Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Christopher, J Paciorek"'
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 7, Pp n/a-n/a (2024)
Abstract Humid heatwaves, characterized by high temperature and humidity combinations, challenge tropical societies. Extreme wet‐bulb temperatures (TW) over tropical land are coupled to the warmest sea surface temperatures by atmospheric convection
Externí odkaz:
https://doaj.org/article/5c6faa4cbee643118dc66c8ec2ee97db
Autor:
Michael F. Wehner, Margaret L. Duffy, Mark Risser, Christopher J. Paciorek, Dáithí A. Stone, Pardeep Pall
Publikováno v:
Frontiers in Climate, Vol 6 (2024)
Methods for calculating return values of extreme precipitation and their uncertainty are compared using daily precipitation rates over the Western U.S. and Southwestern Canada from a large ensemble of climate model simulations. The roles of return-va
Externí odkaz:
https://doaj.org/article/1be89114841c4583ae1348ebf0063906
Publikováno v:
Journal of Statistical Software, Vol 100, Pp 1-39 (2021)
nimble is an R package for constructing algorithms and conducting inference on hierarchical models. The nimble package provides a unique combination of flexible model specification and the ability to program model-generic algorithms. Specifically, th
Externí odkaz:
https://doaj.org/article/7903ca0e750e4f20a8ad6b7a3ac1f6a3
Autor:
Christopher J Paciorek, Charles V Cogbill, Jody A Peters, John W Williams, David J Mladenoff, Andria Dawson, Jason S McLachlan
Publikováno v:
PLoS ONE, Vol 16, Iss 2, p e0246473 (2021)
We present gridded 8 km-resolution data products of the estimated stem density, basal area, and biomass of tree taxa at Euro-American settlement of the midwestern United States during the middle to late 19th century for the states of Minnesota, Wisco
Externí odkaz:
https://doaj.org/article/c55c261ff7f04048ab67d560f1d317e6
Autor:
Sally Paganin, Christopher J. Paciorek, Claudia Wehrhahn, Abel Rodríguez, Sophia Rabe-Hesketh, Perry de Valpine
Publikováno v:
Journal of Educational and Behavioral Statistics. 48:147-188
Item response theory (IRT) models typically rely on a normality assumption for subject-specific latent traits, which is often unrealistic in practice. Semiparametric extensions based on Dirichlet process mixtures (DPMs) offer a more flexible represen
Autor:
Gretchen A Stevens, Ty Beal, Mduduzi N N Mbuya, Hanqi Luo, Lynnette M Neufeld, O Yaw Addo, Seth Adu-Afarwuah, Silvia Alayón, Zulfiqar Bhutta, Kenneth H Brown, Maria Elena Jefferds, Reina Engle-Stone, Wafaie Fawzi, Sonja Y Hess, Robert Johnston, Joanne Katz, Julia Krasevec, Christine M McDonald, Zuguo Mei, Saskia Osendarp, Christopher J Paciorek, Nicolai Petry, Christine M Pfeiffer, Maria J Ramirez-Luzuriaga, Lisa M Rogers, Fabian Rohner, Vani Sethi, Parminder S Suchdev, Masresha Tessema, Salvador Villapando, Frank T Wieringa, Anne M Williams, Meseret Woldeyahannes, Melissa F Young
Publikováno v:
The Lancet Global Health. 10:e1590-e1599
Micronutrient deficiencies compromise immune systems, hinder child growth and development, and affect human potential worldwide. Yet, to our knowledge, the only existing estimate of the global prevalence of micronutrient deficiencies is from over 30
Publikováno v:
Weather and Climate Extremes, Vol 20, Iss C, Pp 69-80 (2018)
Event attribution in the context of climate change seeks to understand the role of anthropogenic greenhouse gas emissions on extreme weather events, either specific events or classes of events. A common approach to event attribution uses climate mode
Externí odkaz:
https://doaj.org/article/94b11393a2654f0493f588c6e4967fc6
Autor:
Pardeep Pall, Christina M. Patricola, Michael F. Wehner, Dáithí A. Stone, Christopher J. Paciorek, William D. Collins
Publikováno v:
Weather and Climate Extremes, Vol 17, Iss C, Pp 1-6 (2017)
The Colorado floods of September 2013 caused severe damage and fatalities, and resulted from prolonged heavy rainfall unusual for that time of year – both in its record-breaking amounts and associated weather systems. We investigate the possible ro
Externí odkaz:
https://doaj.org/article/9a69c971ae484581b1aa7631af538ef4
Autor:
Mark D. Risser, William D. Collins, Michael F. Wehner, Travis A. O’Brien, Christopher J. Paciorek, John P. O’Brien, Christina M. Patricola, Huanping Huang, Paul A. Ullrich, Burlen Loring
Publikováno v:
Climate Dynamics, vol 60, iss 3-4
Despite the emerging influence of anthropogenic climate change on the global water cycle, at regional scales the combination of observational uncertainty, large internal variability, and modeling uncertainty undermine robust statements regarding the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87e7ac36354692885eb1271b5ad57212
https://escholarship.org/uc/item/250108n2
https://escholarship.org/uc/item/250108n2
Publikováno v:
Weather and Climate Extremes, Vol 12, Iss C, Pp 24-32 (2016)
Extreme event attribution characterizes how anthropogenic climate change may have influenced the probability and magnitude of selected individual extreme weather and climate events. Attribution statements often involve quantification of the fraction
Externí odkaz:
https://doaj.org/article/7c1aa68372e24fd1acca37dfabf2f57d