A5005202678- Atmospheric aerosols and clouds
- Precipitation Measurement and Analysis
- Meteorological Phenomena and Simulations
- Aeolian processes and effects
- Atmospheric chemistry and aerosols
- Climate variability and models
- Particle Dynamics in Fluid Flows
- Cryospheric studies and observations
- Fire effects on ecosystems
- Wind and Air Flow Studies
- Air Quality Monitoring and Forecasting
- Urban Heat Island Mitigation
- Atmospheric and Environmental Gas Dynamics
- Ocean Waves and Remote Sensing
- Atmospheric Ozone and Climate
- Terahertz technology and applications
- Smart Cities and Technologies
- Icing and De-icing Technologies
- Lightning and Electromagnetic Phenomena
- Cloud Computing and Resource Management
- Arctic and Antarctic ice dynamics
Brookhaven National Laboratory
2022-2025
Stony Brook University
2019-2024
State University of New York
2022
Lanzhou University
2017
Abstract. Cold-air outbreaks (CAOs) are characterized by extreme air–sea energy exchanges and low-level convective clouds over large areas in the high-latitude oceans. As such, CAOs an important component of Earth's climate system. The Marine Boundary Layer Experiment (COMBLE) deployment US Department Energy Atmospheric Radiation Measurement (ARM) Mobile Facility (AMF) provided first comprehensive view using a suite ground-based observations at northern coast Norway. Here, cloud...
Abstract Clouds, crucial for understanding climate, begin with droplet formation from aerosols, but observations of this fleeting activation step are lacking in the atmosphere. Here we use a time-gated time-correlated single-photon counting lidar to observe cloud base structures at decimeter scales. Results show that air–cloud interface is not perfect boundary rather transition zone where transformation aerosol particles into droplets occurs. The observed distributions first-arriving photons...
Abstract Dust aerosols, highly efficient ice nucleating particles, significantly influence high cloud properties, thereby impacting climate. As global warming and aridification are projected to increase dust emissions, understanding dust‐high interactions becomes increasingly crucial. However, disentangling effects from meteorology influences on clouds remains challenging. This study employs Principal Component Analysis derive the first principal component (PC1), a comprehensive indicator...
Abstract. A relative calibration technique has been developed for the US Department of Energy's (DOE's) Atmospheric Radiation Measurement (ARM) user facility Ka-band ARM Zenith Radars (KAZRs). This method uses signal attenuation caused by water on radome to estimate reflectivity factor (Ze) offsets. The wet-radome (WRA) is assumed follow a log-linear relationship with rainfall rate during light and moderate rain, as measured collocated surface disdrometer. an uncertainty approximately 3 dB,...
Abstract Observations collected over 3 months by the beam‐matched second‐generation Ka/W band Scanning Cloud Radar located at Atmospheric Radiation Measurement Program Eastern North Atlantic observatory are used to advance existing liquid water content (LWC) retrieval techniques, quantify uncertainty, and subsequently characterize impact of cloud dynamics rain rates on vertical distribution LWC in boundary layer clouds both precipitating broken. A threefold technique is proposed that...
Abstract Measurements of in‐cloud vertical air motion are key to quantitatively describe cloud dynamics and their role in microphysics. Here, a retrieval technique for estimating the using upward edge radar Doppler spectrum is presented. An additional broadening correction factor that depends on signal‐to‐noise ratio (SNR) introduced. A variety independent measurements used assess performance new technique. The unbiased with an uncertainty 0.2 m s −1 SNR <30. properties investigated from...
Abstract. A large convection–cloud chamber has the potential to produce drizzle-sized droplets, thus offering a new opportunity investigate aerosol–cloud–drizzle interactions at fundamental level under controlled environmental conditions. One key measurement requirement is development of methods detect low-concentration drizzle drops in such cloud chamber. In particular, remote sensing may overcome some limitations situ methods. Here, an ultrahigh-resolution radar return signal small droplet...
Abstract Convective clouds play an important role in the Earth’s climate system and are a known source of extreme weather. Gaps our understanding convective vertical motions, microphysics, precipitation across full range aerosol meteorological regimes continue to limit ability predict occurrence intensity these cloud systems. Towards improving predictability, National Science Foundation (NSF) sponsored large field experiment entitled “Experiment Sea Breeze Convection, Aerosols,...
Abstract. The detection of the early growth drizzle particles in marine stratocumulus clouds is important for studying transition from cloud water to rainwater. Radar reflectivity commonly used detect drizzle; however, its utility limited larger particles. Alternatively, radar Doppler spectrum skewness has proven be a more sensitive quantity embryos. Here, machine learning (ML)-based technique that uses and detecting small presented. Aircraft situ measurements are develop validate ML...
Abstract. A modified method with a new noise reduction scheme that can reduce the distribution to narrow range is proposed distinguish clouds and other hydrometeors from recognize more features weak signal in cloud radar observations. spatial filter central weighting, which widely used hydrometeor detection algorithms, also applied our examine return for significant levels of signals. Square were constructed test algorithm US Department Energy Atmospheric Radiation Measurements Program...
