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  • 1
    Online Resource
    Online Resource
    Newark :American Geophysical Union,
    Keywords: Floods. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (355 pages)
    Edition: 1st ed.
    ISBN: 9781119427209
    Series Statement: Geophysical Monograph Series
    DDC: 363.34929
    Language: English
    Note: Cover -- Title Page -- Copyright Page -- Contents -- List of Contributors -- Preface -- Part I Remote Sensing for Global Drought and Flood Observations -- Chapter 1 Progress, Challenges, and Opportunities in Remote Sensing of Drought -- 1.1. INTRODUCTION -- 1.2. PROGRESS IN REMOTE SENSING OF DRIVERS OF DROUGHT -- 1.3. MULTI-INDICATOR DROUGHT MODELING -- 1.4. DROUGHT AND HEATWAVES FEEDBACKS -- 1.5. REMAINING CHALLENGES AND OPPORTUNITIES -- 1.6. CONCLUSION -- REFERENCES -- Chapter 2 Remote Sensing of Evapotranspiration for Global Drought Monitoring -- 2.1. INTRODUCTION -- 2.2. HISTORICAL SKETCH OF ET REMOTE SENSING STUDIES AND ET DATA PRODUCTS -- 2.3. ESTIMATING ET AND MONITORING DROUGHT WITH GEOSTATIONARY SATELLITE THERMAL OBSERVATIONS -- 2.4. DROUGHT MONITORING PRODUCT SYSTEM BASED ON ET REMOTE SENSING -- 2.5. COMBINING ET REMOTE SENSING WITH MICROWAVE SOIL MOISTURE DATA FOR DROUGHT MONITORING -- 2.6. DISCUSSION -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 3 Drought Monitoring Using Reservoir Data Collected via Satellite Remote Sensing -- 3.1. INTRODUCTION -- 3.2. DROUGHT MONITORING USING REMOTELY SENSED RESERVOIR DATA -- 3.3. ADOPTING REMOTELY SENSED RESERVOIR DATA TO SUPPORT DROUGHT MODELING APPLICATIONS -- 3.4. FUTURE DIRECTIONS -- 3.5. DISCUSSION AND CONCLUSIONS -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 4 Automatic Near-Real-Time Flood Mapping from Geostationary Low Earth Orbiting Satellite Observations -- 4.1. INTRODUCTION -- 4.2. DATA USED -- 4.3. METHODS -- 4.4. APPLICATIONS -- 4.5. VALIDATION -- 4.6. DISCUSSION -- 4.7. SUMMARY -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 5 Global Flood Observation with Multiple Satellites: Applications in Rio Salado (Argentina) and the Eastern Nile Basin -- 5.1. INTRODUCTION: THE STATE OF THE SCIENCE AND NEED FOR GLOBAL SATELLITE FLOOD MAPPING -- 5.2. METHODS FOR GLOBAL FLOOD OBSERVATION. , 5.3. WATERSHED CASE STUDIES: ARGENTINA AND THE EASTERN NILE REGION -- 5.4. RESULTS FROM FLOOD MAPPING IN CASE STUDIES -- 5.5. LIMITATIONS AND FUTURE DIRECTIONS FOR THE UTILITY OF SATELLITE FLOOD-EVENT DATA -- 5.6. CONCLUSION -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 6 Integrating Earth Observation Data of Floods with Large-Scale Hydrodynamic Models -- 6.1. INTRODUCTION -- 6.2. EARTH OBSERVATION FLOOD DATA -- 6.3. INTEGRATION OF EO DATA AND FLOOD MODELS -- 6.4. OUTLOOK -- 6.5. CONCLUSION -- REFERENCES -- Part II Modeling and Prediction of Global Drought and Flood -- Chapter 7 Global Integrated Drought Monitoring with a Multivariate Framework -- 7.1. INTRODUCTION -- 7.2. METHOD -- 7.3. DATA -- 7.4. RESULTS -- 7.5. CONCLUSION -- REFERENCES -- Chapter 8 A Probabilistic Framework for Agricultural Drought Forecasting Using the Ensemble Data Assimilation and Bayesian Multivariate Modeling -- 8.1. INTRODUCTION -- 8.2. REVIEW OF CURRENT DROUGHT FORECASTING SYSTEMS -- 8.3. THE PROPOSED COUPLED DYNAMICAL-STATISTICAL DROUGHT FORECASTING SYSTEM -- 8.4. CASE STUDIES -- 8.5. CONCLUSIONS