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Spatial Representativeness Analysis for Snow Depth Measurements of Meteorological Stations in Northeast China
APRIL 2020 W A N G A N D Z H E N G 791 Spatial Representativeness Analysis for Snow Depth Measurements of Meteorological Stations in Northeast China YUANYUAN WANG AND ZHAOJUN ZHENG National Satellite Meteorological Center, China Meteorological Administration, Beijing, China (Manuscript received 14 June 2019, in final form 20 February 2020) ABSTRACT Triple collocation (TC) is a popular technique for determining the data quality of three products that estimate the same geophysical variable using mutually independent methods. When TC is applied to a triplet of one point-scale in situ and two coarse-scale datasets that have the similar spatial resolution, the TC-derived performance metric for the point-scale dataset can be used to assess its spatial representativeness. In this study, the spatial representativeness of in situ snow depth measurements from the meteorological stations in northeast China was assessed using an unbiased correlation metric r2 estimated with TC. Stations are t,X1 considered representative if r2 $ 0:5; that is, in situ measurements explain no less than 50% of the variations t,X1 in the ‘‘ground truth’’ of the snow depth averaged at the coarse scale (0.258). The results confirmed that TC can be used to reliably exploit existing sparse snow depth networks. The main findings are as follows. 1) Among all the 98 stations in the study region, 86 stations have valid r2 values, of which 57 stations are t,X1 representative for the entire snow season (October–December, January–April). 2) Seasonal variations in r2 t,X1 are large: 63 stations are representative during the snow accumulation period (December–February), whereas only 25 stations are representative during the snow ablation period (October–November, March–April). -
Dustin M. Schroeder
Dustin M. Schroeder Assistant Professor of Geophysics Department of Geophysics, School of Earth, Energy, and Environmental Sciences 397 Panama Mall, Mitchell Building 361, Stanford University, Stanford, CA 94305 [email protected], 440.567.8343 EDUCATION 2014 Jackson School of Geosciences, University of Texas, Austin, TX Doctor of Philosophy (Ph.D.) in Geophysics 2007 Bucknell University, Lewisburg, PA Bachelor of Science in Electrical Engineering (B.S.E.E.), departmental honors, magna cum laude Bachelor of Arts (B.A.) in Physics, magna cum laude, minors in Mathematics and Philosophy PROFESSIONAL EXPERIENCE 2016 – present Assistant Professor of Geophysics, Stanford University 2017 – present Assistant Professor (by courtesy) of Electrical Engineering, Stanford University 2020 – present Center Fellow (by courtesy), Stanford Woods Institute for the Environment 2020 – present Faculty Affiliate, Stanford Institute for Human-Centered Artificial Intelligence 2021 – present Senior Member, Kavli Institute for Particle Astrophysics and Cosmology 2016 – 2020 Faculty Affiliate, Stanford Woods Institute for the Environment 2014 – 2016 Radar Systems Engineer, Jet Propulsion Laboratory, California Institute of Technology 2012 Graduate Researcher, Applied Physics Laboratory, Johns Hopkins University 2008 – 2014 Graduate Researcher, University of Texas Institute for Geophysics 2007 – 2008 Platform Hardware Engineer, Freescale Semiconductor SELECTED AWARDS 2021 Symposium Prize Paper Award, IEEE Geoscience and Remote Sensing Society 2020 Excellence in Teaching Award, Stanford School of Earth, Energy, and Environmental Sciences 2019 Senior Member, Institute of Electrical and Electronics Engineers 2018 CAREER Award, National Science Foundation 2018 LInC Fellow, Woods Institute, Stanford University 2016 Frederick E. Terman Fellow, Stanford University 2015 JPL Team Award, Europa Mission Instrument Proposal 2014 Best Graduate Student Paper, Jackson School of Geosciences 2014 National Science Olympiad Heart of Gold Award for Service to Science Education 2013 Best Ph.D. -
Unmanned Aerial System Nadir Reflectance and MODIS Nadir BRDF
