Venkatesh Merwade
Purdue University | Associate Professor
Recent Activity
ABSTRACT:
HydroMET-EO (Hydrologic Model Evaluation Tool - Earth Observation) is the first-of-its-type desktop-based semi-automatic software designed for Soil and Water Assessment Tool (SWAT) hydrologic model. In its current version, HydroMET-EO harmonizes EO datasets of evapotranspiration, Leaf Area Index, and Soil Moisture from varying sources and resolutions to SWAT’s structure and time-step, enabling subbasin-level evaluation of model outputs. Guided by a user-friendly graphical interface with reproducible workflows, statistical metrics, and visual aids, HydroMET-EO streamlines EO integration and thus advances how we typically evaluate the accuracy and physical consistency of hydrologic models and watershed management decisions. Our case studies highlight the tool’s effectiveness, demonstrating that models calibrated solely on streamflow data, despite excellent performance, may fail to capture other critical hydrologic processes.
Here we provide HydroMET-EO software executable, a user guide, and an example SWAT project with pre-processed EO data.
Developed by Linji Wang, Purdue University.
ABSTRACT:
This resource provides access to the data for the manuscript titled, "Assessing the impact of intrinsic spatial scales for application of integrated hydrologic-hydraulic models in large watersheds" by Saksena, Merwade and Singhofen.
ABSTRACT:
This is a shapefile for Wabash River. This file was provided to me by Dr. Venkatesh Merwade in EAPS 591 class for downloading DEM for this area. This resource was created on September 06, 2019.
ABSTRACT:
This is a calibrated SWAT model for Cedar Creek in Indiana. It was used by Rajib and Merwade (2016) to investigate the role of SCS CN method in soil moisture accounting algorithm in SWAT.
ABSTRACT:
This model is calibrated for Cedar Creek in Indiana. More details on the calibration and the model use can be found in Rajib and Merwade (2016) Hydrological Processes journal article.
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Created: Jan. 21, 2016, 3:34 p.m.
Authors: Venkatesh Merwade · Nikhil Sangwan
ABSTRACT:
This resource is an ESRI file geodatabase that contains floodplains for the continental United States. The geodatabase contains one feature class for each state. This is the the first version of the data which also includes wetlands and other water bodies as floodplains. More details on how the floodplains are extracted from the SSURGO data can be found in the following JAWRA article: Sangwan, Nikhil, and V. Merwade, A faster and economical approach to floodplain mapping by using soil information, Journal of American Water Resources Association, 51(5): 1286-1304. (2015)
ABSTRACT:
This SWAT model was created for Cedar Creek. The development of this model, its performance accuracy and results are available in the related journal article.
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This is a 30m DEM for Cedar Creek in Indiana.
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SWAT Model for Cedar Creek in Indiana.
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This SWAT Model instance is created for Flat River in North Carolina.
Created: July 15, 2016, 4:48 p.m.
Authors: Venkatesh Merwade
ABSTRACT:
This is a SWAT model instance that includes all the input and processed GIS data, and input/output model data for SWAT. The model is crated and calibrated for Las Vegas by using climate data from 2001 to 2010.
ABSTRACT:
This is a calibrated SWAT model for Cedar Creek in Indiana. It was used by Rajib and Merwade (2016) to investigate the role of SCS CN method in soil moisture accounting algorithm in SWAT.
Created: July 17, 2016, 9:58 p.m.
Authors: Venkatesh Merwade
ABSTRACT:
This is a calibrated SWAT simulation for South Fork Grand River. The model is created to run the simulation from 1981 - 1987.
Created: July 18, 2016, 12:59 a.m.
Authors: Venkatesh Merwade
ABSTRACT:
This is a calibrated SWAT model for South Fork Grand River. The model is created to simulate hydrology for the watershed from 2005-2011.
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This is a SWAT model instance for Las Vegas area. The model is created and calibrated by using GIS and climate data from 1971-1980.
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This data contains a 30m horizontal resolution raster of NLCD 2006 for the Las Vegas area.
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Test model
ABSTRACT:
This model is calibrated for Cedar Creek in Indiana. More details on the calibration and the model use can be found in Rajib and Merwade (2016) Hydrological Processes journal article.
ABSTRACT:
This is a calibrated SWAT model for Cedar Creek in Indiana. It was used by Rajib and Merwade (2016) to investigate the role of SCS CN method in soil moisture accounting algorithm in SWAT.
ABSTRACT:
This is a shapefile for Wabash River. This file was provided to me by Dr. Venkatesh Merwade in EAPS 591 class for downloading DEM for this area. This resource was created on September 06, 2019.
Created: Jan. 6, 2020, 4:56 p.m.
Authors: Saksena, Siddharth · Merwade, Venkatesh · Peter Singhofen
ABSTRACT:
This resource provides access to the data for the manuscript titled, "Assessing the impact of intrinsic spatial scales for application of integrated hydrologic-hydraulic models in large watersheds" by Saksena, Merwade and Singhofen.
Created: Dec. 21, 2024, 3:30 a.m.
Authors: Rajib, Adnan · Wang, Linji · Merwade, Venkatesh
ABSTRACT:
HydroMET-EO (Hydrologic Model Evaluation Tool - Earth Observation) is the first-of-its-type desktop-based semi-automatic software designed for Soil and Water Assessment Tool (SWAT) hydrologic model. In its current version, HydroMET-EO harmonizes EO datasets of evapotranspiration, Leaf Area Index, and Soil Moisture from varying sources and resolutions to SWAT’s structure and time-step, enabling subbasin-level evaluation of model outputs. Guided by a user-friendly graphical interface with reproducible workflows, statistical metrics, and visual aids, HydroMET-EO streamlines EO integration and thus advances how we typically evaluate the accuracy and physical consistency of hydrologic models and watershed management decisions. Our case studies highlight the tool’s effectiveness, demonstrating that models calibrated solely on streamflow data, despite excellent performance, may fail to capture other critical hydrologic processes.
Here we provide HydroMET-EO software executable, a user guide, and an example SWAT project with pre-processed EO data.
Developed by Linji Wang, Purdue University.