A5108052851- Climate variability and models
- Meteorological Phenomena and Simulations
- Atmospheric and Environmental Gas Dynamics
- Tropical and Extratropical Cyclones Research
- Hydrological Forecasting Using AI
- Plant responses to elevated CO2
- Cryospheric studies and observations
- Climate Change and Health Impacts
- Crustacean biology and ecology
- Traffic Prediction and Management Techniques
- Stock Market Forecasting Methods
- Environmental DNA in Biodiversity Studies
- Impact of Technology on Adolescents
- Korean Urban and Social Studies
- Child Development and Digital Technology
- Hydrology and Drought Analysis
- Marine and coastal ecosystems
- Climate change impacts on agriculture
- Oceanographic and Atmospheric Processes
- COVID-19 and Mental Health
- Genetic diversity and population structure
University of California, Berkeley
2021-2023
Planetary Science Institute
2021-2023
Pacific Northwest National Laboratory
2021-2022
Helsinki Institute of Physics
2017
University of Helsinki
2017
Abstract Atmospheric rivers, or long but narrow regions of enhanced water vapor transport, are an important component the hydrologic cycle as they responsible for much poleward transport and result in precipitation, sometimes extreme intensity. Despite their importance, uncertainty remains detection atmospheric rivers large datasets such reanalyses century scale climate simulations. To understand this uncertainty, River Tracking Method Intercomparison Project (ARTMIP) developed tiered...
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...
ABSTRACT The number and intensity of individual hot days affecting Finland in the current future climate is investigated together with circulation patterns associated days. In addition, number, length heat waves lasting at least 3 also considered. ERA‐Interim reanalysis data both direct model output bias‐corrected for historical [representative concentration pathway 4.5 (RCP4.5) scenario] simulations from 17 global models are analysed. Three intensities defined based on daily mean...
Background As adolescents increasingly engage with digital experiences, the internet serves as a platform for social interaction, entertainment, and learning. The COVID-19 pandemic accelerated this trend, remote learning restricted physical interactions driving changes in behavior. Adolescents spent more time on gaming media, reflecting notable shift use patterns. Objective We hypothesized that changed patterns among Korean adolescents, including content types, web-based activities,...
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 The range of synoptic patterns that North Pacific landfalling atmospheric rivers form under are objectively identified using genesis day 500 hPa geopotential height anomalies in a self‐organizing map (SOM). SOM arranges the to differentiate between two groups climate modes—the first group with ENSO (El Niño Southern Oscillation), PDO (Pacific Decadal PNA American) and NP (North index) second AO (Arctic EPO (East WPO (West Oscillation). These have their positive negative modes...
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)...
Abstract. The Energy Exascale Earth System Model (E3SM) project is an ongoing, state-of-the-science system modeling, simulation, and prediction developed by the US Department of (DOE). With emphasis on supporting DOE's energy mission, understanding quantifying how well model simulates water cycle processes particular importance. Here, we evaluate E3SM version 1.0 (v1.0) for its ability to represent atmospheric rivers (ARs), which play significant roles in vapor transport precipitation....
Abstract The relationship between Atlantic meridional overturning circulation (AMOC) variability and high‐latitude North buoyancy changes is complicated by the latter both driving, responding to, AMOC changes. A maximum covariance analysis applied to a 1,201‐year preindustrial control simulation reveals two leading modes that separate these distinct roles of temperature salinity as related variability. linear combination accounts for most variation widely used index. same another known...
<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...
Abstract. The Energy Exascale Earth System Model (E3SM) Project is an ongoing, state-of-the-science system modeling, simulation, and prediction project developed by the U.S. Department of (DOE). With emphasis on supporting DOE's energy mission, understanding quantifying how well model simulates water cycle processes particular importance. Here, we evaluate E3SM version v1.0 for its ability to represent atmospheric rivers (ARs), which play significant roles in vapor transport precipitation....