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  • 1
    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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  • 2
    Call number: AWI A3-20-93592
    Type of Medium: Monograph available for loan
    Pages: xxxiii, 613 Seiten , Illustrationen , 42 mm x 170 mm
    Edition: Second edition
    ISBN: 978-3-642-13918-0
    Series Statement: Springer praxis books environmental sciences
    Language: English
    Note: Contents Preface Preface to the First Edition List of figures Abbreviations 1 Historical perspective (Roland A. Madden and Paul R. Julian) 1.1 Introduction 1.2 The intraseasonal, tropospheric oscillation 1.3 The elementary 4-D structure 1.4 Other early studies of the oscillation 1.5 The oscillation in 1979 1.6 Complexity of cloud movement and structure 1.7 Seasonal variations in the oscillation 1.8 The oscillation in the zonal average 1.9 Other effects of the oscillation 1.10 Summary 1.11 References 2 South Asian monsoon (B. N. Goswami) 2.1 Introduction 2.1.1 South Asian summer monsoon and active/break cycles 2.1.2 Amplitude and temporal and spatial scales 2.1.3 Regional propagation characteristics 2.1.4 Relationship between poleward-propagating ISOs and monsoon onset 2.1.5 Relationship with the MJO 2.2 Mechanism for temporal-scale selection and propagation 2.2.1 30 to 60-day mode 2.2.2 10 to 20-day mode 2.3 Air-sea interactions 2.4 Clustering of synoptic events by ISOs 2.5 Monsoon ISOs and predictability of the seasonal mean 2.6 Aerosols and monsoon ISOs 2.7 Predictability and prediction of monsoon ISOs 2.8 Summary and discussion 2.9 Acknowledgments 2.10 Appendix 2.11 References 3 Intraseasonal variability of the atmosphere-ocean-climate system: East Asian monsoon (Huang-Hsiung Hsu) 3.1 Introduction 3.2 General characteristics of EA/WNP monsoon flow 3.3 Periodicity, seasonality, and regionality 3.4 Intraseasonal oscillation propagation tendency 3.5 Relationship with monsoon onsets and breaks 3.6 The 10 to 30-day and 30 to 60-day boreal summer ISO 3.6.1 The 30 to 60-day northward/northwestward-propagating pattern 3.6.2 The 10 to 30-day westward-propagating pattern 3.7 Relationship with tropical cyclone activity 3.8 Upscale effect of TC and synoptic systems 3.9 Final remarks 3.9.1 Close association with the EA/WNP monsoon 3.9.2 The CISO vs. interannual variability 3.9.3 Multiperiodicities and multiscale interaction 3.9.4 Others 3.10 References 4 Pan America (Kingtse C. Mo, Charles Jones, and Julia Nogues Paegle) 4.1 Introduction 4.2 Variations in the IS band 4.3 IS variability in December-March 4.3.1 EOF modes 4.3.2 The Madden Julian Oscillation 4.3.3 The submonthly oscillation 4.4 IS variability in June-September 4.4.1 EOF modes 4.4.2 Madden-Julian Oscillation 4.4.3 Submonthly oscillation 4.5 Intraseasonal modulation of hurricanes 4.6 Summary 4.7 References 5 Australasian monsoon (M. C. Wheeler and J. L. McBride) 5.1 Introduction 5.2 Seasonal cycle of background flow 5.3 Broadband intraseasonal behavior: Bursts and breaks 5.4 Broadband intraseasonal behavior: Spectral analysis 5.5 Meteorology of the bursts and breaks 5.6 Characteristics and influence of the MJO 5.7 1983/1984 and 1987/1988 case studies 5.8 MJO influence on monsoon onset 5.9 Other modes and sources of ISV 5.10 Modulation of tropical cyclones 5.11 Extratropical-tropical interaction 5.12 Prediction 5.13 Conclusions 5.14 References 6 The oceans (William S. Kessler) 6.1 Introduction 6.2 Heat fluxes 6.2.1 Salinity and the barrier layer 6.2.2 A 1-D heat balance? 6.2.3 The role of advection 6.3 Vertical structure under westerly winds 6.4 Remote signatures of wind-forced Kelvin waves 6.5 El Nino and rectification of ISV 6.6 ISV in the Indian Ocean 6.6.1 Differences between the Indian and Pacific Ocean warm pools and their consequences 6.6.2 Oscillations lasting about 60 days in the western equatorial Indian Ocean 6.6.3 Recent models of wind-forced ISV in the Indian Ocean 6.7 Other intrinsic oceanic ISV 6.7.1 Global ISV 6.7.2 Non-TISO-forced ISV in the tropical Indo-Pacific 6.7.3 ISV outside the equatorial Indo-Pacific 6.8 Conclusion 6.9 References 7 Air-sea interaction (Harry Hendori) 7.1 Introduction 7.2 Air-sea fluxes for the eastward MJO 7.3 Air-sea fluxes associated with northward propagation in the Indian summer monsoon 7.4 SST variability 7.5 Mechanisms of SST variability 7.6 SST-atmosphere feedback 7.7 Impact of slow SST variations on MJO activity 7.8 Concluding remarks 7.9 Acknowledgments 7.10 References 