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  • 1
    Online Resource
    Online Resource
    San Diego :Elsevier,
    Keywords: Drought forecasting. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (242 pages)
    Edition: 1st ed.
    ISBN: 9780128140123
    DDC: 551.5773
    Language: English
    Note: Front Cover -- Drought Early Warning and Forecasting -- Copyright Page -- Dedication -- Contents -- Foreword -- Preface -- Acknowledgments -- 1 Droughts, governance, disasters, and response systems -- 1.1 20th-century droughts-disasters and the El Niño-Southern Oscillation -- 1.2 21st-century droughts-developing effective early warning systems -- References -- 2 Drought early warning-definitions, challenges, and opportunities -- 2.1 Definitions-supply and demand, the many flavors of "dry" -- 2.2 Droughts-when water demand exceeds water supply -- 2.3 Slow-onset disasters -- 2.4 Quantifying drought magnitude in multiple dimensions -- 2.5 Impact-based sectoral or disciplinary definitions of drought -- 2.6 Contrasting recent U.S. and southern African droughts -- 2.7 Chapter review -- References -- 3 Drought early warning systems -- 3.1 The U.S. National Integrated Drought Information System -- 3.2 The Famine Early Warning Systems Network -- 3.3 Famine Early Warning Systems Network Food Security Outlooks -- 3.4 Multistage early warning-an Ethiopia example -- References -- Further reading -- 4 Tools of the trade 1-weather and climate forecasts -- 4.1 Examples of operational drought forecasting systems -- 4.1.1 U.S. Climate Prediction Center's monthly and seasonal drought outlook -- 4.1.2 Famine Early Warning Systems Network food insecurity outlook -- 4.1.3 Miscellaneous application of weather and climate forecasts for drought forecasting -- 4.2 Methods of weather and climate forecasts -- 4.2.1 Climatological forecasts -- 4.2.2 Persistence-based forecasts -- 4.2.3 Analog forecasts -- 4.2.4 Statistical forecasts -- 4.2.5 Dynamical forecasting -- 4.3 Sources of weather and climate forecast skill -- 4.4 Summary -- References -- Further reading -- 5 Tools of the trade 2-land surface models -- 5.1 Introduction -- 5.2 An overview of land surface models. , 5.3 Operational land surface models-based drought monitors -- 5.3.1 National Center for Environmental Prediction's North American Land Data Assimilation System (NLDAS) drought monitor -- 5.3.2 Africa Flood and Drought monitor -- 5.3.3 Global soil moisture monitoring -- 5.3.4 The Famine Early Warning Systems Network land data assimilation system -- 5.4 Limitations of drought monitoring using land surface models -- 5.5 Summary -- References -- 6 Tools of the trade 3-mapping exposure and vulnerability -- 6.1 Exposure and vulnerability -- 6.1.1 Exposure-an example for East Africa -- 6.1.2 Vulnerability -- 6.1.3 An Ethiopia case study -- 6.2 Conclusion -- References -- 7 Theory-understanding atmospheric demand in a warming world -- 7.1 Background -- 7.2 Reference evapotranspiration resistance terms -- 7.3 Defining reference crop evapotranspiration -- 7.4 The FAO 56 Penman-Monteith formulation -- 7.5 Temperature alone is insufficient to estimate reference evapotranspiration -- 7.6 Reference evapotranspiration decompositions and Morton's complementary hypothesis -- 7.7 Spatiotemporal variations in reference evapotranspiration and actual evapotranspiration, and their relationship to vuln... -- References -- 8 Theory-indices for measuring drought severity -- 8.1 Introduction -- 8.1.1 Consider multiple expressions of each individual data source -- 8.2 Length of record and nonstationary systematic errors -- 8.2.1 Frequently used satellite and "combination" drought indicators and indices -- 8.3 Per capita water availability -- 8.4 Summary and discussion -- References -- 9 Sources of drought early warning skill, staged prediction systems, and an example for Somalia -- 9.1 The ocean as a source of skill -- 9.2 Skill from persistent