3.1.3.B-K.Kawashima-Japan Cryospheric Activities

Total Page:16

File Type:pdf, Size:1020Kb

3.1.3.B-K.Kawashima-Japan Cryospheric Activities Global Cryosphere Watch (GCW), CryoNet Asia Workshop, Second Session Overview of in situ snow depth observations and data sources in Japan Katsuhisa KAWASHIMA (Niigata University, Japan) [email protected] Tsutomu IYOBE (Kyoto University, Japan) [email protected] 2016012416JST Weather Home, Kochi Univ. | NICT | Himawari-8 VIS, JMA| Blue Marble, NASA Contents Seasonal snow cover area in Japan Topography and development of snow clouds Snow depth distribution Snow-depth observation in Japan Distribution of observation stations Density and altitudinal distribution of stations Actual observation situation Database location Recent efforts of our group Quasi-real-time snow depth monitoring system Topography of Japan Hokkaido Mostly rugged and mountainous area. (about 70% of the land in the 0 1000 2000 ≤ mountains above 300m) Elevation (m) The Backbone Ranges extend 1200km north to south with altitudes above 1500m. Distribution of snow depth is profoundly affected by topographical Honshu features. Shikoku Kyushu 500 0 500 1000 km Development of snow clouds Much of snow deposit on the windward slopes of backbone ranges northwest seasonal wind Dry & clear sky cold air mass heavy snowfalls west coast east coast Eurasian Warm water Backbone land mass (around 10 ℃) Ranges Sea of Japan Pacific Ocean Snow depth distribution in heavy snow winter 2006/02/06 Snowbelt along the Sea of Japan Snow-depth observation in Japan Organization Areal Number of Frequency Purpose Coverage Stations & Elevation Japan All over Japan 330 Every 10 Monitoring of Meteorological 0.5 – 1291m minutes or weather and climate Agency (JMA) hourly Ministry of Land, a) Dams 96 Hourly a) Water-resource Infrastructure, Basins 28 – 1566 m management Transport and b) Main roads 480 b) Road snow Tourism (MLIT) 0 – 2087 m removal Local government Local roads 1049 Hourly Road snow removal (Prefecture) 0 – 542 m Local government Settlements 173 Mainly daily Regional disaster (City) 3 – 345 m (generally at prevention (rescue, 9 a.m. local support of roof snow time) removal, etc.) Research institute Mountainous 24 Every 10 Monitoring of & University areas 20 – 2190 m minutes or weather and hourly climate Distribution of observation stations JWA MLIT MLIT (River) (Road) Research Pref. City institute & University Distribution of observation stations 2,307 Stations 15 January 2016 0 500 1000 1500 2000 2500 m Elevation (m) Density of observation sites Average coverage area of a site Density The Sea of Japan area (N/10km2) 2 = 9.1 km / site 1 2 3 4 - 6 7 - 11 The Pacific area = 39 km2 / site Altitudinal distribution of observation stations Number of stations 800 Stations in the lowland area below 200 m account for 70 % 700 600 500 400 300 200 100 poor 0 50 100 200 300 400 500 600 700 800 900 1000 1500 2000 2500 < 50 < < 100 < < 800 < < 200 < 300 < 400 < 500 < 600 < 700 < 900 < < 2,000 < < 1,000 < 1,500 < 2,500 < Altitude (m) Wind speed AMeDAS, JMA & direction Automated Meteorological Data Sunshine Acquisition System, JMA duration Air temperature Laser snow-depth sensor Precipitation Raod Weather Information System - Niigata Prefecture - Antenna Air temperature Ultrasonic snow-depth sensor Manual snow-depth observation - Ojiya City - Snow stake Snow board Database location (JWA) Current data Current snow depth data is available at http://www.jma.go.jp/jma/indexe.html Database location (JWA) Past data Period selection Site selection Since around 1900 (*differ with the site) Elements selection (snow depth, snowfall, temperature, humidity, precipitation, wind speed & direction, etc) Download as