8 Mass, momentum, and geodynamics (Benjamin F. Chao and David A. Salstein) 8.1 Introduction 8.2 Angular momentum variations and Earth rotation 8.2.1 Length-of-day variation and axial angular momentum 8.2.2 Polar motion excitation and equatorial angular momentum 8.2.3 Angular momentum and torques 8.3 Time-variable gravity 8.4 Geocenter motion 8.5 Conclusions 8.6 Acknowledgments 8.7 References 9 El Nino Southern Oscillation connection (William K. M. Lau) 9.1 Introduction 9.2 A historical perspective 9.3 Phase 1: The embryonic stage 9.3.1 OLR time-longitude sections 9.3.2 Seasonality 9.3.3 Supercloud clusters 9.3.4 Early modeling framework 9.4 Phase 2: The exploratory stage 9.4.1 MJO and ENSO interactions 9.4.2 WWEs 9.5 Phase 3: ENSO case studies 9.5.1 El Nino of 1997/1998 9.5.2 Stochastic forcings 9.6 Phase-4: Recent development 9.6.1 A new ISO index 9.6.2 Composite events 9.6.3 The ISV-ENSO biennial rhythm 9.7 TISV and predictability 9.8 Acknowledgments 9.9 References 10 Theories (Bin Wang) 10.1 Introduction 10.2 Review of ISO theories 10.2.1 Wave CISK 10.2.2 Wind-evaporation feedback or WISHE 10.2.3 Frictional convergence instability (FCI) 10.2.4 Cloud-radiation feedback 10.2.5 Convection-water vapor feedback and the moisture mode 10.2.6 Multiscale interaction theory 10.2.7 Mechanisms of the boreal summer intraseasonal oscillation 10.2.8 Atmosphere-ocean interaction 10.3 A general theoretical framework 10.3.1 Fundamental physical processes 10.3.2 Governing equations 10.3.3 Boundary layer dynamics near the equator 10.3.4 The 1.5-layer model for the MJO 10.3.5 The 2.5-layer model including the effects of basic flows 10.4 Dynamics of the MJO 10.4.1 Low-frequency equatorial waves and the associated Ekman pumping 10.4.2 Frictional convergence instability (FCI) 10.4.3 FCI mode under nonlinear heating 10.4.4 The role of multiscale interaction (MSI) in MJO dynamics 10.5 Dynamics of boreal summer ISO 10.5.1 Effects of mean flows on the ISO 10.5.2 Mechanism of northward propagation 10.6 Role played by atmospheric-ocean interaction 10.7 Summary and discussion 10.7.1 Understanding gained from the FCI theory 10.7.2 Model limitations 10.7.3 Outstanding issues 10.8 Acknowledgments 10.9 References 11 Modeling intraseasonal variability (K. R. Sperber, J. M. Slingo, and P. M. Inness) 11.1 Introduction 11.2 Modeling the MJO in boreal winter 11.2.1 Interannual and decadal variability of the MJO 11.2.2 Sensitivity to formulation of the atmospheric model 11.2.3 Modeling the MJO as a coupled ocean-atmosphere phenomenon 11.3 Boreal summer intraseasonal variability 11.3.1 GCM simulations 11.3.2 Air-sea interaction and boreal summer intraseasonal variability 11.3.3 Modeling studies of the links between boreal summer intraseasonal and interannual variability 11.4 The impact of vertical resolution in the upper ocean 11.5 Concluding remarks 11.6 Acknowledgments 11.7 References 12 Predictability and forecasting (Duane Waliser) 12.1 Introduction 12.2 Empirical models 12.3 Dynamical forecast models 12.4 Predictability 12.5 Real time forecasts 12.6 Discussion 12.7 Appendix 12.8 Acknowledgments 12.9 References 13 Africa and West Asia (Mathew Barlow) 13.1 Overview 13.2 Summary of Africa research 13.2.1 West Africa 13.2.2 Eastern Africa 13.2.3 Southern Africa 13.3 Summary of West Asia research 13.4 Station data analysis 13.4.1 Methodology and data 13.4.2 Nairobi 13.4.3 Riyadh 13.5 Relevance of Gill-Matsuno dynamics and the role of mean wind 13.6 Summary and discussion 13.7 References 14 Tropical-extratropical interactions (Paul E. Roundy) 14.1 Introduction 14.2 A boreal winter composite of the global flow associated with the MJO 14.3 Response of the global atmosphere to heating in tropical convection 14.4 Influence of extratropical waves on tropical convection 14.5 Two-way interactions between the tropics and extratropics 14.6 MJO inf
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  • 3
  • 4
    Publication Date: 2018-05-07
