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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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tRIBS benchmark: Basin-scale simulation, Big Spring, AZ, USA.

Authors: Raming, Logan; Vivoni, Enrique; Mascaro, Giuseppe; Cederstrom, Charles; Ko, Ara;

tRIBS benchmark: Basin-scale simulation, Big Spring, AZ, USA.

Abstract

This repository hosts the setup for executing a basin-scale simulation of the Big Spring watershed that drains into Sycamore Creek in northern Arizona, USA, using the TIN-Based Real-Time Integrated Basin Simulator (tRIBS). This repository consists of : (1) A data subdirectory, which contains all the necessary data to run the basin-scale simulation of Big Spring, using tRIBS. 2) A doc subdirectory, which contains a jupyter notebook for analyzing and visualizing this specific benchmark case, alongside additional documentation. (3) A src subdirectory that is currently empty but intended to contain source code for the tRIBS executable, which can be obtained here. (4) A bin subdirectory, that is currently empty but intended to store the tRIBS executable, with instructions to build the model here. (5) A results directory, which contains reference model output for results comparison. Instructions for running this benchmark are available in the README.html file within the repository, which can be opened with your web browser, and can also be found in the latest tRIBS documentation. Data from this model were obtained from a number of public sources: Soil properties were obtained from ISRIC (https://www.isric.org), with tRIBS input parameters derived from the ROSETTA pedotransfer functions (https://github.com/usda-ars-ussl/rosetta-soil). Precipitation and vegetation parameters related to tree height and vegetation fraction were provided by Salt River Project. Meteorological forcing was obtained from NLDAS-2 (https://ldas.gsfc.nasa.gov/nldas/v2/forcing),with rainfall data provided from Salt River Project rain gauges. NOTE: If you encounter a situation where, after downloading and extracting the big_spring.gz file, the extracted file has no extension, please follow these steps: Rename the File: Manually rename the extracted file to big_spring.zip. Extract Again: After renaming, unzip the big_spring.zip file to access the full folder with all the necessary files. This issue may occur if the file extraction process doesn't automatically add the .zip extension. By renaming the file and unzipping it again, you should be able to access the complete set of files without any issues.

Related Organizations
Keywords

forest hydrology, tRIBS model

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average