A5061323998- Meteorological Phenomena and Simulations
- Climate variability and models
- Tropical and Extratropical Cyclones Research
- Ocean Waves and Remote Sensing
- Ionosphere and magnetosphere dynamics
- Precipitation Measurement and Analysis
- Atmospheric aerosols and clouds
- Oceanographic and Atmospheric Processes
- Atmospheric and Environmental Gas Dynamics
- Atmospheric Ozone and Climate
- Wind and Air Flow Studies
- Geophysics and Gravity Measurements
- Atmospheric chemistry and aerosols
- Cryospheric studies and observations
- Plant Water Relations and Carbon Dynamics
- Solar and Space Plasma Dynamics
- Hydrology and Drought Analysis
- Soil Moisture and Remote Sensing
- Environmental Changes in China
- Land Use and Ecosystem Services
- Remote Sensing and Land Use
- Urban Heat Island Mitigation
- Geomagnetism and Paleomagnetism Studies
- Flood Risk Assessment and Management
- Coastal and Marine Dynamics
East China University of Technology
2022-2025
Ministry of Natural Resources
2023-2024
Pennsylvania State University
2014-2023
Shanghai Jiao Tong University
2023
Massachusetts Institute of Technology
2016-2020
NOAA Geophysical Fluid Dynamics Laboratory
2019-2020
European Centre for Medium-Range Weather Forecasts
2019-2020
Princeton University
2020
Pacific Northwest National Laboratory
2020
National Institute of Meteorology
2004-2020
Abstract Accurate depiction of meteorological conditions, especially within the planetary boundary layer (PBL), is important for air pollution modeling, and PBL parameterization schemes play a critical role in simulating layer. This study examines sensitivity performance Weather Research Forecast (WRF) model to use three different [Mellor–Yamada–Janjic (MYJ), Yonsei University (YSU), asymmetric convective model, version 2 (ACM2)]. Comparison surface observations with 92 sets daily, 36-h...
Abstract This paper reviews the development of ensemble Kalman filter (EnKF) for atmospheric data assimilation. Particular attention is devoted to recent advances and current challenges. The distinguishing properties three well-established variations EnKF algorithm are first discussed. Given limited size unavoidable existence errors whose origin unknown (i.e., system error), various approaches localizing impact observations accounting these have been proposed. However, challenges remain;...
The ensemble Kalman filter (EnKF) uses an of short-range forecasts to estimate the flow-dependent background error covariances required in data assimilation. feasibility EnKF for convective-scale assimilation has been previously demonstrated perfect-model experiments using simulated observations radial velocity from a supercell storm. present study further explores potential and behavior at convective scales by considering more realistic initial analyses variations availability quality radar...
Abstract Assimilation of Doppler radar data into cloud models is an important obstacle to routine numerical weather prediction for convective-scale motions; the difficulty lies in initializing fields wind, temperature, moisture, and condensate given only observations radial velocity reflectivity from radar. This paper investigates potential ensemble Kalman filter (EnKF), which estimates covariances between observed variables state through forecasts, assimilate at convective scales. In basic...
For several decades, jets and fronts have been known from observations to be significant sources of internal gravity waves in the atmosphere. Motivations investigate these included their impact on tropospheric convection, contribution local mixing turbulence upper troposphere, vertical propagation into middle atmosphere, forcing its global circulation. While many different studies consistently highlighted jet exit regions as a favored locus for intense waves, mechanisms responsible emission...
This study explores the assimilation of Doppler radar radial velocity observations for cloud-resolving hurricane analysis, initialization, and prediction with an ensemble Kalman filter (EnKF). The case studied is Hurricane Humberto (2007), first landfalling in United States since end 2005 season most rapidly intensifying near-landfall storm U.S. history. caused extensive damage along southeast Texas coast but was poorly predicted by operational models forecasters. It found that EnKF after...
Abstract The NCEP–NCAR reanalysis, NCEP Climate Forecast System Reanalysis (CFSR), 40-yr ECMWF Re-Analysis (ERA-40), and interim (ERA-Interim) products are evaluated with sounding observations from an enhanced radiosonde network available every 6 h during the Tibetan Plateau Experiment (TIPEX) conducted 10 May to 9 August 1998. This study uses more than 3000 high-quality, independent rawinsondes at 11 stations (which were not assimilated in any of reanalyses), which represents first time...
Abstract Understanding the predictability limit of day-to-day weather phenomena such as midlatitude winter storms and summer monsoonal rainstorms is crucial to numerical prediction (NWP). This studied using unprecedented high-resolution global models with ensemble experiments European Centre for Medium-Range Weather Forecasts (ECMWF; 9-km operational model) identical-twin U.S. Next-Generation Global Prediction System (NGGPS; 3 km). Results suggest that may indeed exist intrinsic underlying...
Better weather and environmental forecasting will continue to improve well-being
In a previous study by the authors, it was shown that problematic numerical prediction of 24–25 January 2000 snowstorm along east coast United States in some measure due to rapid error growth at scales below 500 km. particular they found moist processes were responsible for this strong initial-condition sensitivity 1–2-day mesoscale forecast aspects. present take more systematic look which small initial differences ("errors") grow those forecasts. For errors restricted 100 km, results show...
The feasibility of using an ensemble Kalman filter (EnKF) to retrieve the wind and temperature fields in isolated convective storm has been tested by applying technique observations 17 May 1981 Arcadia, Oklahoma, tornadic supercell. Radial-velocity reflectivity from a single radar were assimilated into nonhydrostatic, anelastic numerical model initialized with idealized (horizontally homogeneous) base state. assimilation results compared another Doppler radar, dual-Doppler syntheses, situ...
