David Lary
#78,764
Most Influential Person Now
Atmospheric scientist
David Lary's AcademicInfluence.com Rankings
David Laryearth-sciences Degrees
Earth Sciences
#2335
World Rank
#3160
Historical Rank
#534
USA Rank
Atmospheric Sciences
#206
World Rank
#214
Historical Rank
#41
USA Rank
Meteorology
#219
World Rank
#285
Historical Rank
#67
USA Rank
Download Badge
Earth Sciences
Why Is David Lary Influential?
(Suggest an Edit or Addition)According to Wikipedia, David J. Lary is a British-American atmospheric scientist interested in applying computational and information systems to facilitate discovery and decision support in Earth system science. His main contributions have been to highlight the role of carbonaceous aerosols in atmospheric chemistry, heterogeneous bromine reactions, and to employ chemical data assimilation for satellite validation, and the use of machine learning for remote sensing applications. He is author of AutoChem, NASA release software that constitutes an automatic computer code generator and documentor for chemically reactive systems. It was designed primarily for modeling atmospheric chemistry, and in particular, for chemical data assimilation. He is author of more than 200 publications receiving more than 6,000 citations.
David Lary's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Machine learning in geosciences and remote sensing (2016) (627)
- Lagrangian four‐dimensional variational data assimilation of chemical species (1995) (191)
- Catalytic destruction of stratospheric ozone (1997) (156)
- Carbon aerosols and atmospheric photochemistry (1997) (155)
- Gas phase atmospheric bromine photochemistry (1996) (118)
- Diffuse radiation, twilight, and photochemistry — I (1991) (116)
- Low Power Greenhouse Gas Sensors for Unmanned Aerial Vehicles (2012) (108)
- A three-dimensional modeling study of trace species in the Arctic lower stratosphere during winter 1989-1990 (1993) (104)
- Chlorine chemistry and the potential for ozone depletion in the Arctic stratosphere in the winter of 1991/92 (1994) (104)
- The drought response of Theobroma cacao (cacao) and the regulation of genes involved in polyamine biosynthesis by drought and other stresses. (2008) (102)
- Heterogeneous atmospheric bromine chemistry (1996) (102)
- Three‐dimensional tracer initialization and general diagnostics using equivalent PV latitude–potential‐temperature coordinates (1995) (102)
- QBO and annual cycle variations in tropical lower stratosphere trace gases from HALOE and Aura MLS observations (2008) (84)
- Machine Learning and Bias Correction of MODIS Aerosol Optical Depth (2009) (83)
- Carbonaceous aerosols and their potential role in atmospheric chemistry (1999) (79)
- Estimating the global abundance of ground level presence of particulate matter (PM2.5). (2014) (78)
- Near-Field Characterization of Methane Emission Variability from a Compressor Station Using a Model Aircraft. (2015) (75)
- Neural networks as a tool for constructing continuous NDVI time series from AVHRR and MODIS (2008) (75)
- Central role of carbonyl compounds in atmospheric chemistry (2000) (67)
- Using Machine Learning to Estimate Global PM2.5 for Environmental Health Studies (2015) (64)
- Observations of Middle Atmosphere CO from theUARSISAMS during the Early Northern Winter 1991/92 (1999) (62)
- A review on the use of the adjoint method in four‐dimensional atmospheric‐chemistry data assimilation (2001) (59)
- Phytophthora megakarya and Phytophthora palmivora, Closely Related Causal Agents of Cacao Black Pod Rot, Underwent Increases in Genome Sizes and Gene Numbers by Different Mechanisms (2017) (58)
- Elementary Climate Physics (2005) (52)
- An observing system simulation experiment to evaluate the scientific merit of wind and ozone measurements from the future SWIFT instrument (2005) (48)
- Short-Lived Ozone-Related Compounds (1999) (46)
- Machine Learning Applications for Earth Observation (2018) (45)
- Opening Terahertz for Everyday Applications (2019) (37)
- Impacts of formaldehyde photolysis rates on tropospheric chemistry (2010) (35)
- Using an Extended Kalman Filter Learning Algorithm for Feed-Forward Neural Networks to Describe Tracer Correlations (2004) (32)
