The Aleutian Low and Winter Climatic Conditions in the Bering Sea
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Aleutian Islands
Ecosystem Status Report 2018 Aleutian Islands Edited by: Stephani Zador1 and Ivonne Ortiz2 1Resource Ecology and Fisheries Management Division, Alaska Fisheries Science Center, National Marine Fisheries Service, NOAA 7600 Sand Point Way NE, Seattle, WA 98115 2 JISAO, University of Washington, Seattle, WA With contributions from: Sonia Batten, Jennifer Boldt, Nick Bond, Anne Marie Eich, Ben Fissel, Shannon Fitzgerald, Sarah Gaichas, Jerry Hoff, Steve Kasperski, Carol Ladd, Ned Laman, Geoffrey Lang, Jean Lee, Jennifer Mondragon, John Olson,Ivonne Ortiz, Wayne Palsson, Heather Renner, Nora Rojek, Chris Rooper, Kim Sparks, Michelle St Martin, Jordan Watson, George A. Whitehouse, Sarah Wise, and Stephani Zador Reviewed by: The Plan Teams for the Groundfish Fisheries of the Bering Sea, Aleutian Islands, and Gulf of Alaska November 13, 2018 North Pacific Fishery Management Council 605 W. 4th Avenue, Suite 306 Anchorage, AK 99301 Aleutian Islands 2018 Report Card Region-wide The North Pacific Index (NPI) was strongly positive from fall 2017 into 2018 due to the relatively high sea level pressure in the region of the Aleutian Low, which was displaced to the northwest, over Siberia, and caused persistent warm winds from the southwest. Positive NPI is expected during La Ni~na,but its magnitude was greater than expected. The Aleutians Islands region experienced suppressed storminess through fall and winter 2017/2018 across the region. The Alaska Stream appears to have been relatively diffuse on the south side of the eastern Aleutian Islands. Although the sea surface temperatures cooled in 2018, relative to the 2014{2017 warm period, the overall temperature was still warm due to heat retention throughout the water column. -
Review of the Draft Climate Science Special Report
THE NATIONAL ACADEMIES PRESS This PDF is available at http://www.nap.edu/24712 SHARE Review of the Draft Climate Science Special Report DETAILS 132 pages | 8.5 x 11 | PAPERBACK ISBN 978-0-309-45664-7 | DOI: 10.17226/24712 CONTRIBUTORS GET THIS BOOK Committee to Review the Draft Climate Science Special Report; Board on Atmospheric Sciences and Climate; Division on Earth and Life Studies; National Academies of Sciences, Engineering, and FIND RELATED TITLES Medicine Visit the National Academies Press at NAP.edu and login or register to get: – Access to free PDF downloads of thousands of scientific reports – 10% off the price of print titles – Email or social media notifications of new titles related to your interests – Special offers and discounts Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the National Academies Press. (Request Permission) Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved. Review of the Draft Climate Science Special Report Committee to Review the Draft Climatee Science Special Report Board on Atmospheric Sciences and Climate Division on Earth and Life Studies A Report of Copyright © National Academy of Sciences. All rights reserved. Review of the Draft Climate Science Special Report THE NATIONAL ACADEMIES PRESS 500 Fifth Street, NW Washington, DC 20001 This study was supported by the National Aeronautics and Space Administration under award numbers NNH14CK78B and NNH14CK79D. Any opinions, findings, conclusions, or recommendations expressed in this publication do not necessarily reflect the views of any organization or agency that provided support for the project. -
Surface Flux Variability Over the North Pacific and North Atlantic Oceans
NOVEMBER 1997 ALEXANDER AND SCOTT 2963 Surface Flux Variability over the North Paci®c and North Atlantic Oceans MICHAEL A. ALEXANDER AND JAMES D. SCOTT CIRES, University of Colorado, Boulder, Colorado (Manuscript received 22 January 1996, in ®nal form 9 May 1997) ABSTRACT Daily ®elds obtained from a 17-yr atmospheric GCM simulation are used to study the surface sensible and latent heat ¯ux variability and its relationship to the sea level pressure (SLP) ®eld. The ¯uxes are analyzed over the North Paci®c and Atlantic Oceans during winter. The leading mode of interannual SLP variability consists of a single center associated with the Aleutian low in the Paci®c, and a dipole pattern associated