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Supercomputing Extreme Weather Events and Climate Change

A recent study conducted by the Barcelona Supercomputer Center suggests that calibrated model ensembles improve the trustworthiness of climate event attribution to extreme weather events. The study also found that current climate model limitations tend to overestimate climate change attribution.

How HPC is Helping Solve Climate and Weather Forecasting Challenges

Data accumulation is just one of the challenges facing today weather and climatology researchers and scientists. To understand and predict Earth’s weather and climate, they rely on increasingly complex computer models and simulations based on a constantly growing body of data from around the globe. “It turns out that in today’s HPC technology, the moving of data in and out of the processing units is more demanding in time than the computations performed. To be effective, systems working with weather forecasting and climate modeling require high memory bandwidth and fast interconnect across the system, as well as a robust parallel file system.”

HPC Helps Drive Climate Change Modeling

Because of the complexity involved, the length of the simulation period, and the amounts of data generated, weather prediction and climate modeling on a global basis requires some of the most powerful computers in the world. The models incorporate topography, winds, temperatures, radiation, gas emission, cloud forming, land and sea ice, vegetation, and more. However, although weather prediction and climate modeling make use of a common numerical methods, the items they compute differ.

Climate Researchers Collaborate with HPC

“The complexity and scale of weather and climate simulation have led weather centers and research groups to turn to their own community, either through direct collaboration or open source software initiatives, to increase performance and usability of these hugely complex models.”

Supercomputing Global Ocean Temperatures with ACME

Over at Live Science, Shannon Hall writes that new global map of the world’s oceans is so visually stunning that it could be mistaken for art. Computed on LANL supercomputers, the simulation is a component of the DOE’s Accelerated Climate Model for Energy (ACME), which is expected to be the most complete climate and Earth system model once it is finished.