序列及范围下载10天内的gfs数据
ncep_gfs.get_gfs_from_ncep(date='20230825',creation_time='06',forecast_time=120,bbox=[115,38,136,54])

# 通过日期、时间、预测序列及范围下载10天内的gfs数据 ncep_gfs.get_gfs_from_ncep(date='20230825',creation_time='06',forecast_time=120,bbox=[115,38,136,54])

下载文件 ./gfs20230825.t06z.pgrb2.0p25.f120: 99806it [00:00, 224518.59it/s]

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Last update: 2023-08-31