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Articles 1 - 30 of 110
Full-Text Articles in Oceanography and Atmospheric Sciences and Meteorology
Spatial Heterogeneity And Temporal Trends Of California Extreme Heat Using High-Resolution Earth System Model Simulations, Eleni Konstantelos
Spatial Heterogeneity And Temporal Trends Of California Extreme Heat Using High-Resolution Earth System Model Simulations, Eleni Konstantelos
Master's Theses
Extreme heat threatens California’s diverse landscapes and populations through intensifying and geographically shifting patterns. This study examined the temporal trend and spatial heterogeneities of California’s extreme heat for 1994–2015. The analysis was based on the fully coupled Energy Exascale Earth System Model version 2 (E3SMv2), specifically its 25-km regionally refined configuration. While the Desert/Inland region exhibited the highest number of days ≥ 35 °C and the highest heatwave severity, Central Valley showed the fastest increase in the number of days ≥ 35 °C and heatwave events, as well as the fastest increases of days exceeding various heat index thresholds over …
Climatology Of Northeast Winds In Northern And Central California: A New Characterization Of The Diablo Wind, Alana R. Macken
Climatology Of Northeast Winds In Northern And Central California: A New Characterization Of The Diablo Wind, Alana R. Macken
Master's Theses
Diablo winds in northern California are known for driving some of the most destructive wildfires in state history. The Camp Fire of 2018, which caused at least 85 civilian fatalities, is just one example of the devastating outcomes associated with these rapidly developing downslope windstorms. While they are known to occur most frequently from fall through spring, much about the structure, evolution, and full spatial extent of these events remains poorly understood. Most previous studies have focused on a limited number of high-impact cases or have defined events using humidity-based thresholds in isolated regions such as the North Bay. As …
Evaluation Of Windninja Simulations In Canyons And Complex Terrain, Marc Buchs
Evaluation Of Windninja Simulations In Canyons And Complex Terrain, Marc Buchs
Master's Theses
This study describes a validation of the surface wind model WindNinja conducted over different types of complex terrain. WindNinja is one of many software tools first responders use to better understand wind flow over such terrain. One approach to receive a higher resolution wind field to account for local terrain effects is to downscale numerical weather prediction model output with the help of WindNinja. 2 km resolution Weather Research and Forecasting model (WRF) output was used as input for our WindNinja simulations. We tested the surface wind model for two case sites in California characterized by canyons of different terrain …
Interactions Between A High Intensity Wildfire And An Atmopsheric Hydraulic Jump In The Case Of The 2023 Lahaina Fire, Clifford Dw Ehrke
Interactions Between A High Intensity Wildfire And An Atmopsheric Hydraulic Jump In The Case Of The 2023 Lahaina Fire, Clifford Dw Ehrke
Master's Theses
On 8 August 2023, a grass fire that started in the city of Lahaina, Hawai’i, grew into the deadliest wildfire in the United States since 1918. This wildfire offers a unique opportunity to explore the impact of high heat output on an atmospheric hydraulic jump and a downslope wind event. We conducted two WRF-SFIRE simulations to investigate these effects: one incorporating fire–atmosphere feedback and the other without it. We compare these WRF-SFIRE simulations to all available data regarding the fire event, including high resolution satellite data, weather station data from other parts of Maui and the Hawaiian Archipelago, and official …
Analyzing Live And Dead Fuel Moisture In California: Insights For Wildfire Management Decisions, Jack R. Drucker
Analyzing Live And Dead Fuel Moisture In California: Insights For Wildfire Management Decisions, Jack R. Drucker
Master's Theses
This study investigates trends in fuel moisture content (FMC) across California from 2000 to 2021. It utilizes two distinct sources of FMC data: the Fuel Moisture Repository, which integrates live fuel moisture content (LFMC) observations, and a novel dead fuel moisture content (DFMC) reanalysis product which provides spatial fuel moisture maps by integrating dead fuel moisture observations and a fuel moisture model driven by gridded weather data. The analysis uncovered a general downtrend in FMC across California, with the exception of LFMC in the Northernmost regions and coarse DFMC. Despite the differing long-term FMC trends, all the regions experienced a …