with the Icelandic low and Azores high in the Atlantic. The surface ¯ux anomalies are organized by the low-level atmospheric circulation associated with these modes in agreement with previous observational studies. The surface ¯ux variability on all of the timescales examined, including intraseasonal, interannual, 3±10 day, and 10±30 day, is maximized along the north and west edges of both oceans and between Japan and the date line at ;358N in the Paci®c. The intraseasonal variability is approximately 3±5 times larger than the interannual variability, with more than half of the total surface ¯ux variability occuring on timescales of less than 1 month. Surface ¯ux variability in the 3±10-day band is clearly associated with midlatitude synoptic storms. Composites indicate upward (downward) ¯ux anomalies that exceed |30 W m22| occur to the west (east) of storms, which move eastward across the oceans at 108±158 per day. -
On the Summertime Strengthening of the Northern Hemisphere Pacific Sea-Level Pressure Anticyclone
On the Summertime Strengthening of the Northern Hemisphere Pacific Sea-Level Pressure Anticyclone Sumant Nigam and Steven C. Chan Department of Atmospheric and Oceanic Science University of Maryland, College Park, MD 20742 (Submitted to the Journal of Climate on November 8, 2007; revised July 27, 2008) Corresponding author: Sumant Nigam, 3419 Computer & Space Sciences Bldg. University of Maryland, College Park, MD 20742-2425; [email protected] Abstract The study revisits the question posed by Hoskins (1996) on why the Northern Hemisphere Pacific sea-level pressure (SLP) anticyclone is strongest and maximally extended in summer when the Hadley Cell descent in the northern subtropics is the weakest. The paradoxical evolution is revisited because anticyclone build-up to the majestic summer structure is gradual, spread evenly over the preceding 4-6 months, and not just confined to the monsoon-onset period; interesting, as monsoons are posited to be the cause of the summer vigor of the anticyclone. Anticyclone build-up is moreover found focused in the extratropics; not subtropics, where SLP seasonality is shown to be much weaker; generating a related paradox in context of Hadley Cell’s striking seasonality. Showing this seasonality to arise from, and thus represent, remarkable descent variations in the Asian monsoon sector, but not over the central-eastern ocean basins, leads to paradox resolution. Evolution of other prominent anticyclones is analyzed to critique development mechanisms: Azores High evolves like the Pacific one, but without a monsoon to its immediate west. Mascarene High evolves differently, peaking in austral winter. Monsoons are not implicated in both cases. Diagnostic modeling of seasonal circulation development in the Pacific sector concludes this inquiry. -
Chapman Conferences
ABSTRACTS listed by name of presenter Alexander, M. Joan (between one day and one week apart). The stratopause temperature and height vary between observation nights on Mountain Wave Momentum Fluxes in the Southern scales of several kilometres and tens of Kelvin as a result of Hemisphere from Satellite Measurements planetary wave activity. The stratopause is also affected by Alexander, M. Joan1; Grimsdell, Alison1; Teitelbaum, Hector2 gravity-wave activity during the night, with the regular passage of inertia-gravity waves changing the stratopause 1. Colorado Research Associates Division, NWRA, Boulder, altitude by up to ~10km over the course of 18 hours. Gravity CO, USA wave dissipation above 40 km occurs during winter, while 2. LMD, Paris, France significant dissipation is only noted below the stratopause Accurate representation of stratospheric winds in the during autumn. Temporally filtered data with ground based Southern Hemisphere in climate models depends on the periods of 2 – 6 hours are examined in addition to the non- parameterization of gravity wave drag. Parameterization of filtered data, with similar seasonal cycles and short-term orographic wave drag is widely considered to be insufficient variability noted. We compare the seasonality of gravity-wave in these models, and additional drag from non-orographic energy with other high latitude sites and suggest that the waves is very important. Previous work has shown the main contribution to wave energy above Davis is from non- stratospheric circulation affects both the seasonal orographic sources. development of the ozone hole, and predicted changes in 21st century Southern Hemisphere climate. Recent Alexander, Simon observational evidence suggests that small islands in the The effect of orographic waves on Antarctic Polar Southern Ocean may be important sources of orographic Stratospheric Cloud (PSC) occurrence and wave drag that is currently missing in existing parameterizations. -
