wps_full_rvic¶
wps_full_rvic is a process that runs the parameters and convolution module of a VIC streamflow routing model, called RVIC. To get started, first instatiate the client. Here, the client will try to connect to a remote osprey instance using the url parameter.¶
In [1]:
from birdy import WPSClient
import os
from datetime import datetime
from wps_tools.testing import get_target_url
from netCDF4 import Dataset
from rvic.core.config import read_config
from importlib.resources import files
# Ensure we are in the working directory with access to the data
while os.path.basename(os.getcwd()) != "osprey":
os.chdir('../')
In [2]:
# NBVAL_IGNORE_OUTPUT
url = get_target_url("osprey")
print(f"Using osprey on {url}")
Using osprey on https://marble-dev01.pcic.uvic.ca/twitcher/ows/proxy/osprey/wps
In [3]:
osprey = WPSClient(url)
Help for individual processes can be diplayed using the ? command (ex. bird.process?).¶
In [4]:
# NBVAL_IGNORE_OUTPUT
osprey.full_rvic?
Signature: osprey.full_rvic( case_id, grid_id, run_startdate, stop_date, pour_points_csv=None, uh_box_csv=None, routing=None, domain=None, input_forcings=None, loglevel='INFO', version=True, np=1, params_config_file=None, params_config_dict=None, convolve_config_file=None, convolve_config_dict=None, ) Docstring: Run full RVIC process combining Parameters and Convolution modules Parameters ---------- loglevel : {'CRITICAL', 'ERROR', 'WARNING', 'INFO', 'DEBUG', 'NOTSET'}string Logging level version : boolean Return RVIC version string np : integer Number of processors used to run job case_id : string Case ID for the RVIC process grid_id : string Routing domain grid shortname run_startdate : string Run start date (yyyy-mm-dd-hh). Only used for startup and drystart runs. stop_date : string Run stop date based on STOP_OPTION pour_points_csv : ComplexData:mimetype:`text/plain`, :mimetype:`text/csv` Pour Points File content; A comma separated file of outlets to route to [lons, lats] Use open(filename).read() for local files and a URL for remote files. uh_box_csv : ComplexData:mimetype:`text/plain`, :mimetype:`text/csv` UH Box File content. Use open(filename).read() for local files and a URL for remote files. This defines the unit hydrograph to rout flow to the edge of each grid cell. routing : ComplexData:mimetype:`application/x-netcdf`, :mimetype:`application/x-ogc-dods` Path to routing inputs netCDF. domain : ComplexData:mimetype:`application/x-netcdf`, :mimetype:`application/x-ogc-dods` Path to CESM complaint domain file input_forcings : ComplexData:mimetype:`application/x-netcdf`, :mimetype:`application/x-ogc-dods` Path to land data netCDF forcings params_config_file : ComplexData:mimetype:`text/cfg` Path to input configuration file for Parameters process params_config_dict : string Dictionary containing input configuration for Parameters process convolve_config_file : ComplexData:mimetype:`text/cfg` Path to input configuration file for Convolution process convolve_config_dict : string Dictionary containing input configuration for Convolution process Returns ------- output : ComplexData:mimetype:`application/x-netcdf` Output Netcdf File File: ~/python-sprint/py-repos/osprey/</home/quintins/.cache/pypoetry/virtualenvs/osprey-ZXncEVFc-py3.11/lib/python3.11/site-packages/birdy/client/base.py-3> Type: method
We can use the docstring to ensure we provide the appropriate parameters.¶
In [5]:
# run full_rvic with only required inputs
output_basic = osprey.full_rvic(
case_id = "sample",
grid_id = "COLUMBIA",
run_startdate = "2012-12-01-00",
stop_date = "2012-12-31",
pour_points_csv = "https://marble-dev01.pcic.uvic.ca/twitcher/ows/proxy/thredds/fileServer/datasets/storage/data/projects/comp_support/climate_explorer_data_prep/hydro/sample_data/set4/sample_pour.txt",
