The focus of this proposal funded by the UCSD Environment and Sustainability Initiative(ESI – now being integrated into UCSD Sustainability Solutions Institute) is to explore needs and opportunities, and develop prototypes of information management infrastructure that could be used as a foundation for consistent analysis and modeling of water resources in Pacific Rim cities. The ESI Global Water Initiative is a collaboration with the Association of Pacific Rim Universities World Institute .
In this project, we plan to work with APRU-WI collaborators from Malaysia (Professor Dato’ Dr. Azizan Bin Hj Abu Samah, University of Malaya) and Singapore (Professor Michael Saunders, NUS Environmental Research Institute, National University of Singapore), eventually extending the technologies to other members through capacity building workshops and technical exchanges.
As the basis for hydrologic data management system supporting modeling of Pac Rim cities, we will leverage the data infrastructure software and services developed within the CUAHSI Hydrologic Information System project over the last several years. In particular, we would like to understand the research requirements and modeling use cases, explore data availability, and securely publish the available data using an HIS Server, which has been already successfully deployed in many places in the US and abroad.
To accomplish this, we are planning to conduct workshops at the National University of Singapore and University of Malaya, focused on current data management and analysis practices, and on cyberinfrastructure for consistent hydrologic data management and modeling. As part of this work, we would publish subsets of local hydrologic data via CUAHSI water data services (with added authentication tokens, as required by data access constraints) and make them accessible via DASH, Hydroseek, and other client applications developed within the HIS project. As a result, we will be able to better understand how local data fit with the CUAHSI HIS standards for hydrologic data storage and exchange, and with respective vocabulary constraints and semantic conventions. On this basis, we can explore what extensions to our data management protocols are required and what additional parameters and indicators characterizing water resource data in different cultures and environments are important to preserve.