CERES SYN1deg Daily data
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/CERES_SYN1deg-Day_Terra-Aqua-MODIS.yaml")
ds=cat.netcdf.read()Metadata
| title | CERES SYN1deg Daily data |
| location | /shared/land/CERES/Terra-Aqua-MODIS |
| tags | land |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/CERES_SYN1deg-Day_Terra-Aqua-MODIS.yaml |
| last updated | 2020-07-08 |
Dataset Contents
<xarray.Dataset>
Dimensions: (lat: 180, lon: 360, time: 7276)
Coordinates:
* lon (lon) float32 0.5 1.5 ... 358.5 359.5
* lat (lat) float32 -89.5 -88.5 ... 88.5 89.5
* time (time) float64 0.5 1.5 ... 7.276e+03
Data variables:
adj_atmos_sw_up_all_surface_daily (time, lat, lon) float32 dask.array<chunksize=(31, 180, 360), meta=np.ndarray>
adj_atmos_sw_down_all_surface_daily (time, lat, lon) float32 dask.array<chunksize=(31, 180, 360), meta=np.ndarray>
adj_atmos_lw_up_all_surface_daily (time, lat, lon) float32 dask.array<chunksize=(31, 180, 360), meta=np.ndarray>
adj_atmos_lw_down_all_surface_daily (time, lat, lon) float32 dask.array<chunksize=(31, 180, 360), meta=np.ndarray>
Attributes:
CDI: Climate Data Interface version 1.8.2 (http://mpimet.mpg.de/...
history: Wed Jul 08 09:24:05 2020: cdo -f nc4 -z zip_1 splityearmon ...
institution: NASA Langley Research Center
Conventions: CF-1.4
title: CERES SYN1deg Daily data
comment:
Version: Edition 4.1: Release Date August 22, 2019
DOI: 10.5067/Terra+Aqua/CERES/SYN1degDay_L3.004A
Fill_Value: Fill Value is -999.0
CDO: Climate Data Operators version 1.8.2 (http://mpimet.mpg.de/...xarray.Dataset
- lat: 180
- lon: 360
- time: 7276
- lon(lon)float320.5 1.5 2.5 ... 357.5 358.5 359.5
- standard_name :
- longitude
- long_name :
- longitude
- units :
- degrees_east
- axis :
- X
array([ 0.5, 1.5, 2.5, ..., 357.5, 358.5, 359.5], dtype=float32)
- lat(lat)float32-89.5 -88.5 -87.5 ... 88.5 89.5
- standard_name :
- latitude
- long_name :
- latitude
- units :
- degrees_north
- axis :
- Y
array([-89.5, -88.5, -87.5, -86.5, -85.5, -84.5, -83.5, -82.5, -81.5, -80.5, -79.5, -78.5, -77.5, -76.5, -75.5, -74.5, -73.5, -72.5, -71.5, -70.5, -69.5, -68.5, -67.5, -66.5, -65.5, -64.5, -63.5, -62.5, -61.5, -60.5, -59.5, -58.5, -57.5, -56.5, -55.5, -54.5, -53.5, -52.5, -51.5, -50.5, -49.5, -48.5, -47.5, -46.5, -45.5, -44.5, -43.5, -42.5, -41.5, -40.5, -39.5, -38.5, -37.5, -36.5, -35.5, -34.5, -33.5, -32.5, -31.5, -30.5, -29.5, -28.5, -27.5, -26.5, -25.5, -24.5, -23.5, -22.5, -21.5, -20.5, -19.5, -18.5, -17.5, -16.5, -15.5, -14.5, -13.5, -12.5, -11.5, -10.5, -9.5, -8.5, -7.5, -6.5, -5.5, -4.5, -3.5, -2.5, -1.5, -0.5, 0.5, 1.5, 2.5, 3.5, 4.5, 5.5, 6.5, 7.5, 8.5, 9.5, 10.5, 11.5, 12.5, 13.5, 14.5, 15.5, 16.5, 17.5, 18.5, 19.5, 20.5, 21.5, 22.5, 23.5, 24.5, 25.5, 26.5, 27.5, 28.5, 29.5, 30.5, 31.5, 32.5, 33.5, 34.5, 35.5, 36.5, 37.5, 38.5, 39.5, 40.5, 41.5, 42.5, 43.5, 44.5, 45.5, 46.5, 47.5, 48.5, 49.5, 50.5, 51.5, 52.5, 53.5, 54.5, 55.5, 56.5, 57.5, 58.5, 59.5, 60.5, 61.5, 62.5, 63.5, 64.5, 65.5, 66.5, 67.5, 68.5, 69.5, 70.5, 71.5, 72.5, 73.5, 74.5, 75.5, 76.5, 77.5, 78.5, 79.5, 80.5, 81.5, 82.5, 83.5, 84.5, 85.5, 86.5, 87.5, 88.5, 89.5], dtype=float32) - time(time)float640.5 1.5 2.5 ... 7.274e+03 7.276e+03
