A Description of the Advanced Research WRF Model Version 4

By C. Skamarock, B. Klemp, Jimy Dudhia, O. Gill, Zhiquan Liu, J. Berner, Wei Wang, G. Powers, Greg Duda, D. Barker and 1 more. 2019

1,596 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/c1951b9abf4b523db497e5240444b2e3c5e14649

How researchers see this paper

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

In Economics and Econometrics

1. Mauricio A Álvarez
2. Neil D. Lawrence
3. Francky Fouedjio
4. Bruno Sansó
5. Phillip Boyle
6. David Luengo
7. Timothy E. Hanson
8. Haiming Zhou

In Management Science and Operations Research

1. D. Higdon

Citations in the corpus

• Convection‐permitting modeling with regional climate models: Latest developments and next steps (2021, methodology): “Most CPRCMs, such as CRCM5 (Zadra et al., 2008), WRF (Skamarock et al., 2019), COSMO-CLM (Rockel et al., 2008), Met Office Unified Model (Clark et al., 2016), and AROME (Beluši c et al., 2020; Seity et al., 2011), originate from convection-permitting numerical weather prediction (NWP) models, operat”
• Robust bias-correction of precipitation extremes using a novel hybrid empirical quantile-mapping method (2021, methodology): “WRF is a widely used numerical weather prediction system for both research and applied forecasting purposes (Skamarock et al. 2019).”