AND DISCUSSION -- REFERENCES -- Chapter 9 Integrating Soil Moisture Active/Passive Observations with Rainfall Data Using an Analytic Model for Drought Monitoring at the Continental Scale -- 9.1. INTRODUCTION -- 9.2. DATA AND METHOD -- 9.3. RESULTS -- 9.4. DISCUSSION AND CONCLUSIONS -- ACKNOWLEDGEMENTS -- REFERENCES -- Chapter 10 Global Flood Models -- 10.1. INTRODUCTION -- 10.2. TYPES OF GFM AND SPECIFIC EXAMPLES -- 10.3. APPLICATIONS OF GLOBAL FLOOD MODELS -- 10.4. INSURANCE CATASTROPHE MODELS -- 10.5. GFM CREDIBILITY -- 10.6. THE FUTURE OF GFMS -- REFERENCES -- Chapter 11 Calibration of Global Flood Models: Progress, Challenges, and Opportunities -- 11.1. INTRODUCTION -- 11.2. GLOBAL HYDROLOGICAL MODEL CALIBRATION. , 11.3. MAIN CHALLENGES OF CALIBRATING GLOBAL HYDROLOGICAL MODELS -- 11.4. EMERGING OPPORTUNITIES -- 11.5. SUMMARY -- REFERENCES -- Chapter 12 Digital Elevation Model and Drainage Network Data Sets for Global Flood and Drought Modeling -- 12.1. INTRODUCTION -- 12.2. GLOBAL BASELINE DIGITAL ELEVATION DATA FOR HYDROLOGICAL MODELING -- 12.3. GLOBAL HYDROGRAPHY DATA SETS -- 12.4. CHALLENGES AND OPPORTUNITIES -- 12.5. SUMMARY -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 13 Fundamental Data Set for Global Drought and Flood Modeling: Land Use and Land Cover -- 13.1. INTRODUCTION -- 13.2. GLOBAL LAND COVER DATA SETS -- 13.3. DISCUSSION -- REFERENCES -- Part III Global Drought and Flood Risk Assessment, Management, and Socioeconomic Response -- Chapter 14 Global River Flood Risk Under Climate Change -- 14.1. INTRODUCTION -- 14.2. MODELING GLOBAL RIVER FLOOD RISK: GENERAL CONCEPTS AND METHODS -- 14.3. THE GLOFRIS MODELING FRAMEWORK -- 14.4. CAMA-FLOOD AND ISIMIP MODELING FRAMEWORKS -- 14.5. THE GAR-2015 FLOOD RISK FRAMEWORK -- 14.6. THE JOINT RESEARCH CENTRE MODEL -- 14.7. OTHER FLOOD RISK MODELS -- 14.8. CONCLUSIONS -- REFERENCES -- Chapter 15 Direct Tangible Damage Classification and Exposure Analysis Using Satellite Images and Media Data -- 15.1. INTRODUCTION -- 15.2. DATA AND STUDY SITE -- 15.3. METHOD -- 15.4. RESULTS -- 15.5. DISCUSSION -- 15.6. CONCLUSIONS -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 16 Flood Risk and Monitoring Data for Preparedness and Response: From Availability to Use -- 16.1. INTRODUCTION -- 16.2. CHALLENGES IN UNDERSTANDING AND TRUSTING FLOOD DATA -- 16.3. TWO CASE STUDIES FRAMING THE DISCONNECT BETWEEN FLOOD DATA DEVELOPERS AND DECISION MAKERS -- 16.4. IDENTIFICATION OF COMMON THEMES FOUND IN THE QUESTIONS ASKED WITHIN THE CASE STUDIES -- 16.5. SUGGESTED OPPORTUNITIES TO MOVE TOWARDS NARROWING THE GAP -- 16.6. CONCLUSION. , ACKNOWLEDGMENTS -- REFERENCES -- Chapter 17 Global Flood Partnership* -- 17.1. INTRODUCTION -- 17.2. MODELS AND PRODUCTS -- 17.3. GFP ACTIVATIONS -- 17.4. DISCUSSION AND CONCLUSIONS -- REFERENCES -- Chapter 18 Drought and Flood Monitoring and Forecasting: Challenges and Opportunities Ahead -- 18.1. REMOTE SENSING FOR DROUGHT AND FLOOD MODELING -- 18.2. DROUGHT AND FLOOD MODELING -- 18.3. RISK ANALYSIS AND COLLABORATION -- 18.4. PERSPECTIVE -- Index -- EULA.
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  • 2
    Online Resource
    Online Resource
    Newark :American Geophysical Union,
    Keywords: Climatic changes--Effect of human beings on. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (253 pages)
    Edition: 1st ed.