- standard_name :
- time
- long_name :
- Time
- units :
- days since 2000-03-01 00:00:00
- calendar :
- standard
- axis :
- T
array([5.0000e-01, 1.5000e+00, 2.5000e+00, ..., 7.2735e+03, 7.2745e+03, 7.2755e+03])
- adj_atmos_sw_up_all_surface_daily(time, lat, lon)float32dask.array<chunksize=(31, 180, 360), meta=np.ndarray>
- standard_name :
- Adjusted All-Sky Profile Fluxes Shortwave Flux Up - Surface
- long_name :
- Adjusted All-Sky Profile Fluxes Shortwave Flux Up, Surface All-Sky conditions, Daily Means
- units :
- W m-2
- valid_min :
- 0
- valid_max :
- 1500
Array Chunk Bytes 1.89 GB 8.04 MB Shape (7276, 180, 360) (31, 180, 360) Count 717 Tasks 239 Chunks Type float32 numpy.ndarray - adj_atmos_sw_down_all_surface_daily(time, lat, lon)float32dask.array<chunksize=(31, 180, 360), meta=np.ndarray>
- standard_name :
- Adjusted All-Sky Profile Fluxes Shortwave Flux Down - Surface
- long_name :
- Adjusted All-Sky Profile Fluxes Shortwave Flux Down, Surface All-Sky conditions, Daily Means
- units :
- W m-2
- valid_min :
- 0
- valid_max :
- 1500
Array Chunk Bytes 1.89 GB 8.04 MB Shape (7276, 180, 360) (31, 180, 360) Count 717 Tasks 239 Chunks Type float32 numpy.ndarray - adj_atmos_lw_up_all_surface_daily(time, lat, lon)float32dask.array<chunksize=(31, 180, 360), meta=np.ndarray>
- standard_name :
- Adjusted All-Sky Profile Fluxes Longwave Flux Up - Surface
- long_name :
- Adjusted All-Sky Profile Fluxes Longwave Flux Up, Surface All-Sky conditions, Daily Means
- units :
- W m-2
- valid_min :
- 0
- valid_max :
- 850
Array Chunk Bytes 1.89 GB 8.04 MB Shape (7276, 180, 360) (31, 180, 360) Count 717 Tasks 239 Chunks Type float32 numpy.ndarray - adj_atmos_lw_down_all_surface_daily(time, lat, lon)float32dask.array<chunksize=(31, 180, 360), meta=np.ndarray>
- standard_name :
- Adjusted All-Sky Profile Fluxes Longwave Flux Down - Surface
- long_name :
- Adjusted All-Sky Profile Fluxes Longwave Flux Down, Surface All-Sky conditions, Daily Means
- units :
- W m-2
- valid_min :
- 0
- valid_max :
- 700
Array Chunk Bytes 1.89 GB 8.04 MB Shape (7276, 180, 360) (31, 180, 360) Count 717 Tasks 239 Chunks Type float32 numpy.ndarray
- CDI :
- Climate Data Interface version 1.8.2 (http://mpimet.mpg.de/cdi)
- history :
- Wed Jul 08 09:24:05 2020: cdo -f nc4 -z zip_1 splityearmon CERES_SYN1deg-Day_Terra-Aqua-MODIS_Ed4.1_Subset_20000301-20050306.nc CERES_SYN1deg-Day_Terra-Aqua-MODIS_Ed4.1_
- institution :
- NASA Langley Research Center
- Conventions :
- CF-1.4
- title :
- CERES SYN1deg Daily data
- comment :
- Version :
- Edition 4.1: Release Date August 22, 2019
- DOI :
- 10.5067/Terra+Aqua/CERES/SYN1degDay_L3.004A
- Fill_Value :
- Fill Value is -999.0
- CDO :
- Climate Data Operators version 1.8.2 (http://mpimet.mpg.de/cdo)