Coastal Hazard Events Driven Automated Data Aggregation, Processing, and Delivery (2013 NGCHC Annual Science Meeting)

Event-driven data delivery (ED3), aggregation, and processing is being used to automate the access and processing of data for situational awareness in a hazardous event that could potentially become a disaster.  The University of Alabama in Huntsville (UAH), is refining the utility of the ED3 functionality for response to coastal hazards.  ED3 is in the process of being integrated with decision support systems, used by NASA SERVIR and state agencies in Alabama, to help define the capabilities that will best suit the end users for a variety of disaster events.

NG-CHC Northern Gulf Coastal Hazards Collaboratory Simulation Experiment Integration (2013 NGCHC Annual Science Meeting)

Sharing data and information across platforms and disciplines is essential to the research process and key to scientific discovery and understanding. Within the coastal community there is a need to share data and information for accelerating the research process. The Northern Gulf Coastal Hazards Collaboratory (NG-CHC), funded by the National Science Foundation (NSF) Experimental Program to Stimulate Competitive Research (EPSCoR), is filling that need by building cyberinfrastructure to catalyze collaborative research and education and to reduce risk to coastal vulnerabilities.

ITSC represented at Second Plenary meeting of the Research Data Alliance (RDA)

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National Academy of Sciences Building auditorium in Washington, D.C.

Drs. Sara Graves and Rahul Ramachandran represented ITSC at the second plenary meeting of the Research Data Alliance (RDA), held September 16-18 at the National Academy of Sciences in Washington, DC. RDA provides the framework to accelerate international data-driven innovation and discovery by facilitating research data sharing and exchange, use and re-use, standards harmonization, and discoverability, through the development and adoption of infrastructure, policy and practice. Dr.

GHRC represented at Second Plenary meeting of the Research Data Alliance (RDA)

RDA logo
National Academy of Sciences Building auditorium in Washington, D.C.

Drs. Sara Graves and Rahul Ramachandran represented GHRC at the second plenary meeting of the Research Data Alliance (RDA), held September 16-18 at the National Academy of Sciences in Washington, DC. RDA provides the framework to accelerate international data-driven innovation and discovery by facilitating research data sharing and exchange, use and re-use, standards harmonization, and discoverability, through the development and adoption of infrastructure, policy and practice. Dr.

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GHRC publishes RSS Monthly 1-deg Microwave Total Precipitable Water netCDF guide

RSS Total Precipitable Water for August 2013

The RSS Monthly 1-deg Microwave Total Precipitable Water netCDF guide describes the MEaSUREs product “Remote Sensing Systems Total Precipitable Water (TPW)”. This dataset is generated at Remote Sensing Systems, merging data from multiple satellite radiometers processed using RSS’s latest radiative transfer model, version-7.

GHRC Publishes GPM Ground Validation Autonomous Parsivel Unit (APU) GCPEx guide

GCPEX

GPM Ground Validation Autonomous Parsivel Unit (APU) GCPEx guide provides data format information for the Autonomous Parsivel Unit (APU), an optical disdrometer based on single particle extinction that measures particle size and fall velocity. This APU consists of the Parsivel, which was developed by OTT in Germany, and its support systems, which were designed and built by the University of Alabama in Huntsville.

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GHRC publishes GCPEx NASA Micro Rain Radar (MRR) guide

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The GPM Ground Validation NASA Micro Rain Radar (MRR) guide describes the data format and the vertically pointing Doppler radar which provides measurements of vertical velocity, drop size distribution, rainfall rate, attenuation, liquid water content, and reflectivity factor obtained during the GPM Cold-season Precipitation Experiment (GCPEx), which took place in Canada during Winter 2011-2012.

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GHRC strives for enhanced visibility in search engines

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GHRC continues to update its dataset guides to include more meta-tags and schema.org microdata to enhance the visibility in the search engines. This ongoing activity will continue until all existing guides are updated. The meta-tags and microdata are being included in any new guides as they are written.

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