Abstract
Atmospheric rivers (ARs) are narrow regions responsible for the majority of the poleward water vapor transport across the midlatitudes. They are characterized by high water vapor content and strong low level winds, and form a part of the broader warm conveyor belt of extratropical cyclones. Although the meridional water vapor transport within ARs is critical for water resources, ARs can also cause disastrous floods especially when encountering mountainous terrain. They were labeled as atmospheric rivers in the 1990s, and have since become a well-studied feature of the midlatitude climate. We briefly review the conceptual model, the methods used to identify them, their main climatological characteristics, their impacts, the predictive ability of numerical weather prediction models, their relationship with large-scale ocean-atmosphere dynamics, possible changes under future climates, and some future challenges.
Introduction
Atmospheric scientists must consider and study both climatological and meteorological aspects of the transport of moisture in the atmosphere (Gimeno et al., ; Gimeno, ). It is particularly important to review the conceptual models of moisture transport to aid research into the origin of continental precipitation. The notion of the atmospheric river (AR) is key to the study of water vapor transport in extratropical regions. In this mini-review we summarize the main characteristics of ARs, which are responsible for the transport of large amounts of water along relatively narrow “rivers” across the midlatitudes toward higher latitudes.
What is an AR?
Most of the water vapor transported meridionally across the midlatitudes (>90% of the total midlatitude vertically integrated water vapor flux) takes place through narrow corridors called atmospheric rivers (Zhu and Newell, ). These transient filamentary regions occur within the warm conveyor belt (WCB) of extratropical cyclones, and are characterized by high water vapor content and strong low level winds (a low level jet). Although first discovered some time ago (e.g., Namias, ; Palmén and Newton, ; Browning and Pardoe, ) we start our mini-review with the seminal work of Newell et al. (), who termed these long (about 2000 km), narrow (about 300–500 km wide) bands of enhanced water vapor flux “tropospheric rivers” (Figure 1). They used the term “rivers” because they transport water at volumetric flow rates similar to those of the world's largest rivers. The word “tropospheric” has since fallen out of favor, and we now use “atmospheric rivers” (ARs, Zhu and Newell, ), although there is still some disagreement on the appropriateness of this term, with alternatives being “tropical moisture exports” (Knippertz and Wernli, ) or “moisture conveyor belts” (Bao et al., ). This last term is thanks to an analogy with the conveyor belt model of extratropical cyclones (Carlson, ), in which the WCB is a broader feature of extratropical cyclones that plays a central role in the transport of sensible and latent heat polewards, to balance the contribution of other components of the cyclone that transport relatively cool and dry air equatorwards. ARs also have colloquial names, such as “Hawaiian fire hose,” or “Pineapple Express” (Lackmann and Gyakum, ), non-technical terms commonly used by forecasters to refer to ARs that connect tropical moisture near the Hawaiian Islands with the west coast of North America; over the central United States ARs have been named the “Maya Express” (Dirmeyer and Kinter, ).
Figure 1
Structure of an AR: observation and modeling
Supplementary Table I lists the key observational and modeling studies concerning the structure of ARs. A typical AR resides within the warm conveyor belt in the pre-cold-frontal region of an extratropical cyclone. Its properties include (Ralph et al.,
Figure 2

