A Comparison of Northwest Cloudbands and Landfalling Atmospheric Rivers Over Australia

Author(s):  
Kara Borthwick ◽  
Hamish McGowan
Keyword(s):  
2017 ◽  
Author(s):  
Nina S. Oakley ◽  
◽  
Jeremy T. Lancaster ◽  
Jason M. Cordeira

2021 ◽  
Vol 567 ◽  
pp. 110293 ◽  
Author(s):  
Christine A. Shields ◽  
Jeffrey T. Kiehl ◽  
William Rush ◽  
Mathew Rothstein ◽  
Mark A. Snyder

2021 ◽  
Author(s):  
Matías Carvajal ◽  
Patricio Winckler ◽  
René Garreaud ◽  
Felipe Igualt ◽  
Manuel Contreras-López ◽  
...  

2021 ◽  
Author(s):  
Héctor Alejandro Inda Díaz ◽  
Travis Allen O'Brien ◽  
Yang Zhou ◽  
William D. Collins

2014 ◽  
Vol 41 (17) ◽  
pp. 6199-6206 ◽  
Author(s):  
Irina V. Gorodetskaya ◽  
Maria Tsukernik ◽  
Kim Claes ◽  
Martin F. Ralph ◽  
William D. Neff ◽  
...  

Author(s):  
Terence J. Pagano ◽  
Duane E. Waliser ◽  
Bin Guan ◽  
Hengchun Ye ◽  
F. Martin Ralph ◽  
...  

AbstractAtmospheric rivers (ARs) are long and narrow regions of strong horizontal water vapor transport. Upon landfall, ARs are typically associated with heavy precipitation and strong surface winds. A quantitative understanding of the atmospheric conditions that favor extreme surface winds during ARs has implications for anticipating and managing various impacts associated with these potentially hazardous events. Here, a global AR database (1999–2014) with relevant information from MERRA-2 reanalysis, QuikSCAT and AIRS satellite observations are used to better understand and quantify the role of near-surface static stability in modulating surface winds during landfalling ARs. The temperature difference between the surface and 1 km MSL (ΔT; used here as a proxy for near-surface static stability), and integrated water vapor transport (IVT) are analyzed to quantify their relationships to surface winds using bivariate linear regression. In four regions where AR landfalls are common, the MERRA-2-based results indicate that IVT accounts for 22-38% of the variance in surface wind speed. Combining ΔT with IVT increases the explained variance to 36-52%. Substitution of QuikSCAT surface winds and AIRS ΔT in place of the MERRA-2 data largely preserves this relationship (e.g., 44% compared to 52% explained variance for USA West Coast). Use of an alternate static stability measure–the bulk Richardson number–yields a similar explained variance (47%). Lastly, AR cases within the top and bottom 25% of near-surface static stability indicate that extreme surface winds (gale or higher) are more likely to occur in unstable conditions (5.3%/14.7% during weak/strong IVT) than in stable conditions (0.58%/6.15%).


2021 ◽  
Author(s):  
Jessica Fayne ◽  
Huilin Huang ◽  
Mike Fischella ◽  
Yufei Liu ◽  
Zhaoxin Ban ◽  
...  

<p>Extreme precipitation, a critical factor in flooding, has selectively increased with warmer temperatures in the Western U.S. Despite this, the streamflow measurements have captured no noticeable increase in large-scale flood frequency or intensity. As flood studies have mostly focused on specific flood events in particular areas, analyses of large-scale floods and their changes have been scarce. For floods during 1960-2013, we identify six flood generating mechanisms (FGMs) that are prominent across the Western U.S., including atmospheric rivers and non-atmospheric rivers, monsoons, convective storms, radiation-driven snowmelt, and rain-on-snow, in order to identify to what extent different types of floods are changing based on the dominant FGM. The inconsistency between extreme precipitation and lack of flood increase suggests that the impact of climate change on flood risk has been modulated by hydro-meteorological and physiographic processes such as sharp increases in temperature that drive increased evapotranspiration and decreased soil moisture. Our results emphasize the importance of FGMs in understanding the complex interactions of flooding and climatic changes and explain the broad spatiotemporal changes that have occurred across the vast Western U.S. for the past 50 years.</p>


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