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 quantifying the spatial and temporal variations in the terrestrial water cycle.
Volume highlights include:
- An in-depth discussion of the global water cycle
- Approaches to various problems in climate, weather, hydrology, and agriculture
- Applications of satellite remote sensing in measuring precipitation, surface water, snow, soil moisture, groundwater, modeling, and data assimilation
- A description of the use of satellite data for accurately estimating and monitoring the components of the hydrological cycle
- Discussion of the measurement of multiple geophysical variables and properties over different landscapes on a temporal and a regional scale
Remote Sensing of the Terrestrial Water Cycle is a valuable resource for students and research professionals in the hydrology, ecology, atmospheric sciences, geography, and geological sciences communities.

List of contents

Contributors ix
Preface
Venkat Lakshmi, Douglas Alsdorf, Martha Anderson, Sylvain Biancamaria, Michael H. Cosh, Jared Entin, George J. Huffman, William Kustas, Peter van Oevelen, Thomas H. Painter, Juraj Parajka, Matthew Rodell, and Christoph Rüdiger
Section I: Precipitation 1
1. Rain/No-Rain Classification Using Passive Microwave Radiometers 3
J. Indu and D. Nagesh Kumar
2. Improvement of TMI Rain Retrieval Over the Indian Subcontinent 27
Shoichi Shige, Munehisa K. Yamamoto, and Aina Taniguchi
3. Integrating Information from Satellite Observations and Numerical Models for Improved Global Precipitation Analyses: Exploring for an Optimal Strategy 43
Pingping Xie and Robert J. Joyce
4. Research Framework to Bridge from the Global Precipitation Measurement Mission Core
Satellite to the Constellation Sensors Using Ground-Radar-Based National Mosaic QPE 61
Pierre-Emmanuel Kirstetter, Yang Hong, Jonathan J. Gourley, Qing Cao, M. Schwaller, and W. Petersen
Section II: Evapotranspiration 81
5. Estimating Regional Evapotranspiration Using a Three-Temperature Model and MODIS Products 83
Yu Jiu Xiong, Guo Yu Qiu, Shao Hua Zhao, and Fei Tian
6. Water Use and Stream-Aquifer-Phreatophyte Interaction Along a Tamarisk-Dominated Segment of the Lower Colorado River 95
Saleh Taghvaeian, Christopher M.U. Neale, John Osterberg, Subramania I. Sritharan, and Doyle R. Watts
Section III: Surface Water 115
7. Controls of Terrestrial Water Storage Changes Over the Central Congo Basin Determined by Integrating Palsar Scansar, Envisat Altimetry, and Grace Data 117
Hyongki Lee, Hahn Chul Jung, Ting Yuan, R. Edward Beighley, and Jianbin Duan
8. Spatial Patterns of River Width in the Yukon River Basin 131
Tamlin M. Pavelsky, George H. Allen, and Zachary F. Miller
9. Near-Nadir Ka-band Field Observations of Freshwater Bodies 143
Delwyn Moller and Daniel Esteban-Fernandez
Section IV: Snow 157
10. Snow Cover Depletion Curves and Snow Water Equivalent Reconstruction: Six Decades of Hydrologic Remote Sensing Applications 159
Noah P. Molotch, Michael T. Durand, Bin Guan, Steven A. Margulis, and Robert E. Davis
11. Retrieval and Validation of VIIRS Snow Cover Information for Terrestrial Water Cycle Applications 175
Igor Appel
12. Seeing the Snow Through the Trees: Toward a Validated Canopy Adjustment for Satellite Snow-Covered Area 199
Lexi P. Coons, Anne W. Nolin, Kelly E. Gleason, Eugene J. Mar, Karl Rittger, Travis R. Roth, and Thomas H. Painter
13. Passive Microwave Remote Sensing of Snowmelt and Melt-Refreeze Using Diurnal Amplitude Variations 215
Kathryn Alese Semmens, Joan Ramage, Jeremy D. Apgar, Katrina E. Bennett, Glen E. Liston, and Elias Deeb
14. Changes in Snowpacks of Canadian Prairies for 1979-2004 Detected from Snow Water
Equivalent Data of SMMR and SSM/I Passive Microwave and Related Climatic Factors 227
Thian Yew Gan, Roger G. Barry, and Adam K. Gobena
Section V: Soil Moisture 245
15. Some Issues in Validating Satellite-Based Soil Moisture Retrievals from SMAP with in Situ Observations 247
Thomas J. Jackson, Michael Cosh, and Wade Crow
16. Soil Moisture Retrieval from Microwave (RADARSAT-2) and Optical Remote Sensing (MODIS) Data Using Artificial Intelligence Techniques 255
Nasreen Jahan and Thian Yew Gan17. AMSR-E Soil Moisture Disaggregation Using MODIS and NLDAS Data 277
Bin Fang and Venkat Lakshmi
18. Assessing Near-Surface Soil Moisture Assimilation Impacts on Modeled Root-Zone Moisture for an Australian Agricultural Landscape 305
R. C. Pipunic, D. Ryu, and J. P. Walker
19. Assimilation of Satellite Soil Moisture Retrievals into Hydrologic Model for Improving River Discharge 319
Feyera A. Hirpa, Mekonnen Gebremichael, Thomas M. Hopson, Rafal Wojick, and Haksu Lee
20. NASA Giovanni: A Tool for Visualizing, Analyzing, and Intercomparing Soil Moisture Data 331
William Teng, Hualan Rui, Bruce Vollmer, Richard de Jeu, Fan Fang, Guang-Dih Lei, and Robert Parinussa
Section VI: Groundwater 347
21. Mo

Summary

"This work is a co-publication between the American Geophysical Union & John Wiley & Sons, Inc."

Product details

• Authors: Venkataraman Lakshmi
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Hardback
• Released: 26.11.2014
• EAN: 9781118872031
• ISBN: 978-1-118-87203-1
• No. of pages: 576
• Series: Geophysical Monograph Series; Geophysical Monograph; Geophysical Monograph Series
• Subject: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering