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  • Hydrological forecasting.  (1)
  • land conditions  (1)
  • 1
    Online Resource
    Online Resource
    Newark :American Geophysical Union,
    Keywords: Hydrological forecasting. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (269 pages)
    Edition: 1st ed.
    ISBN: 9781119159155
    Series Statement: Geophysical Monograph Series
    DDC: 363.348
    Language: English
    Note: Cover -- Title Page -- Copyright Page -- Contents -- List of Contributors -- Preface -- Chapter 1 Interdisciplinary Perspectives on Remote Sensing for Monitoring and Predicting Water-Related Hazards -- 1.1. BACKGROUND -- 1.2. ADVANCES IN REMOTE SENSING TECHNOLOGIES -- 1.3. OBJECTIVES AND ORGANIZATION OF THE BOOK -- REFERENCES -- Part I Remote Sensing of Precipitation and Storms -- Chapter 2 Progress in Satellite Precipitation Products over the Past Two Decades: Evaluation and Application in Flash Flood Warning -- 2.1. INTRODUCTION -- 2.2. STUDY AREA AND DATASETS -- 2.3. METHODOLOGY -- 2.4. RESULIS -- 2.5. SUMMARY AND CONCLUSION -- APPENDIX: ABBREVIATIONs -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 3 Observations of Tornadoes and Their Parent Supercells Using Ground-Based, Mobile Doppler Radars -- 3.1. INTRODUCTION: THE MOTIVATION FOR GROUND-BASED, MOBILE DOPPLER RADARS -- 3.2. A HISTORY OF GROUND-BASED, MOBILE DOPPLER RADARS AND ANALYSIS TECHNIQUES -- 3.3. OBSERVATIONS OF THE STRUCTURE OF TORNADOES AND THEIR PARENT STORMS -- 3.4. OBSERVATIONS OF TORNADOGENESIS AND TORNADO EVOLUTION -- 3.5. FUTURE RADAR DEVELOPMENT AND OTHER RADAR-RELATED ACTIVITIES -- 3.6. SUMMARY -- ACKNOWLEDGMENTS -- REFERENCES -- Part II Remote Sensing of Floods and Associated Hazards -- Chapter 4 Remote Sensing Mapping and Modeling for Flood Hazards in Data-Scarce Areas: A Case Study in Nyaungdon Area, Myanmar -- 4.1. INTRODUCTION -- 4.2. METHODOLOGY -- 4.3. STUDY AREA AND DATA -- 4.4. RESULTS AND DISCUSSION -- 4.5. CONCLUSION -- REFERENCES -- Chapter 5 Multisensor Remote Sensing and the Multidimensional Modeling of Extreme Flood Events: A Case Study of Hurricane Harvey-Triggered Floods in Houston, Texas, USA -- 5.1. INTRODUCTION -- 5.2. THE DETECTABILITY OF REMOTE SENSING TECHNOLOGY OVER THE EXTREME EVENT. , 5.3. INTEGRATION OF REMOTE SENSING AND CREST FOR HURRICANE HARVEY FLOOD SIMULATION -- 5.4. CONCLUSION AND FUTURE OUTLOOK -- REFERENCES -- Chapter 6 A Multisource, Data-Driven, Web-GIS-Based Hydrological Modeling Framework for Flood Forecasting and Prevention -- 6.1. INTRODUCTION -- 6.2. MATERIALS AND METHODS -- 6.3. EVALUATIONS AND RESULTS -- 6.4. DISCUSSION -- 6.5. CONCLUSION -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 7 An Ensemble-Based, Remote-Sensing-Driven, Flood-Landslide Early Warning System -- 7.1. INTRODUCTION -- 7.2. METHODOLOGY -- 7.3. STUDY AREA -- 7.4. RESULTS -- 7.5. CONCLUSIONS AND SUMMARY -- REFERENCES -- Chapter 8 Detection of Hazard-Damaged Bridges Using Multitemporal High-Resolution SAR Imagery -- 8.1. INTRODUCTION -- 8.2. BACKSCATTERING MODEL OF BRIDGES OVER WATER -- 8.3. THE STUDY AREA AND IMAGE DATA -- 8.4. METHODOLOGY FOR DAMAGE ASSESSMENT OF BRIDGES -- 8.5. RESULTS AND DISCUSSIONS -- 8.6. CONCLUSIONS -- ACKNOWLEDGMENTS -- REFERENCES -- Part III Remote Sensing of Droughts and Associated Hazards -- Chapter 9 Drought Monitoring Based on Remote Sensing -- 9.1. INTRODUCTION -- 9.2. PROGRESS IN RS-BASED DROUGHT MONITORING -- 9.3. CASE STUDY -- 9.4. CONCLUSIONS AND OUTLOOK -- REFERENCES -- Chapter 10 Remote Sensing of Vegetation Responses to Drought Disturbances Using Spaceborne Optical and Near-Infrared Sensors -- 10.1. INTRODUCTION -- 10.2. DROUGHTS AND THEIR ECOPHYSIOLOGICAL IMPACTS ON ECOSYSTEMS -- 10.3. REMOTE SENSING OF VEGETATION RESPONSES TO DROUGHTS -- 10.4. CASE STUDY IN YUNNAN PROVINCE, CHINA -- 10.5. SUMMARY AND CONCLUSIONS -- REFERENCES -- Chapter 11 Recent Advances in Physical Water Scarcity Assessment Using GRACE Satellite Data -- 11.1. INTRODUCTION -- 11.2. MATERIAL AND METHODS -- 11.3. RESULTS AND DISCUSSION -- 11.4. SUMMARY AND CONCLUSION -- ACKNOWLEDGMENTS -- REFERENCES. , Chapter 12 Study of Water Cycle Variation in the Yellow River Basin Based on Satellite Remote Sensing and Numerical Modeling -- 12.1. INTRODUCTION -- 12.2. STUDY AREA -- 12.3. METHODS -- 12.4. RESULTS -- 12.5. SUMMARY -- ACKNOWLEDGMENTs -- REFERENCES -- Chapter 13 Assessing the Impact of Climate Change-Induced Droughts on Soil Salinity Development in Agricultural Areas Using Ground and Satellite Sensors -- 13.1. INTRODUCTION -- 13.2. GROUND AND SATELLITE SENSOR APPROACHES FOR MEASSURING/MAPPING SOIL SALINITY -- 13.3. IMPACTS AND IMPLICATIONS OF CLIMATE CHANGE ON SOIL SALINITY DEVELOPMENT: WESTSIDE SAN JOAQUIN VALLEY CASE STUDY -- ACKNOWLEDGMENTS -- REFERENCES -- Index -- EULA.
