Showing posts with label dll. Show all posts
Showing posts with label dll. Show all posts

October 19, 2025

River Network Optimization using GoldSim - Python Integration

In this post, I'll explore a use case for the GSPy bridge: dynamically solving a complex river allocation problem using Python's PuLP Linear Programming (LP) library at every timestep of a GoldSim simulation.

The challenge of simulating a river network with sequential diversions, return flows, and competing demands governed by priorities is non-trivial. By moving the allocation decision to an external optimizer, we can achieve optimal water delivery in a way that is challenging to replicate with explicit rules-based logic.

February 28, 2020

Combining a Weather Forecast with a Stochastic Weather Generator

Posted by Jason Lillywhite

A couple of years ago, I blogged about the application of the GoldSim WGEN model for producing probabilistic time histories of precipitation and temperature data. WGEN is useful for modeling natural systems impacted by uncertain climate influences. This model can also be used for simulating future scenarios and forecasting.

Even though the results of a WGEN model are probabilistic and uncertain, they are based on historical observed records and tied to the latitude of the earth. This allows us to produce realistic future simulations. But if you plan to use WGEN for short-term forecasting (less than 6 months), it might be helpful to incorporate a weather forecast for the first part of the simulation. Read more to see how a web service forecast model is combined with WGEN to produce a more reasonable forecast for a specific location without having to manually download the forecast.

November 11, 2015

Dynamic Coupling of GoldSim and MODFLOW / MT3D

Posted by Jason Lillywhite

From time to time, we hear from GoldSim users asking about the possibility of linking MODFLOW with GoldSim dynamically. This is important because the combined model is useful for integrating accurate groundwater flow and transport models with decision support, hydrologic, and probabilistic models built in GoldSim. Folks at Barr Engineering were able to pull this off using a realistic hypothetical application and presented their application at the poster session of our 2015 User Conference.