What is he best known for?
The fields of study he is best known for:
- Statistics
- Climate change
- Meteorology
His primary areas of investigation include Climate change, Climatology, Downscaling, Precipitation and Representation.
The Climate model research Douglas Maraun does as part of his general Climate change study is frequently linked to other disciplines of science, such as Series, therefore creating a link between diverse domains of science.
His Climatology research incorporates elements of Trend surface analysis, Spatial distribution, Warm front and Confidence interval.
His research in Downscaling intersects with topics in Value, Tree and Model output statistics.
Douglas Maraun has included themes like Atmospheric circulation, Anomaly and Troposphere in his Precipitation study.
His work deals with themes such as Key, Generalized additive model, Data science and Spatial variability, which intersect with Meteorology.
His most cited work include:
- Precipitation downscaling under climate change: Recent developments to bridge the gap between dynamical models and the end user (1050 citations)
- Precipitation downscaling under climate change: Recent developments to bridge the gap between dynamical models and the end user (1050 citations)
- Cross wavelet analysis: significance testing and pitfalls (366 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Climatology, Precipitation, Downscaling, Climate model and Climate change.
His Climatology research incorporates themes from Meteorology and Extreme value theory.
His work in the fields of Orography overlaps with other areas such as Spatial ecology.
His Downscaling research is multidisciplinary, incorporating elements of Bias correction, Quantile, Econometrics, Model output statistics and Value.
Model output statistics is closely attributed to Spatial variability in his research.
Douglas Maraun interconnects Representation, Flooding, Data science and Scale in the investigation of issues within Climate change.
He most often published in these fields:
- Climatology (55.21%)
- Precipitation (39.26%)
- Downscaling (33.74%)
What were the highlights of his more recent work (between 2017-2021)?
- Climatology (55.21%)
- Downscaling (33.74%)
- Climate change (25.15%)
In recent papers he was focusing on the following fields of study:
His main research concerns Climatology, Downscaling, Climate change, Climate model and Precipitation.
His research on Climatology frequently links to adjacent areas such as Water cycle.
His Downscaling study integrates concerns from other disciplines, such as Bias correction, Econometrics, Model output statistics, Northern Hemisphere and Value.
His biological study spans a wide range of topics, including Calibration, Hydrology and Spatial variability.
His Climate change study combines topics in areas such as Resolution and Water resource management.
The various areas that Douglas Maraun examines in his Precipitation study include Representative Concentration Pathways, Storm surge, Flooding and Scale.
Between 2017 and 2021, his most popular works were:
- An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross-validation experiment (75 citations)
- Statistical Downscaling and Bias Correction for Climate Research (66 citations)
- Storylines: an alternative approach to representing uncertainty in physical aspects of climate change (65 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Climate change
- Meteorology
Douglas Maraun mainly focuses on Downscaling, Climatology, Value, Bias correction and Climate change.
His Downscaling research is multidisciplinary, relying on both Global and Planetary Change and Forecast skill.
The concepts of his Climatology study are interwoven with issues in Ensemble forecasting, Orography, Precipitation and Mode.
The Value study combines topics in areas such as Cross-validation, Model output statistics, Future climate and Reproducibility.
His research integrates issues of Observational study, Climate model and Data science in his study of Bias correction.
His work deals with themes such as Regional science and Earth system science, which intersect with Climate change.
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