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Water & Energy Cycles

Advancing the development of hydrologically relevant satellite rainfall algorithms over land requires the use of assessment metrics that are mutually interpretable by hydrologists (users) and algorithm developers (data producers). NASA’s planned Global Precipitation Measurement (GPM) mission will represent a unique constellation of rain measuring satellites augmented by a Tropical Rainfall Measuring Mission (TRMM)-like precipitation radar (PR). The global nature of coherent and more accurate satellite precipitation products anticipated from GPM will offer hydrologists tremendous opportunities to improve flood monitoring in medium-to-large river basins where rainfall is abundant but ground measurement networks are usually inadequate. This project therefore aims to advance the hydrologic potential of NASA’s TRMM Multi-satellite Precipitation Analysis (TMPA), which is expected to be the forerunner to NASA’s GPM based rain estimation system. The main research objectives of the project are: 1.To devise a framework for hydrologically relevant assessment metrics for the data producer that can advance the hydrologic potential of NASA’s TMPA rain estimation system for flood monitoring and be amenable to operational institutionalization in the GPM era. 2.To demonstrate the hydrologic relevance of the framework of assessment metrics for the TMPA system for flood monitoring over a medium-sized river basin. The main education objectives of the project are: 3.To promote NASA’s current and proposed hydrologic missions in order to inspire potential engineers/scientists from the rural community of Upper Cumberland to tackle global water hazards. 4.To implement deeper learning of stochastic theory concepts for modeling natural variability of satellite based rain (and other hydrologic parameters) estimation within a sustainable and continually evolving undergraduate curriculum for the 21st century. The research plan of the project will provide tangible answers to the following three critical and open questions that need closure before the launch of GPM: 1. What is an effective set of metrics to increase dialogue between user hydrologists and data producers? 2. If “error” is defined on the basis of independent ground validation (GV) data, how are these metrics estimated for a satellite rainfall data product without the need for much extensive GV data? 3. How should these metrics be packaged in quasi real-time standard satellite data products for convenient use in hydrologic modeling and decision making for flood monitoring? The education plan of the project recognizes that future Earth scientists committed to NASA’s mission to Earth are germinated in the K-12 classroom. The education plan will also improve the current state of instruction of stochastic theory for water resources engineering to meet the growing demands of a space-age 21st century graduate research program that will need to rely extensively on NASA’s new hydrologic missions for global data needs. The project will deliver the following four products as final deliverables to NASA: 1. An ideal set of assessment metrics that can increase dialogue between data producers and hydrologist users of TMPA and GPM data. 2. A statistical scheme by which NASA TMPA rain estimation system can provide users, estimates of the assessment metrics over ungauged locations lacking GV sites. 3. A coherent basis for development and validation of next-generation satellite rainfall algorithms for TMPA developers of NASA, and foster closer partnership with the PEHRPP (Program to Evaluate High Resolution Products) initiative and Bangladesh Flood Forecasting Agency. 4.An improved state of learning in the undergraduate classroom of stochastic theory for hydrometeorology, alongwith increased awareness of the importance of NASA’s proposed Earth Science hydrologic missions among under-represented K-12 students of Middle Tennessee.

Project PI: Faisal Hossain/Tennessee Technological University

Prescott Hall, Room 332 Tennessee Tech University 1 William L Jones Dr Cookeville, TN‎ 38505

Phone: (931) 372-3257

Email: fhossain@tntech

http://www.tntech.edu/cee/hossain/

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Started: Aug 09, 2010

Last Activity: Dec 09, 2010

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