`pynldas2.pynldas2`#

Get hourly NLDAS2 forcing data.

Module Contents#

pynldas2.pynldas2.get_bycoords(coords, start_date, end_date, crs=4326, variables=None, to_xarray=False, n_conn=4)#

Get NLDAS climate forcing data for a list of coordinates.

Parameters

coords (list of tuples) – List of (lon, lat) coordinates.
start_date (str) – Start date of the data.
end_date (str) – End date of the data.
crs (str, int, or pyproj.CRS, optional) – The CRS of the input coordinates, defaults to EPSG:4326.
variables (str or list of str, optional) – Variables to download. If None, all variables are downloaded. Valid variables are: prcp, pet, temp, wind_u, wind_v, rlds, rsds, and humidity.
to_xarray (bool, optional) – If True, the data is returned as an xarray dataset.
n_conn (int, optional) – Number of parallel connections to use for retrieving data, defaults to 4. The maximum number of connections is 4, if more than 4 are requested, 4 connections will be used.

Returns

pandas.DataFrame – The requested data as a dataframe.

pynldas2.pynldas2.get_bygeom(geometry, start_date, end_date, geo_crs, variables=None, n_conn=4)#

Get hourly NLDAS climate forcing within a geometry at 0.125 resolution.

Parameters

geometry (shapely.Polygon, shapely.MultiPolygon, or tuple of length 4) – Input polygon or a bounding box like so (xmin, ymin, xmax, ymax).
start_date (str) – Start date of the data.
end_date (str) – End date of the data.
geo_crs (int, str, or pyproj.CRS) – CRS of the input geometry
variables (str or list of str, optional) – Variables to download. If None, all variables are downloaded. Valid variables are: prcp, pet, temp, wind_u, wind_v, rlds, rsds, and humidity.
n_conn (int, optional) – Number of parallel connections to use for retrieving data, defaults to 4. It should be less than 4.

Returns

xarray.Dataset – The requested forcing data.

pynldas2.pynldas2.get_grid_mask()#

Get the NLDAS2 grid that contains the land/water/soil/vegetation mask.