The Cryosphere, 11, 1575–1589, 2017 https://doi.org/10.5194/tc-11-1575-2017 © Author(s) 2017. This work is distributed under the Creative Commons Attribution 3.0 License. Unmanned aerial system nadir reflectance and MODIS nadir BRDF-adjusted surface reflectances intercompared over Greenland John Faulkner Burkhart1,2, Arve Kylling3, Crystal B. Schaaf4, Zhuosen Wang5,6, Wiley Bogren7, Rune Storvold8, Stian Solbø8, Christina A. Pedersen9, and Sebastian Gerland9 1Department of Geosciences, University of Oslo, Oslo, Norway 2University of California, Merced, CA, USA 3Norwegian Institute for Air Research, Kjeller, Norway 4School for the Environment, University of Massachusetts Boston, Boston, MA, USA 5NASA Goddard Space Flight Center, Greenbelt, MD, USA 6Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA 7U.S. Geological Survey, Flagstaff, AZ, USA 8Norut-Northern Research Institute, Tromsø, Norway 9Norwegian Polar Institute, Fram Centre, Tromsø, Norway Correspondence to: John Faulkner Burkhart ([email protected]) Received: 12 November 2016 – Discussion started: 15 December 2016 Revised: 17 May 2017 – Accepted: 18 May 2017 – Published: 4 July 2017 Abstract. Albedo is a fundamental parameter in earth sci- data demonstrate potentially large sub-pixel variability of ences, and many analyses utilize the Moderate Resolu- MODIS reflectance products and the potential to explore this tion Imaging Spectroradiometer (MODIS) bidirectional re- variability using the UAS as a platform. It is also found that, flectance distribution function (BRDF)/albedo (MCD43) al- even at the low elevations flown typically by a UAS, re- gorithms. While derivative albedo products have been eval- flectance measurements may be influenced by haze if present uated over Greenland, we present a novel, direct compar- at and/or below the flight altitude of the UAS. -
Kinikmi Sigum Qanuq Ilitaavut = Wales Inupiaq Sea Ice Dictionary
Kirjikmi Si gum Qanuq llitaavut Wales Inupiaq Sea Ice Dictionary Iqqaluagigut Agiyagaq (1945—2010) We Cherish the Memory of Herbert Anungazuk (1945- ■2010) •J. tuagikuq The village of Wales, Alaska, as seen from the land-fast ice, tuaq on February 9, 2007. Small pressure ridges, iunilaurat are built on the flat surface of the land-fast ice (tuagikuq) closer to the beach. Photo, Winton Weyapuk, Jr. Kinikmi Sigum Qanuq llitaavut Wales Inupiaq Sea Ice Dictionary Winton Weyapuk, Jr. and Igor Krupnik, compilers Advisers: Pete Sereadlook, Faye Ongtowasruk, and Lawrence Kaplan Editors: Igor Krupnik, Herbert Anungazuk. and Matthew Druckenmiller International Polar Year National Park Service Native Village of Wales Arctic Studies Center 2007-2008 Shared Beringian Heritage Program Wales, Alaska Smithsonian Institution © 2012 by the Arctic Studies Center Smithsonian Institution Washington, D.C. 20013-7012 All rights reserved Printed in the United States of America ISBN 978-0-9673429-3-1 This book may be cited as: Wales Inupiaq Sea Ice Dictionary/Kir)ikmi Sigum Qanuq llitaavut. 2012. Winton Weyapuk, Jr. and Igor Krupnik, compilers. Igor Krupnik, Herbert Anungazuk, and Matthew Druckenmiller, editors. Washington, DC: Arctic Studies Center. Smithsonian Institution. 112 pp. The paper used in this publication meets the minimum requirements of the American National Standard for Information Sciences-Permanence of Paper for Printed Library Materials This project was supported by a grant from the Shared Beringian Heritage Program National Park Service, Alaska Office Volume design: Igor Krupnik and Winton Weyapuk, Jr. Production editor: Allison Maslow This book has been produced for the ‘SIKU - Sea Ice Knowledge and Use’ Project (IPY #166), a part of The International Polar Year 2007-2008 sponsored by The International Council for Science (ICSU) and The World Meteorological Organization (WMO) Front cover: Ice-covered Bering Strait off the Village of Wales, Alaska, February 2007. -
World Meteorological Organization Global Cryosphere Watch
WORLD METEOROLOGICAL ORGANIZATION GLOBAL CRYOSPHERE WATCH REPORT No. 20/ 2018 GLOBAL CRYOSPHERE WATCH STEERING GROUP TH 5 SESSION OSLO, NORWAY, 10-12 January, 2018 © World Meteorological Organization, 2018 The right of publication in print, electronic and any other form and in any language is reserved by WMO. Short extracts from WMO publications may be reproduced without authorization, provided that the complete source is clearly indicated. Editorial correspondence and requests to publish, reproduce or translate this publication in part or in whole should be addressed to: Chair, Publications Board World Meteorological Organization (WMO) 7 bis, avenue de la Paix Tel.: +41 (0) 22 730 8403 P.O. Box 2300 Fax: +41 (0) 22 730 8040 CH-1211 Geneva 2, Switzerland E-mail: [email protected] NOTE The designations employed in WMO publications and the presentation of material in this publication do not imply