Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...

TempEst-NEXT: Source Code, Automatic Validation Suite, and Test Data


Authors:
Owners: This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) for information on this resource.
Type: Resource
Storage: The size of this resource is 2.0 GB
Created: Oct 27, 2025 at 7:42 p.m. (UTC)
Last updated: Oct 28, 2025 at 6:08 p.m. (UTC)
Citation: See how to cite this resource
Content types: CSV Content 
Sharing Status: Public
Views: 96
Downloads: 0
+1 Votes: Be the first one to 
 this.
Comments: No comments (yet)

Abstract

This resource contains data and code related to the development of the TempEst-NEXT river temperature forecasting model. The provided data and automatic validation suite should be sufficient to fully reproduce the performance analysis contained in the associated manuscript. The code includes model implementations for TempEst-NEWT (watershed-specific model) and TempEst-NEXT (ungaged model) as well as some utility functions for data retrieval and analysis. Data files include the development dataset (DevData) and independent test dataset (TestData) with both estimated weather (...Buffers.csv) and forecasted weather (...HRRR3.csv) as weather inputs. The NEXT_validation notebook automatically analyzes NEXT performance (with some random variation, so results may not be identical to the published values but should be close).

NEXT_validation_20250917.pdf is a knitted version of the validation notebook, containing all key results, as of September 17, 2025 (model version used for manuscript submission).

To run the entire Notebook, requirements are:
• Python dependencies: tempest-next, matplotlib, seaborn, and scikit-learn. tempest-next is available (under that name) on the Python Package Index, so pip install tempest-next. This will also install, as a dependency, TempEst-NEWT, the calibrated version of the model.
• A directory (specify location in bp= in the first cell) containing DevDataBuffers.csv, TestDataBuffers.csv, DevDataHRRR3.csv, and TestDataHRRR3.csv. These should be provided with the notebook. It should also contain a results subdirectory.
• In the same directory as the notebook:
– An ecoregions directory, containing NA_CEC_Eco_Level1.shp (EPA Level I Ecoregions).
– A usa_states directory, containing usa_states/cb_2018_us_state_20m.shp (US Census state outlines shapefile).
– A val_figures directory
– A results directory (in the directory `bp`, which can be the same directory)

The above requirements, other than the Python dependencies, are included in this data release, so, with `bp=(current directory)`, it should be possible to run everything from this download.

These data and related items of information have not been formally disseminated by NOAA, and do not represent any agency determination, view, or policy.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Contiguous United States
North Latitude
49.0000°
East Longitude
-67.0000°
South Latitude
25.0000°
West Longitude
-124.0000°

Temporal

Start Date:
End Date:

Content

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Oceanic and Atmospheric Administration Cooperative Institute for Research to Operations in Hydrology NA22NWS4320003

How to Cite

Philippus, D., C. R. Corona, T. S. Hogue (2025). TempEst-NEXT: Source Code, Automatic Validation Suite, and Test Data, HydroShare, http://www.hydroshare.org/resource/abdb4e52147e408f9e328a5ba2a155f8

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

There are currently no comments

New Comment

required