Flood Forecasting: A Global Perspective, Second Edition covers hydrologic forecasting systems on both a national and regional scale. This updated edition includes a breakdown by county contribution and solutions to common issues with a wide range of approaches to address the difficulties inherent in the development, implementation and operational success of national-scale flood forecasting systems. Special attention is given to recent advances in machine learning techniques for flood forecasting. Overall, the information will lead to improvements of existing systems and provide a valuable reference on the intricacies of forecast systems in different parts of the world. Covers global and regional systems, thus allowing readers to understand the different forecasting systems and how they developed - Offers practical applications for groups trying to improve existing flood forecasting systems - Includes innovative solutions for those interested in developing new systems - Contains analytical and updated information on forecasting and monitoring systems A comprehensive book on flood forecasting by renowned experts in operational forecasting and remote sensing Flood Forecasting: A Global Perspective, Second Edition covers essential information regarding hydrologic forecasting systems on both a national and regional scale. The first edition of Flood Forecasting presented various forecasting systems based on the best current practices; this updated edition now includes a breakdown by county contribution. The authors offer creative solutions to common issues, with a wide range of approaches to successfully address the difficulties inherent in the development, implementation, and operational success of national-scale flood forecasting systems. Special attention is given to recent advances in machine learning techniques for flood forecasting. Overall, the second edition of Flood Forecasting highlights information that will lead to improvements of existing systems as well as providing a valuable reference to those who wish to understand the intricacies of forecast systems in different parts of the world. Dr Thomas Adamas has 35+ years of experience in hydrology, including twenty years of real-time operational hydrologic forecasting experience at the NOAA/National Weather Service (NWS), Ohio River Forecast Center (OHRFC), including model parameter estimation, hydrologic and hydraulic modeling, and model calibration.  Previously Dr. Adams was a Research Hydrologist at the NOAA/NWS Office of Hydrology/Hydrology Laboratory and a Visiting Scientist with the University Corporation for Atmospheric Research (UCAR) at the NOAA/NWS National Water Center. His experience includes the development and implementation of the Ohio River Community HEC-RAS Model, operational probabilistic/ensemble hydrologic forecasting, precipitation estimation and analysis, land surface/atmosphere interaction, and impact of global climate change on water resources.  He is involved in on-going international hydrometeorological consulting and is a member of the American Geophysical Union, American Meteorological Society, American Society of Civil Engineers, and the Soil Science Society of America. Dr Chandana Gangodagamage has 13 years of experience in hydrology, including Experiments in spatial data modeling, simulation, and extraction of multi-scaling structure in river basin data using high resolution; research using NASA SWOT mission, developed a methodology to extract: (1) a global scale high resolution DEM for hydrodynamic modeling, and; (2) vegetation height structure to understand carbon sequestration from Shuttle Radar Topography Mission; worked with Terrestrial Hydrology, Earth Surface Processes, and Arctic Hydrology research teams to develop LANL predictive capabilities in hydrology and water resources using space- based technologies. Currently with NASA Goddard he leads the development of LISHydro framework for the NASA GSFC. He implemented a surface water routing scheme in the NASA Land Information System (LIS). Specific responsibilities will include 1) the design and implementation of surface routing schemes in LIS, 2) the coupling of LIS with the National Water Model (WRF-Hydro) and other routing schemes, 3) the support of data preprocessing required by the channel routing algorithms, 4) conduct research on the impact of land surface modeling and data assimilation on surface water formulations, (5) coupling the LISHydro with different land surface models including NoanMP.3.6, NoahMP.4.0.1, VIC etc., (5) Develop support for different meteorological forcing schemes including MERR2 Previously Dr. Gangodagamage was a Postdoctoral Researcher at Byrd Polar Research Center, Ohio State University and at Los Alamos National Laboratory, Los Alamos, USA. He was also an Assistant Surface Water Hydrologist, Argonne National Laboratory Environmental Science Division (EVS), Argonne National Laboratory, Argonne, IL; a Visiting Scientist: Th