- The prevalence of cataract in two villages of Northern Pakistan with different levels of ultraviolet radiation (1997) (32)
- The potential impact of the reaction OH+ClO→HCl+O2 on polar ozone photochemistry (1995) (31)
- Short-Lived Ozone-Related Compounds, Scientific Assessment of Ozone Depletion: 1998, World Meteorological Organization (1999) (28)
- Halogens and the chemistry of the free troposphere (2004) (28)
- Using neural networks to describe tracer correlations (2003) (28)
- The effects of ingesting polylactate or glucose polymer drinks during prolonged exercise. (1991) (27)
- UV-visible absorption cross sections of gaseous Br 2 O and HOBr (1996) (27)
- Space-based measurements of HCl: Intercomparison and historical context (2008) (26)
- Phytophthora megakarya and P. palmivora, Causal Agents of Black Pod Rot, Induce Similar Plant Defense Responses Late during Infection of Susceptible Cacao Pods (2017) (25)
- Variations in stratospheric inorganic chlorine between 1991 and 2006 (2007) (24)
- Three-dimensional studies of the 1991/1992 northern hemisphere winter using domain-filling trajectories with chemistry (1997) (22)
- Artificial Intelligence in Geoscience and Remote Sensing (2010) (22)
- Halogen‐catalyzed methane oxidation (1997) (22)
- Sequential assimilation of stratospheric chemical observations in a three-dimensional model (2002) (21)
- Using Machine Learning for the Calibration of Airborne Particulate Sensors (2019) (21)
- Remote Sensing of CDOM, CDOM Spectral Slope, and Dissolved Organic Carbon in the Global Ocean (2018) (21)
- A Method to Determine the Spatial Resolution Required to Observe Air Quality From Space (2007) (21)
- Analysis of exhaled human breath via terahertz molecular spectroscopy (2016) (19)
- Progress of machine learning in geosciences：Preface (2016) (19)
- Using machine learning to estimate atmospheric Ambrosia pollen concentrations in Tulsa, OK (2017) (19)
- Using probability distribution functions for satellite validation (2006) (19)
- Solar heating rates after a volcanic eruption: The importance of SO2 absorption (1994) (17)
- Estimating the daily pollen concentration in the atmosphere using machine learning and NEXRAD weather radar data (2019) (15)
- Chemical data assimilation: A case study of solar occultation data from the ATLAS 1 mission of the Atmospheric Trace Molecule Spectroscopy Experiment (ATMOS) (2003) (14)
- Diffuse radiation, twilight, and photochemistry — II (1991) (14)
- Box model studies of ClOx deactivation and ozone loss during the 1991/92 northern hemisphere winter (1994) (14)
- Time-series analysis of satellite-derived fine particulate matter pollution and asthma morbidity in Jackson, MS (2019) (14)
- Low‐altitude Terrestrial Spectroscopy from a Pushbroom Sensor (2016) (14)
- Applying Deep Neural Networks and Ensemble Machine Learning Methods to Forecast Airborne Ambrosia Pollen (2019) (13)
- Survey on the estimation of mutual information methods as a measure of dependency versus correlation analysis (2014) (13)
- Trajectory model studies of ClOx activation during the 1991/92 northern hemispheric winter (1994) (13)
- Data assimilation: a powerful tool for atmospheric chemistry (1999) (13)
- Using Remote Control Aerial Vehicles to Study Variability of Airborne Particulates (2015) (12)
- A model study of the potential role of the reaction BrO + OH in the production of stratospheric HBr (1997) (12)
- Solar Heating Rates: The Importance of Spherical Geometry. (1993) (11)
- Holistics 3.0 for Health (2014) (11)
- A three-dimensional model study of nitrogen oxides in the stratosphere (1994) (10)
- Artificial Intelligence in Aerospace (2010) (10)
- Using machine learning to understand the temporal morphology of the PM2.5 annual cycle in East Asia (2019) (10)
- Open-path greenhouse gas sensor for UAV applications (2012) (9)
- Estimation and bias correction of aerosol abundance using data-driven machine learning and remote sensing (2012) (9)
- Data‐Driven Forecasting of Low‐Latitude Ionospheric Total Electron Content Using the Random Forest and LSTM Machine Learning Methods (2021) (9)
- Devices and circuits in CMOS for THz applications (2016) (9)
