P
Paul A. Ullrich
Researcher at University of California, Davis
Publications - 137
Citations - 3896
Paul A. Ullrich is an academic researcher from University of California, Davis. The author has contributed to research in topics: Precipitation & Geology. The author has an hindex of 30, co-authored 104 publications receiving 2336 citations. Previous affiliations of Paul A. Ullrich include Lawrence Berkeley National Laboratory & University of Michigan.
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Journal ArticleDOI
Atmospheric River Tracking Method Intercomparison Project(ARTMIP): Project Goals and Experimental Design
Christine A. Shields,Jonathan J. Rutz,Lai-Yung Leung,F. Martin Ralph,Michael Wehner,Brian Kawzenuk,Juan M. Lora,Elizabeth McClenny,Tashiana Osborne,Ashley E. Payne,Paul A. Ullrich,Alexander Gershunov,Naomi Goldenson,Bin Guan,Yun Qian,Alexandre M. Ramos,Chandan Sarangi,Scott Sellars,Irina Gorodetskaya,Karthik Kashinath,Vitaliy Kurlin,Kelly Mahoney,Grzegorz Muszynski,R. B. Pierce,Aneesh C. Subramanian,Ricardo Tomé,D. E. Waliser,Daniel Walton,Gary A. Wick,Anna Wilson,David A. Lavers,Prabhat,Allison B. Marquardt Collow,Harinarayan Krishnan,Gudrun Magnusdottir,Phu Nguyen +35 more
TL;DR: The ARTMIP experimental design, timeline, project requirements, and a brief description of the variety of methodologies in the current literature are presented, and results from the 1-month “proof-of-concept” trial run designed to illustrate the utility and feasibility of the project are presented.
Journal ArticleDOI
A conservative semi-Lagrangian multi-tracer transport scheme (CSLAM) on the cubed-sphere grid
TL;DR: A conservative multi-tracer transport algorithm on the cubed-sphere based on the semi-Lagrangian approach (CSLAM) has been developed and exhibits excellent convergence properties and has an option for enforcing monotonicity.
Journal ArticleDOI
TempestExtremes: a framework for scale-insensitive pointwise feature tracking on unstructured grids
TL;DR: A new open-source software framework for automated pointwise feature tracking that is applicable to a wide array of climate datasets using either structured or unstructured grids is described.
Journal ArticleDOI
Impact of Model Resolution on Tropical Cyclone Simulation Using the HighResMIP–PRIMAVERA Multimodel Ensemble
Malcolm J. Roberts,Joanne Camp,Jon Seddon,Pier Luigi Vidale,Kevin I. Hodges,Benoit Vanniere,Jenny Mecking,Rein Haarsma,Alessio Bellucci,Enrico Scoccimarro,Louis-Philippe Caron,Fabrice Chauvin,Laurent Terray,Sophie Valcke,M. P. Moine,Dian Putrasahan,Christopher D. Roberts,Retish Senan,Colin M. Zarzycki,Paul A. Ullrich +19 more
TL;DR: In this article, a multimodel, multiresolution set of simulations over the period 1950-2014 using a common forcing protocol from CMIP6 HighResMIP have been completed by six modeling groups.
Journal ArticleDOI
The Atmospheric River Tracking Method Intercomparison Project (ARTMIP): Quantifying Uncertainties in Atmospheric River Climatology
Jonathan J. Rutz,Christine A. Shields,Juan M. Lora,Ashley E. Payne,Bin Guan,Paul A. Ullrich,Travis A. O'Brien,L. Ruby Leung,F. Martin Ralph,Michael Wehner,Swen Brands,Allison B. Marquardt Collow,Naomi Goldenson,Irina Gorodetskaya,Helen Griffith,Karthik Kashinath,Brian Kawzenuk,Harinarayan Krishnan,Vitaliy Kurlin,David A. Lavers,Gudrun Magnusdottir,Kelly Mahoney,Elizabeth McClenny,Grzegorz Muszynski,Grzegorz Muszynski,Phu Nguyen,Prabhat,Yun Qian,Alexandre M. Ramos,Chandan Sarangi,Scott Sellars,Tamara Shulgina,Ricardo Tomé,Duane E. Waliser,Daniel Walton,Gary A. Wick,Anna Wilson,Maximiliano Viale +37 more
TL;DR: Rutz et al. as discussed by the authors presented results for key AR-related metrics based on 20+ different AR identification and tracking methods applied to Modern-Era Retrospective Analysis for Research and Applications Version 2 reanalysis data from January 1980 through June 2017.