Resume

• 2009

  Doctor of Philosophy (Ph.D.)

  Atmospheric Sciences and Meteorology

  The University of North Dakota

• 2007

  M.S.

  Atmospheric Science

  AGU

  Intramural Hockey and Broomball

  Grand Forks Curling Club

  The University of North Dakota

• 1989

  BA

  Environmental Science

  University of Virginia

• Dr. Tim Logan

  I AM STUDYING THE PHYSICO-CHEMICAL PROPERTIES OF AEROSOLS BASED ON THEIR ABSORPTION OF LIGHT RANGING FROM THE SHORTWAVE TO INFRARED WAVELENGTHS USING GROUND BASED AERONET AND SATELLITE DATA.

  Scientific Computing

  Geology

  Meteorology

  IDL

  LaTeX

  Earth Science

  Science

  Physics

  Mathematica

  Oceanography

  Fortran

  Mathematical Modeling

  Astronomy

  Weather Forecasting

  A study of Asian dust plumes using satellite

  surface

  and aircraft measurements during the INTEX-B field experiment

  Maureen Cribb

  Zhanqing Li

  Xiquan Dong

  Baike Xi

  Study based on Asian dust and pollution transport from the combined masters theses of Appleford and Logan.

  A study of Asian dust plumes using satellite

  surface

  and aircraft measurements during the INTEX-B field experiment

  Jilin Sun

  Wenjun Qu

  Xu Dong

  Lifang Sheng

  Wencai Wang

  Journal of Quantitative Spectroscopy & Radiative Transfer

  Dust aerosol effect on the retrievals of dusty cloud top height (DCTH) are analyzed over Northwest China using cloud products from MODerate Resolution Imaging Spectroradiometer (MODIS) on Aqua

  Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO)

  and CloudSat for the Spring season of March–May over the years 2007–2011. An excellent agreement is found between CloudSat and CALIPSO derived DCTHs for all cloud types

  suggesting that the effect of dust aerosols plays a small role in DCTHs determination for lidar and radar measurements. However

  the presence of dust aerosols greatly affects the retrievals of DCTHs for MODIS compared with pure clouds and the active sensors derived results. The differences of DCTHs retrieving from CloudSat and MODIS range from −2.30 to 6.8 km. Likewise

  the differences of DCTHs retrieving from CALIPSO and MODIS range from −2.66 to 6.78 km. In addition

  the results show that the differences in DCTHs for active and passive sensors are dependent on cloud type. On the whole

  dust aerosols have the largest effect on cloud top heights (CTH) retrieved of nimbostratus (Ns)

  followed by altocumulus (Ac) and altostratus (As)

  the last is cirrus (Ci) over Northwest China. Our results also indicate that the accuracy of MODIS-derived retrievals reduces accompanied with a decrease of height.

  Dust aerosol impact on the retrieval of cloud top height from satellite observations of CALIPSO

  CloudSat and MODIS

  Lead author is Ron Li

  Co-authors: G. Tang

  J. Ding. T. Logan

  S. Brooks

  D. R. Collins

  P. Yang

  and G. W. Kattawar\nRetrieval of aerosol scattering properties using laser spectroscopy apparatus developed by Dr. Ping Yang and his research scientist Ron Li.

  Laboratory measurements of light scattering properties of kaolinite dust at 532 nm

  Xiquan Dong

  Baike Xi

  Biomass burning aerosols can have a large impact on atmospheric processes as well as human health. During the 2012 warm season

  a large outbreak of wildfires originating from the intermountain and Pacific states provided many opportunities to observe the physical and chemical properties of biomass smoke aerosols. Six biomass burning smoke plumes (26 June – 15 September) have been observed by the newly installed Grand Forks

  North Dakota

  AERONET site (47.91ºN

  97.32ºW) and are selected for this study. To identify the source regions

  HYSPLIT backward trajectory model data and satellite imagery are used to track these events. The volume size distribution and spectral aerosol optical depth (AOD) dependence showed the relative influences of fine and coarse mode particles. Case II (4 July) had the strongest fine mode influence as evidenced by a strong spectral AOD dependence while Case VI (15 September) had the strongest coarse mode influence with the weakest spectral dependence. The spectral dependences of absorption aerosol optical depth (AAOD) and single scattering co-albedo (oabs) illustrated the varying absorption of the smoke plumes by inferring the relative contributions of strongly and weakly absorbing carbonaceous species. More specifically

  the AAOD parameter is primarily influenced by aerosol particle size while oabs is more dependent on aerosol composition. The AAOD spectral dependences for Cases I (26 June)

  III (31 July)

  and VI were weaker than those from Cases II

  IV (28 August)

  and V (30 August). However

  the spectral oabs dependences were different in that the smoke particles in Cases III and VI had the strongest absorption while Cases I

  II

  IV

  and V had moderate to weakly absorbing particles. In addition

  a weak correlation was found between plume transport time and particle absorption where strongly absorbing carbon was converted to weakly absorbing carbon.

  Biomass Burning Aerosol Properties over the Northern Great Plains during the 2012 Warm Season

  Maureen Cribb

  Zhanqing Li

  Xiquan Dong

  Baike Xi

  Aerosol classification method based on the absorptive properties of aerosols. Aerosol organic chemistry can also be inferred.

  Classification and investigation of Asian aerosol absorptive properties

  Wei Gong

  Feiyue Mao

  Optics Express

  The automatic detection of aerosols and the cloud layer boundary (base and top) is important in atmospheric lidar data processing

  because the boundary information is not only useful for environment and climate studies

  but can also be used as input for further data processing. Previous methods have demonstrated limitations in defining the base and top

  window-size setting

  and have neglected the in-layer attenuation. To overcome these limitations

  we present a new layer detection scheme based on linear segmentation with a reasonable threshold setting

  boundary selecting

  and over-detection removing strategies. Preliminary results from both real and simulated data show that this algorithm can not only detect the layer-base as accurate as the simple multi-scale method

  but also can detect layer-top more accurately than that of the simple multi-scale method. Our algorithm can be directly applied to uncalibrated data without requiring any additional measurements or window size selections.

  Detecting layer in atmospheric lidar signal based on linear segmentation

  Impacts of biomass burning smoke on deep convection and lightning polarity.

  Anomalous Lightning Behavior during the 26-27 August 2007 Northern Great Plains Severe Weather Event

  Impacts of biomass burning smoke aerosols on low-level cloud development. Co-authors: Dr. Xiquan Dong and Dr. Baike Xi

  Aerosol properties and their impacts on surface CCN at the ARM Southern Great Plains site during the 2011 Midlatitude Continental Convective Clouds Experiment

  Xiquan Dong

  Baike Xi

  Comparison of two strong winter and spring season dust events over three Asian sites representing urban/pollution

  mineral dust

  and mixed type aerosol generation regions.

  A comparison of the mineral dust absorptive properties between two Asian dust events

  Xiquan Dong

  Baike Xi

  A multiplatform data set from the Clouds

  Aerosol

  and Precipitation in the Marine Boundary Layer (MBL) Graciosa

  Azores

  2009–2010 field campaign was used to investigate how continental aerosols can influence MBL cloud condensation nuclei (CCN) number concentration (NCCN). The seasonal variations of aerosol properties have shown that the winter and early spring months had the highest mean surface wind speed (> 5 m s−1) and greatest contribution of sea salt to aerosol optical depth (AOD)

  while continental fine mode aerosols were the main contributors to AOD during the warm season months (May–September). Five aerosol events consisting of mineral dust

  pollution

  biomass smoke

  and volcanic ash particles were selected as case studies using Atmospheric Radiation Measurement (ARM) mobile facility measurements. The aerosols in Case I were found to primarily consist of coarse mode

  Saharan mineral dust. For Case II

  the aerosols were also coarse mode but consisted of volcanic ash. Case III had fine mode biomass smoke and pollution aerosol influences while Cases IV and V consisted of mixtures of North American pollution and Saharan dust that was advected by an extratropical cyclone to the Azores. Cases I

  IV

  and V exhibited weak correlations between aerosol loading and NCCN due to mineral dust influences

  while Cases II and III had a strong relationship with NCCN likely due to the sulfate content in the volcanic ash and pollution particles. The permanent Eastern North Atlantic ARM facility over the Azores will aid in a future long-term study of aerosol effects on NCCN.

  Aerosol properties and their influences on marine boundary layer cloud condensation nuclei at the ARM mobile facility over the Azores

  Director of the Houston Lightning Mapping Array (HLMA) Network. The HLMA provides a service to the surrounding community by providing timely and reliable lightning data to make informed decisions in regards to public safety interests while providing quality data for collaborative

  interdisciplinary research within the university community and for K-12 STEM projects. As part of this effort

  I develop and test sferics detectors under various modes of deep convection.\n\nMy current research deals with aerosol impacts on low-level cloud development which is funded by a NSF Grant (2017-2020). As part of the grant

  I develop micro-gadgets capable of measuring temperature

  pressure

  and aerosol optical depth. As part of the Texas A&M University Tier One Proposal (TOPS) grant (2018-2021)

  I study aerosol impacts on boundary layer clouds using 3-D images derived from a portable micropulse LIDAR.\n\nMy primary research goals are to (1) improve upon earlier aerosol classification methods by using theoretical radiative transfer calculations and in situ measurements (e.g.

  laser spectroscopy)

  (2) analyze the long-term aerosol impacts on low-level and deep convective cloud development

  and (3) discern the possible impacts of biomass burning smoke aerosols on severe weather and lightning.\n\n\nSpecialties: Fluent in Spanish

  semi-fluent in French and German

  great public speaking skills

  proficient in IDL computing language

  Tim

  Logan

  Texas A&M University

  Morristown High School

  University of North Dakota

  Develop and implement lessons for topics dealing with the basic mechanics of the atmosphere and relating these topics to undergraduate students who are non-atmospheric science majors.

  Instructional Assistant Professor

  Bryan/College Station

  Texas Area

  Texas A&M University

  Morristown

  New Jersey

  Create and implement a curriculum based upon the four core areas of earth science systems (geology

  oceanography

  meteorology

  and astronomy) in addition to selected topics in modern and classical physics. This curriculum is also infused with hands-on learning based technology developed by PITSCO.

  Geophysical Systems Science Teacher

  Morristown High School

  Develop an aerosol classification method in order to interpret the effects of various aerosol types on the Earth's radiation budget

  cloud microphysical properties and deep convective processes.

  Graduate Research Assistant

  Grand Forks

  North Dakota Area

  University of North Dakota

  Summary of published study that investigates the influences of several types of aerosols on marine boundary layer (MBL) cloud condensation nuclei (CCN).

  American Meteorological Society