uh_box_csv = (files("tests") / "data/samples/uhbox.csv").read_text(),
routing = "https://marble-dev01.pcic.uvic.ca/twitcher/ows/proxy/thredds/dodsC/datasets/storage/data/projects/comp_support/climate_explorer_data_prep/hydro/sample_data/set4/sample_flow_parameters.nc",
domain = str((files("tests") / "data/samples/sample_routing_domain.nc").resolve()),
input_forcings = "https://marble-dev01.pcic.uvic.ca/twitcher/ows/proxy/thredds/dodsC/datasets/storage/data/projects/comp_support/climate_explorer_data_prep/hydro/sample_data/set4/columbia_vicset2.nc",
)
# Use asobj=True to access the data from the output file
basic_data = output_basic.get(asobj=True)[0]
In [6]:
# run full_rvic with local configuration files
output_config_files = osprey.full_rvic(
case_id = "sample",
grid_id = "COLUMBIA",
run_startdate = "2012-12-01-00",
stop_date = "2012-12-31",
pour_points_csv = (files("tests") / "data/samples/sample_pour.txt").read_text(),
uh_box_csv = (files("tests") / "data/samples/uhbox.csv").read_text(),
routing = "https://marble-dev01.pcic.uvic.ca/twitcher/ows/proxy/thredds/dodsC/datasets/storage/data/projects/comp_support/climate_explorer_data_prep/hydro/sample_data/set4/sample_flow_parameters.nc",
domain = str((files("tests") / "data/samples/sample_routing_domain.nc").resolve()),
input_forcings = "https://marble-dev01.pcic.uvic.ca/twitcher/ows/proxy/thredds/dodsC/datasets/storage/data/projects/comp_support/climate_explorer_data_prep/hydro/sample_data/set4/columbia_vicset2.nc",
params_config_file = str((files("tests") / "data/configs/parameters.cfg").resolve()),
convolve_config_file = str((files("tests") / "data/configs/convolve.cfg").resolve()),
)
config_files_data = output_config_files.get(asobj=True)[0]
In [7]:
# run parameters with configuration dictionaries
output_config_dicts = osprey.full_rvic(
case_id = "sample",
grid_id = "COLUMBIA",
run_startdate = "2012-12-01-00",
stop_date = "2012-12-31",
pour_points_csv = (files("tests") / "data/samples/sample_pour.txt").read_text(),
uh_box_csv = (files("tests") / "data/samples/uhbox.csv").read_text(),
routing = "https://marble-dev01.pcic.uvic.ca/twitcher/ows/proxy/thredds/dodsC/datasets/storage/data/projects/comp_support/climate_explorer_data_prep/hydro/sample_data/set4/sample_flow_parameters.nc",
domain = str((files("tests") / "data/samples/sample_routing_domain.nc").resolve()),
input_forcings = "https://marble-dev01.pcic.uvic.ca/twitcher/ows/proxy/thredds/dodsC/datasets/storage/data/projects/comp_support/climate_explorer_data_prep/hydro/sample_data/set4/columbia_vicset2.nc",
params_config_dict = {
"OPTIONS": {
"LOG_LEVEL": "CRITICAL",
},
},
convolve_config_dict = {
"OPTIONS": {
"CASESTR": "Historical",
},
},
)
config_dicts_data = output_config_dicts.get(asobj=True)[0]
Once the process has completed we can extract the results and ensure it is what we expected.¶
In [8]:
params_config = read_config("tests/data/configs/parameters.cfg")
convolve_config = read_config("tests/data/configs/convolve.cfg")
# Expected output metadata determined from the input configuration file
expected = {
"title": "RVIC history file",
"year": datetime.now().strftime("%Y"),
"month": datetime.now().strftime("%b"),
"day": datetime.now().strftime("%d").zfill(2),
"RvicFdrFile": "sample_flow_parameters.nc",
}
In [9]:
def test_full_rvic_output(output_data, expected):
# Metadata of the final output of RVIC parameters + convolution
metadata = {
"title": output_data.title,
"year": output_data.history.split()[5],
"month": output_data.history.split()[2].zfill(2),
"day": output_data.history.split()[3].zfill(2),
"RvicFdrFile": output_data.RvicFdrFile,
}
assert metadata == expected
In [10]:
test_full_rvic_output(basic_data, expected)
test_full_rvic_output(config_files_data, expected)
test_full_rvic_output(config_dicts_data, expected)
In [ ]: