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.
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
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.
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.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The prospects for seasonal forecasting—A review paper
T. N. Palmer;D. L. T. Anderson.
Quarterly Journal of the Royal Meteorological Society (1994)
Gigahertz quantized charge pumping
M. D. Blumenthal;M. D. Blumenthal;B. Kaestner;B. Kaestner;L. Li;L. Li;S. Giblin.
Nature Physics (2007)
Global seasonal rainfall forecasts using a coupled ocean–atmosphere model
T. N. Stockdale;D. L. T. Anderson;J. O. S. Alves;M. A. Balmaseda.
The ECMWF Ocean Analysis System: ORA-S3
Magdalena A. Balmaseda;Arthur Vidard;David L. T. Anderson.
Monthly Weather Review (2007)
Spin-up of a stratified ocean, with applications to upwelling
David L.T. Anderson;A.E. Gill.
Deep Sea Research and Oceanographic Abstracts (1975)
Three- and Four-Dimensional Variational Assimilation with a General Circulation Model of the Tropical Pacific Ocean. Part I: Formulation, Internal Diagnostics, and Consistency Checks
A. T. Weaver;J. Vialard;D. L. T. Anderson.
Monthly Weather Review (2003)
Decadal and Seasonal Dependence of ENSO Prediction Skill
Magdalena A. Balmaseda;Michael K. Davey;David L. T. Anderson.
Journal of Climate (1995)
Scatterometer Data Interpretation: Measurement Space and Inversion
Ad Stoffelen;David Anderson.
Journal of Atmospheric and Oceanic Technology (1997)
Dynamics of the Eastern Surface Jets in the Equatorial Indian Ocean
Weiqing Han;Julian P. McCreary;D. L. T. Anderson;Arthur J. Mariano.
Journal of Physical Oceanography (1999)
Slowly Propagating Disturbances in a Coupled Ocean-Atmosphere Model
David L. T. Anderson;Julian P. McCreary.
Journal of the Atmospheric Sciences (1985)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: