Brenda Dolan

ORCID: 0000-0003-2170-0164
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About
Contact & Profiles
Research Areas
  • Meteorological Phenomena and Simulations
  • Precipitation Measurement and Analysis
  • Atmospheric aerosols and clouds
  • Soil Moisture and Remote Sensing
  • Ocean Waves and Remote Sensing
  • Climate variability and models
  • Geophysics and Gravity Measurements
  • Lightning and Electromagnetic Phenomena
  • Cryospheric studies and observations
  • Fire effects on ecosystems
  • Ionosphere and magnetosphere dynamics
  • Tropical and Extratropical Cyclones Research
  • Arctic and Antarctic ice dynamics
  • Aeolian processes and effects
  • Hydrology and Watershed Management Studies
  • Spacecraft and Cryogenic Technologies
  • Computational Physics and Python Applications
  • Radio Wave Propagation Studies
  • Solar and Space Plasma Dynamics
  • Spacecraft Design and Technology
  • Oceanographic and Atmospheric Processes
  • Thermal Analysis in Power Transmission
  • Icing and De-icing Technologies
  • Wind and Air Flow Studies
  • Nuclear reactor physics and engineering

Colorado State University
2016-2025

University of Massachusetts Amherst
2009

University of Oklahoma
2009

University of Puerto Rico-Mayaguez
2009

NOAA National Severe Storms Laboratory
2009

McGill University
2009

Abstract During the second week of September 2013, a seasonally uncharacteristic weather pattern stalled over Rocky Mountain Front Range region northern Colorado bringing with it copious amounts moisture from Gulf Mexico, Caribbean Sea, and tropical eastern Pacific Ocean. This feed was funneled toward east-facing mountain slopes through series mesoscale circulation features, resulting in several days unusually widespread heavy rainfall steep mountainous terrain. Catastrophic flooding ensued...

10.1175/bams-d-13-00241.1 article EN Bulletin of the American Meteorological Society 2014-12-11

Abstract The Midlatitude Continental Convective Clouds Experiment (MC3E), a field program jointly led by the U.S. Department of Energy’s Atmospheric Radiation Measurement (ARM) Program and National Aeronautics Space Administration’s (NASA) Global Precipitation (GPM) mission, was conducted in south-central Oklahoma during April–May 2011. MC3E science objectives were motivated need to improve our understanding midlatitude continental convective cloud system life cycles, microphysics, GPM...

10.1175/bams-d-14-00228.1 article EN other-oa Bulletin of the American Meteorological Society 2015-12-21

Dense networks of short-range radars capable mapping storms and detecting atmospheric hazards are described. Composed small X-band (9.4 GHz) spaced tens kilometers apart, these defeat the Earth curvature blockage that limits today s long-range weather enables observing capabilities fundamentally beyond operational state-of-the-art radars. These include multiple Doppler observations for horizontal wind vectors, subkilometer spatial resolution, rapid-update (tens seconds) extending from...

10.1175/2009bams2507.1 article EN Bulletin of the American Meteorological Society 2009-07-13

Abstract Although much work has been done at S band to automatically identify hydrometeors by using polarimetric radar, several challenges are presented when adapting such algorithms X band. At band, attenuation and non-Rayleigh scattering can pose significant problems. This study seeks develop a hydrometeor identification (HID) algorithm for based on theoretical simulations the T-matrix model of seven different types: rain, drizzle, aggregates, pristine ice crystals, low-density graupel,...

10.1175/2009jtecha1208.1 article EN Journal of Atmospheric and Oceanic Technology 2009-05-27

Abstract A new 10-category, polarimetric-based hydrometeor identification algorithm (HID) for C band is developed from theoretical scattering simulations including wet snow, hail, and big drops/melting hail. The HID applied to data seven seasons in Darwin, Australia, using the polarimetric C-band (C-POL) radar, investigate microphysical differences between monsoon break periods. Scattering reveal significant Mie effects with large hail (diameter > 1.5 cm), reduced reflectivity enhanced...

10.1175/jamc-d-12-0275.1 article EN Journal of Applied Meteorology and Climatology 2013-06-14

Understanding drop size distribution (DSD) variability has important implications for remote sensing and numerical modeling applications. Twelve disdrometer datasets across three latitude bands are analyzed in this study, spanning a broad range of precipitation regimes: light rain, orographic, deep convective, organized midlatitude, tropical oceanic. Principal component analysis (PCA) is used to reveal comprehensive modes global DSD spatial temporal variability. Although the locations...

10.1175/jas-d-17-0242.1 article EN other-oa Journal of the Atmospheric Sciences 2018-02-28

Abstract Two-dimensional video disdrometer (2DVD) data were analyzed from two equatorial Indian (Gan) and west Pacific Ocean (Manus) islands where precipitation is primarily organized by the intertropical convergence zone Madden–Julian oscillation (MJO). The 18 (3.5) months of 2DVD Manus Island show that 1) sites have similar drop size distribution (DSD) spectra liquid water content, median diameter, rain rate R, radar reflectivity z, normalized gamma number concentration Nw, other integral...

10.1175/jas-d-14-0206.1 article EN other-oa Journal of the Atmospheric Sciences 2015-07-28

Abstract The purpose of this study is to demonstrate the use polarimetric observations in a radar-based winter hydrometeor classification algorithm. This accomplished by deriving bulk electromagnetic scattering properties stratiform, cold-season rain, freezing sleet, dry aggregated snowflakes, dendritic snow crystals, and platelike crystals at X-, C-, S-band wavelengths based on microphysical theory previous observational studies. These results are then used define expected value ranges, or...

10.1175/jtech-d-13-00119.1 article EN Journal of Atmospheric and Oceanic Technology 2014-04-01

Abstract. We have developed an algorithm that retrieves the size, number concentration and density of falling snow from multifrequency radar observations. This work builds on previous studies indicated three-frequency radars can provide information density, potentially improving accuracy parameter estimates. The is based a Bayesian framework, using lookup tables mapping measurement space to state space, which allows fast robust retrieval. In forward model, we calculate reflectivities...

10.5194/amt-11-5471-2018 article EN cc-by Atmospheric measurement techniques 2018-10-05

Abstract This study compares and evaluates single-polarization (SP)- dual-polarization (DP)-based radar-rainfall (RR) estimates using NEXRAD data acquired during Iowa Flood Studies (IFloodS), a NASA GPM ground validation field campaign carried out in May–June 2013. The objective of this is to understand the potential benefit DP quantitative precipitation estimation, which selects different rain-rate estimators according radar-identified types, evaluate RR generated by recent research SP...

10.1175/jhm-d-14-0169.1 article EN Journal of Hydrometeorology 2015-03-18

Abstract This study describes the generation and testing of a reference rainfall product created from field campaign datasets collected during NASA Global Precipitation Measurement (GPM) mission Ground Validation Iowa Flood Studies (IFloodS) experiment. The evaluates ground-based radar (RR) products acquired IFloodS in context building product. purpose was not only to attain high-quality for validation satellite estimates but also enhance understanding flood-related processes predictability...

10.1175/jhm-d-18-0080.1 article EN Journal of Hydrometeorology 2018-10-10

Abstract Dual-polarization radar rainfall estimation relationships have been extensively tested in continental and subtropical coastal rain regimes, with little testing over tropical oceans where the majority of on Earth occurs. A 1.5-yr Indo-Pacific warm pool disdrometer dataset was used to quantify impacts oceanic drop-size distribution (DSD) variability dual-polarization variables their resulting utility for estimation. Variables that were analyzed include differential reflectivity Z dr ;...

10.1175/jamc-d-17-0160.1 article EN other-oa Journal of Applied Meteorology and Climatology 2017-12-27

Abstract This paper introduces a synthetic polarimetric radar simulator and retrieval package, POLArimetric Radar Retrieval Instrument Simulator (POLARRIS), for evaluating cloud‐resolving models (CRMs). POLARRIS is composed of forward (POLARRIS‐f) inverse (retrieval diagnostic) components (iPOLARRIS) to generate not only observables ( Z h , dr K dp ρ hv ) but also radar‐consistent geophysical parameters such as hydrometeor identification, vertical velocity, rainfall rates retrieved from CRM...

10.1029/2018jd028317 article EN Journal of Geophysical Research Atmospheres 2019-03-29

Abstract Pyrocumulus clouds above three Colorado wildfires (Hewlett Gulch, High Park, and Waldo Canyon; all during the summer of 2012) electrified produced localized intracloud discharges whenever smoke plumes grew 10 km MSL (approximately −45°C). Vertical development occurred periods rapid wildfire growth, as indicated by shortwave infrared channel on a geostationary satellite, well incident reports. The lightning were detected three-dimensional mapping network. Based Doppler polarimetric...

10.1175/mwr-d-13-00184.1 article EN Monthly Weather Review 2013-09-09

Abstract Microphysical and kinematic characteristics of two storm populations, based on their macroscale charge structures, are investigated in an effort to increase our understanding the processes that lead anomalous (or inverted charge) structures. Nine normal polarity cases (midlevel negative with dual‐Doppler polarimetric coverage occurred northern Alabama six positive northeastern Colorado included this study. The results show even though storms formed environments similar instability,...

10.1029/2017jd027540 article EN publisher-specific-oa Journal of Geophysical Research Atmospheres 2018-05-31

Abstract Multisensor Agile Adaptive Sampling (MAAS), a smart sensing framework, was adapted to increase the likelihood of observing vertical structure (with little no gaps), spatial variability (at subkilometer scale), and temporal evolution ∼2-min resolution) convective cells. This adaptation MAAS guided two mechanically scanning C-band radars (CSAPR2 CHIVO) by automatically analyzing latest NEXRAD data identify, characterize, track, nowcast location all cells forming in Houston domain....

10.1175/jtech-d-23-0043.1 article EN Journal of Atmospheric and Oceanic Technology 2023-09-29

Abstract Global numerical weather models are starting to resolve atmospheric moist convection which comes with a critical need for observational constraints. One avenue such constraints is spaceborne radar tend operate at three wavelengths, Ku-, Ka- and W-band. Many studies of deep in the past have primarily leveraged Ku-band because it less affected by attenuation multiple scattering. However, future missions might not contain thus considering view from Ka-band or W-band compared would be...

10.1175/jamc-d-24-0109.1 article EN Journal of Applied Meteorology and Climatology 2025-01-03

Abstract Ice‐nucleating particles (INPs) play a key role in ice formation and cloud microphysics thus significantly impact the water cycle climate. However, our understanding of atmospheric INPs, particularly their sources, emissions, spatiotemporal variability, is incomplete. While enhancement INP concentrations with rainfall has been previously shown, mechanistic process lacking. Here, we link detailed precipitation observations near‐surface at semiarid grassland site Colorado. Considering...

10.1029/2024jd042584 article EN cc-by Journal of Geophysical Research Atmospheres 2025-05-31

Abstract A series of model simulations were conducted to investigate the effects cloud condensation nuclei (CCN) loading and convective available potential energy (CAPE) on tropical maritime midlatitude continental deep convection. Dynamical downscaling from global aerosol reanalysis was used represent fields for two regimes. We describe a control run multiple sensitivity experiments using limited‐area model, employing spectral‐bin microphysics. The CCN is perturbed between target...

10.1029/2019jd030952 article EN Journal of Geophysical Research Atmospheres 2020-05-12

Abstract The BiLateral Operational Storm‐Scale Observation and Modeling (BLOSSOM) project was initiated to establish a long‐term supersite improve understanding of cloud physical states processes as well support satellite climate model programs over the Wallops Flight Facility site via bilateral approach storm‐scale observations process modeling. This study highlights noble systematic validation framework BLOSSOM ensemble cloud‐process simulations through mixed‐phase, light‐rain,...

10.1029/2022jd038134 article EN cc-by-nc-nd Journal of Geophysical Research Atmospheres 2023-08-21

Abstract The particle identification scheme developed by Dolan and Rutledge for X-band polarimetric radar is tested the first time in Africa compared with situ measurements. data were acquired during Megha-Tropiques mission algorithm-validation campaign that occurred Niger 2010. classification observations gathered an instrumented aircraft 13 August 2010 squall-line case. An original approach has been radar–in comparison: it consists of simulating synthetic variables from microphysical-probe...

10.1175/jamc-d-15-0013.1 article EN other-oa Journal of Applied Meteorology and Climatology 2015-12-21
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