diff --git a/tests/test_NRCAN_daily.py b/tests/test_NRCAN_daily.py
new file mode 100644
index 00000000..ba5e8e8e
--- /dev/null
+++ b/tests/test_NRCAN_daily.py
@@ -0,0 +1,114 @@
+import pytest
+import datetime as dt
+import numpy as np
+import xarray as xr
+import json
+import matplotlib.pyplot as plt
+from pywps import Service
+from pywps.tests import assert_response_success
+
+import tempfile
+from . common import client_for, TESTDATA, CFG_FILE, get_output, urlretrieve
+from raven.processes import RavenHMETSProcess
+from raven.models import HMETS
+
+
+NRCAN_path='https://pavics.ouranos.ca/twitcher/ows/proxy/thredds/dodsC/birdhouse/1-Datasets/gridded_obs/nrcan_v2.ncml'
+
+# Temporary path
+filepath = tempfile.mkdtemp() + "/NRCAN_ts.nc"
+
+# Get information for given catchment, could be passed in parameter to the function
+salmon=xr.open_dataset(TESTDATA['raven-hmets-nc-ts'])
+lat = salmon.lat.values[0]
+lon = salmon.lon.values[0]
+
+#Start and end dates
+start_date=dt.datetime(2006, 1, 1)
+end_date=dt.datetime(2007, 12, 31)
+              
+# Get data for the covered period including a 1-degree bounding box for good measure. Eventually we will be
+# able to take the catchment polygon as a mask and average points residing inside.
+
+ds=xr.open_dataset(NRCAN_path).sel(lat=slice(lat+1,lat-1), lon=slice(lon-1,lon+1), time=slice(start_date, end_date)).mean(dim={'lat','lon'}, keep_attrs=True)
+ds.to_netcdf(filepath)
+
+
+class TestRavenNRCAN:
+    def test_simple(self):
+
+        
+        params = (9.5019, 0.2774, 6.3942, 0.6884, 1.2875, 5.4134, 2.3641, 0.0973, 0.0464, 0.1998, 0.0222, -1.0919,
+          2.6851, 0.3740, 1.0000, 0.4739, 0.0114, 0.0243, 0.0069, 310.7211, 916.1947)
+           
+        model = HMETS()
+        model(ts=filepath,
+              params=params,
+              start_date=start_date,
+              end_date=end_date,
+              name='Salmon',
+              run_name='test-hmets-NRCAN',
+              area=4250.6,
+              elevation=843.0,
+              latitude=54.4848,
+              longitude=-123.3659,
+              rain_snow_fraction="RAINSNOW_DINGMAN",
+              tasmax={'linear_transform': (1.0, -273.15)},
+              tasmin={'linear_transform': (1.0, -273.15)},
+              pr={'linear_transform': (86400, 0.0)}
+              )
+        
+        
+class TestRavenNRCANProcess:
+
+    def test_simple(self):
+        client = client_for(Service(processes=[RavenHMETSProcess(), ], cfgfiles=CFG_FILE))
+
+        params = '9.5019, 0.2774, 6.3942, 0.6884, 1.2875, 5.4134, 2.3641, 0.0973, 0.0464, 0.1998, 0.0222, -1.0919, ' \
+                 '2.6851, 0.3740, 1.0000, 0.4739, 0.0114, 0.0243, 0.0069, 310.7211, 916.1947'
+     
+        datainputs = "ts=files@xlink:href=file://{ts};" \
+                     "params={params};" \
+                     "start_date={start_date};" \
+                     "end_date={end_date};" \
+                     "init={init};" \
+                     "name={name};" \
+                     "run_name={run_name};" \
+                     "area={area};" \
+                     "latitude={latitude};" \
+                     "longitude={longitude};" \
+                     "elevation={elevation};" \
+                     "rain_snow_fraction={rain_snow_fraction};"\
+                     "nc_spec={tasmax};"\
+                     "nc_spec={tasmin};"\
+                     "nc_spec={pr}"\
+            .format(ts=filepath, # This is a file on disk, need to pass 'g'
+                    params=params,
+                    start_date=start_date,
+                    end_date=end_date,
+                    init='155,455',
+                    name='Salmon',
+                    run_name='test-hmets-NRCAN',
+                    area='4250.6',
+                    elevation='843.0',
+                    latitude=lat,
+                    longitude=lon,
+                    rain_snow_fraction="RAINSNOW_DINGMAN",
+                    tasmax=json.dumps({'tasmax': {'linear_transform': (1.0, -273.15)}}),
+                    tasmin=json.dumps({'tasmin': {'linear_transform': (1.0, -273.15)}}),
+                    pr=json.dumps({'pr': {'linear_transform': (86400.0, 0.0)}}),
+                    )
+            
+        resp = client.get(
+            service='WPS', request='Execute', version='1.0.0', identifier='raven-hmets',
+            datainputs=datainputs)
+
+        assert_response_success(resp)
+        
+        # For testing purposes
+        #out = get_output(resp.xml)
+        #tmp_file, _ = urlretrieve(out['hydrograph'])
+        #tmp=xr.open_dataset(tmp_file)
+        #plt.plot(tmp['q_sim'])
+        #plt.show()
+