    Description: A uniform, global approach is used to quantify how atmospheric rivers (ARs) change between Coupled Model Intercomparison Project Phase 5 historical simulations and future projections under the Representative Concentration Pathway (RCP) 4.5 and RCP8.5 warming scenarios. The projections indicate that while there will be ~10% fewer ARs in the future, the ARs will be ~25% longer, ~25% wider, and exhibit stronger integrated water vapor transports (IVTs) under RCP8.5. These changes result in pronounced increases in the frequency (IVT strength) of AR conditions under RCP8.5: ~50% (25%) globally, ~50% (20%) in the northern midlatitudes, and ~60% (20%) in the southern midlatitudes. The models exhibit systematic low biases across the midlatitudes in replicating historical AR frequency (~10%), zonal IVT (~15%), and meridional IVT (~25%), with sizable intermodel differences. A more detailed examination of six regions strongly impacted by ARs suggests that the western United States, northwestern Europe, and southwestern South America exhibit considerable intermodel differences in projected changes in ARs. ©2018. American Geophysical Union. All Rights Reserved.
    Print ISSN: 0094-8276
    Electronic ISSN: 1944-8007
    Topics: Geosciences , Physics
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  • 5
    Publication Date: 2018-02-01
    Description: A recent study presented nearly two decades of airborne atmospheric river (AR) observations and concluded that, on average, an individual AR transports ~5 × 108 kg s−1 of water vapor. The study here compares those cases to ARs independently identified in reanalyses based on a refined algorithm that can detect less well-structured ARs, with the dual-purpose of validating reanalysis ARs against observations and evaluating dropsonde representativeness relative to reanalyses. The first comparison is based on 21 dropsonde-observed ARs in the northeastern Pacific and those closely matched, but not required to be exactly collocated, in ERA-Interim (MERRA-2), which indicates a mean error of −2% (−8%) in AR width and +3% (−1%) in total integrated water vapor transport (TIVT) and supports the effectiveness of the AR detection algorithm applied to the reanalyses. The second comparison is between the 21 dropsonde ARs and ~6000 ARs detected in ERA-Interim (MERRA-2) over the same domain, which indicates a mean difference of 5% (20%) in AR width and 5% (14%) in TIVT and suggests the limited number of dropsonde observations is a highly (reasonably) representative sampling of ARs in the northeastern Pacific. Sensitivities of the comparison to seasonal and geographical variations in AR width/TIVT are also examined. The results provide a case where dedicated observational efforts in specific regions corroborate with global reanalyses in better characterizing the geometry and strength of ARs regionally and globally. The results also illustrate that the reanalysis depiction of ARs can help inform the selection of locations for future observational and modeling efforts.
    Print ISSN: 1525-755X
    Electronic ISSN: 1525-7541
    Topics: Geography , Geosciences , Physics
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  • 6
    Publication Date: 2018-02-01
    Description: Atmospheric rivers (ARs) are global phenomena that transport water vapor horizontally and are associated with hydrological extremes. In this study, the Atmospheric River Skill (ATRISK) algorithm is introduced, which quantifies AR prediction skill in an object-based framework using Subseasonal to Seasonal (S2S) Project global hindcast data from the European Centre for Medium-Range Weather Forecasts (ECMWF) model. The dependence of AR forecast skill is globally characterized by season, lead time, and distance between observed and forecasted ARs. Mean values of daily AR prediction skill saturate around 7–10 days, and seasonal variations are highest over the Northern Hemispheric ocean basins, where AR prediction skill increases by 15%–20% at a 7-day lead during boreal winter relative to boreal summer. AR hit and false alarm rates are explicitly considered using relative operating characteristic (ROC) curves. This analysis reveals that AR forecast utility increases at 10-day lead over the North Pacific/western U.S. region during positive El Niño–Southern Oscillation (ENSO) conditions and at 7- and 10-day leads over the North Atlantic/U.K. region during negative Arctic Oscillation (AO) conditions and decreases at a 10-day lead over the North Pacific/western U.S. region during negative Pacific–North America (PNA) teleconnection conditions. Exceptionally large increases in AR forecast utility are found over the North Pacific/western United States at a 10-day lead during El Niño + positive PNA conditions and over the North Atlantic/United Kingdom at a 7-day lead during La Niña + negative PNA conditions. These results represent the first global assessment of AR prediction skill and highlight climate variability conditions that modulate regional AR forecast skill.