Abstract A recent study examined the predictability of an idealized baroclinic wave amplifying in a conditionally unstable atmosphere through numerical simulations with parameterized moist convection. It was demonstrated that effect moisture included, error starting from small random noise is characterized by upscale growth short-term (0–36 h) forecast growing synoptic-scale disturbance. The current seeks to explore further mesoscale error-growth dynamics waves convection-permitting...
Multiply nested mesoscale numerical simulations with horizontal resolution up to 3.3 km are performed study the generation of gravity waves during life cycle idealized baroclinic jet–front systems. Long-lived vertically propagating wavelengths ∼100–200 simulated originating from exit region upper-tropospheric jet streak, in a manner consistent past observational studies. The residual nonlinear balance equation is found be useful index diagnosing flow imbalance and predicting wave generation....
Abstract Through observing system simulation experiments, this two-part study exploits the potential of using ensemble Kalman filter (EnKF) for mesoscale and regional-scale data assimilation. Part I focuses on performance EnKF under perfect model assumption in which truth is produced with same initial uncertainties as those ensemble, while II explores impacts error initiation performance. In first part, implemented a nonhydrostatic [the fifth-generation Pennsylvania State University–NCAR...
Abstract Through cloud-resolving simulations, this study examines the effect of vertical wind shear and system-scale flow asymmetry on predictability tropical cyclone (TC) intensity during different stages TC life cycle. A series ensemble experiments is performed with varying magnitudes shear, each initialized an idealized weak TC-like vortex, small-scale, small-amplitude random perturbations added to initial conditions. It found that environmental can significantly affect intrinsic...
This study examines a hurricane prediction system that uses an ensemble Kalman filter (EnKF) to assimilate high‐resolution airborne radar observations for convection‐permitting initialization and forecasting. demonstrated very promising performance, especially on intensity forecasts, through experiments over all 61 applicable NOAA P‐3 Doppler missions during the 2008–2010 Atlantic seasons. The mean absolute forecast errors initialized with EnKF‐analysis of at 24‐ 120‐h lead times were 20–40%...
Abstract The feasibility of using an ensemble Kalman filter (EnKF) for mesoscale and regional-scale data assimilation has been demonstrated in the authors’ recent studies via observing system simulation experiments (OSSEs) both under a perfect-model assumption presence significant model error. current study extends EnKF to assimilate real-data observations warm-season convective vortex (MCV) event on 10–12 June 2003. Direct comparison between three-dimensional variational (3DVAR) system,...
The principal hypotheses of a new model tropical cyclogenesis, known as the marsupial paradigm, were tested in context Atlantic disturbances during National Science Foundation (NSF)-sponsored Pre-Depression Investigation Cloud Systems Tropics (PREDICT) experiment 2010. PREDICT was part tri-agency collaboration, along with Aeronautics and Space Administration's Genesis Rapid Intensification Processes (NASA GRIP) Oceanic Atmospheric Intensity Forecasting Experiment (NOAA IFEX), intended to...
Extratropical transition (ET) is the process by which a tropical cyclone, upon encountering baroclinic environment and reduced sea surface temperature at higher latitudes, transforms into an extratropical cyclone. This influenced by, influences, phenomena from tropics to midlatitudes meso- planetary scales extents that vary between individual events. Motivated in part recent high-impact and/or extensively observed events such as North Atlantic Hurricane Sandy 2012 western Pacific Typhoon...
This study explores the diurnal variations of warm-season precipitation to east Tibetan Plateau over China using high-resolution NOAA/Climate Prediction Center morphing technique (CMORPH) data and Global Forecast System (GFS) gridded analyses during mid-May mid-August 2003–09. Complementary past studies satellite or surface observations, it is found that there are strong in summertime focus domain Plateau. These cycles strongly associated with several thermally driven regional...
Abstract Through a Weather Research and Forecasting model (WRF)-based ensemble Kalman filter (EnKF) data assimilation system, the impact of assimilating airborne radar observations for convection-permitting analysis prediction Hurricane Katrina (2005) is examined in this study. A forecast initialized from EnKF analyses had substantially smaller hurricane track errors than NOAA’s operational forecasts control NCEP lead times up to 120 h. Verifications against independent situ remotely sensed...
Abstract This study explores both the practical and intrinsic predictability of severe convective weather at mesoscales using convection-permitting ensemble simulations a squall line bow echo event during Bow Echo Mesoscale Convective Vortex (MCV) Experiment (BAMEX) on 9–10 June 2003. Although most members—initialized with realistic initial condition uncertainties smaller than NCEP Global Forecast System Final Analysis (GFS FNL) an Kalman filter—forecast broad areas convection, there is...
Abstract This study examines the diurnal variations of warm-season precipitation over northern China using high-resolution products obtained from Climate Prediction Center’s morphing technique (CMORPH) during May–August 2003–09. The areas focus are Yanshan–Taihangshan Mountain ranges along east peripheries Loess and Inner Mongolian Plateaus adjacent North Plains. It is found that averaged peak in local begins early afternoon near top mountain propagates downslope southeastward at a speed ∼13...
Abstract The potential impacts of GOES‐R satellite radiances on tropical cyclone analysis and prediction were examined through ensemble correlations between simulated infrared brightness temperatures various model state variables. assimilating all‐sky further demonstrated a series convection‐permitting observing system simulation experiments using an Kalman filter under both perfect imperfect scenarios. Assimilation the high temporal spatial resolution not only constrained well thermodynamic...