Category: Modeling & Prediction

Troubleshooting Drive Space Issues in MIKE-SHE and MIKE-HydroRiver Model Runs: Unable to Write Dynamic Item Error

MIKE-SHE and MIKE-HydroRiver are two popular numerical models for simulating water flow and transport in rivers and groundwater systems. These models are widely used in geoscience research and engineering applications. However, model runs can sometimes fail due to various reasons such as input errors, incorrect parameterization, or system problems. A common problem encountered by users

Modeling the Distribution of Wetland Inflows to Storage in WRSM-Pitman: An Earth Science Perspective

Wetlands are important ecosystems that provide a variety of benefits, including flood control, water purification, and wildlife habitat. Wetlands are also important for carbon sequestration, with some estimates suggesting that wetlands store up to 30% of the world’s soil carbon. Understanding the dynamics of wetland inflows and outflows is critical to managing these valuable ecosystems.

Modeling ACRU4 PercentRiparianInfestation: Exploring the Impact of Land Use on Riparian Ecosystems

What is ACRU4 PercentRiparianInfestation? The ACRU4 PercentRiparianInfestation model is a tool for predicting the percentage of riparian areas in a watershed that are infested with invasive plant species. The model is based on the Agricultural Policy/Environmental eXtender (APEX) model and uses inputs such as land use, soil type, and climate data to estimate the probability

Excluding Dam Capacity from Runoff Models: Implications for Earth Science Studies

Runoff models are an important tool in earth science studies, helping researchers and practitioners understand how water moves through the landscape. These models are used to predict how much water will flow into streams and rivers from rainfall and snowmelt, which is important for managing water resources, predicting floods and droughts, and understanding the effects

Linking Model Variables to Theory Documentation in WRSM-Pitman: A Mapping Approach for Improved Earth Science Modeling

As Earth science models become more complex, it becomes increasingly difficult to understand the relationships between the variables in the model and the underlying theory that informs them. This is where mapping variables in the model to the theory documentation in WRSM-Pitman can be particularly useful. In this article, we explore the benefits of this

Integrating MIKE-SHE Hydrological Model: Exporting SZ Flow to Inform Boundary Conditions in Nested Models

The MIKE-SHE hydrological model is a powerful tool for simulating the hydrological cycle in catchments and has been widely used in various environmental studies. One of the key features of the model is its ability to simulate groundwater-surface water interaction through the so-called SZ (Saturated Zone) flow. However, when modeling large catchments, the computational cost

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