Abstract. Shallow oceanic precipitation variability is documented using three second-generation radar systems located at the Atmospheric Radiation Measurement (ARM) Eastern North Atlantic observatory: ARM zenith (KAZR2), Ka-band scanning cloud (KaSACR2) and X-band (XSAPR2). First, measurement post-processing techniques, including sea-clutter removal calibration against colocated disdrometer Global Precipitation Mission (GPM) observations are described. Then, we present how a combination of...
Most lidars used for cloud observations have the range resolution of about 10 m, so they are incapable resolving submeter-scale processes that crucial to evolution. This article describes a prototype ground-based, vertically pointing, time-gated, time-correlated single-photon-counting lidar (referred as T2 lidar) developed explore atmospheric clouds at two orders magnitude finer than traditional lidars. The emits green-light pulses (532 nm) repetition rate 20.6 kHz and pulse width ∼650 ps,...
Abstract Low‐level clouds in a marine environment are examined using multiple ground‐based instruments. We used Doppler radar and lidar measurements (a) to examine cloud properties including base top height thickness (b) investigate vertical velocity ( w ) statistics throughout the subcloud in‐cloud layers. Marine stratocumulus (Sc) shallow cumulus (Cu) have distinct their horizontal extent. also find that two types different thermodynamic (coupled decoupled conditions) dynamical...
Abstract The Brookhaven National Laboratory Center for Multiscale Applied Sensing (CMAS) aims to address environmental equity needs in the context of a changing climate. As first step toward this goal, center developed one-of-a-kind observatory tailored study highly heterogeneous urban environments. This article describes features mobile that enable its rapid deployment either on or off power grid, as well instrument payload. Beyond unique design, optimizes data collection within...
Abstract A THz radar, with its wide bandwidth, is capable of high‐resolution imaging down to the centimeter scale. In this study, a radar applied detect hydrometeors generated in spray chamber. The observed backscattering signals show fluctuations at scales, indicating various hydrometeor distribution patterns along beam. co‐located High‐Speed Imaging (HSI) sensor used measure Drop Size Distributions (DSD) sampling beam well aligned HSI probes, allowing an objective comparison between remote...
Abstract Dust and high cloud interactions are critical for climate change, primarily due to the dominant roles of in greenhouse effect continental precipitation. Nonetheless, disentangling specific impacts dust from overlying meteorology influence on clouds presents great challenges. In this study, we construct a meteorological pattern that successfully reveal intricate connection between distribution atmospheric conditions. Through strong bounded relationship, find exhibits notable controls...
Clouds are one of the most important components in climate system through their profound effects on radiative energy budget. However, due to lack accurate representation clouds global models, they major source uncertainties for future projections. Millimeter wavelength Cloud Radars (MMCRs) powerful instruments that can resolve vertical structure as well microphysical properties clouds. The MMCRs, which is shorter than those weather radars, allows an excellent sensitivity cloud droplets and...
Measurements of in-cloud vertical air motion are key to quantitatively describe cloud dynamics and their role in microphysics. Here, a retrieval technique for estimating the using upward edge radar Doppler spectrum is presented. An additional broadening correction factor that depends on signal-to-noise ratio (SNR) introduced. A variety independent measurements used assess performance new retrieval. The unbiased with an uncertainty 0.2 ms-1for SNR less than 30. properties investigated from...
Low-level clouds (LLC), mainly composed of liquid water droplets, cool the climate system by strongly reflecting solar radiation back to space, and thus play an important role in Earth energy budget. However, LLC properties their radiative effects are poorly represented models, leading largest source uncertainty prediction. Liquid content (LWC) is a key property determining cloud extinction characteristics fundamental parameter transfer model. To improve understanding LWC properties,...
Abstract. Radar Doppler spectra observations provide a wealth of information about cloud and precipitation microphysics dynamics. The interpretation these measurements depends on our ability to simulate accurately using forward model. effect small-scale turbulence the radar shape has been traditionally treated by implementing convolution process hydrometeor reflectivity spectrum environmental turbulence. This approach assumes that all particles in sampling volume respond same turbulent-scale...
Abstract. Shallow oceanic precipitation variability is documented using 2nd generation radars located at the Atmospheric Radiation Measurement (ARM) Eastern North Atlantic observatory: Ka-band ARM zenith radar (KAZR2), scanning cloud (KaSACR2) and X-band (XSAPR2). First, measurement post-processing techniques, including sea clutter removal calibration against collocated disdrometer Global Precipitation Mission (GPM) observations are described. Then, we present how a combination of profiling...
Abstract. Radar Doppler spectra observations provide a wealth of information about cloud and precipitation microphysics dynamics. The interpretation these measurements depends on our ability to simulate accurately forward. effect small-scale turbulence the radar shape has been traditionally treated by implementing convolution process hydrometer reflectivity spectrum environment turbulence. This approach assumes that all particles in sampling volume respond same turbulent scale velocity...