the expression of any opinion whatsoever on the part of WMO concerning the legal status of any country, territory, city or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries. The mention of specific companies or products does not imply that they are endorsed or recommended by WMO in preference to others of a similar nature which are not mentioned or advertised. The findings, interpretations and conclusions expressed in WMO publications with named authors are those of the authors alone and do not necessarily reflect those of WMO or its Members. - 2 - GROUP PHOTO, 10 JANUARY 2018 - 3 - EXECUTIVE SUMMARY The 5th session of the Steering Group of the Global Cryosphere Watch (GSG-5) was hosted by Norwegian Meteorological Institute (Met Norway), in Oslo, Norway, from 10th to 12 January. -
Geologic Map of the Frisco Quadrangle, Summit County, Colorado
Geologic Map of the Frisco Quadrangle, Summit County, Colorado By Karl S. Kellogg, Paul J. Bartos, and Cindy L. Williams Pamphlet to accompany MISCELLANEOUS FIELD STUDIES MAP MF-2340 2002 U.S. Department of the Interior U.S. Geological Survey Geologic Map of the Frisco Quadrangle, Summit County, Colorado By Karl S. Kellogg, Paul J. Bartos, and Cindy L. Williams DESCRIPTION OF MAP UNITS af Artificial fill (recent)—Compacted and uncompacted rock fragments and finer material underlying roadbed and embankments along and adjacent to Interstate 70. Also includes material comprising Dillon Dam dt Dredge tailings (recent)—Unconsolidated, clast-supported deposits containing mostly well- rounded to subrounded, cobble- to boulder-size clasts derived from dredging of alluvium for gold along the Blue and Swan Rivers; similar dredge tailings along Gold Run Gulch are too small to show on map. Dredge tailings were mapped from 1974 air photos; most tailings have now been redistributed and leveled for commercial development Qal Alluvium (Holocene)—Unconsolidated clast-supported deposits containing silt- to boulder-size, moderately sorted to well-sorted clasts in modern floodplains; includes overbank deposits. Clasts are as long as 1 m in Blue River channel; clasts are larger in some side-stream channels. Larger clasts are moderately rounded to well rounded. Includes some wetland deposits in and adjacent to beaver ponds along Ryan Gulch. Maximum thickness unknown, but greater than 10 m in Blue River channel Qw Wetland deposits (Holocene)—Dark-brown to black, organic-rich sediment underlying wetland areas, commonly containing standing water and dense willow stands. Maximum thickness estimated to be about 15 m Qav Avalanche deposits (Holocene)—Unsorted, unstratified hummocky deposits at the distal ends of avalanche-prone hillside in Sec. -
Measuring Snow Properties Relevant to Snowsports & Outdoor
Measuring snow properties relevant to Mittuniversitetet snowsports & outdoor 10.06.2019 Development of measuring method to ana- lyze snow properties Measuring snow properties relevant to snowsports & outdoor Development of measuring method to analyze snow properties Sebastian Klein Självständigt arbete Huvudområde: Mechanical Engineering MA,Thesis Högskolepoäng: 30 hp Termin/år: ST 2019 Handledare: Mikael Bäckström Examinator: Andrey Koptyug Kurskod/registreringsnummer: H4X94 Utbildningsprogram: Sportteknologi Based on the Mid Sweden University template for technical reports, written by Magnus Eriksson, Kenneth Berg and Mårten Sjöstr öm. i Measuring snow properties relevant to Mittuniversitetet snowsports & outdoor 10.06.2019 Development of measuring method to ana- lyze snow properties Abstract Snow is a common surface on which a lot of sports competitions take place. We know a lot about our equipment, but there has been done very little research on the snow itself regarding the use in sports. The aim of this project is to create a measurement device to investigate the properties of different snow types. The snow compound on the ski slopes nowadays does not only exist of natural snow, a big part of it is machine-made snow and the most common one is produced with snow guns. There are differ- ent theories why skis glide on snow and that is why a lot of research has been done on the snow behavior. But the main goal in the ski industry is to improve the equipment. The measurement tool should be compact, so it is possible to carry it around on the ski slope, waterproof and should give electronic data, not like previous devices where you have to measure by hand. -
