Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
| 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: | 104 |
| 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
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
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
Comments
There are currently no comments
New Comment