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    Electronic ISSN: 1525-7541
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  • 7
    Publication Date: 2018-01-16
    Description: Realistic simulations of the Madden–Julian oscillation (MJO) by global climate models (GCMs) remain a great challenge. To evaluate GCM simulations of the MJO, the U.S. CLIVAR MJO Working Group developed a standardized set of diagnostics, providing a comprehensive assessment of statistical properties of the MJO. Here, a suite of complementary diagnostics has been developed that provides discrimination and assessment of MJO simulations based on the perception that the MJO propagation has characteristic dynamic and thermodynamic structures. The new dynamics-oriented diagnostics help to evaluate whether a model produces eastward-propagating MJOs for the right reasons. The diagnostics include 1) the horizontal structure of boundary layer moisture convergence (BLMC) that moistens the lower troposphere to the east of a convection center, 2) the preluding eastward propagation of BLMC that leads the propagation of MJO precipitation by about 5 days, 3) the horizontal structure of 850-hPa zonal wind and its equatorial asymmetry (Kelvin easterly versus Rossby westerly intensity), 4) the equatorial vertical–longitudinal structure of the equivalent potential temperature and convective instability index that reflects the premoistening and predestabilization processes, 5) the equatorial vertical–longitudinal distribution of diabatic heating that reflects the multicloud structure of the MJO, 6) the upper-level divergence that reflects the influence of stratiform cloud heating, and 7) the MJO available potential energy generation that reflects the amplification and propagation of an MJO. The models that simulate better three-dimensional dynamic and thermodynamic structures of MJOs generally reproduce better eastward propagations. This evaluation identifies a number of shortcomings in representing dynamical and heating processes relevant to the MJO simulation and reveals potential sources of the shortcomings.
    Print ISSN: 0894-8755
    Electronic ISSN: 1520-0442
    Topics: Geography , Geosciences , Physics
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  • 8
    Publication Date: 2018-05-09
    Description: Between 2013 and 2015, the northeast Pacific Ocean experienced the warmest surface temperature anomalies in the modern observational record. This “marine heatwave” marked a shift of Pacific decadal variability to its warm phase and was linked to significant impacts on marine species as well as exceptionally arid conditions in western North America. Here we show that the subtropical signature of this warming, off Baja California, was associated with a record deficit in the spatial coverage of co-located marine boundary layer clouds. This deficit coincided with a large increase in downwelling solar radiation that dominated the anomalous energy budget of the upper ocean, resulting in record-breaking warm sea surface temperature anomalies. Our observation-based analysis suggests that a positive cloud-surface temperature feedback was key to the extreme intensity of the heatwave. The results demonstrate the extent to which boundary layer clouds can contribute to regional variations in climate. ©2018. American Geophysical Union. All Rights Reserved.
    Print ISSN: 0094-8276
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  • 9
    Publication Date: 2017-10-01
    Description: Several dynamically downscaled climate simulations with various spatial resolutions (24, 12, and 4 km) and spectral nudging strengths (0, 600, and 2000 km) have been run over the contiguous United States from 2000 to 2009 using the high-resolution NASA Unified Weather and Research Forecasting (NU-WRF) regional model initialized and constrained by the Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2). This paper summarizes the authors’ efforts on the development of a model performance metric and its application to assess summer precipitation over the U.S. Great Plains (USGP) in these downscaled climate simulations. A new model performance metric T was first developed that uses both the linear correlation coefficient and mean square error and is consistent with other commonly used metrics, but gives a bigger separation between good and bad simulations. This metric T was then applied to the summer mean precipitation spatial pattern, diurnal Hovmöller diagram, and diurnal spatial pattern over the USGP from the simulations focusing on the summer precipitation diurnal cycle related to mesoscale convective systems (MCSs). The metric T skill scores increase significantly from the control simulation to the nudged simulations and from the nudged simulations with shorter wavelengths to the nudged simulations with longer wavelengths, but do not change much from MERRA-2 to the downscaled simulations or between the various downscaled simulations with different spatial resolutions. Thus, there is some credibility, but no significant value added compared to MERRA-2, of the downscaled climate simulations of the summer precipitation over the USGP.
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  • 10
    Publication Date: 2018-12-01
    Print ISSN: 0894-8755
    Electronic ISSN: 1520-0442
    Topics: Geography , Geosciences , Physics
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