For more than 20 years, Dr. Bart Nijssenhas served as one of the main programmers for the Variable Infiltration Capacity Model (VIC), which was originally developed at the University of Washington’s Department of Civil and Environmental Engineering in the early 1990s and which benefited from scientific and code improvements by a large cast of scientists. A macroscale hydrologic model, VIC is used to solve water and energy balances in major river basins around the world. Today, if anyone carries out a simple search on the web or Web of Science (for citation tracking) for the term “VIC,” there are at least 13 million search results (on Google Scholar that is 0.5 million) and more than 35,000 Web of Science citations that have accumulated from 1996 to 2021. Most of these citations appear in diverse topics ranging from, but not limited to, macroscale hydrology, climate change, water management, crop science and natural resource management using the VIC model as the key modeling tool. Incidentally, 1996-2021 is also the time period that Bart has been unselfishly and relentlessly devoting his time to serve the scientific community. Bart’s “labor of love” spanning two decades has enabled the lion’s share of these numerous scientific breakthroughs, as evident from the numerous citations, by building/maintaining a robust computational hydrology infrastructure for the VIC model. Bart has spent most of his career managing the modeling process for the global Earth science community (e.g., code management, model coupling, estimating forcing data and model parameters, data management), which has accelerated scientific advances by strengthening the model ecosystem. The proof is in the average rate of 1,400 citations per year on VIC alone. Bart burned the midnight candle just to develop best practices for software on coding standards and version control, reproducible and sharable model workflows, documentation for developers and users and continuous testing. Indeed, the global success of the VIC model is in large part due to the open-source code base.
It would be wrong to confine Bart’s unselfish service to the broader scientific community in terms of just one hydrologic modeling effort. Bart, along with many other scientists, has applied the same unselfish service to building and maintaining a publicly accessible and newer modeling infrastructure for several other models such as the Distributed Hydrology Soil Vegetation Model, RVIC and, most recently, the community-driven SUMMA (Structure for Unifying Multiple Modeling Alternatives). What makes Bart’s impact in maintaining this computational hydrology infrastructure more unique is that Bart did all this without much external support, unlike many federally supported community programs that exist today for such large-scale modeling efforts.
It is therefore truly wonderful to see AGU recognize Dr. Bart Nijssen for the 2021 Edward A. Flinn III Award.
— Faisal Hossain
University of Washington
Seattle, Washington