    ISBN: 9781118971796
    Series Statement: Geophysical Monograph Series ; v.221
    Language: English
    Note: Intro -- TITLE PAGE -- COPYRIGHT PAGE -- CONTENTS -- CONTRIBUTORS -- PREFACE -- ACKNOWLEDGMENTS -- Part I Overview of the Changes in the Terrestrial Water Cycle -- Chapter 1 Macroscale Hydrological Modeling and Global Water Balance -- 1.1. INTRODUCTION -- 1.2. COMPONENTS OF TERRESTRIAL HYDROLOGICAL CYCLES -- 1.3. GLOBAL WATER BALANCE IN EARLY ERA -- 1.4. MACROSCALE MODELING FOR WATER CYCLE IN NATURE -- 1.5. CLIMATE CHANGE AND HUMAN IMPACT -- 1.6. INTERNATIONAL COLLABORATION AND CAPACITY BUILDING -- 1.7. PROSPECTS FOR GLOBAL HYDROLOGY AND MODEL DEVELOPMENT -- REFERENCES -- Chapter 2 Historical and Future Changes in Streamflow and Continental Runoff: A Review -- 2.1. INTRODUCTION -- 2.2. STREAMFLOW AND RUNOFF DATA -- 2.3. HISTORICAL CHANGES IN STREAMFLOW AND RUNOFF -- 2.4. MODEL-PROJECTED FUTURE CHANGES IN RUNOFF AND STREAMFLOW -- 2.5. SUMMARY -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 3 Changes in the Global Terrestrial Water Cycle: A Review and Synthesis -- 3.1. INTRODUCTION -- 3.2. DEVELOPMENT OF LONG-TERM RETROSPECTIVE WATER BUDGET DATA SET -- 3.3. ASSESSMENTS OF THE RETROSPECTIVE WATER BUDGET -- 3.4. CONCLUSIONS AND DISCUSSIONS -- ACKNOWLEDGMENTS -- REFERENCES -- Part II Human Alterations of the Terrestrial Water Cycle -- Chapter 4 Human-Induced Changes in the Global Water Cycle -- 4.1. INTRODUCTION -- 4.2. MACROSCALE WATER MANAGEMENT MODELS AND INTERCOMPARISONS -- 4.3. GLOBAL CONSUMPTIVE USE OF WATER -- 4.4. RESERVOIR CONTRIBUTIONS TO GLOBAL LAND SURFACE WATER STORAGE VARIATIONS -- 4.5. CONCLUSIONS -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 5 Impacts of Groundwater Pumping on Regional and Global Water Resources -- 5.1. INTRODUCTION -- 5.2. HUMAN WATER USE AND GROUNDWATER PUMPING -- 5.3. DIRECT AND INDIRECT CLIMATE IMPACTS ON GROUNDWATER RESOURCES -- 5.4. GLOBAL AND REGIONAL ESTIMATES OF GROUNDWATER DEPLETION. , 5.5. GROUNDWATER DEPLETION AND SEA-LEVEL RISE -- 5.6. FUTURE PROJECTIONS OF GROUNDWATER DEPLETION AND THE SUSTAINABILITY OF HUMAN WATER USE -- 5.7. A WAY FORWARD -- REFERENCES -- Chapter 6 Land Use/Cover Change Impacts on Hydrology in Large River Basins: A Review -- 6.1. INTRODUCTION -- 6.2. EXAMINED VARIABLES -- 6.3. APPROACHES -- 6.4. LAND COVER CHANGE IMPACTS -- 6.5. OUTSTANDING ISSUES -- 6.6. CONCLUSIONS -- ACKNOWLEDGMENTS -- REFERENCES -- Part III Recent Advances in Hydrological Measurement and Observation -- Chapter 7 GRACE-Based Estimates of Global Groundwater Depletion -- 7.1. INTRODUCTION -- 7.2. GLOBAL GROUNDWATER CHANGES -- 7.3. SUMMARY -- 7.4. DISCUSSION -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 8 Regional-Scale Combined Land-Atmosphere Water Balance Based on Daily Observations in Illinois -- 8.1. INTRODUCTION -- 8.2. DATA -- 8.3. THEORY AND METHODOLOGY -- 8.4. RESULTS -- 8.5. CONCLUSIONS -- REFERENCES -- Part IV Integrated Modeling of the Terrestrial Water Cycle -- Chapter 9 Drivers of Change in Managed Water Resources: Modeling the Impacts of Climate and Socioeconomic Changes Using the US Midwest as a Case Study -- 9.1. INTRODUCTION -- 9.2. MODELING FRAMEWORK -- 9.3. REGIONAL APPLICATION: DOMAIN, FORCING, AND EXPERIMENTAL APPROACH -- 9.4. APPLICATION IN THE CONTEXT OF GLOBAL CHANGE -- 9.5. DISCUSSION AND CONCLUSION -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 10 Modeling the Role of Vegetation in Hydrological Responses to Climate Change -- 10.1. INTRODUCTION -- 10.2. ADVANCES IN HYDROLOGICAL MODELING -- 10.3. MODEL EXPERIMENT -- 10.4. HYDROLOGICAL MODELING RESULTS -- 10.5. DISCUSSION AND CONCLUSIONS -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 11 Estimating Virtual Water Contents Using a Global Hydrological Model: Basis and Applications -- 11.1. INTRODUCTION -- 11.2. BASIS -- 11.3. APPLICATIONS: OBJECTIVE AND METHODS. , 11.4. RESULTS AND DISCUSSION -- 11.5. CONCLUSIONS -- ACKNOWLEDGMENTS -- REFERENCES -- Index -- EULA.
