Explosive cyclogenesis and an atmospheric river

Weather ◽  
2021 ◽  
Author(s):  
David Smart ◽  
Edward Graham
Keyword(s):  
Atmospheric River

scholarly journals Atmospheric River Life Cycle Responses to the Madden Julian Oscillation

2020 ◽  
Author(s):  
Yang Zhou ◽  
Hyemi Kim ◽  
Duane Waliser
Keyword(s):  
Life Cycle ◽  
Madden Julian Oscillation ◽  
Atmospheric River

scholarly journals How well were the early 2017 California Atmospheric River precipitation events captured by satellite products and ground‐based radars?

2018 ◽  
Vol 144 (S1) ◽  
pp. 344-359 ◽  
Author(s):  
Yixin Wen ◽  
Ali Behrangi ◽  
Haonan Chen ◽  
Bjorn Lambrigtsen
Keyword(s):  
Atmospheric River ◽  
Precipitation Events

scholarly journals In Search of The Optimal Atmospheric River Index for US Precipitation: A Multifactorial Analysis

2021 ◽  
Author(s):  
Chen Zhang ◽  
Wen-Wen Tung ◽  
William S Cleveland
Keyword(s):  
Multifactorial Analysis ◽  
Atmospheric River

scholarly journals A Dusty Atmospheric River Brings Floods to the Middle East

2021 ◽  
Author(s):  
Amin Dezfuli ◽  
Michael G. Bosilovich ◽  
Donifan Barahona
Keyword(s):  
Middle East ◽  
Atmospheric River

Representation of dropsonde‐observed atmospheric river conditions in reanalyses

2021 ◽  
Author(s):  
A. Cobb ◽  
L. Delle Monache ◽  
F. Cannon ◽  
F. M. Ralph
Keyword(s):  
Atmospheric River

scholarly journals Predictability of Extreme Precipitation in Western U.S. Watersheds Based on Atmospheric River Occurrence, Intensity, and Duration

2018 ◽  
Vol 45 (21) ◽  
pp. 11,693-11,701 ◽  
Author(s):  
Xiaodong Chen ◽  
L. Ruby Leung ◽  
Yang Gao ◽  
Ying Liu ◽  
Mark Wigmosta ◽  
...  
Keyword(s):  
Extreme Precipitation ◽  
Atmospheric River

scholarly journals Evaluation of the Moisture Sources in two Extreme Landfalling Atmospheric River Events using an Eulerian WRF-Tracers tool

2017 ◽  
Author(s):  
Jorge Eiras-Barca ◽  
Francina Dominguez ◽  
Huancui Hu ◽  
A. Daniel Garaboa-Paz ◽  
Gonzalo Miguez-Macho
Keyword(s):  
Cross Sections ◽  
North Atlantic ◽  
Cold Front ◽  
Wrf Model ◽  
Atmospheric River ◽  
The North ◽  
Northern Latitudes ◽  
The Pacific ◽  
Low Level Jet ◽  
Tropical Moisture

Abstract. A new 3D Tracer tool is coupled to the WRF model to analyze the origin of the moisture in two extreme Atmospheric River (AR) events: the so-called Great Coast Gale of 2007 in the Pacific Basin, and the Great Storm of 1987 in the North Atlantic. Results show that between 80 % and 90 % of the moisture advected by the ARs, as well as between 70 % and 80 % of the associated precipitation have a tropical or subtropical origin. Local convergence transport is responsible for the remaining moisture and precipitation. The ratio of tropical moisture to total moisture is maximized as the cold front arrives to land. Vertical cross sections of the moisture suggest that the maximum in humidity does not necessarily coincide with the Low-Level Jet (LLJ) of the extratropical cyclone. Instead, the amount of tropical humidity is maximized in the lowest atmospheric level in southern latitudes, and can be located above, below or ahead the LLJ in northern latitudes in both analyzed cases.

scholarly journals Influence of Atmospheric Rivers on Mountain Snowpack in the Western United States

2018 ◽  
Vol 31 (24) ◽  
pp. 9921-9940 ◽  
Author(s):  
N. Goldenson ◽  
L. R. Leung ◽  
C. M. Bitz ◽  
E. Blanchard-Wrigglesworth
Keyword(s):  
United States ◽  
Sierra Nevada ◽  
Snow Water Equivalent ◽  
Region Of Interest ◽  
Internal Variability ◽  
Western United States ◽  
Historical Period ◽  
Atmospheric Rivers ◽  
Atmospheric River ◽  
The Impact

In the coastal mountains of western North America, most extreme precipitation is associated with atmospheric rivers (ARs), narrow bands of moisture originating in the tropics. Here we quantify how interannual variability in atmospheric rivers influences snowpack in the western United States in observations and a model. We simulate the historical climate with the Model for Prediction Across Scales (MPAS) with physics from the Community Atmosphere Model, version 5 [CAM5 (MPAS-CAM5)], using prescribed sea surface temperatures. In the global variable-resolution domain, regional refinement (at ~30 km) is applied to our region of interest and upwind over the northeast Pacific. To better characterize internal variability, we conduct simulations with three ensemble members over 30 years of the historical period. In the Cascade Range, with some exceptions, winters with more atmospheric river days are associated with less snowpack. In California’s Sierra Nevada, winters with more ARs are associated with greater snowpack. The slope of the linear regression of observed snow water equivalent (SWE) on reanalysis-based AR count has the same sign as that arrived at using the model, but is statistically significant in observations only for California. In spring, internal variance plays an important role in determining whether atmospheric river days appear to be associated with greater or less snowpack. The cumulative (winter through spring) number of atmospheric river days, on the other hand, has a relationship with spring snowpack, which is consistent across ensemble members. Thus, the impact of atmospheric rivers on winter snowpack has a greater influence on spring snowpack than spring atmospheric rivers in the model for both regions and in California consistently in observations.

scholarly journals The Relationship Between Extratropical Cyclone Strength and Atmospheric River Intensity and Position

2019 ◽  
Vol 46 (3) ◽  
pp. 1814-1823 ◽  
Author(s):  
Zhenhai Zhang ◽  
F. Martin Ralph ◽  
Minghua Zheng
Keyword(s):  
Extratropical Cyclone ◽  
Atmospheric River ◽  
The Relationship
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