CSV file http://www.data.jma.go.jp/gmd/risk/obsdl/index.php Japanese only Database location (MLIT) Current and past data Water Information System http://www1.river.go.jp/ Search stations from the map Water Information System yyyy/mm/dd time Snow depth (cm) Japanese only Recent efforts of our group ・Our research group has developed “Quasi-real-time snow depth monitoring system” and started to collect automatically the real-time snow depth data all over Japan from Dec. 2015. ・Some of the information are provided via the web site. (a) Display of the web site (b) Target of monitoring stations http://platform.nhdr.niigata-u.ac.jp/~snow-map/index.php?Newtoppage Information provision on the web site Other information Regional maps Daily snow 24-hour change (a) Daily snow depth vs. same day last year (b) 24-hour change The latest information of snow depth maps using the observation data are displayed. Change of snow depth distribution from 20 Dec 2015 to 28 Jan 2016 *Animation He is mysterious. One day, I tracked him in secret. Thank you for your attention He disappeared into another world. Monitoring stations of snow water equivalent in Japan Mt. Iwaki Fujisaki (1238m) (20m) Gassan-Shizu Shinjo (700m) (127m) Gassan-Ebigasawa (1150m) Myoko Sasagamine (1310m) Niigata Daisen Kagamiganaru (875m) Nishiyama-yakushi Nagaoka (320m) (97m) Tochio-Tashiro (423m) Okutadami- maruyama (1200m) 0 500 1000 1500 2000 2500 m Unonuma-Oimokawa (255m) SWE stations of Snow and Ice Research Center, NIED ・SWE measurements are made by 11 stations using the pressure-pillow meter Snow depth distribution in heavy snow winter 2006/02/06 HS (cm) 500 400 N) - deg 300 200 Latitude ( 100 1 132 134 136 138 140 142 144 Longitude (deg-E) Comparison of snow depth distribution in 2005/06 and 2006/07 2006/02/06 2007/02/16 Niigata Niigata .
Recommended publications
  • Chapter 3 the Development of North American Cities
    CHAPTER 3 THE DEVELOPMENT OF NORTH AMERICAN CITIES THE COLONIAL F;RA: 1600-1800 Beginnings The Character of the Early Cities The Revolutionary War Era GROWTH AND EXPANSION: 1800-1870 Cities as Big Business To The Beginnings of Industrialization Am Urhan-Rural/North-South Tensions ace THE ERA OF THE GREAT METROPOLIS: of! 1870-1950 bui Technological Advance wh, The Great Migration cen Politics and Problems que The Quality of Life in the New Metropolis and Trends Through 1950 onl tee] THE NORTH AMERICAN CIITTODAY: urb 1950 TO THE PRESENT Can Decentralization oft: The Sun belt Expansion dan THE COMING OF THE POSTINDUSTRIAL CIIT sug) Deterioration' and Regeneration the The Future f The Human Cost of Economic Restructuring rath wor /f!I#;f.~'~~~~'A'~~~~ '~·~_~~~~Ji?l~ij:j hist. The Colonial Era Thi: fron Growth and Expansion coa~ The Great Metropolis Emerges to tJ New York Today new SUMMARY Nor CONCLUSION' T Am, cent EUf( izati< citie weal 62 Chapter 3 The Development of North American Cities 63 Come hither, and I will show you an admirable cities across the Atlantic in Europe. The forces Spectacle! 'Tis a Heavenly CITY ... A CITY to of postmedieval culture-commercial trade be inhabited by an Innumerable Company of An· and, shortly thereafter, industrial production­ geL" and by the Spirits ofJust Men .... were the primary shapers of urban settlement Put on thy beautiful garments, 0 America, the Holy City! in the United States and Canada. These cities, like the new nations themselves, began with -Cotton Mather, seventeenth· the greatest of hopes. Cotton Mather was so century preacher enamored of the idea of the city that he saw its American urban history began with the small growth as the fulfillment of the biblical town-five villages hacked out of the wilder· promise of a heavenly setting here on earth.
