William S. Cleveland

About

William S. Cleveland is the Shanti S. Gupta Distinguished Professor of Statistics and also holds a courtesy appointment as a Professor of Computer Science at Purdue University. His research interests include data visualization, high performance computing for deep analysis of data, both big and small, machine learning, and statistics. Cleveland has made significant contributions to the fields of statistical graphics and data analysis, earning numerous awards such as the Lifetime Achievement Award in Graphics and Computing from the American Statistical Association, the Parzen Prize, and recognition as a Highly Cited Researcher by the American Society for Information Science and Technology. He is a Fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the American Association for the Advancement of Science, among other honors. Cleveland has supervised many Ph.D. students from Purdue University and other institutions, contributing to the advancement of statistical science and data visualization.

Research topics

• Computer Science
• Geography
• Meteorology
• Oceanography
• Environmental science
• Geology
• Political Science
• Climatology
• Atmospheric sciences
• Library science

Selected publications

• Graphical Methods for Data Analysis

  2018-01-18 · 281 citations

  book

  This book present graphical methods for analysing data. Some methods are new and some are old, some require a computer and others only paper and pencil; but they are all powerful data analysis tools. In many situations, a set of data � even a large set- can be adequately analysed through graphical methods alone. In most other situations, a few well-chosen graphical displays can significantly enhance numerical statistical analyses.

  PublisherDOI

• Detection Uncertainty Matters for Understanding Atmospheric Rivers

  Bulletin of the American Meteorological Society · 2020 · 42 citations

  Atmospheric rivers (ARs) are increasingly recognized globally as an important weather phenomenon associated with extreme precipitation. There is a substantial body of literature indicating that ARs are responsible for a large fraction of wet-season precipitation on western coasts (Rutz et al. 2019) and that they can cause large changes in snowpack (both positive and negative; Guan et al. 2010; Chen et al. 2019). Individual ARs and collections of ARs can bring large amounts of precipitation that…

  PublisherOA PDFDOI

• Detection Uncertainty Matters for Understanding Atmospheric Rivers

  2019-12-10 · 10 citations

  preprintOpen access

  The 3rd ARTMIP Workshop What: Over 30 participants from multiple universities and research insititutions met to discuss new results from the Atmospheric River Tracking Method Intercomparison Project. Where: Lawrence Berkeley National Lab, Berkeley, CA, USA When: 16-18 October 2019

  PublisherOA PDFDOI

• Climatology and decadal changes of Arctic atmospheric rivers based on ERA5 and MERRA-2

  Environmental Research Climate · 2023 · 8 citations

  Senior authorCorresponding

  Abstract We present the Arctic atmospheric river (AR) climatology based on twelve sets of labels derived from ERA5 and MERRA-2 reanalyses for 1980–2019. The ARs were identified and tracked in the 3-hourly reanalysis data with a multifactorial approach based on either atmospheric column-integrated water vapor (IWV) or integrated water vapor transport (IVT) exceeding one of the three climate thresholds (75th, 85th, and 95th percentiles). Time series analysis of the AR event counts from the AR labe…

  PublisherOA PDFDOI

• Atlas of Arctic Atmospheric River Climatology Based on ERA5 and MERRA-2

  2022 · 7 citations

  Senior authorCorresponding

  Earth and Space Science Open Archive This preprint has been submitted to and is under consideration at Geophysical Research Letters. ESSOAr is a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]Atlas of Arctic Atmospheric River Climatology Based on ERA5 and MERRA-2AuthorsChenZhangiDWen-WenTungiDWilliam SClevelandSee all authors Chen ZhangiDUnknowniDhttps://orcid.or…

  PublisherDOI

Recent grants

• Statistical Theory and Methods for D&R Analysis of Large Complex Data

  NSF · $315k · 2012–2017

• Scalable Visualization and Model Building

  NSF · $500k · 2009–2013

Frequent coauthors

• Beat Kleiner

  18 shared

• Robert McGill

  14 shared

• John M. Chambers

  Princeton University

  13 shared

• Paul A. Tukey

  13 shared

• Wen‐wen Tung

  12 shared

• Ryan Hafen

  11 shared

• Richard A. Becker

  American Chemistry Council

  10 shared

• Don X. Sun

  10 shared

Education

• B.A., Mathematics

  Princeton

• Ph.D., Statistics

  Yale University

Awards & honors

• Lifetime Achievement Award in Graphics and Computing from th…
• Parzen Prize (2016)
• Highly Cited Researcher by the American Society for Informat…
• Fellow of the Institute of Mathematical Statistics (1999)
• Statistician of the Year by the Chicago Chapter of the Ameri…

Similar researchers at Purdue University

• Chris Cliftonh-51
• Bruce A. Craigh-47
• Anirban DasGuptah-44