Update nwm_client_new routelink source for NWM v3.0 expanded domain

python/nwm_client_new/README.md

@@ -26,6 +26,31 @@ The following example demonstrates how one might use `hydrotools.nwm_client_new`
 
 ### Code
 
+<details><summary><b>View compatible configurations</b></summary>
+
+```python
+# Import the NWM Client
+from hydrotools.nwm_client_new.NWMFileClient import NWMFileClient
+
+# Instantiate model data client
+model_data_client = NWMFileClient()
+
+# Print compatible model configurations
+#  Note that not all data sources contain the full range of available 
+#  National Water Model data. This client defaults to Google Cloud Platform
+#  Which has the largest amount of *operational* forecast data.
+#  Also note that not all configurations are available for the entire
+#  archive of NWM operational forecast data. For example, the configurations 
+#  for Alaska only became available after August 2023.
+print(model_data_client.catalog.configurations)
+```
+### Example output
+```console
+['analysis_assim', 'analysis_assim_alaska', 'analysis_assim_alaska_no_da', 'analysis_assim_extend', 'analysis_assim_extend_no_da', 'analysis_assim_extend_alaska', 'analysis_assim_extend_alaska_no_da', 'analysis_assim_hawaii', 'analysis_assim_hawaii_no_da', 'analysis_assim_no_da', 'analysis_assim_puertorico', 'analysis_assim_puertorico_no_da', 'analysis_assim_long', 'analysis_assim_long_no_da', 'long_range_mem1', 'long_range_mem2', 'long_range_mem3', 'long_range_mem4', 'medium_range_alaska_mem1', 'medium_range_alaska_mem2', 'medium_range_alaska_mem3', 'medium_range_alaska_mem4', 'medium_range_alaska_mem5', 'medium_range_alaska_mem6', 'medium_range_alaska_no_da', 'medium_range_mem1', 'medium_range_mem2', 'medium_range_mem3', 'medium_range_mem4', 'medium_range_mem5', 'medium_range_mem6', 'medium_range_mem7', 'medium_range_no_da', 'short_range', 'short_range_alaska', 'short_range_hawaii', 'short_range_hawaii_no_da', 'short_range_puertorico', 'short_range_puertorico_no_da']
+```
+
+</details>
+
 <details><summary><b>Retrieving data from google cloud</b></summary>
 
 ```python

python/nwm_client_new/setup.cfg

@@ -46,6 +46,7 @@ install_requires =
     planetary-computer
     adlfs
     hydrotools._restclient
+    dask[dataframe]
 python_requires = >=3.8
 include_package_data = True
 

python/nwm_client_new/src/hydrotools/nwm_client_new/NWMClientDefaults.py

@@ -55,7 +55,7 @@ class NWMClientDefaults:
     )
     CATALOG: NWMFileCatalog = GCPFileCatalog()
     SSL_CONTEXT: ssl.SSLContext = ssl.create_default_context()
-    ROUTELINK_URL: str = "https://www.hydroshare.org/resource/b5f58460941c49578e311adb9823657a/data/contents/RouteLink.h5"
+    ROUTELINK_URL: str = "https://www.hydroshare.org/resource/e9fe66730d184bdfbaea19639bd7cb55/data/contents/RouteLink.h5"
     VARIABLES: List[str] = field(default_factory=lambda: ["streamflow"])
     NWM_TO_SI_UNIT_MAPPING: Dict[str, str] = field(default_factory=lambda: {"m": "m", "m s-1": "m/s", "m3 s-1": "m^3/s"})
     SI_TO_US_UNIT_MAPPING: Dict[str, str] = field(default_factory=lambda: {"m": "ft", "m/s": "ft/s", "m^3/s": "ft^3/s"})

python/nwm_client_new/src/hydrotools/nwm_client_new/NWMFileCatalog.py

@@ -82,30 +82,42 @@ def list_blobs(
     def configurations(self) -> List[str]:
         return [
             'analysis_assim',
+            'analysis_assim_alaska',
+            'analysis_assim_alaska_no_da',
             'analysis_assim_extend',
+            'analysis_assim_extend_no_da',
+            'analysis_assim_extend_alaska',
+            'analysis_assim_extend_alaska_no_da',
             'analysis_assim_hawaii',
-            'analysis_assim_long',
+            'analysis_assim_hawaii_no_da',
+            'analysis_assim_no_da',
             'analysis_assim_puertorico',
+            'analysis_assim_puertorico_no_da',
+            'analysis_assim_long',
+            'analysis_assim_long_no_da',
             'long_range_mem1',
             'long_range_mem2',
             'long_range_mem3',
             'long_range_mem4',
+            'medium_range_alaska_mem1',
+            'medium_range_alaska_mem2',
+            'medium_range_alaska_mem3',
+            'medium_range_alaska_mem4',
+            'medium_range_alaska_mem5',
+            'medium_range_alaska_mem6',
+            'medium_range_alaska_no_da',
             'medium_range_mem1',
             'medium_range_mem2',
             'medium_range_mem3',
             'medium_range_mem4',
             'medium_range_mem5',
             'medium_range_mem6',
             'medium_range_mem7',
+            'medium_range_no_da',
             'short_range',
+            'short_range_alaska',
             'short_range_hawaii',
-            'short_range_puertorico',
-            'analysis_assim_no_da',
-            'analysis_assim_extend_no_da',
-            'analysis_assim_hawaii_no_da',
-            'analysis_assim_long_no_da',
-            'analysis_assim_puertorico_no_da',
-            'medium_range_no_da',
             'short_range_hawaii_no_da',
-            'short_range_puertorico_no_da'
+            'short_range_puertorico',
+            'short_range_puertorico_no_da',
             ]

python/nwm_client_new/src/hydrotools/nwm_client_new/_version.py

@@ -1 +1 @@
-__version__ = "7.3.0"
+__version__ = "7.4.0"

python/nwm_client_new/tests/test_NWMClient.py

@@ -7,7 +7,7 @@
 # Set reference time
 yesterday = pd.Timestamp.utcnow() - pd.Timedelta("1D")
 reference_time_gcp = yesterday.strftime("%Y%m%dT%-HZ")
-reference_time_http = (yesterday+pd.Timedelta("1H")).strftime("%Y%m%dT%-HZ")
+reference_time_http = pd.Timestamp.utcnow() - pd.Timedelta("1D")
 
 # Canonical columns
 canonical_columns = [