Arbitrary-Order Conservative and Consistent Remapping and a Theory of Linear Maps: Part II

By Paul Aaron Ullrich, Dharshi Devendran, Hans Johansen. 2015

76 citations recorded by the source corpus.

Subfields: Computational Mechanics, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/2239903b796e66ce54b8b11d9a75e38e81069c73

How researchers see this paper

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

In Computational Mechanics

1. Jonathan A. Weyn
2. S. Griffies
3. R. Caruana
4. Dale R. Durran
5. R. Stouffer
6. Gokhan Danabasoglu
7. David L. Williamson
8. Christiane Jablonowski

In Electrical and Electronic Engineering

1. Jonathan A. Weyn
2. R. Caruana
3. Dale R. Durran

Citations in the corpus

• OMIP contribution to CMIP6: experimental and diagnostic protocol for the physical component of the Ocean Model Intercomparison Project (2016, methodology): “For example, the unstructured finite volume module of Ringler et al. (2013) makes use of tools detailed in Ullrich and Taylor (2015) for both scalars and vectors (Todd Ringler, personal communication, 2016).”
• Improving Data‐Driven Global Weather Prediction Using Deep Convolutional Neural Networks on a Cubed Sphere (2020, methodology): “all of the remapping between latitude-longitude coordinates and the the cubed-sphere grid is performed offline in the data pre-processing and post-processing pipeline. We use the Tempest-Remap library [41, 40] to perform both forward and inverse globally mass-conservative remapping. Transforming from”