Dataset: Agricultural Virtual Laboratory Dataset#

Dataset identifier: avl/senet/2019/bel/EVAPOTRANSPIRATION_SENET_31UES.zarr
Data store: staging

How to open this dataset in AVL JupyterLab  ⧉#

ds = staging_store.open_data('avl/senet/2019/bel/EVAPOTRANSPIRATION_SENET_31UES.zarr')

Basic information#

Parameter	Value
Bounding box longitude (°)	499980.0 to 609780.0
Bounding box latitude (°)	5590200.0 to 5700000.0
Time range	2019-01-08 to 2019-12-30

Click here for full dataset metadata.

Variable list#

Click on a variable name to jump to the variable’s full metadata.

Variable	Long name	Units
daily_evapotranspiration	daily_evapotranspiration	1

Full variable metadata#

crs#

Field	Value
crs_wkt	PROJCRS["WGS 84 / UTM zone 31N",BASEGEOGCRS["WGS 84",DATUM["World Geodetic System 1984",ELLIPSOID["WGS 84",6378137,298.257223563,LENGTHUNIT["metre",1]]],PRIMEM["Greenwich",0,ANGLEUNIT["degree",0.0174532925199433]],ID["EPSG",4326]],CONVERSION["UTM zone 31N",METHOD["Transverse Mercator",ID["EPSG",9807]],PARAMETER["Latitude of natural origin",0,ANGLEUNIT["degree",0.0174532925199433],ID["EPSG",8801]],PARAMETER["Longitude of natural origin",3,ANGLEUNIT["degree",0.0174532925199433],ID["EPSG",8802]],PARAMETER["Scale factor at natural origin",0.9996,SCALEUNIT["unity",1],ID["EPSG",8805]],PARAMETER["False easting",500000,LENGTHUNIT["metre",1],ID["EPSG",8806]],PARAMETER["False northing",0,LENGTHUNIT["metre",1],ID["EPSG",8807]]],CS[Cartesian,2],AXIS["easting",east,ORDER[1],LENGTHUNIT["metre",1]],AXIS["northing",north,ORDER[2],LENGTHUNIT["metre",1]],ID["EPSG",32631]]
false_easting	500000.0
false_northing	0.0
geographic_crs_name	WGS 84
grid_mapping_name	transverse_mercator
horizontal_datum_name	World Geodetic System 1984
inverse_flattening	298.257223563
latitude_of_projection_origin	0.0
longitude_of_central_meridian	3.0
longitude_of_prime_meridian	0.0
prime_meridian_name	Greenwich
projected_crs_name	WGS 84 / UTM zone 31N
reference_ellipsoid_name	WGS 84
scale_factor_at_central_meridian	0.9996
semi_major_axis	6378137.0
semi_minor_axis	6356752.314245179

daily_evapotranspiration#

Field	Value
grid_mapping	crs
long_name	daily_evapotranspiration
standard_name	daily_evapotranspiration
units	1

Full dataset metadata#

Field	Value
Conventions	CF-1.7
geospatial_bounds	POLYGON((499980.0 5700000.0, 499980.0 5590200.0, 609780.0 5590200.0, 609780.0 5700000.0, 499980.0 5700000.0))
geospatial_bounds_crs	PROJCS["WGS 84 / UTM zone 31N",GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4326"]],PROJECTION["Transverse_Mercator"],PARAMETER["latitude_of_origin",0],PARAMETER["central_meridian",3],PARAMETER["scale_factor",0.9996],PARAMETER["false_easting",500000],PARAMETER["false_northing",0],UNIT["metre",1,AUTHORITY["EPSG","9001"]],AXIS["Easting",EAST],AXIS["Northing",NORTH],AUTHORITY["EPSG","32631"]]
geospatial_lat_max	51.451182205314446
geospatial_lat_min	50.45352327844135
geospatial_lat_units	degrees_north
geospatial_lon_max	4.57954402145994
geospatial_lon_min	2.9997121758512937
geospatial_lon_units	degrees_east
geospatial_x_max	609780.0
geospatial_x_min	499980.0
geospatial_x_resolution	20.0
geospatial_x_units	metre
geospatial_y_max	5590200.0
geospatial_y_min	5700000.0
geospatial_y_resolution	-20.0
geospatial_y_units	metre
keywords	ESA, AVL, Agriculture, EO
sources	EVAPOTRANSPIRATION_SENET_31UES_20190108.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190109.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190114.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190119.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190121.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190128.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190203.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190207.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190215.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190223.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190225.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190227.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190305.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190322.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190329.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190330.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190401.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190403.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190404.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190411.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190413.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190414.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190418.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190419.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190421.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190424.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190426.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190429.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190504.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190511.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190513.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190514.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190516.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190518.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190524.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190529.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190602.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190615.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190617.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190618.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190622.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190623.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190627.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190628.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190630.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190705.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190717.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190723.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190725.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190730.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190807.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190822.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190824.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190826.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190827.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190831.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190908.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190910.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190915.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190918.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190920.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20190921.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20191010.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20191028.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20191102.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20191109.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20191110.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20191112.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20191117.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20191119.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20191122.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20191130.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20191204.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20191212.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20191224.ZARR, EVAPOTRANSPIRATION_SENET_31UES_20191230.ZARR
summary	This dataset is used to demonstrate the AVL common dataset convention
time_coverage_start	2019-01-08 00:00:00
title	Agricultural Virtual Laboratory Dataset