A5006631291- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Tropical and Extratropical Cyclones Research
- Climate variability and models
- Meteorological Phenomena and Simulations
- Ocean Waves and Remote Sensing
- Dark Matter and Cosmic Phenomena
- Particle Detector Development and Performance
- Flood Risk Assessment and Management
- Atmospheric and Environmental Gas Dynamics
- Hydrology and Drought Analysis
- Wind and Air Flow Studies
- Climate Change, Adaptation, Migration
- Hydrology and Watershed Management Studies
- Computational Physics and Python Applications
- Disaster Management and Resilience
- Particle Accelerators and Free-Electron Lasers
- Coastal and Marine Dynamics
- Cosmology and Gravitation Theories
- Cryospheric studies and observations
- Spatial and Panel Data Analysis
- Black Holes and Theoretical Physics
- Neutrino Physics Research
- demographic modeling and climate adaptation
NSF National Center for Atmospheric Research
2016-2025
U.S. National Science Foundation
2024
Microscale (United States)
2016-2022
Children's Hospital of Los Angeles
2022
University of California, Santa Barbara
2021
Research Center for Environmental Changes, Academia Sinica
2019
National Taiwan University
2019
Mesoscale & Microscale Meteorology Laboratory
2017
University of Reading
2002-2011
NOAA Earth System Research Laboratory
2011
Abstract The performance of daily convection forecasts from 13 May to 9 July 2003 using the Weather Research and Forecast (WRF) model is investigated. Although 10‐km grid spacing parameterized are not lacking in prediction convective rainfall, fully explicit with a 4‐km more often predict identifiable mesoscale systems (MCSs) that correspond observed time space. Furthermore, accurately number MCSs type organization (termed system mode ). treatment NWP does necessarily provide better point...
All global circulation models (GCMs) suffer from some form of bias, which when used as boundary conditions for regional climate may impact the simulations, perhaps severely. Here we present a bias correction method that corrects mean error in GCM, but retains six-hourly weather, longer-period climate-variability and change GCM. We utilize six different experiments; each correcting components. The full individual components are examined relation to tropical cyclones, precipitation...
Abstract Precipitation extremes are increasing globally due to anthropogenic climate change. However, there remains uncertainty regarding impacts upon flood occurrence and subsequent population exposure. Here, we quantify changes in exposure hazard across the contiguous United States. We combine simulations from a model large ensemble high‐resolution hydrodynamic model—allowing us directly assess wide range of extreme precipitation magnitudes accumulation timescales. report mean increase...
Precipitation extremes will increase in a warming climate, but the response of flood magnitudes to heavier precipitation events is less clear. Historically, there little evidence for systematic increases magnitude despite observed extremes. Here we investigate how change warming, using large initial-condition ensemble simulations with single climate model, coupled hydrological model. The model chain was applied historical (1961–2000) and warmer future (2060–2099) conditions 78 watersheds...
Abstract Tropical cyclones have enormous costs to society through both loss of life and damage infrastructure. There is good reason believe that such storms will change in the future as a result changes global climate system may important socioeconomic implications. Here high-resolution regional modeling experiment presented using Weather Research Forecasting (WRF) Model investigate possible tropical cyclones. These simulations were performed for period 2001–13 ERA-Interim product boundary...
Although the societal impact of a weather event increases with rarity event, our current ability to assess extreme events and their impacts is limited by not only but also model fidelity lack understanding capacity underlying physical processes. This challenge driving fresh approaches high-impact climate. Recent lessons learned in modeling climate are presented using case tropical cyclones as an illustrative example. Through examples Nested Regional Climate Model dynamically downscale...
Abstract Summer and winter daily heavy precipitation events (events above the 97.5th percentile) are analyzed in regional climate simulations with 36-, 12-, 4-km horizontal grid spacing over headwaters of Colorado River. Multiscale evaluations useful to understand differences across scales evaluate effects upscaling finescale processes coarser-scale features associated precipitating systems. Only model is able correctly simulate totals summertime events. For events, results from 4- 12-km...
Abstract The validity of convective parametrization breaks down at the resolution mesoscale models, and success parametrized versus explicit treatments convection is likely to depend on large‐scale environment. In this paper we examine hypothesis that a key feature determining sensitivity environment whether forcing sufficiently homogeneous slowly varying can be considered in equilibrium. Two case studies systems over UK, one where equilibrium conditions are expected unlikely, simulated...
Abstract We use a regional coupled chemistry‐transport model to assess changes in surface ozone over the summertime U.S. between present and 2050 future time period at high spatial resolution under A2 climate Representative Concentration Pathway (RCP) 8.5 anthropogenic precursor emission scenarios. Predicted globally enhanced are estimated increase most of U.S.; 95th percentile for daily 8 h maximum increases from 79 ppb 87 ppb. The analysis suggests that meteorological drivers likely will...
