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  • 1
    Call number: SR 90.0002(1409-C)
    In: Professional paper
    Type of Medium: Series available for loan
    Pages: VII, C-100 S. + 2 pl.
    Series Statement: U.S. Geological Survey professional paper 1409-C
    Language: English
    Location: Lower compact magazine
    Branch Library: GFZ Library
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  • 2
    Call number: SR 90.0004(2320-B)
    In: Ground-water conditions in Las Vegas Valley, Clark County, Nevada
    Type of Medium: Series available for loan
    Pages: VI, B-124 S. + 2 pl.
    Series Statement: 2320-B
    Location: Lower compact magazine
    Branch Library: GFZ Library
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  • 3
    Call number: AWI E-Book
    Description / Table of Contents: This book is the standard reference based on roughly 20 years of research on atmospheric rivers, emphasizing progress made on key research and applications questions and remaining knowledge gaps. The book presents the history of atmospheric-rivers research, the current state of scientific knowledge, tools, and policy-relevant (science-informed) problems that lend themselves to real-world application of the research—and how the topic fits into larger national and global contexts. This book is written by a global team of authors who have conducted and published the majority of critical research on atmospheric rivers over the past years. The book is intended to benefit practitioners in the fields of meteorology, hydrology and related disciplines, including students as well as senior researchers.
    Type of Medium: 12
    Pages: 1 Online-Ressource (xlii, 252 Seiten) , Illustrationen, Karten
    Edition: 1st edition 2020
    ISBN: 9783030289065 , 978-3-030-28906-5
    Language: English
    Note: Contents 1 Introduction to Atmospheric Rivers / F. Martin Ralph, Michael D. Dettinger, Lawrence J. Schick, and Michael L. Anderson 2 Structure, Process, and Mechanism / Harald Sodemann, Heini Wernli, Peter Knippertz, Jason M. Cordeira, Francina Dominguez, Bin Guan, Huancui Hu, F. Martin Ralph, and Andreas Stohl 3 Observing and Detecting Atmospheric Rivers / F. Martin Ralph, Allen B. White, Gary A. Wick, Michael L. Anderson, and Jonathan J. Rutz 4 Global and Regional Perspectives / Jonathan J. Rutz, Bin Guan, Deniz Bozkurt, Irina V. Gorodetskaya, Alexander Gershunov, David A. Lavers, Kelly M. Mahoney, Benjamin J. Moore, William Neff, Paul J. Neiman, F. Martin Ralph, Alexandre M. Ramos, Hans Christian Steen-Larsen, Maria Tsukernik, Raúl Valenzuela, Maximiliano Viale, and Heini Wernli 5 Effects of Atmospheric Rivers / Michael D. Dettinger, David A. Lavers, Gilbert P. Compo, Irina V. Gorodetskaya, William Neff, Paul J. Neiman, Alexandre M. Ramos, Jonathan J. Rutz, Maximiliano Viale, Andrew J. Wade, and Allen B. White 6 Atmospheric River Modeling: Forecasts, Climate Simulations, and Climate Projections / Duane E. Waliser and Jason M. Cordeira 7 Applications of Knowledge and Predictions of Atmospheric Rivers / Lawrence J. Schick, Michael L. Anderson, F. Martin Ralph, Michael D. Dettinger, David A. Lavers, Florian Pappenberger, David S. Richardson, and Ervin Zsoter 8 The Future of Atmospheric River Research and Applications / F. Martin Ralph, Duane E. Waliser, Michael D. Dettinger, Jonathan J. Rutz, Michael L. Anderson, Irina V. Gorodetskaya, Bin Guan, and William Neff Index
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  • 4
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Journal of the American Water Resources Association 41 (2005), S. 0 
    ISSN: 1752-1688
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Notes: : Climate variations can play an important, if not always crucial, role in successful conjunctive management of ground water and surface water resources. This will require accurate accounting of the links between variations in climate, recharge, and withdrawal from the resource systems, accurate projection or predictions of the climate variations, and accurate simulation of the responses of the resource systems. To assess linkages and predictability of climate influences on conjunctive management, global climate model (GCM) simulated precipitation rates were used to estimate inflows and outflows from a regional ground water model (RGWM) of the coastal aquifers of the Santa Clara-Calleguas Basin at Ventura, California, for 1950 to 1993. Interannual to interdecadal time scales of the El Niño Southern Oscillation (ENSO) and Pacific Decadal Oscillation (PDO) climate variations are imparted to simulated precipitation variations in the Southern California area and are realistically imparted to the simulated ground water level variations through the climate-driven recharge (and discharge) variations. For example, the simulated average ground water level response at a key observation well in the basin to ENSO variations of tropical Pacific sea surface temperatures is 1.2 m/°C, compared to 0.9 m/°C in observations. This close agreement shows that the GCM-RGWM combination can translate global scale climate variations into realistic local ground water responses. Probability distributions of simulated ground water level excursions above a local water level threshold for potential seawater intrusion compare well to the corresponding distributions from observations and historical RGWM simulations, demonstrating the combination's potential usefulness for water management and planning. Thus the GCM-RGWM combination could be used for planning purposes and — when the GCM forecast skills are adequate — for near term predictions.
