What is he best known for?
The fields of study he is best known for:
- Statistics
- Atmospheric sciences
- Ozone
Ozone, Air quality index, Environmental science, NOx and Nitrogen oxide are his primary areas of study.
Steven E. Peckham has included themes like Trace gas, Radiative forcing and Forcing in his Ozone study.
His Air quality index research is multidisciplinary, incorporating elements of Statistics, Analysis of variance and Correlation coefficient.
You can notice a mix of various disciplines of study, such as Severe weather, Climatology, North American Mesoscale Model, Rapid update cycle and Aviation, in his Environmental science studies.
His NOx study spans across into areas like Atmospheric sciences, Pollution, Nitrogen dioxide, Electricity generation and Sulfur dioxide.
His Nitrogen oxide research overlaps with other disciplines such as Power station, Emission inventory and Panache.
His most cited work include:
- Fully coupled “online” chemistry within the WRF model (1795 citations)
- Evolution of ozone, particulates, and aerosol direct radiative forcing in the vicinity of Houston using a fully coupled meteorology‐chemistry‐aerosol model (605 citations)
- Evolution of ozone, particulates, and aerosol direct radiative forcing in the vicinity of Houston using a fully coupled meteorology‐chemistry‐aerosol model (605 citations)
What are the main themes of his work throughout his whole career to date?
Steven E. Peckham mostly deals with Air quality index, Environmental science, Weather Research and Forecasting Model, Ozone and Aerosol.
His research in Air quality index intersects with topics in Mean squared error, Forecast skill and Diurnal cycle.
His biological study spans a wide range of topics, including Computer simulation and Linear regression.
His Weather Research and Forecasting Model research is multidisciplinary, incorporating perspectives in CMAQ, Data assimilation, MM5 and Atmospheric chemistry.
Steven E. Peckham works mostly in the field of Ozone, limiting it down to topics relating to Emission inventory and, in certain cases, Sampling, as a part of the same area of interest.
His research is interdisciplinary, bridging the disciplines of Remote sensing and Aerosol.
He most often published in these fields:
- Air quality index (88.52%)
- Environmental science (73.77%)
- Weather Research and Forecasting Model (49.18%)
What were the highlights of his more recent work (between 2014-2020)?
- Weather Research and Forecasting Model (49.18%)
- Environmental science (73.77%)
- Rapid Refresh (4.92%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Weather Research and Forecasting Model, Environmental science, Rapid Refresh, Smoke and Operations research.
To a larger extent, he studies Climatology with the aim of understanding Weather Research and Forecasting Model.
Steven E. Peckham integrates many fields in his works, including Environmental science, Characterization, Aerosol, Remote sensing, Event and Beijing.
As part of his studies on Smoke, Steven E. Peckham often connects relevant areas like Air quality index.
His Operations research research includes elements of Operational forecasting, Mathematical model, Weather forecasting and Atmospheric chemistry.
His Operational forecasting study deals with Systems engineering intersecting with Atmospheric simulation, Numerical weather prediction models and Earth system modeling.
Between 2014 and 2020, his most popular works were:
- A North American Hourly Assimilation and Model Forecast Cycle: The Rapid Refresh (421 citations)
- The Weather Research and Forecasting Model: Overview, System Efforts, and Future Directions (313 citations)
- The Earth System Prediction Suite: Toward a Coordinated U.S. Modeling Capability (33 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Oceanography
- Climatology
The scientist’s investigation covers issues in Systems engineering, Weather Research and Forecasting Model, Community model, Implementation and Atmospheric simulation.
His Systems engineering research spans across into subjects like Metadata, Data mining, Application programming interface, Suite and Data integration.
His research links Data assimilation with Weather Research and Forecasting Model.
His Community model research spans across into areas like Operational forecasting, Numerical weather prediction models, Earth system modeling and Operations research.
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