Chapter 7 – Atmospheric Circulations (Pp
Chapter 7 - Title Chapter 7 – Atmospheric Circulations (pp. 165-195) Contents • scales of motion and turbulence • local winds • the General Circulation of the atmosphere • ocean currents Wind Examples Fig. 7.1: Scales of atmospheric motion. Microscale → mesoscale → synoptic scale. Scales of Motion • Microscale – e.g. chimney – Short lived ‘eddies’, chaotic motion – Timescale: minutes • Mesoscale – e.g. local winds, thunderstorms – Timescale mins/hr/days • Synoptic scale – e.g. weather maps – Timescale: days to weeks • Planetary scale – Entire earth Scales of Motion Table 7.1: Scales of atmospheric motion Turbulence • Eddies : internal friction generated as laminar (smooth, steady) flow becomes irregular and turbulent • Most weather disturbances involve turbulence • 3 kinds: – Mechanical turbulence – you, buildings, etc. – Thermal turbulence – due to warm air rising and cold air sinking caused by surface heating – Clear Air Turbulence (CAT) - due to wind shear, i.e. change in wind speed and/or direction Mechanical Turbulence • Mechanical turbulence – due to flow over or around objects (mountains, buildings, etc.) Mechanical Turbulence: Wave Clouds • Flow over a mountain, generating: – Wave clouds – Rotors, bad for planes and gliders! Fig. 7.2: Mechanical turbulence - Air flowing past a mountain range creates eddies hazardous to flying. Thermal Turbulence • Thermal turbulence - essentially rising thermals of air generated by surface heating • Thermal turbulence is maximum during max surface heating - mid afternoon Questions 1. A pilot enters the weather service office and wants to know what time of the day she can expect to encounter the least turbulent winds at 760 m above central Kansas. If you were the weather forecaster, what would you tell her? 2. -
The Lubbock Tornado: an Elevated Mixed Layer Case Study
THE LUBBOCK TORNADO: AN ELEVATED MIXED LAYER CASE STUDY by TERRANCE JAMES CLARK, B.S. A THESIS IN ATMOSPHERIC SCIENCE Submitted to the Graduate Faculty of Texas Tech University in Partial Fulfillment of the Requirements for the Degree of MASTER OF SCIENCE Approved Accepted May, 1988 f\t 1o6 n inr lOo.S ACKNOWLEDGMENTS Cop ^ I wish to extend my sincere thanks to Dr. Richard E. Peterson for his encouragements and understanding during the preparation of this thesis. I would also like to thank Dr. Donald R. Haragan and Dr. Chia Bo Chang for their assistance and advice during the course of this work. Everyone's support throughout this endeavor made the final difference. Both Dr. Peterson's and Dr. Ed Rappaport's hospitality during my final visits will not be forgotten. My sincere thanks go to the United States Air Force for their financial support through the Air Force Institute of Technology and Environmental Technical Application Center. A special thanks goes to Glenna Cilento for her assistance typing this thesis. Finally, a special thanks goes to my wife Terry and children, Jennifer, Christina, Andrea and Matthew, for their understanding and support during the long hours I spent closed-in writing text and drawing figures. Also, my mother Beryl Clark and ten brothers and sisters share in keeping my determination directed toward finishing this project. Without this support, I could never have reached this educational goal. 11 TABLE OF CONTENTS Page ACKNOWLEDGMENTS ii ABSTRACT v LIST OF FIGURES vii CHAPTER I. INTRODUCTION 1 II. DATA SOURCES AND ANALYSIS TECHNIQUE 4 Data Sources 4 Analysis Technique 5 III. -
A Climatological Study of Typhoon Formation and Typhoon Visit to Japan
