SMroot_2010_GLEAM_v3.5a
Load in Python
from intake import open_catalog
cat = open_catalog("https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/SMroot_2010_GLEAM_v3.5a.yaml")
ds=cat.netcdf.read()Metadata
| title | SMroot_2010_GLEAM_v3.5a |
| location | /shared/land/GLEAM/v3.5a/daily/2010 |
| tags | land,fluxes,daily,global,evaporation |
| catalog_dir | https://raw.githubusercontent.com/kpegion/COLA-DATASETS-CATALOG/gh-pages/intake-catalogs/SMroot_2010_GLEAM_v3.5a.yaml |
| last updated | 2021-06-24 |
Dataset Contents
<xarray.Dataset>
Dimensions: (lat: 720, lon: 1440, time: 365)
Coordinates:
* time (time) float64 4.018e+04 4.018e+04 ... 4.054e+04 4.054e+04
* lon (lon) float64 -179.9 -179.6 -179.4 -179.1 ... 179.4 179.6 179.9
* lat (lat) float64 89.88 89.62 89.38 89.12 ... -89.38 -89.62 -89.88
Data variables:
SMroot (time, lon, lat) float64 ...
Attributes:
Dataset: Global Land Evaporation Amsterdam Model
Version: 3.5a
Authors: Hydro-Climate Extremes Lab (H-CEL)
Institution: Ghent University
Contact: info@gleam.eu
Reference1: Martens, B. et al 2017: GLEAM v3: satellite-based land evap...
Reference2: Miralles, D.G. et al. 2011: Global land-surface evaporation...xarray.Dataset
- lat: 720
- lon: 1440
- time: 365
- time(time)float644.018e+04 4.018e+04 ... 4.054e+04
- standard_name :
- time
- long_name :
- time
- units :
- days since 1900-01-01
- calendar :
- proleptic_gregorian
array([40177., 40178., 40179., ..., 40539., 40540., 40541.])
- lon(lon)float64-179.9 -179.6 ... 179.6 179.9
- standard_name :
- longitude
- long_name :
- longitude
- units :
- degrees_east
array([-179.875, -179.625, -179.375, ..., 179.375, 179.625, 179.875])
- lat(lat)float6489.88 89.62 89.38 ... -89.62 -89.88
- standard_name :
- latitude
- long_name :
- latitude
- units :
- degrees_north
array([ 89.875, 89.625, 89.375, ..., -89.375, -89.625, -89.875])
- SMroot(time, lon, lat)float64...
- standard_name :
- Root-zone soil moisture
- long_name :
- Root-zone soil moisture from GLEAM v3.5a
- units :
- m3/m3
[378432000 values with dtype=float64]
- Dataset :
- Global Land Evaporation Amsterdam Model
- Version :
- 3.5a
- Authors :
- Hydro-Climate Extremes Lab (H-CEL)
- Institution :
- Ghent University
- Contact :
- info@gleam.eu
- Reference1 :
- Martens, B. et al 2017: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geoscientific Model Development, 10, 1903–1925, doi: 10.5194/gmd-10-1903-2017
- Reference2 :
- Miralles, D.G. et al. 2011: Global land-surface evaporation estimated from satellite-based observations, Hydrology and Earth System Sciences, 15, 453–469, doi: 10.5194/hess-15-453-2011