Conceptual model scheme of an atmospheric river (AR) over the northeastern Pacific Ocean. (1) Plan-view schematic showing the relative positions of the polar-cold-front and the Low Level Jet (LLJ). The big arrow shows the AR and the blue one the LLJ. In dark green it is showed the concentrated integrated total column of water vapor (IWV) ≥2 cm and in red the associated rain-rate enhancement (RR) ≥0.5 mm/h along the AR. The broken blue line defines a symbolic area of precipitation associated to the full system. The magenta line A–B defines a cross-section projection for (3). The pink segments over the pre-cold-frontal LLJ (with a–b) marked the limits with profiles for (2) are integrated. At the bottom in light green it is showed the tropical IWV reservoir (>3 cm). (Note that the thresholds are regional in essence and the fact of including values in the text and in the diagram is only with illustrative sense) (2) Vertical structure of moisture flux (in red), moist static stability (in green) and wind speed (in blue) along the LLJ [a–b in (1)]. (3) Cross section schematic through an AR [along A–B in (1)] highlighting the vertical structure of the along front isotachs (blue contours; m/s), water vapor specific humidity (dotted green contours; g/kg), and horizontal along front moisture flux (red contours and shading; ×105 kg/s). This figure is a composition using figures adapted from Figure 23(a) by Ralph et al. (
Methods to identify atmospheric rivers
There are two main approaches used to detect ARs: (i) by using Integrated Water Vapor (IWV) from satellite measurements (e.g., Ralph et al.,
A climatological view of ARs
At any time, there are typically three-to-five major conduits in each Hemisphere, each of which transports large amounts of water vapor in narrow streams across the midlatitudes (e.g., Zhu and Newell,
Impact of landfalling ARs
ARs clearly have a dual impact in that they are both responsible for hazards and are the main agent of water resources in many coastal regions (Ralph and Dettinger,
Ability of models to predict ARs
The important question remains of how well ARs can be represented and predicted by numerical weather prediction (NWP) models. Ralph et al. (
Large-scale ocean-atmosphere dynamics and ARs
The connection between occurrence and activity of ARs and large-scale ocean-atmosphere dynamics is very poorly understood. In a single case study (the high-impact AR landfall in the Pacific Northwest during March 2005), Ralph et al. (
Atmospheric rivers in a changing climate
Understanding the possible changes in the frequency and intensity of ARs in future climates is of considerable importance. Changes in the number or intensity of ARs could affect the frequency and magnitude of flooding in a changing climate. It is possible that AR frequency will alter due to changes in the storm track (Ulbrich et al.,
Conclusions
The main advantage of the AR conceptual model is its ability to link intense atmospheric transport of moisture across the midlatitudes with heavy precipitation events. There are plenty of articles in the scientific literature in which strong relationships are shown between ARs and flooding in the midlatitudes, (e.g., western North America, South America, the Norwegian coast and the British Isles). Another important advantage is that the AR model is simple, intuitive, and easy to visualize, allowing simple computations on AR positions, changes, and regional and global contributions of ARs to the hydrological cycle. Finally, the model has the power to attribute major socioeconomic losses to a meteorological phenomenon that is responsible for many of the largest winter floods in the midlatitudes.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Statements
Acknowledgments
The authors would like to thank the Spanish Government, which funded this work through the TRAMO project (cofounded by FEDER).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary material
The Supplementary Material for this article can be found online at: http://www.frontiersin.org/journal/10.3389/feart.2014.00002/abstract
References
1
BaoJ. W.MichelsonS. A.NeimanP. J.RalphF. M.WilczakJ. M. (2006). Interpretation of enhanced integrated water vapor bands associated with extratropical cyclones: their formation and connection to tropical moisture. Mon. Wea. Rev. 134, 1063–1080. 10.1175/MWR3123.1
2
BrowningK. A.PardoeC. W. (1973). Structure of low-level jet streamsahead of midlatitude cold fronts. Q. J. R. Meteorol. Soc. 99, 619–638. 10.1002/qj.49709942204
3
CarlsonT. N. (1980). Mid-latitude Weather Systems. London: HarperCollins Academic.
4
DettingerM. (2011). Climate change, atmospheric rivers, and floods in California—A multimodel analysis of storm frequency and magnitude changes. J. Amer. Water Resour. Assoc. 47, 514–523. 10.1111/j.1752-1688.2011.00546.x