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  • 2
    Publication Date: 2024-02-28
    Description: 〈title xmlns:mml="http://www.w3.org/1998/Math/MathML"〉Abstract〈/title〉〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉Extremely high land surface temperatures affect soil ecological processes, alter land‐atmosphere interactions, and may limit some forms of life. Extreme surface temperature hotspots are presently identified using satellite observations or deduced from complex Earth system models. We introduce a simple, yet physically based analytical approach that incorporates salient land characteristics and atmospheric conditions to globally identify locations of extreme surface temperatures and their upper bounds. We then provide a predictive tool for delineating the spatial extent of land hotspots at the limits to biological adaptability. The model is in good agreement with satellite observations showing that temperature hotspots are associated with high radiation and low wind speed and occur primarily in Middle East and North Africa, with maximum temperatures exceeding 85°C during the study period from 2005 to 2020. We observed an increasing trend in maximum surface temperatures at a rate of 0.17°C/decade. The model allows quantifying how upper bounds of extreme temperatures can increase in a warming climate in the future for which we do not have satellite observations and offers new insights on potential impacts of future warming on limits to plant growth and biological adaptability.〈/p〉
    Description: Plain Language Summary: While satellite imagery can identify extreme land surface temperatures, land and atmospheric conditions for the onset of maximum land surface temperature (LST) have not yet been globally explored. We developed a physically based analytical model for quantifying the value and spatial extent of maximum LST and provide insights into combinations of land and atmospheric conditions for the onset of such temperature extremes. Results show that extreme LST hotspots occur primarily in the Middle East and North Africa with highest values near 85°C. Importantly, persistence of surface temperatures exceeding 75°C limits vegetation growth and disrupts primary productivity such as in Lut desert in Iran. The study shows that with global warming, regions with prohibitive land surface temperatures will expand.〈/p〉
    Description: Key Points: 〈list list-type="bullet"〉 〈list-item〉 〈p xml:lang="en"〉Hotspots for high land surface temperatures (LSTs) were globally identified using a physically based analytical approach incorporating land and atmospheric conditions〈/p〉〈/list-item〉 〈list-item〉 〈p xml:lang="en"〉High LSTs primarily occur in Middle East and North Africa with values exceeding 85°C〈/p〉〈/list-item〉 〈list-item〉 〈p xml:lang="en"〉Maximum LSTs rising at a rate of 0.17°C/decade may limit plant growth and biological adaptability in a warming world〈/p〉〈/list-item〉 〈/list〉 〈/p〉
    Description: Hamburg University of Technology
    Description: European Union's Horizon Europe Research and Innovation Programme
    Description: https://disc.gsfc.nasa.gov/datasets/M2I1NXLFO_5.12.4/summary
    Description: https://disc.gsfc.nasa.gov/datasets/M2T1NXRAD_5.12.4/summary
    Description: https://doi.org/10.5067/MODIS/MCD12C1.006
    Description: https://doi.org/10.3133/ofr20111073
    Description: https://www.nccs.nasa.gov/services/data-collections/land-based-products/nex-gddp-cmip6
    Description: https://doi.org/10.3334/ORNLDAAC/1247
    Keywords: ddc:551.5 ; maximum land surface temperature (LST) ; land conditions ; atmospheric conditions ; LST hotspots
    Language: English
    Type: doc-type:article
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