Edit Module questionnaire: Model:TIN-based Real-time Integrated Basin Simulator (tRIBS)

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Module questionnaire[edit]

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Module type

Also known as:	tRIBS
Indicate framework if the model is part of a larger framework:
Module type: *
Note on status model:
Date note status model:

Incorporated models

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Module identity

Module domain:	Terrestrial Hydrology Coastal Marine Geodynamic Climate Ecosystems Carbonates and Biogenics Cryosphere Artificial Intelligence and Machine Learning Human dimensions Planetary landforms
Spatial dimensions: (More options possible)	1D 1.5D 2D 3D	For example: 1D: profiles 1.5D: 2D projections extracted from 1D profiles 2D: a DEM grid with one value of z for every x-y location 3D: multiple z values possible for every x-y location
Spatial extent: (More options possible)	Global Continental Regional-Scale Landscape-Scale Watershed-Scale Reach-Scale Patch-Scale Grain-Scale Point-Based	For Example: The world Continental (order 1,000 km) Regional-Scale (order 100 km) Landscape-Scale (order 10 km) Watershed-Scale (order 1 km) Reach-Scale (order 100m) Patch-Scale (order 1-10m) Grain-Scale (order 0.00001 to 1m) Point-Based

One-line module description:

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Extended module description:

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The tRIBS model in this release (version 5.2.0 of May 3, 2024) under the MIT license includes:

Hydrologic Processes:

Soil moisture infiltration fronts and their vertical redistribution.
Coupled dynamics of the vadose and saturated zones with a dynamic water table.
Topography-driven lateral fluxes in the vadose and saturated zones.
Radiation and energy balance components on complex terrain.
Single layer snowpack accumulation, ablation and melt on complex terrain.
Rainfall and snow interception on vegetation canopies.
Evaporation of intercepted rainfall, soil evaporation and plant transpiration.
Hydrologic hillslope routing, hydraulic routing in channels, level-pool reservoir routing.

Computational Processes:

Multi-resolution domain generated with channel network and watershed boundary.
Computationally-efficient methods for infiltration, snow dynamics and flow routing.
Serial operation for point-scale simulations and small watershed domains.
Parallelized operation for large domains optimized through subbasin partitioning methods.
Ingestion of time-varying meteorological forcing from stations or raster-based products.
Ingestion of soil and vegetation parameters from tabular data or raster-based products.
Pre- and post-processing workflows for time series and spatial analysis using Python.

Model Keywords

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Contact details modeler

First name: *
Last name: *
Type of contact:
Institute / Organization:	Arizona State University
Postal address 1:
Postal address 2:
Town / City: *
Postal code: *	85287-8704
Country: *

State:

Email address: *	vivoni@asu.edu
Phone:
Fax:

Contact details additional modeler

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Last name:
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Postal address 1:
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Technical information

Supported platforms: (More options possible)	Unix Linux Mac OS Windows
Other platform:
Programming language:	Fortran77 Fortran90 C C++ Python Java IDL Matlab
Other programming language:
Code optimized for: (More options possible)	Single Processor Multiple Processors

How is the use of multiple processors implemented:	Distributed memory Shared memory	Nr. of distributed processors: Nr. of shared processors:

Start year development:
Does module development still take place?: *	Yes No

Provide end year module development:

Status development code: *
Year when 'Status development code' was indicated: *
Module availability:	As code As teaching tool
Repository where source code can be found:	Through web repository Through CSDMS repository

Source code downloadable from website:	https://github.com/tribshms/tRIBS

Source code downloadable from website:

Program license type: *

Other license:

Memory requirements:
Typical run time:

Input / Output description

Describe input parameters:
Input format:	ASCII Binary
Other input format:
Describe output parameters:
Output format:	ASCII Binary
Other output format:
Pre-processing software needed?: *	Yes No

Describe pre-processing software:	Python tools, see https://github.com/tribshms/pytRIBS

Post-processing software needed?: *	Yes No

Describe post-processing software:	Python tools, see https://github.com/tribshms/pytRIBS

Visualization software needed?: *	Yes No

Select visualization software:	ESRI IDL Matlab
Other visualization software:

Process representation

Describe processes represented by the module:	See https://tribshms.readthedocs.io/en/latest/
Describe key physical parameters and equations:	See https://tribshms.readthedocs.io/en/latest/
Describe length scale and resolution constraints:	See https://tribshms.readthedocs.io/en/latest/
Describe time scale and resolution constraints:	See https://tribshms.readthedocs.io/en/latest/
Describe any numerical limitations and issues:	See https://tribshms.readthedocs.io/en/latest/

Module testing

Describe available calibration data sets:	See https://tribshms.readthedocs.io/en/latest/man/Benchmarks.html
Upload calibration data sets if available (Multiple files possible):	Upload file
Describe available test data sets:	See https://tribshms.readthedocs.io/en/latest/man/Benchmarks.html
Upload test data sets if available (Multiple files possible):	Upload file
Describe ideal data for testing:	See https://tribshms.readthedocs.io/en/latest/man/Benchmarks.html

Users groups

Do you have current or future plans for collaborating with other researchers?:

Additional users groups

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Documentation

Is there a manual available?: *	Yes No

Upload manual:	Upload file

Module website if any:	https://tribshms.readthedocs.io/en/latest/
Module forum / discussion board:	https://groups.google.com/g/tribs

Additional comments

Comments:

Component structure This part will be filled out by a CSDMS-IF member

OpenMI compliant:	None/unknown Yes No but planned No but possible No not possible
BMI compliant:	None/unknown Yes No but planned No but possible No not possible
Is model available in the CSDMS model Tool (WMT)?:	None/unknown Yes In progress No but possible No not possible
Is model available in PyMT?:	None/unknown Yes In progress No but possible No not possible
Is this a Data Component?:	None/unknown Yes No

DOI information

DOI name model:	10.5281/zenodo.13324179
For model version:	v5.2
Year version submitted:	2024
Link to doi file:	https://zenodo.org/records/13324179

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