    Type of Medium: Electronic Resource
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  • 5
    ISSN: 1573-1480
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Physics
    Notes: Abstract Monthly mean surface-air temperatures at 870 sites in the contiguous United States were analyzed for interannual and interdecadal variability over the time interval 1910-87. The temperatures were analyzed spatially by empirical-orthogonal-function analysis and temporally by singularspectrum analysis (SSA). The dominant modes of spatio-temporal variability are trends and nonperiodic variations with time scales longer than 15 years, decadal-scale oscillations with periods of roughly 7 and 10 years, and interannual oscillations of 2.2 and 3.3 years. Together, these modes contribute about 18% of the slower-than-annual United States temperature variance. Two leading components roughly capture the mean hemispheric temperature trend and represent a long-term warming, largest in the southwest, accompanied by cooling of the domain's southeastern quadrant. The extremes of the 2.2-year interannual oscillation characterize temperature differences between the Northeastern and Southwestern States, whereas the 3.3-year cycle is present mostly in the Western States. The 7- to 10-year oscillations are much less regular and persistent than the interannual oscillations and characterize temperature differences between the western and interior sectors of the United States. These continental- or regional-scale temperature variations may be related to climatic variations with similar periodicities, either global or centered in other regions; such variations include quasi-biennial oscillations over the tropical Pacific or North Atlantic and quasi-triennial oscillations of North Pacific sea-surface temperatures.
    Type of Medium: Electronic Resource
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  • 6
    Publication Date: 2018-04-01
    Print ISSN: 0003-0007
    Electronic ISSN: 1520-0477
    Topics: Geography , Physics
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  • 7
    Publication Date: 2020-06-01
    Description: Extraordinary precipitation events have impacted the United States recently, including Hurricanes Harvey (2017) and Florence (2018), with 3-day precipitation totals larger than any others reported in the United States during the past 70 years. The rainfall category (R-CAT) scaling method is used here to document extreme precipitation events and test for trends nationally. The R-CAT scale uses thresholds of 3-day precipitation total in 100-mm increments (starting with 200 mm) that do not vary temporally or geographically, allowing for simple, intuitive comparisons of extremes over space and time. The paper that introduced the scale only required levels 1–4 to represent historical extremes, finding that R-CATs 3–4 strike the conterminous United States about as frequently as EF 4–5 tornadoes or category 3–5 hurricanes. Remarkably, Florence and Harvey require extending the scale to R-CAT 7 and 9, respectively. Trend analyses of annual maximum 3-day totals (1950–2019) here identify significant increases in the eastern United States, along with declines in Northern California and Oregon. Consistent with these results, R-CAT storms have been more frequent in the eastern, and less frequent in western, United States during the past decade compared to 1950–2008. Tropical storms dominate R-CAT events along the southeastern coast and East Coast with surprising contributions from atmospheric rivers, while atmospheric rivers completely dominate along the West Coast.
    Print ISSN: 1525-755X
    Electronic ISSN: 1525-7541
    Topics: Geography , Geosciences , Physics
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  • 8
    Publication Date: 2018-08-01
    Description: Atmospheric rivers (ARs) come in all intensities, and clear communication of risks posed by individual storms in observations and forecasts can be a challenge. Modest ARs can be characterized by the percentile rank of their integrated water vapor transport (IVT) rates compared to past ARs. Stronger ARs can be categorized more clearly in terms of return periods or, equivalently, historical probabilities that at least one AR will exceed a given IVT threshold in any given year. Based on a 1980–2016 chronology of AR landfalls on the U.S. West Coast from NASA’s Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), datasets, the largest instantaneous IVTs—greater than 1700 kg m−1 s−1—have occurred in ARs making landfall between 41° and 46°N with return periods longer than 20 years. IVT values with similar return periods are smaller to the north and, especially, to the south (declining to ~750 kg m−1 s−1). The largest storm-sequence IVT totals have been centered near 42.5°N, with scatter among the top few events, and these large storm-sequence totals depend more on sequence duration than on the instantaneous IVT that went into them. Maximum instantaneous IVTs are largest in the Pacific Northwest in autumn, with largest IVT values arriving farther south as winter and spring unfold, until maximum IVTs reach Northern California in spring.
    Print ISSN: 1525-755X
    Electronic ISSN: 1525-7541
    Topics: Geography , Geosciences , Physics
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  • 9
    Publication Date: 2012-12-18
    Print ISSN: 0036-8733
    Electronic ISSN: 1946-7087
    Topics: Biology , Natural Sciences in General , Physics
    Published by Springer Nature
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  • 10
    Publication Date: 2020-01-01
    Description: Atmospheric rivers (ARs) significantly influence precipitation and hydrologic variability in many areas of the world, including the western United States. As ARs are increasingly recognized by the research community and the public, there is a need to more precisely quantify and communicate their hydrologic impacts, which can vary from hazardous to beneficial depending on location and on the atmospheric and land surface conditions prior to and during the AR. This study leverages 33 years of atmospheric and hydrologic data for the western United States to 1) identify how water vapor amount, wind direction and speed, temperature, and antecedent soil moisture conditions influence precipitation and hydrologic responses (runoff, recharge, and snowpack) using quantile regression and 2) identify differences in hydrologic response types and magnitudes across the study region. Results indicate that water vapor amount serves as a primary control on precipitation amounts. Holding water vapor constant, precipitation amounts vary with wind direction, depending on location, and are consistently greater at colder temperatures. Runoff efficiencies further covary with temperature and antecedent soil moisture, with precipitation falling as snow and greater available water storage in the soil column mitigating flood impacts of large AR events. This study identifies the coastal and maritime mountain ranges as areas with the greatest potential for hazardous flooding and snowfall impacts. This spatially explicit information can lead to better understanding of the conditions under which ARs of different precipitation amounts are likely to be hazardous at a given location.
    Print ISSN: 1525-755X
    Electronic ISSN: 1525-7541
    Topics: Geography , Geosciences , Physics
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