5
DettingerM. D. (2004). Fifty-two years of pineapple-express storms across the west coast of North America. U.S. Geological Survey, Scripps Institution Of Oceanography For The California Energy Commission, Pier Energy-Related Environmental Research. CEC-500-2005-004. Available online at: http://www.energy.ca.gov/2005publications/CEC-500-2005-004/CEC-500-2005-004.PDF
6
DettingerM. D.RalphF. M.DasT.NeimanP. J.CayanD. R. (2011). Atmospheric rivers, floods and the water resources of California. Water3, 445–478. 10.3390/w3020445
7
DirmeyerP. A.KinterJ. L. (2009). The maya express—late spring floods in the U.S. Midwest. Eos. Trans. Amer. Geophys. Union90, 101–102. 10.1029/2009EO120001
8
GimenoL. (2013). Grand challenges in atmospheric science. Front. Earth Sci. 1:1. 10.3389/feart.2013.00001
9
GimenoL.StohlA.TrigoR. M.DominguezF.YoshimuraK.YuL.et al. (2012). Oceanic and terrestrial sources of continental precipitation. Rev. Geophys. 50, RG4003. 10.1029/2012RG000389
10
GuanB.MolotchN. P.WaliserD. E.FetzerE. J.NeimanP. J. (2010). Extreme snowfall events linked to atmospheric rivers and surface air temperature via satellite measurements. Geophys. Res. Lett. 37, L20401. 10.1029/2010GL044696
11
GuanB.MolotchN. P.WaliserD. E.FetzerE. J.NeimanP. J. (2013). The 2010/2011 snow season in California's sierra nevada: role of atmospheric rivers and modes of large-scale variability. Water Resour. Res. 49, 6731–6743. 10.1002/wrcr.20537
12
GuanB.WaliserD. E.MolotchN. P.FetzerE. J.NeimanP. J. (2012). Does the Madden-Julian Oscillation influence wintertime atmospheric rivers and snowpack in the Sierra Nevada?Mon. Wea. Rev. 140, 325–342. 10.1175/MWR-D-11-00087.1
13
JiangT.DengY. (2011). Downstream modulation of North Pacific atmospheric river activity by East Asian cold surges. Geophys. Res. Lett. 38, L20807. 10.1029/2011GL049462
14
KnippertzP.WernliH. (2010). A Lagrangian climatology of tropical moisture exports to the Northern Hemispheric extratropics. J. Climate23, 987–1003. 10.1175/2009JCLI3333.1
15
KnippertzP.WernliH.GläserG. (2013). A global climatology of tropical moisture. J. Climate26, 3031–3045. 10.1175/JCLI-D-12-00401.1
16
LackmannG. M.GyakumJ. R. (1999). Heavy cold-season precipitation in the northwestern United States: synoptic climatology and an analysis of the flood of 17–18 January 1986. Wea. Forecast. 14, 687–700.
17
LaversD. A.AllanR. P.VillariniG.Lloyd-HughesB.BrayshawD. J.WadeA. J. (2013). Future changes in atmospheric rivers and their implications for winter flooding in Britain. Environ. Res. Lett. 8, 034010. 10.1088/1748-9326/8/3/034010
18
LaversD. A.AllanR. P.WoodE. F.VillariniG.BrayshawD. J.WadeA. J. (2011). Winter floods in Britain are connected to atmospheric rivers. Geophys. Res. Lett. 38, L23803. 10.1029/2011GL049783
19
LaversD. A.VillariniG. (2013). The nexus between atmospheric rivers and extreme precipitation across Europe. Geophys. Res. Lett. 40, 3259–3264. 10.1002/grl.50636
20
LaversD. A.VillariniG.AllanR. P.WoodE. F.WadeA. J. (2012). The detection of atmospheric rivers in atmospheric reanalyses and their links to British winter floods and the large-scale climatic circulation. J. Geophys. Res. 117, D20106. 10.1029/2012JD018027
21
MatrosovS. Y. (2013). Characteristics of landfalling atmospheric rivers inferred from satellite observations over the eastern North Pacific Ocean. Mon. Wea. Rev. 141, 3757–3768. 10.1175/MWR-D-12-00324.1
22
NamiasJ. (1939). The use of isentropic analysis in short term forecasting. J. Aeronaut. Sci. 6, 295–298. 10.2514/8.860
23
NeimanP. J.RalphF. M.WickG. A.LundquistJ. D.DettingerM. D. (2008). Meteorological characteristics and overland precipitation impacts of atmospheric rivers affecting the West Coast of North America based on eight years of SSM/I satellite observations. J. Hydrometeor9, 22–47. 10.1175/2007JHM855.1
24
NeimanP. J.SchickL. J.RalphF. M.HughesM.WickG. A. (2011). Flooding in western washington: the connection to atmosphericrivers. J. Hydrometeor. 12, 1337–1358. 10.1175/2011JHM1358.1
25
NewellR. E.NewellN. E.ZhuY.ScottC. (1992). Tropospheric rivers? A pilot study. Geophys. Res. Lett. 19, 2401–2404. 10.1029/92GL02916
26
PalménE.NewtonC. W. (1969). Atmospheric Circulation Systems: Their Structure and Physical Interpretation. New York, NY: Academic Press.