Abstract Climate change increases the frequency and intensity of extreme precipitation, which in combination with rising population enhances exposure to major floods. An improved understanding atmospheric processes that cause precipitation events would help advance predictions projections such events. To date, analyses have typically been performed rather unsystematically over limited areas (e.g., U.S.) has resulted contradictory findings. Here we present Multi‐Object Analysis Atmospheric...
Abstract Examining large‐scale projected changes in streamflow and flood extent (e.g., inundation) for Alaska is essential raising awareness of hazards under a changing climate supporting broad‐scale adaptation planning. Therefore, we examine peak timing magnitude using physically based hydrologic model. For model inputs, utilize simulations conducted at 4‐km horizontal grid spacing over from 2005 to 2016, providing historical future pseudo‐global warming scenario. Analysis hydrographs...
The U.S. Geological Survey, Multi Hazards Demonstration Project (MHDP) uses hazards science to improve resiliency of communities natural disasters including earthquakes, tsunamis, wildfires, landslides, floods and coastal erosion. project engages emergency planners, businesses, universities, government agencies, others in preparing for major disasters. also helps set research goals provides decision-making information loss reduction improved resiliency. first public product the MHDP was...
Abstract An understanding of the potential drivers local-scale hurricane losses is developed through a case study analysis. Two recent category-3 U.S. landfalling hurricanes (Ivan in 2004 and Dennis 2005) are analyzed that, although similar terms maximum wind speed at their proximate coastal landfall locations, caused vastly different loss amounts. In contrast to existing studies that assess mostly relatively aggregate level, detailed local factors related hazard, exposure, vulnerability...
Regional Climate Models (RCMs) are able to simulate small-scale processes that missing in their coarser resolution driving data and thereby provide valuable climate information for impact assessments. Less attention has been paid the ability of RCMs capture large-scale weather types (WTs). An inaccurate representation WTs can result biases uncertainties current future simulations cannot be easily detected by standard model evaluation metrics. Here we define 12 hydrologically important...
Abstract Successive atmospheric river (AR) events—known as AR families—can result in prolonged and elevated hydrological impacts relative to single ARs due the lack of recovery time between periods precipitation. Despite outsized societal that often stem from families, large-scale environments mechanisms associated with these compound events remain poorly understood. In this work, a new reanalysis-based 39-yr catalog 248 family affecting California 1981 2019 is introduced. Nearly all (94%)...
We present an analysis of the discovery reach for supersymmetric particles at upgraded Tevatron collider, assuming that SUSY breaking results in universal soft parameters grand unification scale, and lightest particle is stable neutral. first a review literature, including issues unification, renormalization group evolution supersymmetry effect radiative corrections on effective low energy couplings masses theory. consider experimental bounds coming from direct searches those arising...
Abstract According to three recent assessments, global warming will likely cause increased hurricane activity1 in the future. If true, this raises possibility that new coastal and offshore facilities are being under-designed, older may need hardening order maintain presently accepted risk levels. As these assessments readily admit, many uncertainties remain concerning accuracy of their forecast. The study summarized paper has sought narrow by using several methods. A set relatively high...
Abstract The 2012 drought was the most severe and extensive summertime U.S. in half a century with substantial economic loss impacts on food security commodity prices. A unique aspect of its rapid onset intensification over Southern Rockies, extending to Great Plains during late spring early summer, absence known precursor large‐scale patterns. Drought prediction therefore remains major challenge. This study evaluates relationships among snow, soil moisture, precipitation identify sources...
Abstract. A novel approach to modelling the surface wind field of landfalling tropical cyclones (TCs) is presented. The system simulates evolution low-level fields TCs, accounting for terrain effects. two-step process models gradient-level using a parametric model fitted TC track data and then brings winds down numerical boundary layer model. physical response variable drag height produces substantial local modifications smooth provided by profile For set US historical TCs accuracy simulated...
Abstract Real-time analyses and forecasts using an ensemble Kalman filter (EnKF) the Advanced Hurricane Weather Research Forecasting Model (AHW) are evaluated from 2009 North Atlantic hurricane season. This data assimilation system involved cycling observations that included conventional in situ data, tropical cyclone (TC) position, minimum SLP synoptic dropsondes each 6 h a 96-member on 36-km domain for three months. Similar to past studies, observation systematically reduces TC position...
An index of North Atlantic tropical cyclone (TC) damage potential due to winds and coastal surge is developed using seasonal climate variables relative sea surface temperature steering flow. These are proxies for the key damaging TC parameters intensity, size, forward speed that constitute an existing index. This climate-based approach has advantage sidestepping need data on individual TCs explains 48 % variance in historical potential. The merit assessments past events or periods, may be...