Atjaunināt sīkdatņu piekrišanu

E-grāmata: Remote Sensing of Aerosols, Clouds, and Precipitation

Edited by (Research Associate, University of Wisconsin, Madison, USA), Edited by (NASA Jet Propulsion Laboratory, Pasadena, CA, USA), Edited by (NASA Langley Research Center, Hampton, VA, USA), Edited by (EUMETSAT, Darmstadt, Germany)
  • Formāts: EPUB+DRM
  • Izdošanas datums: 18-Oct-2017
  • Izdevniecība: Elsevier Science Publishing Co Inc
  • Valoda: eng
  • ISBN-13: 9780128104385
  • Formāts - EPUB+DRM
  • Cena: 124,85 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Ielikt grozā
  • Pievienot vēlmju sarakstam
  • Šī e-grāmata paredzēta tikai personīgai lietošanai. E-grāmatas nav iespējams atgriezt un nauda par iegādātajām e-grāmatām netiek atmaksāta.
  • Formāts: EPUB+DRM
  • Izdošanas datums: 18-Oct-2017
  • Izdevniecība: Elsevier Science Publishing Co Inc
  • Valoda: eng
  • ISBN-13: 9780128104385

DRM restrictions

  • Kopēšana (kopēt/ievietot):

    nav atļauts

  • Drukāšana:

    nav atļauts

  • Lietošana:

    Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
    Izdevējs ir piegādājis šo grāmatu šifrētā veidā, kas nozīmē, ka jums ir jāinstalē bezmaksas programmatūra, lai to atbloķētu un lasītu. Lai lasītu šo e-grāmatu, jums ir jāizveido Adobe ID. Vairāk informācijas šeit. E-grāmatu var lasīt un lejupielādēt līdz 6 ierīcēm (vienam lietotājam ar vienu un to pašu Adobe ID).

    Nepieciešamā programmatūra
    Lai lasītu šo e-grāmatu mobilajā ierīcē (tālrunī vai planšetdatorā), jums būs jāinstalē šī bezmaksas lietotne: PocketBook Reader (iOS / Android)

    Lai lejupielādētu un lasītu šo e-grāmatu datorā vai Mac datorā, jums ir nepieciešamid Adobe Digital Editions (šī ir bezmaksas lietotne, kas īpaši izstrādāta e-grāmatām. Tā nav tas pats, kas Adobe Reader, kas, iespējams, jau ir jūsu datorā.)

    Jūs nevarat lasīt šo e-grāmatu, izmantojot Amazon Kindle.

Remote Sensing of Aerosols, Clouds, and Precipitation compiles recent advances in aerosol, cloud, and precipitation remote sensing from new satellite observations. The book examines a wide range of measurements from microwave (both active and passive), visible, and infrared portions of the spectrum. Contributors are experts conducting state-of-the-art research in atmospheric remote sensing using space, airborne, and ground-based datasets, focusing on supporting earth observation satellite missions for aerosol, cloud, and precipitation studies. A handy reference for scientists working in remote sensing, earth science, electromagnetics, climate physics, and space engineering. Valuable for operational forecasters, meteorologists, geospatial experts, modelers, and policymakers alike.

  • Presents new approaches in the field, along with further research opportunities, based on the latest satellite data
  • Focuses on how remote sensing systems can be designed/developed to solve outstanding problems in earth and atmospheric sciences
  • Edited by a dynamic team of editors with a mixture of highly skilled and qualified authors offering world-leading expertise in the field