27
RalphF. M.ColemanT.NeimanP. J.ZamoraR. J.DettingerM. D. (2013a). Observed impacts of duration and seasonality of atmospheric-river landfalls on soil moisture and runoff in coastal northern California. J. Hydrometeor. 14, 443–459. 10.1175/JHM-D-12-076.1
28
RalphF. M.IntrieriJ.AndraD.Jr.AtlasR.BoukabaraS.BrightD.et al. (2013b). The emergence of weather-focused testbeds linking research and forecasting operations. Bull. Amer. Meteor. Soc. 94, 1187–1211. 10.1175/BAMS-D-12-00080.1
29
RalphF. M.DettingerM. D. (2011). Storms, floods, and the science of atmospheric rivers. Eos92, 265–266. 10.1029/2011EO320001
30
RalphF. M.NeimanP. J.KiladisG. N.WeickmanK.ReynoldsD. W. (2011). A multi-scale observational case study of a Pacific atmospheric river exhibiting tropical–extratropical connections and a mesoscale frontal wave. Mon. Wea. Rev. 139, 1169–1189. 10.1175/2010MWR3596.1
31
RalphF. M.NeimanP. J.RotunnoR. (2005). Dropsonde Observations in Low-Level Jets over the Northeastern Pacific Ocean from CALJET-1998 and PACJET-2001: Mean Vertical-Profile and Atmospheric-River Characteristics. Mon. Wea. Rev. 133, 889–910. 10.1175/MWR2896.1
32
RalphF. M.NeimanP. J.WickG. A. (2004). Satellite and CALJET aircraftobservations of atmospheric rivers over the eastern North Pacificocean during the winter of 1997/98. Mon. Wea. Rev. 132, 1721–1745. 10.1175/1520-0493(2004)132<1721:SACAOO>2.0.CO;2
33
RalphF. M.NeimanP. J.WickG. A.GutmanS. I.DettingerM. D.CayanD. R.et al. (2006). Flooding on california's russianriver: role of atmospheric rivers. Geophys. Res. Lett. 33, L13801. 10.1029/2006GL026689
34
RalphF. M.SukovichE.ReynoldsD.DettingerM.WeagleS.ClarkW.et al. (2010). Assessment of extreme quantitative precipitation forecasts and development of regional extreme event thresholds using data from HMT-2006 and COOP observers. J. Hydrometeor. 11, 1288–1306. 10.1175/2010JHM1232.1
35
UlbrichU.PintoJ. G.KupferH.LeckebuschG. C.SpangehlT.ReyersM. (2008). Changing northern hemisphere storm tracks in an ensemble of IPCC climate change simulations. J. Climate21, 1669–1679. 10.1175/2007JCLI1992.1
36
WaliserD. E.MoncrieffM. W.BurridgeD.FinkA. H.GochisD.GoswamiB. N.et al. (2012). The year of tropical convection (May 2008–April 2010): climate variability and weather highlights. Bull. Amer. Meteor. Soc. 93, 1189–1218. 10.1175/2011BAMS3095.1
37
WickG. A.NeimanP. J.RalphF. M.HamillT. (2013). Evaluation of forecasts of the water vapor signature of atmospheric rivers in operational numerical weather prediction models. Wea. Forecast. 28, 1337–1352. 10.1175/WAF-D-13-00025.1
38
ZhuY.NewellR. (1998). A proposed algorithm for moisture fluxes from atmospheric rivers. Mon. Wea. Rev. 126, 725–735. 10.1175/1520-0493(1998)126%3C0725:APAFMF%3E2.0.CO;2
Summary
Keywords
atmospheric rivers, transport of moisture, atmospheric branch of the hydrological cycle, intense precipitation, extratropical cyclones
Citation
Gimeno L, Nieto R, Vázquez M and Lavers DA (2014) Atmospheric rivers: a mini-review. Front. Earth Sci. 2:2. doi: 10.3389/feart.2014.00002
Received
27 November 2013
Accepted
14 February 2014
Published
05 March 2014
Volume
2 - 2014
Edited by
Ricardo M. Trigo, Universidade de Lisboa, Portugal
Reviewed by
Olivia Martius, University of Bern, Switzerland; Federico Porcu, University of Ferrara, Italy; Helen Dacre, University of Reading, UK
Copyright
© 2014 Gimeno, Nieto, Vázquez and Lavers.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Luis Gimeno, EPhyslab, Departamento de Física Aplicada, Universidad de Vigo, Campus As Lagoas, 32004 Ourense, Spain e-mail: l.gimeno@uvigo.es
This article was submitted to Atmospheric Science, a section of the journal Frontiers in Earth Science.
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