M
Maziyar Boustani
Researcher at California Institute of Technology
Publications - 8
Citations - 112
Maziyar Boustani is an academic researcher from California Institute of Technology. The author has contributed to research in topics: Climate model & Imaging spectrometer. The author has an hindex of 5, co-authored 8 publications receiving 95 citations. Previous affiliations of Maziyar Boustani include Jet Propulsion Laboratory.
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Journal ArticleDOI
Evaluation of the Surface Climatology over the Conterminous United States in the North American Regional Climate Change Assessment Program Hindcast Experiment Using a Regional Climate Model Evaluation System
Jinwon Kim,Duane E. Waliser,Chris A. Mattmann,Linda O. Mearns,C. E. Goodale,Andrew F. Hart,Daniel J. Crichton,Seth McGinnis,Huikyo Lee,Paul C. Loikith,Maziyar Boustani +10 more
TL;DR: This article evaluated surface air temperature, precipitation, and insolation over the conterminous United States region from the North American Regional Climate Change Assessment Program (NARCCAP) regional climate model hindcast study using the Jet Propulsion Laboratory (JPL) Regional Climate Model Evaluation System (RCMES).
Journal ArticleDOI
Exploring a graph theory based algorithm for automated identification and characterization of large mesoscale convective systems in satellite datasets
K. D. Whitehall,K. D. Whitehall,Chris A. Mattmann,Chris A. Mattmann,Gregory S. Jenkins,Mugizi Robert Rwebangira,Belay Demoz,Duane E. Waliser,Duane E. Waliser,Jinwon Kim,C. E. Goodale,Andrew F. Hart,Paul Ramirez,Michael J. Joyce,Maziyar Boustani,Paul Zimdars,Paul C. Loikith,Huikyo Lee +17 more
TL;DR: The results show that applying graph theory to this problem allows for the identification of features from infrared satellite data and the seamlessly identification in a precipitation rate satellite-based dataset, while innately handling the inherent complexity and non-linearity of mesoscale convective systems.
Journal ArticleDOI
Uncertainties in estimating spatial and interannual variations in precipitation climatology in the India–Tibet region from multiple gridded precipitation datasets
Joowan Kim,J. Sanjay,Chris A. Mattmann,Maziyar Boustani,M. V. S. Ramarao,Raghavan Krishnan,Duane E. Waliser,Duane E. Waliser +7 more
TL;DR: In this paper, uncertainty in calculating the spatial and interannual variability of precipitation over India and Tibet from widely used gridded precipitation datasets is examined for the 29-year period from 1979 to 2007.
Journal ArticleDOI
Cloud computing and virtualization within the regional climate model and evaluation system
Chris A. Mattmann,Chris A. Mattmann,Chris A. Mattmann,Duane E. Waliser,Duane E. Waliser,Jinwon Kim,C. E. Goodale,Andrew F. Hart,Paul Ramirez,Daniel J. Crichton,Paul Zimdars,Maziyar Boustani,Kyo Lee,Paul C. Loikith,K. D. Whitehall,K. D. Whitehall,Christopher Jack,Bruce Hewitson +17 more
TL;DR: The contribution of cloud computing to RCMES’s is explained specifically describing studies of various cloud databases the authors evaluated for RCMED, and virtualization toolkits for RCMET, and their potential strengths in delivering user-created dynamic regional climate model evaluation virtual machines for users.
Proceedings ArticleDOI
SciSpark: Highly interactive in-memory science data analytics
Brian Wilson,Rahul Palamuttam,K. D. Whitehall,Chris A. Mattmann,Alex Goodman,Maziyar Boustani,Sujen Shah,Paul Zimdars,Paul Ramirez +8 more
TL;DR: The usability, extensibility, and early performance of SciSpark are illustrated using several Earth science Use cases, here presenting benchmarks for sciDataset Readers and parallel time-series analytics.