Remote Sensing With Airborne Infrared Thermography For Assessment Of Landscape Scale Wildfire Spread And Intensity, Christopher C. Giesige
Remote Sensing With Airborne Infrared Thermography For Assessment Of Landscape Scale Wildfire Spread And Intensity, Christopher C. Giesige
Master's Theses
Wildland fire is one of the most complex environmental physical processes to quantify. The way in which we observe and measure wildland fire is critical in understanding how these processes drive fire dynamics. Fire behavior can be observed in several ways including the use of ground sensors and remote sensing packages aboard aircraft and satellites. Airborne sensors provide high spatial resolution and can provide high temporal resolution. Infrared thermography takes advantage of radiant heat transfer allowing for the study of fire characteristics such as fire spread and intensity. Aircraft observations utilizing infrared cameras have been a well-established method of fire …
Spatio-Temporal Analysis Of The Roadside Transportation-Related Air Quality (Startraq 2022): Data-Driven Exposure Analysis By Transportation Modes, Jaymin Kwon, Yushin Ahn, Steve Chung
Spatio-Temporal Analysis Of The Roadside Transportation-Related Air Quality (Startraq 2022): Data-Driven Exposure Analysis By Transportation Modes, Jaymin Kwon, Yushin Ahn, Steve Chung
Mineta Transportation Institute
Particulate matter (PM) pollution poses significant health risks, influenced by various meteorological factors and seasonal variations. This study investigates the impact of temperature and other meteorological variables on PM10 and PM2.5 levels in Fresno County, known for high air pollution. Multiple linear regression (MLR) and generalized additive models (GAMs) assess the significance of these relationships. Analyzing data from Fresno County, we examine PM10 and PM2.5 levels across "hot" (June to August) and "cool" (September to May) seasons. Findings indicate PM10, both MLR and GAM models identify statistically significant variables, excluding temperature and wind direction in each season. However, during the …
Cirrus Microphysical Properties And The Controlling Factors Using A Machine Learning Approach, Derek D. Ngo
Cirrus Microphysical Properties And The Controlling Factors Using A Machine Learning Approach, Derek D. Ngo
Master's Theses
Cirrus clouds are located at high altitudes and are composed of ice crystals. The unique location of cirrus clouds and their large variability in-cloud microphysical properties allow them to have either warming or cooling effects on Earth’s surface and affect the Earth’s energy budget on a global scale. The examination of cirrus radiative effects is further complicated by multiple factors affecting their formation and evolution, including the effects of thermodynamic, dynamic, aerosol, and chemical tracer variables. In this work, we developed a composite aircraft-based in-situ observation dataset based on seven National Science Foundation (NSF) and five NASA flight campaigns that …
Impacts Of Synoptic-Scale Dynamics On Cloud Properties And Radiation In High Southern Latitudes, Tyler R. Barone
Impacts Of Synoptic-Scale Dynamics On Cloud Properties And Radiation In High Southern Latitudes, Tyler R. Barone
Master's Theses
Predicting future climate change relies on accurate representations of the earth’s surface radiation budget. Complex interactions between large-scale dynamical conditions (e.g., low-pressure systems) and microscale processes (e.g., cloud properties) are key contributors to energy budget biases within global climate models. Proper estimation of cloud microscale processes and their responses to synoptic-scale dynamics will greatly improve the accuracy of the simulated energy balance within global climate models. High-latitudinal clouds have significant influences on the Earth’s radiative balance. We examined observations from two field campaigns at Macquarie Island in the Southern Ocean and McMurdo Station in Antarctica. Two global climate models are …
Daily Synoptic-Scale Influences On Weather-Dependent Renewable Energy Supply And Demand In Hypothetical Fully Electrified North American Interconnections, Howard Tang
Master's Theses
Energy grids around the world are becoming increasingly penetrated by renewable energy sources, resulting in progressively variable energy generation. This study aims to provide a fundamental basis for observing atmospheric conditions in relation to weather-dependent renewable energy supply, where daily synoptic-scale influences are considered in hypothetical fully electrified North American interconnections. Three renewable energy types – 100% wind energy, 100% solar energy, and a 50-50 split of wind and solar energy – are scaled to meet weather-driven energy demand on average in three interconnections, namely the Western Interconnection, the Eastern Interconnection, and a hypothetical combined interconnection composed of the Western, …
