Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Jeffrey R. Arnold"'
Autor:
Katharine J. Mach, Kripa Jagannathan, Linda Shi, Lynée L. Turek‐Hankins, Jeffrey R. Arnold, Christa Brelsford, Alejandro N. Flores, Jing Gao, Carlos E. Martín, David L. McCollum, Richard Moss, Jennifer Niemann, Brenda Rashleigh, Patrick M. Reed
Publikováno v:
Earth's Future, Vol 12, Iss 6, Pp n/a-n/a (2024)
Abstract Climate impacts increasingly unfold in interlinked systems of people, nature, and infrastructure. The cascading consequences are revealing sometimes surprising connections across sectors and regions, and prospects for climate responses also
Externí odkaz:
https://doaj.org/article/f9b3c132943f493bb33a0c9f606270fe
Autor:
Hongxiang Yan, Zhuoran Duan, Mark S. Wigmosta, Ning Sun, Ethan D. Gutmann, Bert Kruyt, Jeffrey R. Arnold
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-9 (2023)
Abstract The current methods for designing hydrological infrastructure rely on precipitation-based intensity-duration-frequency curves. However, they cannot accurately predict flooding caused by snowmelt or rain-on-snow events, potentially leading to
Externí odkaz:
https://doaj.org/article/e74c4f1849994d9686c904058ab153f2
Autor:
Naoki Mizukami, Andrew J. Newman, Jeremy S. Littell, Thomas W. Giambelluca, Andrew W. Wood, Ethan D. Gutmann, Joseph J. Hamman, Diana R. Gergel, Bart Nijssen, Martyn P. Clark, Jeffrey R. Arnold
Publikováno v:
Climate Services, Vol 27, Iss , Pp 100312- (2022)
In the United States, high-resolution, century-long, hydroclimate projection datasets have been developed for water resources planning, focusing on the contiguous United States (CONUS) domain. However, there are few statewide hydroclimate projection
Externí odkaz:
https://doaj.org/article/8d0c9fb9148e4f0a82364f16159d5088
Autor:
Oriana S. Chegwidden, Bart Nijssen, David E. Rupp, Jeffrey R. Arnold, Martyn P. Clark, Joseph J. Hamman, Shih‐Chieh Kao, Yixin Mao, Naoki Mizukami, Philip W. Mote, Ming Pan, Erik Pytlak, Mu Xiao
Publikováno v:
Earth's Future, Vol 7, Iss 6, Pp 623-637 (2019)
Abstract Methodological choices can have strong effects on projections of climate change impacts on hydrology. In this study, we investigate the ways in which four different steps in the modeling chain influence the spread in projected changes of dif
Externí odkaz:
https://doaj.org/article/4e826215220840e9ac94a47b7f2a966f
Autor:
Julie A. Vano, Jeffrey R. Arnold, Bart Nijssen, Martyn P. Clark, Andrew W. Wood, Ethan D. Gutmann, Nans Addor, Joseph Hamman, Flavio Lehner
Publikováno v:
Climate Services, Vol 12, Iss , Pp 1-13 (2018)
Water managers are actively incorporating climate change information into their long- and short-term planning processes. This is generally seen as a step in the right direction because it supplements traditional methods, providing new insights that c
Externí odkaz:
https://doaj.org/article/4b4f5768dbc847e09f6e7ac92c74a519
Publikováno v:
Elementa: Science of the Anthropocene (2014)
Abstract Boreal ecosystems store large quantities of carbon but are increasingly vulnerable to carbon loss due to disturbance and climate warming. The boreal region in Alaska and Canada, largely underlain by discontinuous permafrost, presents a chall
Externí odkaz:
https://doaj.org/article/c1112cb404014073ba3c0c502c33fa10
Autor:
Ethan D. Gutmann, Joseph. J. Hamman, Martyn P. Clark, Trude Eidhammer, Andrew W. Wood, Jeffrey R. Arnold
Publikováno v:
Journal of Hydrometeorology. 23:1545-1561
Statistical processing of numerical model output has been a part of both weather forecasting and climate applications for decades. Statistical techniques are used to correct systematic biases in atmospheric model outputs and to represent local effect
Publikováno v:
Bulletin of the American Meteorological Society. 103:E1213-E1219
Autor:
Patrick T.W. Bunn, Andrew W. Wood, Andrew J. Newman, Hsin-I Chang, Christopher L. Castro, Martyn P. Clark, Jeffrey R. Arnold
Publikováno v:
Journal of Hydrometeorology.
Surface meteorological analyses serve a wide range of research and applications, including forcing inputs for hydrological and ecological models, climate analysis, and resource and emergency management. Quantifying uncertainty in such analyses would
Autor:
Yaping Wang, Martyn P. Clark, Andrew J. Newman, Jeffrey R. Arnold, Thomas W. Giambelluca, Ryan J. Longman, Andrew Monaghan, Roy Rasmussen, Kyoko Ikeda, Lulin Xue
Publikováno v:
Bulletin of Atmospheric Science and Technology. 1:459-490
To better understand the historical and projected future climatology and hydrologic impacts of rainfall over the Hawaiian Islands, regional climate simulations over the main Hawaiian Islands were conducted for two 10-year periods using the Weather Re