hydro_opendata.stac.mini模块¶

用于从minio中获取数据集范围

数据准备¶

In [1]:

from hydro_opendata.catalog.minio import ERA5LCatalog, GPMCatalog, GFSCatalog
import geopandas as gpd

from hydro_opendata.catalog.minio import ERA5LCatalog, GPMCatalog, GFSCatalog import geopandas as gpd

In [2]:

aoi = gpd.read_file('basin.geojson')
aoi

aoi = gpd.read_file('basin.geojson') aoi

Out[2]:

	id	geometry
0	0	MULTIPOLYGON (((122.44241 39.80139, 122.39342 ...

获取era5数据清单¶

In [3]:

era5 = ERA5LCatalog()
era5.datasets

era5 = ERA5LCatalog() era5.datasets

Out[3]:

{'wis': {'start_time': numpy.datetime64('2015-07-01T00:00:00'),
  'end_time': numpy.datetime64('2021-12-31T23:00:00'),
  'bbox': [115, 38, 136, 54]}}

In [4]:

e = era5.search(aoi=aoi)
e

e = era5.search(aoi=aoi) e

Out[4]:

	id	dataset	start_time	end_time	geometry
0	era5-land	wis	2015-07-01T00:00:00	2021-12-31T23:00:00	POLYGON ((122.39342 39.81027, 122.31744 39.833...

获取gpm数据清单¶

In [5]:

gpm = GPMCatalog()
gpm.datasets

gpm = GPMCatalog() gpm.datasets

Out[5]:

{'wis': [{'time_resolution': '30 minutes',
   'start_time': numpy.datetime64('2016-01-01T00:00:00.000000000'),
   'end_time': numpy.datetime64('2023-10-11T08:30:00.000000000'),
   'bbox': [73, 3, 136, 54]},
  {'time_resolution': '1 day',
   'start_time': numpy.datetime64('2000-06-01T00:00:00.000000000'),
   'end_time': numpy.datetime64('2023-09-26T23:59:59.000000000'),
   'bbox': [73, 3, 136, 54]}],
 'camels': [{'time_resolution': '30 minutes',
   'start_time': numpy.datetime64('2022-01-01T00:00:00.000000000'),
   'end_time': numpy.datetime64('2023-08-31T23:30:00.000000000'),
   'bbox': [-125, 25, -66, 50]},
  {'time_resolution': '1 day',
   'start_time': numpy.datetime64('2000-06-01T00:00:00.000000000'),
   'end_time': numpy.datetime64('2014-12-31T23:59:59.000000000'),
   'bbox': [-125, 25, -66, 50]}]}

In [6]:

g = gpm.search(aoi=aoi)
g

g = gpm.search(aoi=aoi) g

Out[6]:

	id	dataset	time_resolution	start_time	end_time	geometry
0	gpm-imerg-early	wis	30 minutes	2016-01-01T00:00:00.000000000	2023-10-11T08:30:00.000000000	POLYGON ((122.39342 39.81027, 122.31744 39.833...
0	gpm-imerg-early	wis	1 day	2000-06-01T00:00:00.000000000	2023-09-26T23:59:59.000000000	POLYGON ((122.39342 39.81027, 122.31744 39.833...

获取gfs数据清单¶

In [7]:

gfs = GFSCatalog('tp')
gfs.datasets

gfs = GFSCatalog('tp') gfs.datasets

Out[7]:

{'wis': [{'start': '2016-07-10T00',
   'end': '2022-08-31T18',
   'bbox': [115, 38, 136, 54]},
  {'start': '2022-09-01T00',
   'end': '2023-10-11T06',
   'bbox': [73, 3, 136, 54]}]}

In [8]:

f = gfs.search(aoi=aoi)
f

f = gfs.search(aoi=aoi) f

Out[8]:

	id	dataset	start_time	end_time	geometry
0	gfs_atmos.tp	wis	2016-07-10T00	2022-08-31T18	POLYGON ((122.39342 39.81027, 122.31744 39.833...
0	gfs_atmos.tp	wis	2022-09-01T00	2023-10-11T06	POLYGON ((122.39342 39.81027, 122.31744 39.833...

---

Last update: 2023-10-22