    [Show full text]
  • Climatic Summary of Snowfall and Snow Depth in the Ohio Snowbelt at Chardon1
    Ohio J. Science ENVIRONMENTAL EDUCATION 101 Climatic Summary of Snowfall and Snow Depth in the Ohio Snowbelt at Chardon1 THOMAS W. SCHMIDLIN, Geography Department and Water Resources Research Institute, Kent State University, Kent, OH 44242 ABSTRACT. Snowfall records were examined for the period 1945-85 at Chardon, OH, the only station with a long climatic record in the snowbelt. Average seasonal snowfall was 269 cm (106 in) with a seasonal maxi- mum of 410 cm (161 in). Seasonal snowfall was positively correlated with other sites in the lower Great Lakes snowbelts and along the western slope of the Appalachians from Tennessee to Quebec, but was not correlated with snowfall in the snowbelts of the upper Lakes. The time series of seasonal snowfall was not random but showed weak year-to-year persistence. The average number of days with 2.5 cm (1 in) of snow- fall was 35. The average dates of the first and last 2.5 cm snowfalls of the winter were 10 November and 4 April. The largest two-day snowfall of the winter averaged 33 cm. The average number of days with 2.5 cm of snow cover was 82. Daily probability of snow cover reached the seasonal maximum of 86% in mid-January and early February. These results may be reasonably extrapolated throughout the Ohio snow- belt for applications in vegetation studies, animal ecology, hydrology, soil science, recreation, and transpor- tation studies. OHIO J. SCI. 89 (4): 101-108, 1989 INTRODUCTION Great Lakes (Muller 1966, Eichenlaub 1970). The Lake The Great Lakes exert a significant influence on the Erie snowbelt extends from the eastern suburbs of regional climate (Changnon and Jones 1972, Eichen- Cleveland through extreme northeastern Ohio into laub 1979).
    [Show full text]
  • Synoptic Climatology of Lake-Effect Snow Events Off the Western Great Lakes
    climate Article Synoptic Climatology of Lake-Effect Snow Events off the Western Great Lakes Jake Wiley * and Andrew Mercer Department of Geosciences, Mississippi State University, 75 B. S. Hood Road, Starkville, MS 39762, USA; [email protected] * Correspondence: [email protected] Abstract: As the mesoscale dynamics of lake-effect snow (LES) are becoming better understood, recent and ongoing research is beginning to focus on the large-scale environments conducive to LES. Synoptic-scale composites are constructed for Lake Michigan and Lake Superior LES events by employing an LES case repository for these regions within the U.S. North American Regional Reanalysis (NARR) data for each LES event were used to construct synoptic maps of dominant LES patterns for each lake. These maps were formulated using a previously implemented composite technique that blends principal component analysis with a k-means cluster analysis. A sample case from each resulting cluster was also selected and simulated using the Advanced Weather Research and Forecast model to obtain an example mesoscale depiction of the LES environment. The study revealed four synoptic setups for Lake Michigan and three for Lake Superior whose primary differences were discrepancies in a surface pressure dipole structure previously linked with Great Lakes LES. These subtle synoptic-scale differences suggested that while overall LES impacts were driven more by the mesoscale conditions for these lakes, synoptic-scale conditions still provided important insight into the character of LES forcing mechanisms, primarily the steering flow and air–lake thermodynamics. Keywords: lake-effect; climatology; numerical weather prediction; synoptic; mesoscale; winter weather; Great Lakes; snow Citation: Wiley, J.; Mercer, A.