Cloud Phase Distribution At A Global-Scale And The Governing Factors Using Satellite And In-Situ Airborne Observations, Dao Wang
Master's Theses
Cloud thermodynamic phase distributions play a crucial role in accurately representing cloud radiative effects and feedback in a changing climate. The partitioning of cloud thermodynamic phases (ice, liquid, and mixed phase) significantly influences Earth's surface temperature and its ability to mitigate the impact of global warming. Satellite-based cloud phase data are frequently used for the evaluation of global climate models, yet validation of them against in-situ observations is still lacking. This study examines global cloud phase distributions and their determinant factors by validating three satellite-based cloud phase products against an extensive in-situ airborne dataset. CALIPSO exhibits the most similar ice …
Multifidelity Prediction In Wildfire Spread Simulation: Modeling, Uncertainty Quantification And Sensitivity Analysis, Mario Miguel Valero, Lluís Jofre, Ricardo Torres
Multifidelity Prediction In Wildfire Spread Simulation: Modeling, Uncertainty Quantification And Sensitivity Analysis, Mario Miguel Valero, Lluís Jofre, Ricardo Torres
Faculty Research, Scholarly, and Creative Activity
Wildfire behavior predictions typically suffer from significant uncertainty. However, wildfire modeling uncertainties remain largely unquantified in the literature, mainly due to computing constraints. New multifidelity techniques provide a promising opportunity to overcome these limitations. Therefore, this paper explores the applicability of multifidelity approaches to wildland fire spread prediction problems. Using a canonical simulation scenario, we assessed the performance of control variates Monte-Carlo (MC) and multilevel MC strategies, achieving speedups of up to 100x in comparison to a standard MC method. This improvement was leveraged to quantify aleatoric uncertainties and analyze the sensitivity of the fire rate of spread (RoS) to …
Bibliometric Review Of Monsoon Rainfall Prediction Models: With Special Reference To Use Of Artificial Intelligence In Rainfall Prediction, Shilpa Manoj Hudnurkar, Neela Rayavarapu Dr.
Bibliometric Review Of Monsoon Rainfall Prediction Models: With Special Reference To Use Of Artificial Intelligence In Rainfall Prediction, Shilpa Manoj Hudnurkar, Neela Rayavarapu Dr.
Library Philosophy and Practice (e-journal)
Rainfall is a result of several complex atmospheric processes making it challenging to predict. For countries whose economy is dominated by agricultural sector, accurate rainfall prediction is highly essential. A huge network of weather stations is spread across the globe for the observation of meteorological parameters. These generate vast amounts of data which can be used to accurately predict the weather. This necessitates the use better tools such as various artificially intelligent algorithms. This study aims to explore global research trends in monsoon rainfall prediction techniques using Artificial Intelligence (AI) and Artificial Neural Networks (ANN). Scopus database has been used …
The Role Of Climate Change Education On Individual Lifetime Carbon Emissions, Eugene Cordero, Diana Centeno Delgado, Anne Marie Todd
The Role Of Climate Change Education On Individual Lifetime Carbon Emissions, Eugene Cordero, Diana Centeno Delgado, Anne Marie Todd
Faculty Publications
Strategies to mitigate climate change often center on clean technologies, such as electric vehicles and solar panels, while the mitigation potential of a quality educational experience is rarely discussed. In this paper, we investigate the long-term impact that an intensive one year university course had on individual carbon emissions by surveying students at least five years after having taken the course. A majority of course graduates reported pro-environmental decisions (i.e., type of car to buy, food choices) that they attributed at least in part to experiences gained in the course. Furthermore, our carbon footprint analysis suggests that for the average …
Near-Bottom Currents At Station M In The Northeast Pacific, Thomas Connolly, Paul Mcgill, Richard Henthorn, Drew Burrier, Cynthia Michaud
Near-Bottom Currents At Station M In The Northeast Pacific, Thomas Connolly, Paul Mcgill, Richard Henthorn, Drew Burrier, Cynthia Michaud
Faculty Research, Scholarly, and Creative Activity
No abstract provided.
