whoi_oaflux_sh_monthly
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/whoi_oaflux_sh.yaml")
ds=cat.netcdf.read()
Metadata
title | whoi_oaflux_sh_monthly |
location | /project/airsea/WHOI_OA/SH_oaflux |
tags | gridded, obs, flux, monthly, global |
catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/whoi_oaflux_sh.yaml |
last updated | 2017-08-01 |
Dataset Contents
xarray.Dataset
- lat: 180
- lon: 360
- time: 726
- lon(lon)float320.5 1.5 2.5 ... 357.5 358.5 359.5
- long_name :
- longitude
- units :
- degrees
- range :
- 0.5 to 359.5
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
- long_name :
- latitude
- units :
- degrees
- range :
- 89.5S to 89.5N
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)int641 2 3 4 5 6 7 8 ... 12 1 2 3 4 5 6
- units :
- month
array([1, 2, 3, ..., 4, 5, 6])
- shtfl(time, lat, lon)float32dask.array<chunksize=(12, 180, 360), meta=np.ndarray>
- comments :
- monthly mean surface sensible heat flux, positive upward
- units :
- W/m^2
Array Chunk Bytes 188.18 MB 3.11 MB Shape (726, 180, 360) (12, 180, 360) Count 183 Tasks 61 Chunks Type float32 numpy.ndarray - err(time, lat, lon)float32dask.array<chunksize=(12, 180, 360), meta=np.ndarray>
- comments :
- monthly mean estimated error of surface sensible heat flux
- units :
- W/m^2
Array Chunk Bytes 188.18 MB 3.11 MB Shape (726, 180, 360) (12, 180, 360) Count 183 Tasks 61 Chunks Type float32 numpy.ndarray
- creation_date :
- Dec 2007
- description :
- WHOI Objectively Analyzed air-sea Fluxes (OAFlux) Project
- project_PIs :
- Lisan Yu, Bob Weller
- website :
- http://oaflux.whoi.edu