atmospheric conditions -- 9.3 Predictive skill from the land surface. , 9.4 Staged opportunities for prediction support defense-in-depth -- 9.4.1 Stage 1: long-lead climate forecast -- 9.4.2 Stage 2: short-lead climate forecasts -- 9.4.3 Stage 3: mid-season climate/weather forecasts -- 9.4.4 Stage 4: late-season impact assessments -- 9.5 Summary: staged strategies for effective early warning -- 9.6 Conclusion -- References -- 10 Practice-evaluating forecast skill -- 10.1 Introduction -- 10.2 Deterministic forecast skill scores -- 10.2.1 Pearson's correlation -- 10.2.1.1 Higher skill at lower lead -- 10.2.1.2 Lower skill in forecasting terrestrial precipitation -- 10.2.2 Spearman's rank correlation -- 10.2.3 Equitable threat score (Gilbert skill score) -- 10.3 Probabilistic forecast skill scores -- 10.3.1 Brier skill score -- 10.3.2 Ranked probability skill score -- 10.3.3 Reliability diagram -- 10.4 Summary -- References -- 11 Practice-integrating observations and climate forecasts -- 11.1 Approach -- 11.2 Bias-correction and downscaling methods -- 11.2.1 Bias-correction and spatial downscaling method -- 11.2.1.1 Bias-correction -- 11.2.1.2 Spatial downscaling -- 11.2.2 Constructed analog method -- 11.2.3 Multivariate Adaptive Constructed Analogs -- 11.2.4 Bayesian merging -- 11.3 An example: The NASA Hydrological and Forecast Analysis System -- 11.4 Summary -- References -- 12 Practice-actionable information and decision-making networks -- 12.1 Actionable information and the three pillars -- 12.2 Actionable information and decision-making networks-an example from famine early warning in East Africa -- 12.3 Conclusion -- References -- 13 Final thoughts -- References -- Index -- Back Cover.
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  • 2
    Online Resource
    Online Resource
    New York :Cambridge University Press,
    Keywords: Climatic changes. ; Electronic books.
    Description / Table of Contents: Droughts, floods, and fires impact millions of people and cost billions every year. Climate change is making these catastrophes more dangerous - NOW. This book describes how and why by combining the latest science with compelling stories to provide a timely, accessible, and beautifully written account of this critical topic.
    Type of Medium: Online Resource
    Pages: 1 online resource (336 pages)
    Edition: 1st ed.
    ISBN: 9781108881159
    DDC: 551.6
    Language: English
    Note: Cover -- Half-title -- Title page -- Copyright information -- Contents -- Acknowledgments -- 1 Climate Extremes, Climate Attribution, Extreme Event Attribution -- Introduction -- Exploring Recent Extremes -- Extreme Event Attribution and Prediction -- Book Structure and Intent -- 2 Welcome to an Awesome Planet: A Series of Delicate Balances Support Earth's Fragile Flame -- Enabling Occurrence 1: Balanced Dark Energy and Gravity -- Enabling Occurrence 2: A Green Galaxy -- Enabling Occurrence 3: Good Galactic Real Estate -- Enabling Occurrence 4: A Very Nice Star -- Enabling Occurrence 5: A Very Nice Atmosphere -- Enabling Occurrence 6: The Hadley and Walker Circulations -- Enabling Occurrence 7: Amazing Life -- Welcome to an Awesome Planet -- 3 The Earth Is a Negentropic System, or ''the Bright Side of Empty'' -- Principle 1: Emptiness Bad -- Principle 2: Energy Gradients Make Stuff Happen - or Not -- Conclusion -- 4 Do-It-Yourself Climate Change Science -- Observational Evidence for Climate Change -- 5 Temperature Extremes - Impacts and Attribution: Shocks, Exposure, and Vulnerability -- Small Changes Can Dramatically Increase the Chance of Extremes -- How Extreme Have Temperatures Been in 2015-2019? -- Quantifying Increases in Exposure to Extreme Air Temperatures -- Can We Attribute a Portion of These Impacts to Climate Change? -- Explosive Interactions with Future Population Growth -- Conclusion -- 6 Precipitation Extremes: Observations and Impacts -- Introduction -- A