The Everyday World of Simulation Modeling
The Development of Parameterizations in Meteorology
Bibliographic Data
| ID | 5337411 |
|---|---|
| Authors | M Sundberg (0000-0001-7058-3094, Stockholm University, corresponding author) |
| Year | 2009 |
| Volume | 34 |
| Issue | 2 |
| Pages | 162-181 |
| Publication date | 2009-03-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Science Technology & Human Values (JOURNAL) |
| Journal identifiers | ISSN: 0162-2439 • E-ISSN: 1552-8251 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0162243907310215 |
| OpenAlex | W2168610641 |
| Language | EN |
| Citations received | 22 |
| References cited | 25 |
This article explores the practice of simulation modeling by investigating how parameterizations are constructed and integrated into existing frameworks. Parameterizations are simplified process descriptions adapted for simulation models. On the basis of a study of meteorological research, the article presents predictive and representative construction as two different ways of developing parameterizations and the trade-offs involved in this work. Because the overall aim in predictive construction is to improve weather forecasts, the most practical solutions are chosen over the best theoretical solutions. In representative construction, the situation is reversed, but while discourse focuses on theory and models, the everyday work is often tied to computer programs. These different ways of construction work are closely related to the role of the simulation models as epistemic or technical objects, and this characterization is also used to compare the results with previous research
Data science · Industrial engineering · Management science · Computer Science · Engineering · Simulation Techniques and Applications · Species Distribution and Climate Change
In Silico Experiments in Scientific Papers on Molecular Biology
Organizing Simulation Code Collectives
Virtual Engineering
Green simulation, infrastructure, and the planned energy futures of big tech
The dynamics of coordinated comparisons
Fuzzy boundaries
Stakeholder engagement does not guarantee impact
Model migration and rough edges
The Trouble With Thinking Like Arena
Understanding and misunderstanding computer simulation
Lumping, testing, tuning
Cultures of simulations vs. cultures of calculations? The development of simulation practices in meteorology and astrophysics
Virtually Expert
Situating technological and societal futures. Pragmatist engagements with computer simulations and social dynamics
Creating Convincing Simulations in Astrophysics
Learning through Computer Model Improvisations
Visions of Climate Control
Simulation and the reality gap
Burning anticipation
Interpréter dans la grosseur du trait
Performing control
Prognosis
Changing order
Verification, Validation, and Confirmation of Numerical Models in the Earth Sciences
Uncertainty, Complexity and Concepts of Good Science in Climate Change Modelling
Credulous Modellers and Suspicious Experimentalists? Comparison of Model Output and Data in Meteorological Simulation Modelling
Simulation
Seductive Simulations? Uncertainty Distribution Around Climate Models
SSK's Identity Parade
Research from the Boundary Layer
Simulations, Models, and Theories
Simulated Experiments
Boundary-Work and the Demarcation of Science from Non-Science
Calculating the Weather
Sanctioning Models
Experimenting on Theories
Appropriating the Weather
Sociality with Objects
| Unique citing works | 22 |
|---|---|
| Citations per year | 1,38 |
| Citation span | 2010 - 2025 (16) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 22 |