Development of a next-generation regional weather research and forecast model.

By John Michalakes, Shu‐Hua Chen, Jimy Dudhia, L. Hart, Joseph B. Klemp, J. Middlecoff, William C. Skamarock. 2001

337 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c9cbef0374a8417be2804a39a0a77116a39053aa

How researchers see this paper

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

In Atmospheric Science

Citations in the corpus

A Revised Approach to Ice Microphysical Processes for the Bulk Parameterization of Clouds and Precipitation (2004, methodology): “The two schemes with modifications explained below are being implemented in the Weather Research and Forecasting (WRF) model (Klemp et al. 2000; Michalakes et al. 2001; Chen and Dudhia 2000), as the NCEP simple ice (three classes: vapor, cloud/ice, and rain/snow) and mixed phase (five classes:…”
Storm-Scale Numerical Rainfall Prediction for Five Precipitating Events over France: On the Importance of the Initial Humidity Field (2002, background): “…example, the Weather Research and Forecasting model (WRF), which is currently being developed by a large number of U.S. organizations and which is a candidate to replace the existing forecast models, will emphasize horizontal grid spacing of 1–10 km (Michalakes et al. 2000; Skamarock et al. 2001).”
Land information system: An interoperable framework for high resolution land surface modeling (2006, methodology): “LIS currently uses the ESMF structures to couple with two diﬀerent atmospheric models; the GCE model and the Weather Research and Forecasting (WRF) (Michalakes et al., 2001) model.”
The dependence of aerosol effects on clouds and precipitation on cloud‐system organization, shear and stability (2008, methodology): “[13] For numerical experiments, the Weather Research and Forecasting (WRF) model [Michalakes et al., 2001] is used as a two-dimensional nonhydrostatic compressible model.”
Coherence of Warm-Season Continental Rainfall in Numerical Weather Prediction Models (2003, methodology): “…derived from the National Centers for Environmental Prediction (NCEP) stage-IV analyses (Fulton et al. 1998) and corresponding 3-hourly accumulations from two NWP models, the operational NCEP Eta Model (Black 1994) and the Weather Research and Forecast (WRF) model (Michalakes et al. 2001).”
A Three-Dimensional Variational Data Assimilation System for MM5: Implementation and Initial Results (2004, methodology): “…as a residual of the O 2 B and background error variances (Hollingsworth and Lönnberg 1986). d. Computational optimization A major effort has been to develop a distributed memory (DM) capability for 3DVAR using software designed for the Weather Research Forecast model (Michalakes et al. 2001).”
A Modeling and Observational Framework for Diagnosing Local Land–Atmosphere Coupling on Diurnal Time Scales (2009, background): “The Advanced Research version of the Weather Research and Forecasting (WRF-ARW) model (Michalakes et al. 2001) is a state of the art mesoscale numerical weather prediction system designated as the community model for atmospheric research and operational prediction, and is ideal for regional simulati”
Evaluating Mesoscale NWP Models Using Kinetic Energy Spectra (2004, methodology): “, Otte and Wyngaard (2001); these formulations are not valid at NWP model resolutions nor are they general].”
A One-dimensional Time Dependent Cloud Model (2002, methodology): “We further apply the eddy exchange hypothesis following the notations of Ogura and Takahashi (1971) and Holton (1973).”
Real-Time Mesoscale Modeling Over Antarctica: The Antarctic Mesoscale Prediction System* (2003, background): “While originally organized to exchange information about Polar MM5 physics, the group’s developments should apply to a range of mesoscale models, in particular the new Weather Research and Forecasting (WRF) model ( Michalakes et al. 2001 ).”
A review on the young history of the wind power short-term prediction (2008, background): “studied the sensitivity of wind simulations made by the weather research and forecasting model (WRF) [71] with respect to domain size, frequency supply of the lateral boundary conditions (LBC), planetary boundary layers (PBL) schemes and spatial resolution on the basis of a forecast horizon of up to”
Mechanisms of Up-Valley Winds (2004, methodology): “In order to satisfy the fundamental boundary condition of no flow through the topography, the model uses terrain-following coordinates as described in Michalakes et al. (2000).”
Object-Based Verification of Precipitation Forecasts. Part II: Application to Convective Rain Systems (2006, methodology): “In this paper, we focus on warm season rainfall forecasts from the new Weather Research and Forecasting model (WRF; Michalakes et al. 2001).”
Precipitation Uncertainty Due to Variations in Precipitation Particle Parameters within a Simple Microphysics Scheme (2004, background): “…gilmore@atmos.uiuc.edu stance, the Advanced Regional Prediction System (ARPS; Xue et al. 2001), the Weather Research and Forecasting model (WRF; Michalakes et al. 2001), and the Regional Atmospheric Modeling System (RAMS; Walko et al. 1995) all include simple microphysics packages that…”