Papildus informācija

A thorough compilation of recent advances in remote sensing of aerosols, clouds, and precipitation based on the latest satellite observations
Contributors xi
Author Biographies xiii
Preface xv
1 Passive Remote Sensing of Aerosol Height
Xiaoguang Xu
Jun Wang
Yi Wang
Alexander Kokhanovsky
1 Introduction
2(3)
2 Aerosol Vertical Distribution
5(2)
3 Passive Remote Sensing Techniques for Retrieval of Aerosol Layer Height
7(10)
4 Conclusions and Outlook
17(6)
Acknowledgments
18(1)
References
18(4)
Further Reading
22(1)
2 Vertical Profiling of Aerosol Optical Properties From LIDAR Remote Sensing, Surface Visibility, and Columnar Extinction Measurements
Kwon H. Lee
Man S. Wong
1 Introduction
23(2)
2 Characterization of Vertical Variables With Active Remote-Sensing Techniques
25(7)
3 Aerosol Vertical Profile Derived From Passive Remote Sensing
32(7)
4 Applications to the Radiative Impacts of Aerosols
39(2)
5 Conclusion
41(4)
Acknowledgments
41(1)
References
42(3)
3 Remote Sensing of Aerosols From Space: Retrieval of Properties and Applications
Alaa Mhawish
Manish Kumar
Akhila K. Mishra
Prashant K. Srivastava
Tirthankar Banerjee
1 Introduction
45(3)
2 Aerosols: Heterogeneity and Climatic Implications
48(3)
3 Satellite Observations for Aerosol Monitoring: Developments
51(1)
4 Satellite Retrieval of Aerosol Properties
52(4)
5 Satellite Aerosol Database
56(16)
6 Aerosol Remote Sensing Over the Indo-Gangetic Plain, South Asia
72(4)
7 Conclusions and Future Prospects
76(9)
Acknowledgments
77(1)
References
77(6)
Further Reading
83(2)
4 Remote Sensing of Heavy Aerosol Pollution Episodes: Smoke and Dust
Sonoyo Mukai
1 Introduction
85(1)
2 Detection of Aerosol Episodes
86(10)
3 Aerosol Retrieval Framework
96(5)
4 Retrieval of Biomass Burning Episodes
101(2)
5 Miscellaneous-Polarization Remote Sensing
103(2)
6 Concluding Remarks
105(4)
References
106(3)
5 Aerosol and Cloud Bottom Altitude Covariations From Multisensor Spaceborne Measurements
Luca Lelli
Marco Vountas
1 Introduction
109(2)
2 Data and Methods
111(6)
3 Results
117(5)
4 Summary and Conclusions
122(7)
Acknowledgments
123(1)
References
123(6)
6 Cloud-Aerosol-Precipitation Interactions Based of Satellite Retrieved Vertical Profiles of Cloud Microstructure
Daniel Rosenfeld
1 Introduction
129(2)
2 Physical Considerations in Retrieving Vertical Microphysical Profiles
131(1)
3 The Microstructure of Vertical Profiles of Adiabatic Convective Clouds
131(5)
4 The Observed Microstructure of Convective Clouds Vertical Profiles
136(1)
5 Impacts of CCN and Updrafts on Vertical Microphysical Profiles of Convective Clouds
137(3)
6 Application of re(T) to Observe Anthropogenic Aerosols Suppressing Precipitation
140(3)
7 Application of re(T) to Observe Large Hygroscopic Aerosols Restoring Precipitation
143(1)
8 Impacts of Aerosols on Clouds' Glaciation Temperature and Mixed Phase Precipitation
143(4)
9 Vertical Microphysical Profiles of Severe Convective Storms
147(1)
10 Applications of Vertical Profiles of re(T) to Retrieve Ndb and CCN(S)
148(1)
11 Conclusions
149(4)
References
150(2)
Further Reading
152(1)
7 Polarimetric Technique for Satellite Remote Sensing of Superthin Clouds
Wenbo Sun
Rosemary R. Baize
Gorden Videen
Yongxiang Hu
1 Introduction
153(3)
2 Polarization Signature of Light Backscattered by Clouds
156(6)
3 Method for Retrieving Superthin Cloud Optical Depth
162(8)
4 Summary and Conclusion
170(5)
Acknowledgments
171(1)
References
171(4)
8 Cloud Screening and Property Retrieval for Hyper-Spectral Thermal Infrared Sounders
Yu Someya
Ryoichi Imasu
1 Introduction
175(1)
2 Sensor Characteristics
176(1)
3 Typical Cloud Detection Techniques
177(2)
4 Cloud Detection Strategy for the Sounders
179(6)
5 Conclusion
185(4)
References
185(2)
Further Reading
187(2)
9 Surface Remote Sensing of Liquid Water Cloud Properties
Christine Knist
Herman Russchenberg
1 Introduction
189(1)
2 Principle Method and Basic Assumptions
190(3)
3 Case Study: Using Radiation Measurements for Validation
193(14)
4 Conclusions
207(4)
References
207(2)
Further Reading
209(2)
10 Measuring Precipitation From Space
Francisco J. Tapiador
1 Introduction
211(1)
2 Infrared and Visible Frequencies Methods
212(1)
3 Microwave-Based Methods
212(3)
4 Methods Based on IR + MW Fusion
215(1)
5 The Tropical Rainfall Measurement Mission (TRMM)
216(1)
6 The Global Precipitation Measuring (GPM) Mission
217(1)
7 The Future of Satellite Estimates of Precipitation
217(6)
Acknowledgments
219(1)
References
219(2)
Further Reading
221(2)
11 Measurement of Precipitation from Satellite Radiometers (Visible, Infrared, and Microwave): Physical Basis, Methods, and Limitations
Atul K. Varma
1 Background
223(1)
2 Satellite Rainfall Estimation Methods
224(19)
3 Conclusion
243(6)
References
245(4)
12 Development of a Rain/No-Rain Classification Method Over Land for the Microwave Sounder Algorithm
Satoshi Kida
Takuji Kubota
Shoichi Shige
Tomoaki Mega
1 Introduction
249(2)
2 Data
251(2)
3 Comparison of Rain/No-Rain Classification (RNC) Over Land Using the 89-GHz Channel With PR and MSPPS Rain Estimates
253(2)
4 Proposed RNC Method
255(8)
5 Conclusion
263(4)
Acknowledgments
263(1)
References
264(3)
13 Remote Sensing of Precipitation from Airborne and Spaceborne Radar
Stephen J. Munchak
1 Introduction
267(2)
2 Radar Precipitation Measurement Fundamentals
269(3)
3 The Particle Size Distribution
272(5)
4 Single-Frequency Methods
277(3)
5 Multifrequency Methods
280(3)
6 Effects of Nonuniform Beam Filling
283(4)
7 Multiple Scattering
287(4)
8 Radar-Radiometer Methods
291(2)
9 Summary
293(8)
Acknowledgments
294(1)
References
294(5)
Further Reading
299(2)
14 Status of High-Resolution Multisatellite Precipitation Products Across India
Satya Prakash
Ashis K. Mitra
Rakesh M. Gairola
Hamid Norouzi
Damodara S. Pai
1 Introduction
301(3)
2 A Review of Recent Evaluations of High-Resolution MSPPs Across India
304(1)
3 Evaluation of Five High-Resolution MSPPs for the Indian Monsoon 2014
305(2)
4 Operational Merged Satellite-Gauge Rainfall Product in India
307(3)
5 Summary and Conclusion
310(5)
Acknowledgments
312(1)
References
312(3)
15 Real-Time Wind Velocity Retrieval in the Precipitation System Using High-Resolution Operational Multi-radar Network
Haonan Chen
Venkatachalam Chandrasekar
1 Introduction
315(3)
2 Multiple-Doppler Methodology for Wind Retrieval
318(3)
3 Real-Time Multiple-Doppler Retrieval System for CASA Radar Networks
321(9)
4 Observations, Results, and Validation
330(7)
5 Summary
337(4)
Acknowledgments
338(1)
References
338(3)
Index 341
Dr. Tanvir Islam is presently with the NASA Jet Propulsion Laboratory, and specializes in remote sensing observations. Currently, he is engaged with the development of advanced microwave calibration and retrieval algorithms for NASAs Earth observing missions.

Prior to joining NASA/JPL in 2015, he was with the NOAA/NESDIS/STAR, and worked on the development of satellite remote sensing algorithms, with an emphasis on microwave variational inversion techniques (2013-2015). He also held visiting scientist positions at the University of Tokyo, as part of the NASA/JAXA precipitation measurement missions (PMM) algorithm development team, in 2012, and at the University of Calgary, in 2015. He received the Ph.D. degree in remote sensing from the University of Bristol, Bristol, UK, in 2012.

Dr. Islam was the recipient of the Faculty of Engineering Commendation from the University of Bristol (nominated for a University Prize for his outstanding Ph.D. thesis), in 2012, the JAXA visiting fellowship award, in 2012, the CIRA postdoctoral fellowship award, in 2013, the Calgary visiting fellowship award, in 2015, and the Caltech postdoctoral scholar award, in 2015. He has served as a lead guest editor for a special issue on Microwave Remote Sensing” for the Physics and Chemistry of the Earth (Elsevier), and currently serving on the editorial board of Atmospheric Measurement Techniques (EGU) and Scientific Reports (Nature). He has published four books and more than 60 peer-reviewed papers in leading international journals. His primary research interests include microwave remote sensing, radiometer calibration, retrieval algorithms, radiative transfer theory, data assimilation, mesoscale modeling, cloud and precipitation system, and artificial intelligence in geosciences. Dr. Hu got his PhD degree from University of Alaska, Fairbanks. Since 1995, Dr. Hu has been a research scientist / senior research scientist at NASA Langley Research Center. Dr. Hu began his career working on radiative transfer and climate modeling in his PhD study. He worked on the ERBE and CERES projects, and then joined the CALIPSO team studying lidar remote sensing. Dr. Hu is currently working on developing innovative remote sensing concepts, such as photon orbital angular momentum measurements and studying sub-diffraction limit telescopes. Dr. Hus primary scientific accomplishment includes: theoretical radiative transfer studies for active and passive remote sensing; discovery of the relation between lidar depolarization and multiple scattering for water cloud droplets; development of highly accurate global cloud phase product using CALIPSO observations; high spatial resolution global ocean surface wind speed retrieval technique and data product using CALIPSO lidar measurements; innovative lidar remote sensing techniques, such as using space-based lidar for studying ocean primary productivity and carbon cycle, as well as deriving value added vegetation canopy, snow and sea ice product from CALIPSO; and theoretical and engineering studies of differential absorption radar concept for measurements of ocean/land surface atmospheric pressure; Dr. Hu author/co-authored more than 150 peer-reviewed scientific journal articles with SCI index is 47 on google scholar (https://scholar.google.com/citations?user=YySlI2oAAAAJ&hl=en) and 39 on ResearcherID (http://www.researcherid.com/rid/K-4426-2012). Dr. Alexander A. Kokhanovsky received the M.S. degree in theoretical physics from the Belarussian State University, Minsk, Belarus, in 1983 and the Ph.D. degree in optical physics from the B. I. Stepanov Institute of Physics, National Academy of Sciences of Belarus, Minsk, in 1991. His Ph.D. work was focused on modeling light scattering properties of aerosol media, clouds, and foams.

He is the Editor of Springer Series in Light Scattering and Wiley Series in Atmospheric Physics and Remote Sensing. He is the author of the books Light Scattering Media Optics: Problems and Solutions (Springer-Praxis, 1999, 2001, 2004), Polarization Optics of Random Media (Springer-Praxis, 2003), Cloud Optics (Springer, 2006), and Aerosol Optics (Springer-Praxis, 2008). He has published more than 200 papers in the field of environmental optics, radiative transfer, remote sensing, and light scattering. His research is directed toward the solution of various forward and inverse problems of atmospheric optics. Dr. Kokhanovsky is a member of the European Geophysical Union. Dr. Jun Wang is a Research Scientist at the University of Wisconsin, Madison. He has over 10 years of experience in code development, validation, and application, and his research areas include nuclear thermal hydraulics and safety, severe accident, fuel performance, and advanced reactors. Wang has over 50 peer-review articles published on top nuclear journals and conferences. He also has over 200 peer-review experience in 20 journals and conferences, such as the International Journal of Heat and Mass Transfer, Applied Thermal Engineering, Annals of Nuclear Energy, Nuclear Technology, Nuclear Engineering and Design, and Progress in Nuclear Energy.