    [Show full text]
  • The State of Asian Pacific America
    THE STATE OF ASIAN PACIFIC AMERICA THE STATE OFASIANPACIFICAMERICA: ECONOMIC DIVERSITY, ISSUES & POLICIES A Public Policy Report PAULONG Editor LEAP Asian Pacific American Public Policy Institute and UCLA Asian American Studies Center 1994 Leadership Education for Asian Pacifies (LEAP), 327 East Second Street, Suite 226, Los Angeles, CA 90012-4210 UCLA Asian American Studies Center, 3230 Campbell Hall, 405 Hilgard Avenue, Los Angeles, CA 90024-1546 Copyright© 1994 by LEAP Asian Pacific American Public Policy Institute and UCLA Asian American Studies Center All rights reserved. Printed in the United States of America. ISBN: 0-934052-23-9 Cover design: Mary Kao The State of Asian Pacific America: Economic Diversity, Issues & Policies Paul Ong, Editor Table of Contents Preface vii Don T. Nakanishi and J. D. Hokoyama Chapter 1 Asian Pacific Americans and Public Policy 1 Paul Ong Part I. Overviews Chapter 2 Historical Trends 13 Don Mar and Marlene Kim Chapter3 Economic Diversity 31 Paul Ong and Suzanne J. Hee Chapter4 Workforce Policies 57 Linda C. Wing Part II. Case Studies Chapter5 Life and Work in the Inner-City 87 Paul Ong and Karen Umemoto v Chapter6 Welfare and Work Among Southeast Asians 113 Paul Ong and Evelyn Blumenberg Chapter 7 Health Professionals on the Front-line 139 Paul Ong and Tania Azores Chapter 8 Scientists and Engineers 165 Paul Ong and Evelyn Blumenberg Part UI. Policy Essays Chapter9 Urban Revitalization 193 Dennis Arguelles, Chanchanit Hirunpidok, and Erich Nakano Chapter 10 Welfare and Work Policies 215 Joel F. Handler and Paul Ong Chapter 11 Health Care Reform 233 Geraldine V.
    [Show full text]
  • 14912441.Pdf
    Khants' Time Hanna Snellman KIKIMORA PUBLICATIONS Series B: 23 Helsinki 2001 © 2001 Aleksanterl Institute © Hanna Snellman ©All photographs by U.T. Sirelius,The National Board of Antiquities Khants' Time ISBN 951-45-9997-7 ISSN 1455-4828 Aleksanteri Institute Graphic design: Vesa Tuukkanen Gummerus Printing Saarijärvi 2001 Table of Content FOREWORD 5 1. INTRODUCTION 7 1.1. Studying the Khants 7 1.2. Sirelius as a Fieldworker 13 1.3. Fieldwork Methodology 20 1.4. Investigating Time 34 2. METHOD OF RECORDING TIME 39 2.1. The Vernacular Calendar 39 2.2. The Christian Calendar 95 2.3. The Combination of the Vernacular and Russian Calendars 104 3. FOLK HISTORY 133 3.1. In the Old Days 138 3.2. From the Russians 141 3.3. After the Forest Fires 144 4. WHEN THE LEAVES ARE FALLING 149 BIBLIOGRAPHY 163 Foreword I started working on this book in August 1998. Almost two years had passed after my dissertation on the lumberjacks of Finnish Lapland. I was still occupied with forest history, but I knew that in order to develop as a scientist, I had to leave the familiar ri­ vers and fells of Finnish Lapland, and do research on something else. Professor Juhani U.E. Lehtonen at the University of Helsinki gave me a hint: there are copies of fieldwork notes written by U.T. Sirelius in our archive. Give them a look, Lehtonen advised me, no doubt with the hope that his student would not ignore one of the emphases of the ethnology department's activities, issues concerning Finno-Ugric peoples, including therefore both East Europe and Russia.
