A5107968314- Meteorological Phenomena and Simulations
- Climate variability and models
- Tropical and Extratropical Cyclones Research
- Graph Theory and Algorithms
- Interconnection Networks and Systems
- Network Packet Processing and Optimization
- Cryospheric studies and observations
- Advanced Database Systems and Queries
ETH Zurich
2021-2023
Abstract. Identifying, detecting, and localizing extreme weather events is a crucial first step in understanding how they may vary under different climate change scenarios. Pattern recognition tasks such as classification, object detection, segmentation (i.e., pixel-level classification) have remained challenging problems the sciences. While there exist many empirical heuristics for detecting events, disparities between output of these methods even single event are large often difficult to...
Simple graph algorithms such as PageRank have been the target of numerous hardware accelerators. Yet, there also exist much more complex mining for problems clustering or maximal clique listing. These are memory-bound and thus could be accelerated by techniques Processing-in-Memory (PIM). However, they come with non-straightforward parallelism complicated memory access patterns. In this work, we address problem a simple yet surprisingly powerful observation: operations on sets vertices,...
Abstract There is currently large uncertainty over the impacts of climate change on precipitation trends US west coast. Atmospheric rivers (ARs) are a significant source coast and in ARs can provide insight into future trends. already variety different methods used to identify ARs, but many contexts that often difficult apply datasets due their computational cost requirement integrated vapor transport as an input variable, which be expensive compute models at high temporal frequencies. Using...
Abstract. Identifying, detecting and localizing extreme weather events is a crucial first step in understanding how they may vary under different climate change scenarios. Pattern recognition tasks such as classification, object detection segmentation have remained challenging problems the sciences. While there exist many empirical heuristics for events, disparities between output of these methods even single event are large often difficult to reconcile. Given success Deep Learning (DL)...
<p>Atmospheric rivers (ARs) are elongated corridors of water vapor in the lower Troposphere that cause extreme precipitation over many coastal regions around globe. They play a vital role cycle western US, fueling most west coast and sometimes accounting for more than 50% total annual (Gershunov et al. 2017). Severe ARs associated with flooding damages while weak typically beneficial to our society as they bring much needed drought...