What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Electron
- Statistics
His primary scientific interests are in Climatology, Meteorology, Atmosphere, Data assimilation and Sea surface temperature.
His Climatology research is multidisciplinary, incorporating perspectives in Climate model and Upwelling.
David L. T. Anderson has researched Meteorology in several fields, including Computer simulation and Predictability.
David L. T. Anderson has included themes like Spurious relationship, Trend surface analysis, Salinity and Wind direction in his Data assimilation study.
His study looks at the intersection of Sea surface temperature and topics like Convection with Baroclinity and Wind stress.
His Baroclinity research is multidisciplinary, incorporating elements of Atmospheric sciences and Ocean current.
His most cited work include:
- The prospects for seasonal forecasting—A review paper (322 citations)
- The ECMWF Ocean Analysis System: ORA-S3 (273 citations)
- Gigahertz quantized charge pumping (263 citations)
What are the main themes of his work throughout his whole career to date?
David L. T. Anderson mainly investigates Climatology, Meteorology, Data assimilation, Sea surface temperature and Optoelectronics.
His Climatology study combines topics from a wide range of disciplines, such as Altimeter, Predictability and Sea level.
The Meteorology study combines topics in areas such as Thermocline, Ocean current and Forcing.
David L. T. Anderson combines subjects such as Tropical pacific and Bathythermograph with his study of Data assimilation.
The Quantum dot research David L. T. Anderson does as part of his general Optoelectronics study is frequently linked to other disciplines of science, such as Quantum computer, therefore creating a link between diverse domains of science.
His Atmosphere study also includes
- Wind stress together with Baroclinity,
- Atmospheric sciences and related Amplitude.
He most often published in these fields:
- Climatology (55.47%)
- Meteorology (29.69%)
- Data assimilation (17.19%)
What were the highlights of his more recent work (between 2009-2018)?
- Optoelectronics (13.28%)
- Climatology (55.47%)
- Nanotechnology (10.16%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Optoelectronics, Climatology, Nanotechnology, Meteorology and Resist.
His work in the fields of Optoelectronics, such as Quantum dot and Electrical measurements, overlaps with other areas such as Tungsten.
David L. T. Anderson interconnects Tropical pacific, Univariate, Indian ocean, Predictability and Atmospheric model in the investigation of issues within Climatology.
His studies in Predictability integrate themes in fields like Anomaly and Data assimilation.
His work on Nanowire as part of general Nanotechnology research is frequently linked to Reduction, bridging the gap between disciplines.
His Forecast skill, Sea surface temperature, Indian Ocean Dipole and Stratosphere study in the realm of Meteorology connects with subjects such as Initialization.
Between 2009 and 2018, his most popular works were:
- ECMWF seasonal forecast system 3 and its prediction of sea surface temperature (120 citations)
- Charge and spin state readout of a double quantum dot coupled to a resonator. (116 citations)
- How Predictable is the Indian Ocean Dipole (77 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Statistics
- Electron
His primary areas of investigation include Meteorology, Climatology, Optoelectronics, Quantum dot and Forecast skill.
His Meteorology research integrates issues from Sea level and Predictability.
His study on Climatology is mostly dedicated to connecting different topics, such as Data assimilation.
His studies in Optoelectronics integrate themes in fields like Excitation and Single layer.
His study in Quantum dot is interdisciplinary in nature, drawing from both Charge, Mesoscopic physics, Electrometer and Photoluminescence.
David L. T. Anderson combines subjects such as El Niño Southern Oscillation, Ensemble prediction, Spring season and Atmospheric model with his study of Forecast skill.
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