CPC Unified Gauge-Based Analysis of Daily Precipitation over CONUS at PSD: Monthly Values
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_monthly.yaml")
ds=cat.netcdf.read()
Metadata
title | CPC Unified Gauge-Based Analysis of Daily Precipitation over CONUS at PSD: Monthly Values |
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_monthly.yaml |
updated on |
Dataset Contents
xarray.Dataset
- lat: 120
- lon: 300
- time: 846
- lat(lat)float3220.125 20.375 ... 49.625 49.875
- units :
- degrees_north
- long_name :
- Latitude
- actual_range :
- [20.125 49.875]
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)
- lon(lon)float32230.125 230.375 ... 304.625 304.875
- units :
- degrees_east
- long_name :
- Longitude
- actual_range :
- [230.125 304.875]
array([230.125, 230.375, 230.625, ..., 304.375, 304.625, 304.875], dtype=float32)
- time(time)datetime64[ns]1948-01-01 ... 2018-06-01
- long_name :
- Time
- delta_t :
- 0000-01-00 00:00:00
- avg_period :
- 0000-01-00 00:00:00
- actual_range :
- [2173896. 2791152.]
array(['1948-01-01T00:00:00.000000000', '1948-02-01T00:00:00.000000000', '1948-03-01T00:00:00.000000000', ..., '2018-04-01T00:00:00.000000000', '2018-05-01T00:00:00.000000000', '2018-06-01T00:00:00.000000000'], dtype='datetime64[ns]')
- precip(time, lat, lon)float32...
- long_name :
- Monthly Average of Daily Accumulated Precipitation
- units :
- mm/day
- precision :
- 2
- var_desc :
- Precipitation
- dataset :
- CPC Unified Gauge-Based Analysis of Daily Precipitation over CONUS
- level_desc :
- Surface
- statistic :
- Monthly Mean
- parent_stat :
- Observation
- valid_range :
- [ 0. 350.]
- actual_range :
- [ 0. 63.015995]
[30456000 values with dtype=float32]
- title :
- CPC Unified Gauge-Based Analysis of Daily Precipitation over CONUS at PSD: Monthly Values
- Conventions :
- COARDS
- history :
- created 05/2012 by CAS from data obtained at NOAA NCEP/CPC
- description :
- CPC Unified Gauge-Based Analysis of Daily Precipitation over CONUS at PSD: Gridded Monthly Values. Monthly Values after 2006 are from the real time files (RT)
- platform :
- Observations
- Comments :
- Preciptation is accumulated from 12z of previous day to 12z of day stored
- 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