His primary scientific interests are in Data assimilation, Meteorology, Precipitation, Interim and Atmospheric sciences. Specifically, his work in Data assimilation is concerned with the study of Meteorological reanalysis. His Meteorological reanalysis research incorporates themes from Atmospheric Model Intercomparison Project, Climate Forecast System, Coupled model intercomparison project, ERA-40 and ECHAM.
Troposphere is closely connected to Radiance in his research, which is encompassed under the umbrella topic of Meteorology. The Precipitation study combines topics in areas such as Snow, Snowpack, Climate model and Weather forecasting. His research in Atmospheric sciences intersects with topics in Atmosphere, Sea surface temperature, Surface pressure and Sea ice.
His primary areas of investigation include Meteorology, Data assimilation, Environmental resource management, Copernicus and Remote sensing. His work on Radiosonde, Meteorological reanalysis and Numerical weather prediction as part of general Meteorology research is frequently linked to Interim, thereby connecting diverse disciplines of science. His Radiosonde research also works with subjects such as
As a part of the same scientific study, Dick Dee usually deals with the Numerical weather prediction, concentrating on Mathematical optimization and frequently concerns with Applied mathematics. His biological study spans a wide range of topics, including Covariance, Statistics and Radiance. His Radiance study incorporates themes from Forecast skill, Depth sounding and Data system.
His primary areas of study are Environmental resource management, Copernicus, Political science, Data assimilation and Atmospheric sciences. His Environmental resource management study incorporates themes from Remote sensing and Service. Dick Dee studies Data assimilation, focusing on Meteorological reanalysis in particular.
Dick Dee interconnects Sea surface temperature, Ocean observations, Tropical cyclone and Sea ice in the investigation of issues within Atmospheric sciences. His Sea ice study combines topics from a wide range of disciplines, such as Forecast skill, Stratosphere and Troposphere. His research investigates the connection between Variational analysis and topics such as Meteorology that intersect with issues in Satellite data.
Atmospheric sciences, Data assimilation, Global warming, Northern Hemisphere and Environmental resource management are his primary areas of study. As a part of the same scientific family, Dick Dee mostly works in the field of Atmospheric sciences, focusing on Sea ice and, on occasion, Surface pressure. Dick Dee is interested in Meteorological reanalysis, which is a field of Data assimilation.
His biological study spans a wide range of topics, including Atmosphere, Spurious relationship, Covariance and Precipitation. The study incorporates disciplines such as Latent heat and Heat wave in addition to Global warming. His Northern Hemisphere research includes themes of Forecast skill, Stratosphere and Troposphere.
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The ERA-Interim reanalysis: configuration and performance of the data assimilation system
D. P. Dee;S. M. Uppala;A. J. Simmons;Paul Berrisford.
Quarterly Journal of the Royal Meteorological Society (2011)
The ERA5 global reanalysis
Hans Hersbach;Bill Bell;Paul Berrisford;Shoji Hirahara.
Quarterly Journal of the Royal Meteorological Society (2020)
ERA-20C: An Atmospheric Reanalysis of the Twentieth Century
Paul Poli;Hans Hersbach;Dick P. Dee;Paul Berrisford.
Journal of Climate (2016)
Variational bias correction of satellite radiance data in the ERA‐Interim reanalysis
D. P. Dee;S. Uppala.
Quarterly Journal of the Royal Meteorological Society (2009)
Low‐frequency variations in surface atmospheric humidity, temperature, and precipitation: Inferences from reanalyses and monthly gridded observational data sets
A.J. Simmons;K.M. Willett;P.D. Jones;Peter Thorne.
Journal of Geophysical Research (2010)
Bias and data assimilation
D. P. Dee.
Quarterly Journal of the Royal Meteorological Society (2005)
The ERA-Interim Archive
Paul Berrisford;D Dee;K Fielding;M Fuentes.
Data assimilation in the presence of forecast bias
Dick P. Dee;Arlindo M. Da Silva.
Quarterly Journal of the Royal Meteorological Society (1998)
ERA-Interim/Land: a global land surface reanalysis data set
G. Balsamo;C. Albergel;A. Beljaars;S. Boussetta.
Hydrology and Earth System Sciences (2015)
On-line Estimation of Error Covariance Parameters for Atmospheric Data Assimilation
Dick P. Dee.
Monthly Weather Review (1995)
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