Remote sensing of the terrestrial water cycle
Remote Sensing of the Terrestrial Water Cycle is an outcome of the AGU Chapman Conference held in February 2012. This is a comprehensive volume that examines the use of available remote sensing satellite data as well as data from future missions that can be used to expand our knowledge in quantifyin...
| Autores Corporativos: | , |
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| Otros Autores: | |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Washington, D.C. : Hoboken, New Jersey :
AGU, American Geophysical Union
[2014]
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| Colección: | Wiley ebooks.
Geophysical monograph ; 206. |
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b46143609*spi |
Tabla de Contenidos:
- Remote Sensing of the Terrestrial Water Cycle, Geophysical Monograph 206; Copyright; Contents; Contributors; Preface; Section I: Precipitation; Chapter 1 Rain/No-Rain Classification Using Passive Microwave Radiometers; 1.1. Introduction; 1.2. Principles of Passive Microwave Satellite Measurements; 1.3. Atmospheric Attenuation of Microwaves; 1.4. Rain/No-Rain Classification Methods; 1.5. RNC Performance Analysis; 1.6. Open Questions; 1.7. Conclusions; Acknowledgments; References; Chapter 2 Improvement of TMI Rain Retrieval Over the Indian Subcontinent; 2.1. Introduction.
- 2.2. GSMaP MWR Algorithm 2.3. Improvement of Orographic/Nonorographic Classification Scheme; 2.4. Improvement of Precipitation-Related Variable Models in RTM Calculations; 2.5. Summary and Future Work; 2.6. Acknowledgments; References; Chapter 3 Integrating Information from Satellite Observations and Numerical Models for Improved Global Precipitation Analyses: Exploring for an Optimal Strategy; 3.1. Introduction; 3.2. Current Generation CMORPH and its Limitations; 3.3. Kalman-Filter-Based CMORPH Integration Algorithm; 3.4. Potential Information Sources for Global Precipitation Definition.
- 3.5. Potential Information Sources for the Definition of Cloud Motion Vectors 3.6. Strategy for Constructing Pole-to-Pole CMORPH; 3.7. Conclusions and Discussions; Acknowledgments; References; Chapter 4 Research Framework to Bridge from the Global Precipitation Measurement Mission Core Satellite to the Constellation Sensors Using Ground-Radar-Based National Mosaic QPE; 4.1. Introduction; 4.2. Reference for Evaluation of Level 2 Satellite-Based Precipitation Retrievals; 4.3. Comparison Between Ground-Based and Space-Based Radars.
- 4.4. Comparison Between Ground-Based Radars and Space-Based Passive Sensors 4.5. Conclusions and Perspectives; References; Section II: Evapotranspiration; Chapter 5 Estimating Regional Evapotranspiration Using a Three-Temperature Model and MODIS Products; 5.1. Introduction; 5.2. Materials and Methods; 5.3. Results and Discussions; 5.4. Conclusion; Acknowledgments; References; Chapter 6 Water Use and Stream-Aquifer-Phreatophyte Interaction Along a Tamarisk-Dominated Segment of the Lower Colorado River; 6.1. Introduction; 6.2. Methods and Materials; 6.3. Results and Discussion; 6.4. Conclusions.
- Acknowledgments References; Section III: Surface Water; Chapter 7 Controls of Terrestrial Water Storage Changes Over the Central Congo Basin Determined by Integrating Palsar ScanSar, Envisat Altimetry, and Grace Data; 7.1. Introduction; 7.2. Data Sets; 7.3. Results; 7.4. Conclusion and Discussions; Acknowledgments; References; Chapter 8 Spatial Patterns of River Width in the Yukon River Basin; 8.1. Introduction; 8.2. Study Area; 8.3. Data and Methods; 8.4. Results; 8.5. Discussion and Conclusions; Acknowledgments; References; Chapter 9 Near-Nadir Ka-band Field Observations of Freshwater Bodies.