気象砺究所研究報告 第36巷 第2号 61-118頁 昭和60年6月 Papers in Meteorology and Geophysics、ア01. 36,No. 2,PP,61-118.June 1985 A Climatological Study of Typhoon Formation and Typhoon Visit to Japan by Takashi Aoki* ハ4α¢070Jog1αzlノ~2s2α76h lnsオπ㍑彪,ITsz漉%わα,1わα7α勉,305∫‘功αη (Received Feb.28,1985;Revised March28,1985) Abstract The formation of typhoons in the westem North Pacific and typhoon visits to Japan are investigated from a climatological standpoint.The relationship between the frequency of typhoon formation or typhoon visits and the sea surface temperature in the North Pacific is also studied. First,the formation of typhoons for the30.year period from l953to1982is examined. The average number of typhoons formed is27a year. For the amual var量ation of monthly『 frequency of typhoon formation,the maximum frequency occurs in August and the minimum in February。 Typhoons are formed most frequently in the ocean east of the Philippine Islands.The latitude of typhoon formation moves northward in summer and then retreats equatorward. Secular variation in the frequency of typhoon formation is studied by trend analysis and power spectrum analysis。The frequency showed a peak in the middle of the1960ンs.The frequency of typhoon formation increased until the middle of the1960’s an(i then decreased・ There exist two periodicities of3to4years and6to7years in the secular variation of typhoon formation. In the frequent/infrequeht months of typhoon formation the following characteristics are found. The frequency shows a marked increase north of15。N in the case of frequent typhoon -
A 300-Year History of Pacific Northwest Windstorms Inferred from Tree Rings
Global and Planetary Change 92–93 (2012) 257–266 Contents lists available at SciVerse ScienceDirect Global and Planetary Change journal homepage: www.elsevier.com/locate/gloplacha A 300-year history of Pacific Northwest windstorms inferred from tree rings Paul A. Knapp a,⁎, Keith S. Hadley b a Carolina Tree-Ring Science Laboratory, Department of Geography, University of North Carolina, Greensboro, NC, USA b Geography Department, Portland State University, Portland, OR, USA article info abstract Article history: Hurricane-force winds are frequently allied with mid-latitude cyclones yet little is known about their histor- Received 16 March 2012 ical timing and geographic extent over multiple centuries. This research addresses these issues by extending Accepted 5 June 2012 the historical record of major mid-latitude windstorms along North America's Pacific Northwest (PNW) coast Available online 13 June 2012 using tree-ring data collected from old-growth (>350 years), wind-snapped trees sampled at seven coastal sites in Oregon, USA. Our objectives were to: 1) characterize historical windstorm regimes; 2) determine Keywords: the relationship between high-wind events (HWEs) and phases of the PDO, ENSO and NPI; and 3) test the Pacific Northwest fi Windstorms hypothesis that PNW HWEs have migrated northward. We based our study on the identi cation of tree- Sitka spruce growth anomalies resulting from windstorm-induced canopy changes corresponding to documented Tree rings (1880–2003) and projected HWEs (1701–1880). Our methods identified all major windstorm events Climatic indices recorded since the late 1800s and confirmed that variations in coastal tree-growth are weakly related to tem- perature, precipitation, and drought, but are significantly related to peak wind speeds. -
National Weather Service Glossary Page 1 of 254 03/15/08 05:23:27 PM National Weather Service Glossary
National Weather Service Glossary Page 1 of 254 03/15/08 05:23:27 PM National Weather Service Glossary Source:http://www.weather.gov/glossary/ Table of Contents National Weather Service Glossary............................................................................................................2 #.............................................................................................................................................................2 A............................................................................................................................................................3 B..........................................................................................................................................................19 C..........................................................................................................................................................31 D..........................................................................................................................................................51 E...........................................................................................................................................................63 F...........................................................................................................................................................72 G..........................................................................................................................................................86 -
