Zobrazeno 1 - 10
of 260
pro vyhledávání: '"W, Zwiers"'
Publikováno v:
Geoscience Data Journal, Vol 11, Iss 4, Pp 806-824 (2024)
Abstract Canada‐wide, statistically downscaled simulations of global climate models from the Sixth Coupled Model Inter‐comparison Project (CMIP6) have been made available for 26 models using a new multivariate approach and an improved observation
Externí odkaz:
https://doaj.org/article/e54a5ce53d8b438797dd684a1bea17eb
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 3, Pp n/a-n/a (2024)
Abstract Rare precipitation events with return periods of multiple decades to hundreds of years are particularly damaging to natural and societal systems. Projections of such rare, damaging precipitation events in the future climate are, however, sub
Externí odkaz:
https://doaj.org/article/26dafe212bc940a78a40d8aa52181613
Publikováno v:
Weather and Climate Extremes, Vol 33, Iss , Pp 100332- (2021)
Simultaneous concurrence of extreme values across multiple climate variables can result in large societal and environmental impacts. Therefore, there is growing interest in understanding these concurrent extremes. In many applications, not only the f
Externí odkaz:
https://doaj.org/article/9d3e62a98cf54d688baee78518dfeeb6
Publikováno v:
Hydrology and Earth System Sciences, Vol 23, Pp 811-828 (2019)
In response to ongoing and future-projected global warming, mid-latitude, nival river basins are expected to transition from a snowmelt-dominated flow regime to a nival–pluvial one with an earlier spring freshet of reduced magnitude. There is, howe
Externí odkaz:
https://doaj.org/article/d2937989eda749d994a77299f2b55e2d
Publikováno v:
Weather and Climate Extremes, Vol 30, Iss , Pp 100290- (2020)
We describe in this paper a semi-parametric bivariate extreme value approach for studying rare extreme precipitation events considered as events that result from a combination of extreme precipitable water (PW) in the atmospheric column above the loc
Externí odkaz:
https://doaj.org/article/5ba372bd245c43b6afe7471758be29ea
Autor:
P. J. Kushner, L. R. Mudryk, W. Merryfield, J. T. Ambadan, A. Berg, A. Bichet, R. Brown, C. Derksen, S. J. Déry, A. Dirkson, G. Flato, C. G. Fletcher, J. C. Fyfe, N. Gillett, C. Haas, S. Howell, F. Laliberté, K. McCusker, M. Sigmond, R. Sospedra-Alfonso, N. F. Tandon, C. Thackeray, B. Tremblay, F. W. Zwiers
Publikováno v:
The Cryosphere, Vol 12, Pp 1137-1156 (2018)
The Canadian Sea Ice and Snow Evolution (CanSISE) Network is a climate research network focused on developing and applying state-of-the-art observational data to advance dynamical prediction, projections, and understanding of seasonal snow cover
Externí odkaz:
https://doaj.org/article/b8291e21f8034a04a006a5a5209edbf7
Autor:
C. L. Curry, F. W. Zwiers
Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 2285-2309 (2018)
The Fraser River Basin (FRB) of British Columbia is one of the largest and most important watersheds in western North America, and home to a rich diversity of biological species and economic assets that depend implicitly upon its extensive riverin
Externí odkaz:
https://doaj.org/article/3f52cb81526144dbbc364325b0ba8456
Autor:
Jana Sillmann, Thordis Thorarinsdottir, Noel Keenlyside, Nathalie Schaller, Lisa V. Alexander, Gabriele Hegerl, Sonia I. Seneviratne, Robert Vautard, Xuebin Zhang, Francis W. Zwiers
Publikováno v:
Weather and Climate Extremes, Vol 18, Iss , Pp 65-74 (2017)
Weather and climate extremes are identified as major areas necessitating further progress in climate research and have thus been selected as one of the World Climate Research Programme (WCRP) Grand Challenges. Here, we provide an overview of current
Externí odkaz:
https://doaj.org/article/686fbe0a2b684861a1942f41820b5ddb
Autor:
Francis W. Zwiers, Xuebin Zhang
Publikováno v:
Studies in Big Data ISBN: 9783031299360
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e5fe429faf545b02ad48bca6dea7d67
https://doi.org/10.1007/978-3-031-29937-7_1
https://doi.org/10.1007/978-3-031-29937-7_1
Publikováno v:
Atmosphere-Ocean. 59:269-284