- Refraction and atmospheric photochemistry (1997) (8)
- Insights Into the Morphology of the East Asia PM2.5 Annual Cycle Provided by Machine Learning (2017) (8)
- The Ignite Distributed Collaborative Scientific Visualization System (2015) (8)
- Representativeness uncertainty in chemical data assimilation highlight mixing barriers (2003) (8)
- Using machine learning to examine the relationship between asthma and absenteeism (2019) (8)
- UV/Vis+ Spectra Data Base (2005) (7)
- Air quality and human health (2012) (7)
- UV/Vis+ photochemistry database: Structure, content and applications (2020) (6)
- Applying machine learning to forecast daily Ambrosia pollen using environmental and NEXRAD parameters (2019) (6)
- Potential importance of the reaction CO + HNO3 (2000) (6)
- Combining domain filling with a self-organizing map to analyze multi-species hydrocarbon signatures on a regional scale (2019) (6)
- Ozone loss in Antarctica: the implications for global change (1992) (6)
- Machine learning in geosciences and remote sensing Geoscience Frontiers (6)
- Specifying the equatorial ionosphere using CINDI on C/NOFS, COSMIC, and data interpolating empirical orthogonal functions (2013) (6)
- Interpretation of satellite retrievals of PM2.5 over the southern African Interior (2016) (6)
- A three-dimensional model study of chemistry in the lower stratosphere (1993) (5)
- Towards identification of relevant variables in the observed aerosol optical depth bias between MODIS and AERONET observations (2013) (5)
- The Neighborhood Scale Variability of Airborne Particulates (2015) (5)
- Machine Learning for Estimating Electron Transfer Rates From Square Wave Voltammetry (2021) (5)
- The BLISS measurements of NO2 - Some new insights (1991) (5)
- Interpretation of nitric oxide profile observed in January 1992 over Kiruna (1996) (5)
- Maximum joint entropy and information-based collaboration of automated learning machines (2011) (4)
- Improvement of a 3D CTM and a 4D variational data assimilation on a vector machine CRAY J90 through a multitasking strategy (2000) (4)
- Three dimensional modelling of chlorine activation in the Arctic stratosphere (1994) (4)
- Atmospheric Pseudohalogen Chemistry (2004) (4)
- Estimation of heterogeneous reaction rates for stratospheric trace gases with particular reference to the diffusional uptake of HCl and ClONO2 by polar stratospheric clouds (1995) (4)
- An Objectively Optimized Earth Observing System (2007) (4)
- The Ignite Distributed Collaborative Visualization System (2015) (4)
- Cloud Detection Using an Ensemble of Pixel-Based Machine Learning Models Incorporating Unsupervised Classification (2021) (3)
- SWIFT - Application of stratospheric wind measurements to process studies and meteorology. Final Report. (2003) (3)
- MODIS Aerosol Optical Depth Bias Adjustment Using Machine Learning Algorithms (2011) (3)
- Complementary metal oxide semiconductor integrated circuits for rotational spectroscopy (2020) (3)
- Autonomous Learning of New Environments with a Robotic Team Employing Hyper-Spectral Remote Sensing, Comprehensive In-Situ Sensing and Machine Learning (2021) (2)
- Data Assimilation and Objectively Optimised Earth Observation (2007) (2)
- Terrestrial Hyperspectral Imaging by Integrating Visible Light Mosaics and a Line-Scan Camera (2013) (2)
- Using Neural Networks for Instrument Cross-Calibration (2007) (2)
- Towards Automated Ecosystem-based Management: A case study of Northern Gulf of Mexico Water (2012) (2)
- PM2.5 Modeling and Historical Reconstruction over the Continental USA Utilizing GOES-16 AOD (2021) (2)
- Thriving in the irregular and the unknown: system control for space exploration (2005) (2)
- BigData and Machine Learning for Public Health (2014) (2)
- Machine Learning for Light Sensor Calibration (2021) (1)
- Diffuse Radiative , bought , and Photochemistry-I (2009) (1)
- High Spatial-Temporal PM2.5 Modeling Utilizing Next Generation Weather Radar (NEXRAD) as a Supplementary Weather Source (2022) (1)
- Changes in Gene Expression in Leaves of Cacao Genotypes Resistant and Susceptible to Phytophthora palmivora Infection (2022) (1)
- Machine Learning for Environmental Sensing (2021) (1)
- Objectively Optimized Earth Observing Systems (2009) (1)
- Assimilation of Real-Time Satellite And Human Sensor Networks for Modeling Natural Disasters (2011) (1)
- Arctic stratosphere (2007) (1)
- Sensitivity of Aerosol Multi-Sensor Daily Data Intercomparison to the Level 3 Dataday Definition (2010) (1)
- 1 Artificial Intelligence in Aerospace (2012) (0)
- Characterizing Urban Air Quality to Provide Actionable Information (2017) (0)
- Bias Correction of high resolution MODIS Aerosol Optical Depth in urban areas using the Dragon AERONET Network (2013) (0)
- Linking NASA Data with Environmental Exposures and Health Outcomes in Theater of War (2012) (0)
- Health applications of global aerosol and air quality observations (2007) (0)
- Machine Learning Estimation of Pollen Abundance Using Landsat and Meteorological Data (2018) (0)
- Optimized Earth Observing Systems (2018) (0)
- Objectively Optimized Observation Direction System Providing Situational Awareness for a Sensor Web (2010) (0)
- Interactive comment on “ Atmospheric pseudohalogen chemistry ” by D . J . (2004) (0)
- Sequential Assimilation of Satellite Data In A 3d Chemical Model (2002) (0)
- Keynote) Devices in CMOS for Terahertz Circuits and Systems (2017) (0)
- Using Kalman Filter Chemical Data Assimilation to Study Ozone Catalytic Loss Cycles in January 1992 (2002) (0)
- Stratosphere-Troposphere Exchange of Ozone Observed by Data Assimilation (1998) (0)
- Using machine learning to estimate atmospheric pollen concentrations in Tulsa, OK (2017) (0)
- Terrestrial imaging from visible light mosaics and a line-scan hyperspectral sensor (2013) (0)
- Nserc Strategic Network " Smart Applications on Virtual Infrastructure " Nfv in Savi Sdi and Vino (virtual Network Overlay) 2:45 Pm Savi/geni Federation: Joint Geni/savi Experiment 4:30 Pm Big Data Using Sahara and Spark (2015) (0)
- Decoding Physical and Cognitive Impacts of Particulate Matter Concentrations at Ultra-Fine Scales (2022) (0)
- Using Model Helicopters for Meteorological Observations in Support of Tornado Forecasting (2012) (0)
- Artiicial Intelligence in Geoscience and Remote Sensing (2017) (0)
- Fugitive greenhouse gas emissions from shale gas activities - a case study of Dish, TX (2012) (0)
- An Aerial ``Sniffer Dog'' for Methane (2012) (0)
- Insights Into the Morphology of the East Asia PM 2 (2017) (0)
- Interactive comment on “ Halogens and the chemistry of the free troposphere ” by D . J . Lary (2004) (0)
- Working notes on a developmental approach to autonomous spacecraft and the recovery of the Hubble Space Telescope (2005) (0)
- High Spatial Resolution Size Resolved Aerosol Observations on both the Neighborhood Scale and from a UAV in the Lowermost Boundary Layer (2015) (0)
- Cyber Physical Intelligence for Oil Spills (CPI) (2015) (0)
- 19 Objectively Optimized Earth Observing Systems (2012) (0)
- Decoding Physical and Cognitive Impacts of PM Concentrations at Ultra- ne Scales (2022) (0)
- Decoding Physical and Cognitive Impacts of PM Concentrations at Ultra- ne Scales (2022) (0)
- A New Asymptotic Method for Non-Coincident Satellite Data Validation (2006) (0)
- Advanced Metrics for Assessing Holistic Care: The “Epidaurus 2” Project (2018) (0)
- Building Structure-Property Predictive Models Using Data Assimilation (2006) (0)
- Autonomous Objectively Optimized Observing Systems (2007) (0)
- Identifying Hydrocarbon Source Region Emission Signatures for Oil and Gas Facilities and Beyond Using Ambient Concentration Measurements (2014) (0)
- Kalman Filter Chemical Data Assimilation: A Case Study in January 1992 (2002) (0)
- The First Multi-Constituent Kalman Filter Analysis of Atmospheric Chemistry from 1991-2007 (2007) (0)
- Author Proof Low-altitude Terrestrial Spectroscopy from a Pushbroom (2015) (0)
- Modeling Autonomic Pupillary Responses from External Stimuli using Machine Learning (2019) (0)
- PV-Theta Mapping of AURA MLS Profile Data (2006) (0)
- Data-Driven EEG Band Discovery with Decision Trees (2022) (0)
This paper list is powered by the following services:
Other Resources About David Lary
What Schools Are Affiliated With David Lary?
David Lary is affiliated with the following schools:
