Radar Hydrology: Principles, Models, and Applications | Agenda Bookshop Skip to content
Black Friday Sale Now On! | Buy 3 Get 1 Free on all books | Instore & Online.
Black Friday Sale Now On! | Buy 3 Get 1 Free on all books | Instore & Online.
A01=Jonathan J. Gourley
A01=Yang Hong
Age Group_Uncategorized
Age Group_Uncategorized
Author_Jonathan J. Gourley
Author_Yang Hong
automatic-update
Category1=Non-Fiction
Category=RBP
Category=RGB
Category=RGC
Category=RGW
Category=THR
Category=TJFN
Category=TQ
COP=United States
Delivery_Pre-order
Language_English
PA=Temporarily unavailable
Price_€100 and above
PS=Active
softlaunch

Radar Hydrology: Principles, Models, and Applications

English

By (author): Jonathan J. Gourley Yang Hong

Radar Hydrology: Principles, Models, and Applications provides graduate students, operational forecasters, and researchers with a theoretical framework and practical knowledge of radar precipitation estimation. The only text on the market solely devoted to radar hydrology, this comprehensive reference:

  • Begins with a brief introduction to radar
  • Focuses on the processing of radar data to arrive at accurate estimates of rainfall
  • Addresses advanced radar sensing principles and applications
  • Covers radar technologies for observing each component of the hydrologic cycle
  • Examines state-of-the-art hydrologic models and their inputs, parameters, state variables, calibration procedures, and outputs
  • Discusses contemporary approaches in data assimilation
  • Concludes with methods, case studies, and prediction system design
  • Includes downloadable MATLAB® content

Flooding is the #1 weather-related natural disaster worldwide. Radar Hydrology: Principles, Models, and Applications aids in understanding the physical systems and detection tools, as well as designing prediction systems.

See more
Current price €231.79
Original price €243.99
Save 5%
A01=Jonathan J. GourleyA01=Yang HongAge Group_UncategorizedAuthor_Jonathan J. GourleyAuthor_Yang Hongautomatic-updateCategory1=Non-FictionCategory=RBPCategory=RGBCategory=RGCCategory=RGWCategory=THRCategory=TJFNCategory=TQCOP=United StatesDelivery_Pre-orderLanguage_EnglishPA=Temporarily unavailablePrice_€100 and abovePS=Activesoftlaunch

Will deliver when available.

Product Details
  • Weight: 520g
  • Dimensions: 156 x 234mm
  • Publication Date: 19 Dec 2014
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: United States
  • Language: English
  • ISBN13: 9781466514614

About Jonathan J. GourleyYang Hong

Yang Hong is a professor of hydrometeorology and remote sensing in the School of Civil Engineering and Environmental Sciences adjunct faculty member with the School of Meteorology co-director of the WaTER Center faculty member with the Advanced Radar Research Center and affiliated member of the Center for Analysis and Prediction of Storms at the University of Oklahoma. Dr. Hong also directs the HyDROS Lab at the National Weather Center. Previously he was a research scientist at NASA's Goddard Space Flight Center and postdoctoral researcher at University of California Irvine. He holds a BS and MS from Peking (Beijing) University China and Ph.D from the University of Arizona.Jonathan J. Gourley is a research hydrologist with the NOAA/National Severe Storms Laboratory and affiliate associate professor with the School of Meteorology at the University of Oklahoma. His research interests include hydrologic prediction across scales ranging from water resources management to early warning of extreme events. Dr. Gourley was the principal inventor of a multisensor rainfall algorithm that was expanded to encompass all radars in North America and deployed to several foreign countries for operational use. He also assembled a comprehensive database that is being used to develop FLASHa real-time flash flood forecasting system. He holds a BS MS and Ph.D from the University of Oklahoma.

Customer Reviews

Be the first to write a review
0%
(0)
0%
(0)
0%
(0)
0%
(0)
0%
(0)
We use cookies to ensure that we give you the best experience on our website. If you continue we'll assume that you are understand this. Learn more
Accept