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  • 3
    Publication Date: 2023-06-14
    Description: Global Water Models (GWMs), which include Global Hydrological, Land Surface, and Dynamic Global Vegetation Models, present valuable tools for quantifying climate change impacts on hydrological processes in the data scarce high latitudes. Here we performed a systematic model performance evaluation in six major Pan-Arctic watersheds for different hydrological indicators (monthly and seasonal discharge, extremes, trends (or lack of), and snow water equivalent (SWE)) via a novel Aggregated Performance Index (API) that is based on commonly used statistical evaluation metrics. The machine learning Boruta feature selection algorithm was used to evaluate the explanatory power of the API attributes. Our results show that the majority of the nine GWMs included in the study exhibit considerable difficulties in realistically representing Pan-Arctic hydrological processes. Average APIdischarge (monthly and seasonal discharge) over nine GWMs is 〉 50% only in the Kolyma basin (55%), as low as 30% in the Yukon basin and averaged over all watersheds APIdischarge is 43%. WATERGAP2 and MATSIRO present the highest (APIdischarge 〉 55%) while ORCHIDEE and JULES-W1 the lowest (APIdischarge ≤ 25%) performing GWMs over all watersheds. For the high and low flows, average APIextreme is 35% and 26%, respectively, and over six GWMs APISWE is 57%. The Boruta algorithm suggests that using different observation-based climate data sets does not influence the total score of the APIs in all watersheds. Ultimately, only satisfactory to good performing GWMs that effectively represent cold-region hydrological processes (including snow-related processes, permafrost) should be included in multi-model climate change impact assessments in Pan-Arctic watersheds.
    Description: Bundesministerium für Bildung und Forschung http://dx.doi.org/10.13039/501100002347
    Keywords: ddc:551.48 ; Global Water Models ; Model performance ; Model evaluation ; Arctic watersheds ; Boruta feature selection
    Language: English
    Type: doc-type:article
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  • 4
    Publication Date: 2023-06-14
    Description: Importance of evaluation of global hydrological models (gHMs) before doing climate impact assessment was underlined in several studies. The main objective of this study is to evaluate the performance of six gHMs in simulating observed discharge for a set of 57 large catchments applying common metrics with thresholds for the monthly and seasonal dynamics and summarize them estimating an aggregated index of model performance for each model in each basin. One model showed a good performance, and other five showed a weak or poor performance in most of the basins. In 15 catchments, evaluation results of all models were poor. The model evaluation was supplemented by climate impact assessment for a subset of 12 representative catchments using (1) usual ensemble mean approach and (2) weighted mean approach based on model performance, and the outcomes were compared. The comparison of impacts in terms of mean monthly and mean annual discharges using two approaches has shown that in four basins, differences were negligible or small, and in eight catchments, differences in mean monthly, mean annual discharge or both were moderate to large. The spreads were notably decreased in most cases when the second method was applied. It can be concluded that for improving credibility of projections, the model evaluation and application of the weighted mean approach could be recommended, especially if the mean monthly (seasonal) impacts are of interest, whereas the ensemble mean approach could be applied for projecting the mean annual changes. The calibration of gHMs could improve their performance and, consequently, the credibility of projections.
    Description: BMBF
    Description: JSPS KAKENHI
    Description: NSFC
    Keywords: ddc:551.48 ; Climate change ; Global hydrological models ; River discharge projections ; Model evaluation ; Model performance ; Model weighting ; Credibility of projections
    Language: English
    Type: doc-type:article
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