Parameterization Schemes: Keys to Understanding Numerical Weather Prediction Models

168 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Stochastic climate theory and modeling (2015, unknown): “Hence, these missing processes need to be parameterized, i.e. they need to be represented in terms of resolved processes and scales 153 .”
Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High‐Resolution Simulations (2017, background): “The unresolved scales are modeled by a variety of semi-empirical parameterization schemes, which represent the dynamics on subgrid-scales as parametric functions of the resolved dynamics on the computational grid [Stensrud, 2007].”
WeatherBench 2: A Benchmark for the Next Generation of Data‐Driven Global Weather Models (2023, background): “The effect of these processes on the resolved scales has to be approximated in so-called parameterizations (Stensrud, 2007).”
A Review of Planetary Boundary Layer Parameterization Schemes and Their Sensitivity in Simulating Southeastern U.S. Cold Season Severe Weather Environments (2015, unknown): “As such, their effects are expressed in these models via the use of PBL parameterization schemes, whose theoretical development is outlined in multiple sources addressing the subject (e.g., Stull 1988; Holton 2004; Stensrud 2007).”