HyDis: Hydrologic Data and Information System Prof. Sudha Ram Dongwon Lee Yousab Hwang Vijay Khatri Department of Management Information Systems Sponsor: NASA

Motivation  Huge amounts of hydrology- related data are collected by diverse agencies: USGS, USDA, EPA, NOAA, various NASA EOSDIS and DAACs  Data collected can help understand land-surface processes

Challenges  Modern hydrologic and water resource research scientists need: Access to widely distributed data To perform transformations and manipulation of data to assemble in appropriate format To be familiarized with varied format and structure of each provider To perform pre-processing of data Information about atmospheric and terrestrial components of earth system at several spatial and temporal resolutions

Objectives  Make comprehensive hydrologic and water resources data products and services available to scientists  Tailor information to user’s needs

Functions of HyDis Understand query made by user Locate the most suitable data sets Retrieve data Reformat and present data

HyDis Components Resource Discovery Module (RDM) Perform goal oriented discoveries Distributed Digital Resources (DDR) Existing and anticipated databases and products Science Data Management Module (SDMM) Account for the spatial relationships between various data products Semantic Model Resource Discovery Agents Satellite Remote Sensing Data Airborne Remote Sensing Data Land Surface Data Hydrologic/ Meteorological Networks Data

System Architecture

Benefits  Provide data tailored to individual needs of scientists  Develop information management framework that is adaptive to remote sensing products  Intelligent information retrieval

Partners  Department of Management Information Systems  Department of Hydrology and Water Resources  NASA  NOAA-GCIP  NOAA-NWS  USGS  NSF