A Case Study Of Stratospheric Ozone Transport To The Northern San Francisco Bay Area And Sacramento Valley During Cabots 2016, Jodie Clark, Sen Chiao
A Case Study Of Stratospheric Ozone Transport To The Northern San Francisco Bay Area And Sacramento Valley During Cabots 2016, Jodie Clark, Sen Chiao
Faculty Research, Scholarly, and Creative Activity
The California Baseline Ozone Transport Study (CABOTS) was a major air quality study that collected ozone measurements aloft between mid-May and mid-August of 2016. Aircraft measurements, ground-based lidar measurements, and balloon-borne ozonesondes collected precise upper-air ozone measurements across the central and Southern California valley. Utilizing daily ozonesonde data from Bodega Bay, California, and Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), reanalysis data for 25 July to 14 August 2016, three stratospheric intrusion events are identified over Northern California influencing air masses above Bodega Bay and Sacramento simultaneously. Calculated percent daily changes in afternoon ozonesonde observations indicate increasing …
The Intensification Of Hurricane Maria 2017 In The Antilles, Mark Jury, Sen Chiao, Raphael Cécé
The Intensification Of Hurricane Maria 2017 In The Antilles, Mark Jury, Sen Chiao, Raphael Cécé
Faculty Publications, Meteorology and Climate Science
Environmental influences on Hurricane Maria in the Antilles Islands are analyzed at the large-scale (1–25 September) and at the meso-scale (17–20 September 2017). The storm intensified rapidly prior to landfall in Dominica, going from category 1 to 5 in 15 h. As the storm progressed toward Puerto Rico (PR), its NE flank entrained air from seas cooled by the earlier passage of two hurricanes, and strengthened on its SW flank. Operational model forecasts tended to delay intensification until west of the Antilles Islands, thus motivating two independent weather research and forecasting (WRF) simulations. These gave minimal track errors at 1- …
Developing Spatially Accurate Rainfall Predictions For The San Francisco Bay Area Through Case Studies Of Atmospheric River And Other Synoptic Events, Alison Bridger, Dung Nguyen, Sen Chiao
Developing Spatially Accurate Rainfall Predictions For The San Francisco Bay Area Through Case Studies Of Atmospheric River And Other Synoptic Events, Alison Bridger, Dung Nguyen, Sen Chiao
Faculty Publications, Meteorology and Climate Science
Rainfall patterns in the San Francisco Bay Area (SFBA) are highly influenced by local topography. It has been a forecasting challenge for the main US forecast models. This study investigates the ability of the Weather Research and Forecasting (WRF) model to improve upon forecasts, with particular emphasis on the rain shadow common to the southern end of the SFBA. Three rain events were evaluated: a mid-season atmospheric river (AR) event with copious rains; a typical non-AR frontal passage rain event; and an area-wide rain event in which zero rain was recorded in the southern SFBA. The results show that, with …
Comparison Of Simulations Of Updraft Mass Fluxes And Their Response To Increasing Aerosol Concentration Between A Bin Scheme And A Bulk Scheme In A Deep-Convective Cloud System, Seoung Soo Lee, Chang-Hoon Jung, Sen Chiao, Junshik Um, Yong-Sang Choi, Won Jun Choi
Comparison Of Simulations Of Updraft Mass Fluxes And Their Response To Increasing Aerosol Concentration Between A Bin Scheme And A Bulk Scheme In A Deep-Convective Cloud System, Seoung Soo Lee, Chang-Hoon Jung, Sen Chiao, Junshik Um, Yong-Sang Choi, Won Jun Choi
Faculty Publications, Meteorology and Climate Science
Key microphysical processes whose parameterizations have substantial impacts on the simulation of updraft mass fluxes and their response to aerosol are investigated in this study. For this investigation, comparisons of these parameterizations are made between a bin scheme and a bulk scheme. These comparisons show that the differences in the prediction of cloud droplet number concentration (CDNC) between the two schemes determine whether aerosol-induced invigoration of updrafts or convection occurs. While the CDNC prediction leads to aerosol-induced invigoration of updrafts and an associated 20% increase in the peak value of the updraft-mass-flux vertical profile in the bin scheme, it leads …
Asian Long-Range Transport In Relation To Atmospheric Rivers In Northern California, Catherine Liu, Sen Chiao, Ju-Mee Ryoo
Asian Long-Range Transport In Relation To Atmospheric Rivers In Northern California, Catherine Liu, Sen Chiao, Ju-Mee Ryoo
Faculty Publications, Meteorology and Climate Science