Englacial Architecture and Age‐Depth Constraints Across 10.1029/2019GL086663 the West Antarctic Ice Sheet Key Points: David W
RESEARCH LETTER Englacial Architecture and Age‐Depth Constraints Across 10.1029/2019GL086663 the West Antarctic Ice Sheet Key Points: David W. Ashmore1 , Robert G. Bingham2 , Neil Ross3 , Martin J. Siegert4 , • We measure and date individual 5 1 isochronal radar internal reflection Tom A. Jordan , and Douglas W. F. Mair horizons across the Weddell Sea 1 2 sector of the West Antarctic Ice School of Environmental Sciences, University of Liverpool, Liverpool, UK, School of GeoSciences, University of Sheet Edinburgh, Edinburgh, UK, 3School of Geography, Politics and Sociology, Newcastle University, Newcastle upon Tyne, • – – Horizons dated to 1.9 3.2, 3.5 6.0, UK, 4Grantham Institute and Department of Earth Science and Engineering, Imperial College London, London, UK, and 4.6–8.1 ka are widespread and 5British Antarctic Survey, Cambridge, UK linked to previous radar surveys of the Ross and Amundsen Sea sectors • These form the basis for a wider database of ice sheet architecture for Abstract The englacial stratigraphic architecture of internal reflection horizons (IRHs) as imaged by validating and calibrating ice sheet ice‐penetrating radar (IPR) across ice sheets reflects the cumulative effects of surface mass balance, basal models of West Antarctica melt, and ice flow. IRHs, considered isochrones, have typically been traced in interior, slow‐flowing regions. Here, we identify three distinctive IRHs spanning the Institute and Möller catchments that cover 50% of Supporting Information: • Supporting Information S1 West Antarctica's Weddell Sea Sector and are characterized by a complex system of ice stream tributaries. We place age constraints on IRHs through their intersections with previous geophysical surveys tied to Byrd Ice Core and by age‐depth modeling. -
The High Deccan Duricrusts of India and Their Significance for the 'Laterite
The High Deccan duricrusts of India and their significance for the ‘laterite’ issue Cliff D Ollier1 and Hetu C Sheth2,∗ 1School of Earth and Geographical Sciences, The University of Western Australia, Nedlands, W.A. 6009, Australia. 2Department of Earth Sciences, Indian Institute of Technology (IIT) Bombay, Powai, Mumbai 400 076, India. ∗e-mail: [email protected] In the Deccan region of western India ferricrete duricrusts, usually described as laterites, cap some basalt summits east of the Western Ghats escarpment, basalts of the low-lying Konkan Plain to its west, as well as some sizeable isolated basalt plateaus rising from the Plain. The duricrusts are iron-cemented saprolite with vermiform hollows, but apart from that have little in common with the common descriptions of laterite. The classical laterite profile is not present. In particular there are no pisolitic concretions, no or minimal development of con- cretionary crust, and the pallid zone, commonly assumed to be typical of laterites, is absent. A relatively thin, non-indurated saprolite usually lies between the duricrust and fresh basalt. The duricrust resembles the classical laterite of Angadippuram in Kerala (southwestern India), but is much harder. The High Deccan duricrusts capping the basalt summits in the Western Ghats have been interpreted as residuals from a continuous (but now largely destroyed) laterite blan- ket that represents in situ transformation of the uppermost lavas, and thereby as marking the original top of the lava pile. But the unusual pattern of the duricrusts on the map and other evidence suggest instead that the duricrusts formed along a palaeoriver system, and are now in inverted relief. -
Ice-Flow Structure and Ice Dynamic Changes in the Weddell Sea Sector
Bingham RG, Rippin DM, Karlsson NB, Corr HFJ, Ferraccioli F, Jordan TA, Le Brocq AM, Rose KC, Ross N, Siegert MJ. Ice-flow structure and ice-dynamic changes in the Weddell Sea sector of West Antarctica from radar-imaged internal layering. Journal of Geophysical Research: Earth Surface 2015, 120(4), 655-670. Copyright: ©2015 The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. DOI link to article: http://dx.doi.org/10.1002/2014JF003291 Date deposited: 04/06/2015 This work is licensed under a Creative Commons Attribution 4.0 International License Newcastle University ePrints - eprint.ncl.ac.uk PUBLICATIONS Journal of Geophysical Research: Earth Surface RESEARCH ARTICLE Ice-flow structure and ice dynamic changes 10.1002/2014JF003291 in the Weddell Sea sector of West Antarctica Key Points: from radar-imaged internal layering • RES-sounded internal layers in Institute/Möller Ice Streams show Robert G. Bingham1, David M. Rippin2, Nanna B. Karlsson3, Hugh F. J. Corr4, Fausto Ferraccioli4, fl ow changes 4 5 6 7 8 • Ice-flow reconfiguration evinced in Tom A. Jordan , Anne M. Le Brocq , Kathryn C. Rose , Neil Ross , and Martin J. Siegert Bungenstock Ice Rise to higher 1 2 tributaries School of GeoSciences, University of Edinburgh, Edinburgh, UK, Environment Department, University of York, York, UK, • Holocene dynamic reconfiguration 3Centre for Ice and Climate, Niels Bohr Institute, University -