Arctic Sea Ice Loss Across Climate Models
1 Consistency and discrepancy in the atmospheric response to 2 Arctic sea ice loss across climate models 3 4 James A. Screen1, Clara Deser2, Doug M. Smith3, Xiangdong Zhang4, Russell 5 Blackport1, Paul J. Kushner5, Thomas Oudar5, Kelly E. McCusker6 & Lantao Sun7 6 1College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter EX4 4QE, UK 7 2Climate and Global Dynamics, National Center for Atmospheric Research, Boulder CO 80305, USA 8 3Met Office Hadley Centre, Exeter EX1 3PB UK 9 4International Arctic Research Center & Department of Atmospheric Sciences, University of Alaska 10 Fairbanks, Fairbanks AK 99775, USA 11 5Department of Physics, University of Toronto, Toronto ON M5S 1A7, Canada 12 6Department of Atmospheric Sciences, University of Washington, Seattle WA 98195, USA 13 7Cooperative Institute for Research in Environmental Sciences, University of Colorado Boulder & NOAA 14 Earth System Research Laboratory, Boulder CO 80305, USA 15 16 Abstract 17 The decline of Arctic sea ice is an integral part of anthropogenic climate change. Sea ice loss is 18 already having a significant impact on Arctic communities and ecosystems. Its role as a cause of 19 climate changes outside the Arctic has also attracted much scientific interest. Evidence is mounting 20 that Arctic sea ice loss can affect weather and climate throughout the Northern Hemisphere. The 21 remote impacts of Arctic sea ice loss can only be properly represented using models that simulate 22 interactions among the ocean, sea ice, land and atmosphere. A synthesis of six such experiments 23 with different models shows consistent hemispheric-wide atmospheric warming, strongest in the 24 mid-to-high latitude lower troposphere; an intensification of the wintertime Aleutian Low and, in 25 most cases, the Siberian High; a weakening of the Icelandic Low; and a reduction in strength and 26 southward shift of the midlatitude westerly winds in winter. -
Sitka Hurricane” in South-Eastern Alaska in the Year 1880
Franke J., L. Di Marco, M. Pickl, C. Mock, K. Wood, and S. Brönnimann (2017) The “Sitka Hurricane” in South-Eastern Alaska in the Year 1880. In: Brönnimann, S. (Ed.) Historical Weather Extremes in Reanalyses. Geographica Bernensia G92, p. 59-67, DOI: 10.4480/GB2017.G92.05. The “Sitka Hurricane” in South-Eastern Alaska in the Year 1880 Jörg Franke1*, Lorenzo Di Marco1, Moritz Pickl1, Cary Mock2, Kevin Wood3, and Stefan Brönnimann1 1Oeschger Centre for Climate Change Research and Institute of Geography, University of Bern, Switzerland 2Department of Geography, University of South Carolina, Columbia, United States of America 3National Oceanic and Atmospheric Administration, Pacific Marine Environmental Laboratory, United States of America Abstract The extra-tropical cyclone called “Sitka hurricane” of October 1880 was one of the strongest storms ever to be recorded in the Gulf of Alaska. The USS Jamestown, a military ship moored off the Sitka harbour when the storm made landfall, observed an extremely low pressure of 958 hPa at sea-level and winds of 12 Beaufort. The aim of this study was to analyse this storm in version 2c of the Twentieth Century Reanalysis (20CRv2c), in which the USS Jamestown observations were not assimilated. Because the next assimilated pressure measurements are located more the 1000 km south of Sitka, the storm cannot be found in the 20CRv2c ensemble mean; but multiple ensemble members simulate wind speeds close to the observations. In particular, two ensemble members show a similar pressure and wind-speed evolution at the right time and location. However, they deviate in the observed passage of a cold front and in the location the cyclone deepening.