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 1.7 GB | |
Created: | Sep 16, 2024 at 7:46 p.m. | |
Last updated: | Oct 31, 2024 at 4:54 p.m. | |
Citation: | See how to cite this resource |
Sharing Status: | Public |
---|---|
Views: | 120 |
Downloads: | 25 |
+1 Votes: | Be the first one to this. |
Comments: | No comments (yet) |
Abstract
This resource contains code and data related to the development of the TempEst 2 stream temperature remote sensing model (manuscript in review with Journal of Hydrology). The code includes the model implementation (model.R), some utility functions (valfn.R), data retrieval scripts for Google Earth Engine (eeretrieval.py and datapts.py), and a reproducible validation notebook (validation.Rmd), along with the knitted PDF of the latter (validation.pdf). The main data include stream temperature daily mean/max observations retrieved from the USGS NWIS as well as remotely-sensed and gridded observations retrieved using Google Earth Engine from NLDAS, ESA WorldCover, MODIS, ERA5, and EPA Ecoregions (using eeretrieval.py). These are contained in three files. AllData.csv includes all observations for mean temperature. ExtData.csv ("extended data") adds maximum temperature, at the expense of fewer total observations being included. Ecoregions.csv is not central to the analysis, but includes EPA Level I ecoregion classifications for convenience.
Model performance tests can be reproduced using validation.Rmd. To run validation.Rmd in full, there must be a Data directory with subdirectories Density and TSLen, a Figures directory, at least one of the main data files (AllData.csv, ExtData.csv) or equivalent, and Ecoregions.csv. A knitted version of the Notebook is included in this resource. The error map plots also use an EPA Level I Ecoregions (https://gaftp.epa.gov/EPADataCommons/ORD/Ecoregions/cec_na/na_cec_eco_l1.zip) shapefile, which is assumed to be in an Ecoregions subdirectory of the *parent* directory. This dependency can be removed by replacing the `plot.eco` function with ordinary ggplot plotting.
The two rda (RData) files contain different versions of a pre-trained model. model.rda contains a regular, pre-trained model function that can be used directly to generate predictions. krigs.rda contains a list of the actual fitted kriging models, which can be used for investigating model components (see demo.pdf).
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