The study investigates the effect of aerosol long-range transport on precipitation over Northern California during atmospheric river (AR) events in the 2017 cold season (January–April). ARs in 2017 were one of the strongest to date, and the intense precipitation associated with the ARs resulted in flooding, destruction of property, and contamination of water supplies. The Aerosol Optical Depth (AOD) from Moderate Resolution Imaging Spectroradiometer (MODIS) data shows Asian dust traveling across the Northern Pacific Ocean along with AR events. Aerosol measurements in California, provided by the Interagency Monitoring of Protected Visual Environments (IMPROVE), show that more Asian dust tends to …
Physical Factors Influencing Phytoplankton Abundance In Southern Monterey Bay, C. Ryan Manzer, Thomas Connolly, Erika Mcphee-Shaw, G. Smith
Physical Factors Influencing Phytoplankton Abundance In Southern Monterey Bay, C. Ryan Manzer, Thomas Connolly, Erika Mcphee-Shaw, G. Smith
Faculty Research, Scholarly, and Creative Activity
As the base of almost all marine food webs, phytoplankton play a dominant role in determining the productivity of marine ecosystems. Recent studies have highlighted the dynamic variability of phytoplankton abundance in nearshore ecosystems over synoptic time scales. Therefore, a greater understanding of the physical mechanisms that contribute to this variability is required to assess impacts of current as well as future weather patterns on these ecosystems. In this study, chlorophyll fluorescence data from a nearshore location in southern Monterey Bay was used to identify the timing and duration of increases in phytoplankton concentrations. Regional physical parameters, including wind stress, …
Cloud Phase And Relative Humidity Distributions Over The Southern Ocean In Austral Summer Based On In Situ Observations And Cam5 Simulations, John D’Alessandro, Minghui Diao, Chenglai Wu, Xiaohong Liu, Jorgen Jensen, Britton Stephens
Cloud Phase And Relative Humidity Distributions Over The Southern Ocean In Austral Summer Based On In Situ Observations And Cam5 Simulations, John D’Alessandro, Minghui Diao, Chenglai Wu, Xiaohong Liu, Jorgen Jensen, Britton Stephens
Faculty Publications, Meteorology and Climate Science
Cloud phase and relative humidity (RH) distributions at -67°–0°C over the Southern Ocean during austral summer are compared between in situ airborne observations and global climate simulations. A scale-aware comparison is conducted using horizontally averaged observations from 0.1–50 km. Cloud phase frequencies, RH distributions and liquid mass fraction are found less affected by horizontal resolutions than liquid and ice water content (LWC, IWC), liquid and ice number concentrations (Ncliq, Ncice), and ice supersaturation (ISS) frequency. At -10°–0°C, observations show 27%–34% and 17%–37% of liquid and mixed phases, while simulations show 60%–70% and 3%–4%, respectively. Simulations overestimate (underestimate) LWC and Ncliq …
Numerical Investigations Of Atmospheric Rivers And The Rain Shadow Over The Santa Clara Valley, Dalton Behringer, Sen Chiao
Numerical Investigations Of Atmospheric Rivers And The Rain Shadow Over The Santa Clara Valley, Dalton Behringer, Sen Chiao
Faculty Publications, Meteorology and Climate Science
This study investigated precipitation distribution patterns in association with atmospheric rivers (ARs). The Weather Research and Forecasting (WRF) model was employed to simulate two strong atmospheric river events. The precipitation forecasts were highly sensitive to cloud microphysics parameterization schemes. Thus, radar observed and simulated ZH and ZDR were evaluated to provide information about the drop-size distribution (DSD). Four microphysics schemes (WSM-5, WSM-6, Thompson, and WDM-6) with nested simulations (3 km, 1 km, and 1/3 km) were conducted. One of the events mostly contained bright-band (BB) rainfall and lasted less than 24 h, while the other contained both BB and non-bright-band …
The Fire And Smoke Model Evaluation Experiment—A Plan For Integrated, Large Fire–Atmosphere Field Campaigns, Susan Prichard, N. Sim Larkin, Roger Ottmar, Nancy H.F. French, Kirk Baker, Tim Brown, Craig B. Clements, Matt Dickinson, Andrew Hudak, Adam Kochanski, Rod Linn, Yongqiang Liu, Brian Potter, William Mell, Danielle Tanzer, Shawn Urbanski, Adam Watts
The Fire And Smoke Model Evaluation Experiment—A Plan For Integrated, Large Fire–Atmosphere Field Campaigns, Susan Prichard, N. Sim Larkin, Roger Ottmar, Nancy H.F. French, Kirk Baker, Tim Brown, Craig B. Clements, Matt Dickinson, Andrew Hudak, Adam Kochanski, Rod Linn, Yongqiang Liu, Brian Potter, William Mell, Danielle Tanzer, Shawn Urbanski, Adam Watts
Faculty Publications, Meteorology and Climate Science
