CPC Unified Gauge-Based Analysis of Daily Precipitation over CONUS at PSD

  1. main
  2. obs
  3. gridded
  4. atm
  5. precip
  6. CPC Unified Gauge-Based Analysis of Daily Precipitation over CONUS at PSD

Load in Python

from intake import open_catalog

cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/cpc-precip-conus_daily.yaml")
ds=cat.netcdf.read()

Metadata

title CPC Unified Gauge-Based Analysis of Daily Precipitation over CONUS at PSD
location /shared/obs/gridded/CPC-PRECIP-CONUS
tags gridded,obs,atm,precip,conus,daily
catalog_dir https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/cpc-precip-conus_daily.yaml
last updated 2020-06-13

Dataset Contents

Show/Hide data repr Show/Hide attributes
xarray.Dataset
    • lat: 120
    • lon: 300
    • time: 21550
    • lon
      (lon)
      float32
      230.125 230.375 ... 304.625 304.875
      units :
      degrees_east
      long_name :
      Longitude
      actual_range :
      [230.125 304.875]
      standard_name :
      longitude
      axis :
      X
      array([230.125, 230.375, 230.625, ..., 304.375, 304.625, 304.875],
      dtype=float32)
    • lat
      (lat)
      float32
      20.125 20.375 ... 49.625 49.875
      units :
      degrees_north
      long_name :
      Latitude
      actual_range :
      [20.125 49.875]
      standard_name :
      latitude
      axis :
      Y
      array([20.125, 20.375, 20.625, 20.875, 21.125, 21.375, 21.625, 21.875, 22.125,
       22.375, 22.625, 22.875, 23.125, 23.375, 23.625, 23.875, 24.125, 24.375,
       24.625, 24.875, 25.125, 25.375, 25.625, 25.875, 26.125, 26.375, 26.625,
       26.875, 27.125, 27.375, 27.625, 27.875, 28.125, 28.375, 28.625, 28.875,
       29.125, 29.375, 29.625, 29.875, 30.125, 30.375, 30.625, 30.875, 31.125,
       31.375, 31.625, 31.875, 32.125, 32.375, 32.625, 32.875, 33.125, 33.375,
       33.625, 33.875, 34.125, 34.375, 34.625, 34.875, 35.125, 35.375, 35.625,
       35.875, 36.125, 36.375, 36.625, 36.875, 37.125, 37.375, 37.625, 37.875,
       38.125, 38.375, 38.625, 38.875, 39.125, 39.375, 39.625, 39.875, 40.125,
       40.375, 40.625, 40.875, 41.125, 41.375, 41.625, 41.875, 42.125, 42.375,
       42.625, 42.875, 43.125, 43.375, 43.625, 43.875, 44.125, 44.375, 44.625,
       44.875, 45.125, 45.375, 45.625, 45.875, 46.125, 46.375, 46.625, 46.875,
       47.125, 47.375, 47.625, 47.875, 48.125, 48.375, 48.625, 48.875, 49.125,
       49.375, 49.625, 49.875], dtype=float32)
    • time
      (time)
      datetime64[ns]
      1948-01-01 ... 2006-12-31
      long_name :
      Time
      delta_t :
      0000-00-01 00:00:00
      avg_period :
      0000-00-01 00:00:00
      standard_name :
      time
      axis :
      T
      array(['1948-01-01T00:00:00.000000000', '1948-01-02T00:00:00.000000000',
       '1948-01-03T00:00:00.000000000', ..., '2006-12-29T00:00:00.000000000',
       '2006-12-30T00:00:00.000000000', '2006-12-31T00:00:00.000000000'],
      dtype='datetime64[ns]')
    • precip
      (time, lat, lon)
      float32
      dask.array<chunksize=(366, 120, 300), meta=np.ndarray>
      long_name :
      Daily Accumulated Precipitation
      valid_range :
      [ 0. 400.]
      units :
      mm
      precision :
      2
      var_desc :
      Precipitation
      dataset :
      CPC Unified Gauge-Based Analysis of Daily Precipitation over CONUS
      level_desc :
      Surface
      statistic :
      Daily Accumulation
      parent_stat :
      Observation
      actual_range :
      [ 0. 285.34528]
      

      


      
  
    
        Array  Chunk 
      
        
  
    
       Bytes  3.10 GB   52.70 MB 
      
    
       Shape  (21550, 120, 300)   (366, 120, 300) 
      
    
       Count  177 Tasks  59 Chunks 
      
    
       Type  float32  numpy.ndarray 
      
        

      
      		



  
  
  

  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  

  
  

  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  
  

  
  
  

  
  

  
  
  

  
  
  

  
  

  
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  21550
  • title :
    CPC Unified Gauge-Based Analysis of Daily Precipitation over CONUS at PSD
    Conventions :
    COARDS
    description :
    Gridded daily Precipitation
    platform :
    Observations
    Comments :
    Preciptation is accumulated from 12z of previous day to 12z of day stored
    history :
    originally created V1.0 starting 04/2010 by CAS from data obtained from NCEP/CPC converted to unpacked chunked netCDF4 Aug 2014
    dataset_title :
    CPC Unified Gauge-Based Analysis of Daily Precipitation over CONUS
    References :
    http://www.psl.noaa.gov/data/gridded/data.unified.daily.conus.html