Argonne and the University of Illinois at Urbana-Champaign are cohosting a workshop at Argonne on April 29 and 30, 2014, dedicated to the intersection of high-performance computing (HPC) and geospatial analytics. The workshop will bring together leading researchers and federal problem holders in the area of data-intensive geospatial analytics and HPC to discuss the state of the art, emerging trends in the area, and future research directions. Topics to be covered will include trends in hardware and software, geospatial HPC methodologies and principles, geospatial big data-human interactions, and innovative geospatial big data-HPC applications.
The terrestrial northern high-latitude regions above permafrost are considered most vulnerable to climate change, and the dynamics of high-latitude carbon fluxes are likely to have grave impacts on the future global climate. One challenge for more detailed Earth system models is treatment of biophysical and biogeochemical processes and feedbacks, as well as their effects on soil organic carbon (SOC) in the northern high latitudes. This talk will highlight these feedbacks and their impacts on SOC for the northern permafrost region, as estimated by a land surface model — the Integrated Science Assessment Model (ISAM).
This seminar will introduce many key problems and questions related to the energy-water nexus, discuss some recently completed and ongoing research efforts at Argonne, and provide an update on ongoing efforts within DOE to develop a more comprehensive research program in this area.
Solar photovoltaic (PV) installations traditionally are stand-alone systems without integrated computation. However, it is possible to use real-time processes to adaptively reconfigure solar PV installations while sensing and computing environmental factors. This talk will introduce new concepts that enable solar installations to adapt their performance to environmental conditions.
The aim of this presentation is to identify advantages and disadvantages of a high resolution radar network as well as single radars operating in the X-Band frequency range. The presentation will include a description of algorithms used to derive precipitation from reflectivity measurements, a comparison of a radar network to measurements of a weather radar operating in C-Band, and an explanation of the components and design of a radar network.
This presentation will explore the characteristics of mesoscale convective systems (MCSs) during an active and inactive Madden-Julian Oscillation (MJO) in late November and December 2011. A tail-mounted Doppler radar was used during DYNAMO (Dynamics of the MJO) for detailed sampling of the MCS three-dimensional reflectivity and kinematic structure.