The Science of Snowflakes
The Science of Snowflakes Author: Paulette Clancy Date Created: 1999 Subject: Earth Science, Engineering Level: Middle School Standards: New York State- Intermediate Science (www.emsc.nysed.gov/ciai/) Standard 1- Analysis, Inquiry and Design Standard 4- The Physical Setting Standard 6- Interconnectedness: Common Themes Standard 7- Interdisciplinary Problem Solving Schedule: Five to six 40-minute class periods Objectives: Vocabulary: Learn about states of matter, Matter Volume classification, and properties of Atom Density crystals Crystal Ion Materials: Students will: For Each Student: Activity Sheet 1: Activity Sheet 8: Design a Mini-Hut Thinking About Snowflakes Box with a lid • Catch snowflakes and classify Activity Sheet 2: The Can of “Crystal Clear” them by shape and structure States of Matter spray • Grow a crystal in a jar Activity Sheet 3: Glass microscope • Design an experiment that will Temperature of slides String show if the growth of the crystal Substances Activity Sheet 4: Let’s Wide mouth jar changes if grown under Classify Snowflakes White pipe cleaners different conditions Activity Sheet 5: Blue food coloring • Design a “mini-hut” to preserve Properties of Crystals (optional) the crystal structure of ice Activity Sheet 6: Grow Boiling water* a Snowflake in a Jar Borax • Reflect on scientific process Activity Sheet 7: For Each Pair: and discuss concepts that were Experiment Template Microscope* learned *Provided by the teacher Safety: Blue food coloring can stain clothing. If it is used, use caution when handling it. Science Content: Snow Crystals: When cloud temperature is at freezing or below and the clouds are moisture filled, snow crystals form. The ice crystals form on dust particles as the water vapor condenses and partially melted crystals cling together to form snowflakes. -
A Guide to Hazard Mitigation Planning for Wisconsin Coastal Communities
GGUUIIDDEE TTOO HHAAZZAARRDD MMIITTIIGGAATTIIOONN LANNING FOR PPLANNING FOR WWIISSCCOONNSSIINN COOAASSTTAALL C CCOOMMMMUUNNIITTIIEESS Prepared by: Bay-Lake Regional Planning Commission June 2007 GGUUIIDDEE TTOO HHAAZZAARRDD MMIITTIIGGAATTIIOONN PPLLAANNNNIINNGG FFOORR WWIISSCCOONNSSIINN CCOOAASSTTAALL CCOOMMMMUUNNIITTIIEESS Prepared by: Bay-Lake Regional Planning Commission 441 South Jackson Street Green Bay, WI 54301 (920) 448-2820 WCMP Agreement #AD9014-007.42 BLRPC Contract #0601209 Principal Author: Angela M. Pierce, Natural Resources Planner II Acknowledgement Funded by the Wisconsin Coastal Management Program and the National Oceanic and Atmospheric Administration, Office of Ocean and Coastal Resource Management under the Coastal Zone Management Act, Grant #NA06NOS4190183. ABOUT THE BAY-LAKE REGIONAL PLANNING COMMISSION The Bay-Lake Regional Planning Commission was created in April 1972 under section 66.945 of the Wisconsin Statutes as the official area-wide planning agency for northeastern Wisconsin. At the request of seven county boards within the region, Governor Lucey established the Bay-Lake Regional Planning Commission by Executive Order 35. In December 1973, Florence County joined the Commission, bringing the total number of counties within the region to eight. The Commission serves a region in northeastern Wisconsin consisting of the counties of Brown, Door, Florence, Kewaunee, Manitowoc, Marinette, Oconto, and Sheboygan. The Bay-Lake Region is comprised of 185 units of government: 8 counties, 17 cities, 39 villages, 120 towns, and the Oneida Nation of Wisconsin. The total area of the region is 5,433 square miles or 9.7 percent of the area of the State of Wisconsin. The region has over 400 miles of coastal shoreline along Lake Michigan and Green Bay and contains 12 major watershed areas that drain into the waters of Green Bay and Lake Michigan.