What is he best known for?
The fields of study he is best known for:
- Meteorology
- Statistics
- Climate change
David Pozo-Vázquez mostly deals with Climatology, North Atlantic oscillation, Precipitation, Mean squared error and Meteorology.
While working in this field, David Pozo-Vázquez studies both Climatology and Series.
By researching both North Atlantic oscillation and Peninsula, David Pozo-Vázquez produces research that crosses academic boundaries.
His specific area of interest is Precipitation, where he studies Teleconnection.
His work deals with themes such as Remote sensing, Digital elevation model, Range and Sky, which intersect with Mean squared error.
His Meteorology study frequently links to adjacent areas such as Cloud cover.
His most cited work include:
- North Atlantic oscillation influence on precipitation, river flow and water resources in the Iberian Peninsula (491 citations)
- Evaluation of the WRF model solar irradiance forecasts in Andalusia (southern Spain) (164 citations)
- The Association between ENSO and Winter Atmospheric Circulation and Temperature in the North Atlantic Region. (155 citations)
What are the main themes of his work throughout his whole career to date?
David Pozo-Vázquez focuses on Meteorology, Climatology, North Atlantic oscillation, Weather Research and Forecasting Model and Peninsula.
The various areas that David Pozo-Vázquez examines in his Meteorology study include Mean squared error, Atmospheric sciences and Remote sensing.
Range is closely connected to Sky in his research, which is encompassed under the umbrella topic of Remote sensing.
His study in the fields of Composite analysis under the domain of Climatology overlaps with other disciplines such as Series.
His work carried out in the field of North Atlantic oscillation brings together such families of science as Anomaly, Predictability, Extreme value theory and Atmospheric temperature.
His Weather Research and Forecasting Model study combines topics in areas such as Wind speed, Cloud cover and Numerical weather prediction.
He most often published in these fields:
- Meteorology (51.85%)
- Climatology (39.51%)
- North Atlantic oscillation (20.99%)
What were the highlights of his more recent work (between 2015-2021)?
- Meteorology (51.85%)
- Solar irradiance (14.81%)
- Term (6.17%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Meteorology, Solar irradiance, Term, Solar power and Numerical weather prediction.
The Meteorology study combines topics in areas such as Principal component analysis, Atmospheric sciences and Remote sensing.
His Solar irradiance research integrates issues from Machine learning, Extreme gradient boosting, Artificial intelligence and Aerosol.
His Solar power research incorporates elements of Energy policy, Optimization problem, Mathematical optimization and Solar Resource.
In Numerical weather prediction, David Pozo-Vázquez works on issues like Covariance, which are connected to Wavelet.
His Climatology research is multidisciplinary, incorporating perspectives in Cloud cover and Mode.
Between 2015 and 2021, his most popular works were:
- Optimal management of wind and solar energy resources (47 citations)
- Short-term solar radiation forecasting by advecting and diffusing MSG cloud index (30 citations)
- Exploring the mean-variance portfolio optimization approach for planning wind repowering actions in Spain (30 citations)
In his most recent research, the most cited papers focused on:
- Meteorology
- Statistics
- Climate change
His primary scientific interests are in Meteorology, Numerical weather prediction, Weather Research and Forecasting Model, Energy supply and Solar power.
David Pozo-Vázquez regularly ties together related areas like Moment in his Meteorology studies.
His Numerical weather prediction research includes elements of Ceilometer, Remote sensing and Mesoscale meteorology.
He has included themes like Radiation flux and Principal component analysis in his Weather Research and Forecasting Model study.
His Energy supply research incorporates a variety of disciplines, including Risk management framework, Mathematical optimization, Energy policy, Optimization problem and Work.
His studies in Solar power integrate themes in fields like Mean squared error, Econometrics and Electricity market.
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