Conceptual Model of Temperature: Water Vapor Relationships -- Examining the Data -- 2015-2019 Impacts of Extreme Precipitation -- Climate Change Projections -- 7 Hurricanes, Cyclones, and Typhoons -- Complexities Surrounding Cyclone Attribution and Detection -- Storyline-Based Attribution Studies: An Example for Houston -- Conclusion: Climate Change Is Hurting People Now. , 8 Conceptual Models of Climate Change and Prediction, and How They Relate to Floods and Fires -- Introduction -- Contrasting ''Bathtub'' Warming with Energy Convergence Patterns -- Exceptional Flooding and Temperatures in 2019 -- Climate Change? -- Conceptual Models Can Lead to Rapid Transformation -- 9 Climate Change Made the 2015-2016 El Niño More Extreme -- Hunger, El Niño, and the Southern Oscillation -- Attributing Potential Climate Change Impacts on the 2015/2016 El Niño -- 10 Bigger La Niñas and the East African Climate Paradox -- Did Climate Change Make the 2017 East Africa Drought More Intense? -- Did Climate Change Make the 2017 March-to-May Drought More Intense? -- Putting the Pieces Together -- 11 Fire and Drought in the Western United States -- 2017 -- 2018 -- 12 Fire and Australia's Black Summer -- Conclusion -- 13 Driving toward +4C on a Dixie® Cup Planet -- Representative Concentration Pathways -- Examining the Global Carbon Budget -- Summarizing the Known Unknowns -- 14 We Can Afford to Wear a White Hat -- Why Our Human ''Time Bomb'' Can Be a Good Thing -- Appendix A Few Resources for Further Reading and Research -- Chapter 1 -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5 -- Chapter 6 -- Chapter 7 -- Chapter 8 -- Chapter 9 -- Chapter 10 -- Chapter 11 -- Chapter 12 -- Chapter 13 -- Chapter 14 -- Index.
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  • 3
    Publication Date: 2021-10-12
    Description: The seasonal cycle of rainfall over the Greater Horn of Africa (GHA) is dominated by the latitudinal migration and activity of the tropical rain belt (TRB). The TRB exhibits high interannual variability in the GHA and the reasons for the recent dry period in the Long Rains (March–May) are poorly understood. In addition, few studies have addressed the rainfall fluctuations during the Msimu Rains (Dec.–Mar.) in the southern GHA region. Interannual variations of the seasonal cycle of the TRB between 1981 and 2018 were analysed using two statistical indices. The Rainfall Cluster Index (RCI) describes the seasonal cycle as a succession of six characteristic rainfall patterns, while the Seasonal Location Index (SLI) captures the latitudinal location of the TRB. The SLI and RCI depict the full seasonal cycle of the TRB supporting interpretations of the interannual variations and trends. The Msimu Rains are dominated by two clusters with opposite rainfall characteristics between the Congo Basin and Tanzania. The associated anomalies in moisture flux and divergence indicate variations in the location of the TRB originating from an interplay between low-level air flows from the Atlantic and Indian Oceans and tropical and subtropical teleconnections. The peak period of the Long Rains shows a complex composition of five clusters, which is tightly connected to intraseasonal and interannual variability of latitudinal locations of the TRB. A persistent location of the TRB near the equator, evidenced in a frequent occurrence of a cluster related to an anomalously weak Walker circulation, is associated with wet conditions over East Africa. Dry Long Rains are associated with strong and frequent latitudinal variations of the TRB position with a late onset and intermittent rainfall. These results offer new opportunities to understand recent variability and trends in the GHA region.
    Keywords: 551.6 ; Greater Horn of Africa ; seasonal cycle of rainfall ; ropical rain belt ; interannual variability
    Language: English
    Type: map
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