HydroVisE

What is HydroVisE?

HydroVisE is a client-side web browser-based software for visualization and analysis of environmental data. It is developed to facilitate visualization and basic data evaluations for users with less exposure to web programming languages. HydroVisE is designed to address most common visualizations for environmental data with ability to further include more capabilities within its designed framework.

How to use HydroVisE?

Refer to project Documentation

How to cite HydroVisE?

Jadidoleslam, N., Goska, R., Mantilla, R., Krajewski, W.F., 2020. Hydrovise: A non-proprietary open-source software for hydrologic model and data visualization and evaluation. Environ. Model. Softw. 134, 104853.
DOI: 10.1016/j.envsoft.2020.104853

HydroVisE is open-source and free to use. Share the project with your friends and colleagues.

Example Use Cases

Example 1 - Time-series data visualization and evaluation

Real-time and historical USGS streamflow data browser
Data source for this example is a data interface for USGS streamflow data.
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For demonstration, we compare streamflow predictions from the HLM model for two cases. The first case is referred to as the "open loop" model prediction that does not include any update to model states. The second case is a model prediction using data assimilation of SMAP satellite-based soil moisture in HLM's top layer. We use Ensemble Kalman Filter with time-dependent variance for perturbations of initial soil moistures, referred to as "EnKFV". We show streamflow predictions at the USGS gauge observation locations for the state of Iowa for the year 2015.
This HydroVisE instance includes model evaluations by various statistical measures.

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Example 2 - Hydrologic assessment of Quantitative Precipitation Forecast (QPF)

We used hourly accumulated MRMS (Multi Radar Multi Sensor) and IFC (Iowa Flood Center) QPE products for simulating historical streamflow. For streamflow forecasts, we use HRRR (High-Resolution Rapid Refresh) atmospheric model's QPF. HRRR product is issued every hour with lead times starting from zero to eighteen hours. Streamflow forecasts from HLM model are provided for the next five days starting from every precipitation forecast issue time.

(a) - Issue Time

The time-series show streamflow forecasts for the next five days from a selected forecast issue time.
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(b) - Lead Time

The time-series show streamflow forecasts for a selected year, hydrologic model setup, and forecast lead time.
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Example 3 - Grid-based hydrometeorological data visualization

Satellite, field-sensor, and hydrologic model soil moisture space-time data visualization. The data correspond to soil moisture time-series from SMAP, SMOS, collocated field sensor soil moisture data and a hydrologic model storage that is shown by percentiles within a SMAP pixel.
The maps are provided for SMAP, Model's median value for hillslopes within a SMAP pixel.
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Example 4 - River network-based data visualizations

This example shows river network-based visualizations for flood potential during year 2016. Also, the time-series data are available for each river segments which can be visualized by clicking on any river segment shown on the map.
Minified Example
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Full Example for the state of Iowa
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Example Projects