The Fire and Smoke Model Evaluation Experiment (FASMEE) is designed to collect integrated observations from large wildland fires and provide evaluation datasets for new models and operational systems. Wildland fire, smoke dispersion, and atmospheric chemistry models have become more sophisticated, and next-generation operational models will require evaluation datasets that are coordinated and comprehensive for their evaluation and advancement. Integrated measurements are required, including ground-based observations of fuels and fire behavior, estimates of fire-emitted heat and emissions fluxes, and observations of near-source micrometeorology, plume properties, smoke dispersion, and atmospheric chemistry. To address these requirements the FASMEE campaign design includes a study …
Applications Of Satellite Data In Analyses Of Surface Pm2.5, Minghui Diao, Frank R. Freedman, Sen Chiao, Isa Cruz, Ana Rivera, Mohammad Z. Al-Hamdan, Akula Venkatram
Applications Of Satellite Data In Analyses Of Surface Pm2.5, Minghui Diao, Frank R. Freedman, Sen Chiao, Isa Cruz, Ana Rivera, Mohammad Z. Al-Hamdan, Akula Venkatram
Faculty Publications, Meteorology and Climate Science
Fine particulate is among the most harmful air pollutants for human health. There is ongoing interest in developing reliable methods to estimate PM2.5 concentrations 1) at unmonitored locations and 2) at finer horizontal resolution for improved health risk assessment and public health tracking.We aim to develop an efficient system that can reliably estimate PM2.5 at unmonitored locations and at finer horizontal resolution at important locations.• MODIS aerosol optical depth (AOD) provides an input for particulate levels at unmonitored locations in methods used to construct regional PM2.5 fields.• Dispersion model fields can be fused into portions of these regional fields for …
Air Quality And Health Burden Of 2017 Northern California Wildfires, Susan O’Neill, Minghui Diao
Air Quality And Health Burden Of 2017 Northern California Wildfires, Susan O’Neill, Minghui Diao
Faculty Publications, Meteorology and Climate Science
No abstract provided.
Gelatinous Zooplankton Abundance And Benthic Boundary Layer Currents In The Abyssal Northeast Pacific: A 3-Yr Time Series Study, Kenneth Smith, Christine Huffard, Paul Mcgill, Alana Sherman, Thomas Connolly, Susan Von Thun, Linda Kuhnz
Gelatinous Zooplankton Abundance And Benthic Boundary Layer Currents In The Abyssal Northeast Pacific: A 3-Yr Time Series Study, Kenneth Smith, Christine Huffard, Paul Mcgill, Alana Sherman, Thomas Connolly, Susan Von Thun, Linda Kuhnz
Faculty Research, Scholarly, and Creative Activity
Gelatinous zooplankton are prominent fauna in the deep ocean, especially in the water column associated with the sea floor. This interface zone, the benthic boundary layer, is critical to biogeochemical exchanges between pelagic and benthic communities. A conspicuous member of this benthic boundary layer community in the abyssal Northeast Pacific (Sta. M; 4000 m depth) is the hydrozoan medusa, Benthocodon pedunculata. A 3-year time-series study was conducted of B. pedunculata from October 2014 to November 2017 using an autonomous time-lapse camera system and acoustic current meter deployed on the sea floor. Remotely operated vehicle benthic video transects and collections were …
Calibration Of The Vertical Cavity Surface Emitting Laser (Vcsel) Water Vapor Hydrometer, Minghui Diao
Calibration Of The Vertical Cavity Surface Emitting Laser (Vcsel) Water Vapor Hydrometer, Minghui Diao
Faculty Publications, Meteorology and Climate Science
No abstract provided.
Using Satellite-Derived Pm2.5 Dataset To Assist Air Pollution Management In California, Minghui Diao, Frank Freedman, Sen Chiao, Ana Rivera
Using Satellite-Derived Pm2.5 Dataset To Assist Air Pollution Management In California, Minghui Diao, Frank Freedman, Sen Chiao, Ana Rivera
Faculty Publications, Meteorology and Climate Science
No abstract provided.
Scientometric Study Of Research Productivity Of Aries, Nainital, Satish Kumar
Scientometric Study Of Research Productivity Of Aries, Nainital, Satish Kumar
Library Philosophy and Practice (e-journal)
This paper describes scientometric study of research productivity of Scientists of Aryabhatta Research Institute of Observational Sciences (ARIES), Nainital. The purpose of this study is to evaluate the research performance of ARIES, Nainital. For this study, the data is collected from Web of Science (WoS) bibliographical database for the period of 15 years from 2001-2015 and analyzed. 574 research paper has been published over 15 years of time in which 510 research publications are in referred journals and 64 research publications are in conferences, symposiums, bulletins etc. This paper identifies the scientists of ARIES those are active; the areas in …