    [Show full text]
  • Winter-Spring 2020 SCD Newsletter
    Shiawassee Conservation District Your Land, Your Water ~ Your Michigan 1900 S. Morrice Road ● Owosso, MI 48867 ● (989) 723-8263, Ext. 3 Winter/Spring 2020 Shiawassee Conservation District Annual Meeting Thursday, February 20, 2020 Doors open at 5:30 PM, Dinner served at 6:00 PM D’Mar Banquet & Conference Center 1488 N. M-52, Owosso RSVP February 12, 2020 Shiawassee Conservation District (989) 723-8263, ext. 3 James Ziola will be honored as the 2019 Conservation Farmer of the Year Special presentation by Jerry Miller, President Michigan Association of Conservation Districts We are honored to be joined by Gerald “Jerry” Miller, Ph.D., CPSS, and President, MACD. As a leader in conservation, Jerry will discuss today’s conservation issues in Michigan and the nation. Dr. Miller served as a Professor of Agronomy at Iowa State University for 37 years, and later as an associate dean. During his academic career he conducted applied research in soil and water conservation, watershed management, and soil productivity and interpretation. Jerry was raised on a farm in the Shenandoah Valley, VA and currently resides in Cascade Township, Kent County, where he serves as the board chair of the Kent Conservation District Board. If you need accommodations to participate in this event, please contact the Shiawassee Conservation District at (989) 723-8263, ext. 3 by February 12, 2020. USDA is an equal opportunity employer, provider, and lender. High Pollution Levels Found in Maple River Watershed The Shiawassee Conservation human use. This study also finds that water for recreation. The high levels of District recently collected a series of human and bovine waste is found in bacteria found in Maple River water samples in the Maple River all surface water in the watershed.
    [Show full text]
  • Hiawatha National Forest Non-Native Invasive Plant Control Project
    Hiawatha National Forest Non-native Invasive Plant Control Project Environmental Assessment Hiawatha National Forest Alger, Chippewa, Delta, Mackinac, Marquette, and Schoolcraft counties, Michigan April 2007 Spotted knapweed (Centaurea biebersteinii ) Responsible Official: Thomas A. Schmidt Forest Supervisor Hiawatha National Forest 2727 North Lincoln Road Escanaba, MI 49829 For Further Information Contact: Kirk Piehler Forest Wildlife Biologist Hiawatha National Forest 2727 North Lincoln Road Escanaba, MI 49829 (906) 789-3374 HNF Non-native Invasive Plant Control Project Environmental Assessment The U.S. Department of Agriculture (USDA) prohibits discrimination in all its programs and activities on the basis of race, color, national origin, age, disability, and where applicable, sex, marital status, familial status, parental status, religion, sexual orientation, genetic information, political beliefs, reprisal, or because all or part of an individual's income is derived from any public assistance program. (Not all prohibited bases apply to all programs.) Persons with disabilities who require alternative means for communication of program information (Braille, large print, audiotape, etc.) should contact USDA's TARGET Center at (202) 720-2600 (voice and TDD). To file a complaint of discrimination, write to USDA, Director, Office of Civil Rights, 1400 Independence Avenue, S.W., Washington, DC 20250-9410, or call (800) 795-3272 (voice) or (202) 720-6382 (TDD). USDA is an equal opportunity provider and employer. Cover Photograph Credits: John M. Randall, The Nature Conservancy Inset: USDA APHIS Archives Both are spotted knapweed ( Centaurea biebersteinii ) This document was printed on recycled paper. 2 HNF Non-native Invasive Plant Control Project Environmental Assessment TABLE OF CONTENTS TABLE OF CONTENTS .................................................................................................. 2 Vicinity Map – Hiawatha National Forest (HNF) .............................................................
    [Show full text]
  • Forecasting Lake Effect Snow Off of Southern Lake Michigan a Primer
    Forecasting Lake Effect Snow off of Southern Lake Michigan A Primer Anthony Patrick Acciaioli 8/1/2009 Anthony Acciaioli Valparaiso University August 2009 Forecasting Lake Effect Snow off of Southern Lake Michigan: A Primer January in The Great Lakes: its typical ingredients include bouts of heavy snow, waves of arctic cold, and bursts of biting wind. It’s a particularly brutal winter, and The Great Lakes Region is experiencing frequent winter storms. Yet another potent mid-latitude cyclone pulls northeast into Canada. Cities such as Chicago and Milwaukee, now covered in a clean and deep blanket of snow, are beginning to clear out as cold, Canadian High Pressure slowly noses into The Northern Plains. Yet, as some folks enjoy a brief respite from winter’s snowy grasp, residents of cities such as Gary and Valparaiso, Indiana, are wondering: “When is this snow going to end?” Unfortunately, it isn’t simply a matter of residual flurries; rather, it is just the beginning of a significant, northerly flow lake effect snow (LES) event over Northwest Indiana. In this paper, I will begin by presenting a basic overview of LES climatology in The Great Lakes region. Next, I will offer a brief review of parameters which are favorable for its generation and sustenance. Finally, I will utilize two case studies: December 20th, 2004 and February 3rd and 4th, 2009, both significant LES events for Northwest Indiana (a region which I will more precisely define later on), as windows into particular patterns which lead to significant LES accumulations off of Southern Lake Michigan. In a nutshell, lake effect snow occurs when Continental Polar (cP) air blows across relatively mild lake waters.
    [Show full text]
  • 01. Title, Aboutpub,Exec.Pm
    3. POTENTIAL FUTURES warming will occur in the western part of the region than in the eastern part. The net change may be a decrease in the prepared by diurnal temperature range in the west and an increase in the east. The decreased diurnal temperature range may suggest Peter J. Sousounis University of Michigan, Ann Arbor, Michigan slightly more cloudiness or humidity over the western part of the region. The models also suggest that summer precipita- George M. Albercook tion will increase by 15-25%. Center for Environmental Policy, Economics and Science (CEPES), Ann Arbor, Michigan Larger differences between the two models exist in winter. In- creases in the minimum temperature of 7.2 - 10.8°F (4-6°C) Climate from southeast to northwest are projected by the CGCM1 sce- nario and 0.9-4.5°F (0.5-2.5°C) from east to west by the HadCM2 scenario. Increases in the maximum temperature of The regional climate through the end of the 21st century will 3.6 -5.4°F (2-3°C) from north to south are projected by the likely be warmer and wetter. The questions of how much warmer CGCM1 scenario. and increases 0.9-4.5°F (0.5-2.5°C) from west and how much wetter may be answered by examining output to east by the Hadley scenario. Wintertime precipitation is from two General Circulation Models (GCMs): the Canadian slightly less in the HadCM2 than in the CGCM1 scenario, which Model (CGCM1) [1-4] and the United Kingdom Hadley Model - generates precipitation that is similar to present day values.
    [Show full text]
  • Spatial and Temporal Variability of Midwest Winter Severity Jefferson David Wright Southern Illinois University Carbondale, [email protected]
    Southern Illinois University Carbondale OpenSIUC Theses Theses and Dissertations 8-1-2019 Spatial and Temporal Variability of Midwest Winter Severity Jefferson David Wright Southern Illinois University Carbondale, [email protected] Follow this and additional works at: https://opensiuc.lib.siu.edu/theses Recommended Citation Wright, Jefferson David, "Spatial and Temporal Variability of Midwest Winter Severity" (2019). Theses. 2577. https://opensiuc.lib.siu.edu/theses/2577 This Campus Only Thesis is brought to you for free and open access by the Theses and Dissertations at OpenSIUC. It has been accepted for inclusion in Theses by an authorized administrator of OpenSIUC. For more information, please contact [email protected]. SPATIAL AND TEMPORAL VARIABILITY OF MIDWEST WINTER SEVERITY by Jefferson D. Wright B.S., Southern Illinois University, 2014 A Thesis Submitted in Partial Fulfillment of the Requirements for the Master of Science Degree Department of Geography and Environmental Resources in the Graduate School Southern Illinois University Carbondale August 2019 THESIS APPROVAL SPATIAL AND TEMPORAL VARIABILITY OF MIDWEST WINTER SEVERITY by Jefferson D. Wright A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science in the field of Geography and Environmental Resources Approved by: Dr. Trenton Ford, Chair Dr. Justin Schoof Dr. Jonathan Remo Graduate School Southern Illinois University Carbondale June 3, 2019 AN ABSTRACT OF THE THESIS OF Jefferson D. Wright, for the Master of Science degree in Geography and Environmental Resources, presented on June 3, 2019, at Southern Illinois University Carbondale. TITLE: Spatial and Temporal Variability of Midwest Winter Severity MAJOR PROFESSOR: Dr. Trenton W.
