Indus River Basin: Water Security and Sustainability - Paperback

Adams, Thomas E.: - 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.Khan, Sadiq I.: - Sadiq Khan is an associate scientist at University Corporation for Atmospheric Research (UCAR) based at the U.S. National Oceanic and Atmospheric Agency, National Water Center (NWC). Prior to joining the NWC, he was a research scientist in the School of Civil Engineering and Environmental Science at the University of Oklahoma (OU). Dr. Khan received his Ph.D in 2011 from OU, where he was the recipient of NASA Earth and Space Science Fellowship. He was selected for an outstanding student paper award for the research work he presented at American Geophysical Union Fall 2009 Meeting in San Francisco, CA. Dr. Khan's main research interests include; 1) multi-source data fusion in hydrology, particularly optical and microwave remote sensing for water resource monitoring; 2) numerical and geospatial modelling to estimate hydrologic variables and therefore better predict water extremes.