    [Show full text]
  • Timmons, Jeffrey Scott, MS MAY 2021
    Timmons, Jeffrey Scott, M.S. MAY 2021 GEOLOGY Identifying the Isotopic Signature of Lake Effect Precipitation on the Northeast Ohio Isoscape (126 pp.) Thesis Advisor: Anne J. Jefferson Lake effect precipitation occurs when cold air moves across an open body of warm water and water vapor from the lake rises through the air column, causing instability, which leads to precipitation predominantly downwind. The isotopes of hydrogen in water are less sensitive than oxygen isotopes to the kinetic fractionation that occurs during lake evaporation, resulting in a greater than normal excess of deuterium in lake effect or recycled precipitation. A water isoscape shows the spatial distribution of stable water isotopes and, in this study, I studied the isoscape of northeast Ohio to discern where lake effect precipitation affects groundwater and lake hydrology. I investigated a 10,000 km2 area in northeastern Ohio, where mean annual precipitation ranges from 900-1100 mm and winter snowfall varies from 800 to 2500 mm. Relief in the study area is <200 m. Higher elevation areas near Lake Erie form the primary snowbelt, and the surrounding areas make up the secondary snowbelt. The study area is underlain by glacial deposits and sedimentary rocks. From 13 December 2017 to 22 December 2018, precipitation was collected at 2 locations 50 km apart. One precipitation collector was in the primary snowbelt at Holden Arboretum in Kirtland, while the other precipitation collector was in the secondary snowbelt in Kent. Lake samples were collected from 30 lakes across the study area in May, July and September 2018. Groundwater samples were collected from 47 private wells during 2 sampling events in January and July 2018.
    [Show full text]
  • Physical Properties of Snow
    Physical Properties of Snow J.W. POMEROY AND E. BRUN Introduction: Snow Physics and Ecology As demonstrated in the previous chapter, snow interacts strongly with the global climate system, both influencing and forming as a result of this system. The following chapters discuss the interaction of snow with the chemical and biological systems. This chapter discusses the physical properties of snow as the habitat and regulator of the snow ecosystem. In this sense, the physical snow cover may be per- ceived not only as the medium but also as the mediator of the snow ecosystem that transmits and modifies interactions between microorganisms, plants, animals, nutri- ents, atmosphere, and soil. The role of snow as a habitat for life is discussed by Hoham and Duval (Chapter 4) and Aitchison (Chapter 5). Snow cover mediates the snow ecosystem because it functions as an: 1. Energy bank: snow stores and releases energy. It stores latent heat of fusion and sublimation and crystal bonding forces (Langham, 1981; Gubler, 1985). The bonding forces are applied by atmospheric shear stress, diffusion along, vapour pressure gradients, drifting snow impact, and the impact ofanimals' walking over the snow (Schmidt, 1980; Pruitt, 1990; Kotlyakov, 1961; Sommerfeld and LaChapelle, 1970). The intake and release of energy throughout the year makes snow a variable habitat. 2. Radiation shield: cold snow reflects most shortwave radiation and absorbs and reemits most'long-wave radiation (Male, 1980).Its reflectance of short- wave radiation is a critical characteristic of the global climate system. As snowmelt progresses, the snow cover reflects less shortwave radiation be- cause of a change in its physical properties (O'Neill and Gray, 1973).
    [Show full text]