What is he best known for?
The fields of study he is best known for:
- Statistics
- Hydrology
- Meteorology
The scientist’s investigation covers issues in Ensemble Kalman filter, Data assimilation, Remote sensing, Water content and Meteorology.
His study looks at the intersection of Ensemble Kalman filter and topics like State variable with Probability density function, Extreme value theory, Monte Carlo method, Optimal estimation and Statistical physics.
His research in Data assimilation intersects with topics in Kalman filter and Hydrological modelling.
When carried out as part of a general Remote sensing research project, his work on Synthetic aperture radar is frequently linked to work in Particle filter, therefore connecting diverse disciplines of study.
Hydrology covers Valentijn R. N. Pauwels research in Water content.
His study looks at the relationship between Meteorology and fields such as Backscatter, as well as how they intersect with chemical problems.
His most cited work include:
- Multiscale assimilation of Advanced Microwave Scanning Radiometer–EOS snow water equivalent and Moderate Resolution Imaging Spectroradiometer snow cover fraction observations in northern Colorado (162 citations)
- Climate and vegetation water use efficiency at catchment scales (146 citations)
- The importance of the spatial patterns of remotely sensed soil moisture in the improvement of discharge predictions for small-scale basins through data assimilation (143 citations)
What are the main themes of his work throughout his whole career to date?
Water content, Remote sensing, Hydrology, Data assimilation and Meteorology are his primary areas of study.
His study in Water content is interdisciplinary in nature, drawing from both Moisture, Soil science, Soil water and Hydrological modelling.
His work on Brightness temperature expands to the thematically related Remote sensing.
His biological study spans a wide range of topics, including Kalman filter and Ensemble Kalman filter.
His Ensemble Kalman filter research is multidisciplinary, incorporating perspectives in Algorithm and State variable.
His Evapotranspiration research focuses on subjects like Energy balance, which are linked to Atmospheric sciences.
He most often published in these fields:
- Water content (30.30%)
- Remote sensing (25.97%)
- Hydrology (23.81%)
What were the highlights of his more recent work (between 2016-2021)?
- Remote sensing (25.97%)
- Flood myth (6.06%)
- Data assimilation (20.35%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Remote sensing, Flood myth, Data assimilation, Water content and Meteorology.
His study in the field of Remote sensing also crosses realms of Vegetation.
His work carried out in the field of Data assimilation brings together such families of science as Groundwater model, Ensemble Kalman filter and Groundwater.
His Ensemble Kalman filter research incorporates elements of Hydrology, State variable and State.
He combines subjects such as Soil science, Soil water, Radiometer, Hydrological modelling and Brightness temperature with his study of Water content.
The concepts of his Meteorology study are interwoven with issues in Water balance, Streamflow, Likelihood function and Flood forecasting.
Between 2016 and 2021, his most popular works were:
- The evolution of process-based hydrologic models: historical challenges and the collective quest for physical realism (78 citations)
- Improved water balance component estimates through joint assimilation of GRACE water storage and SMOS soil moisture retrievals (56 citations)
- Hydrologic model calibration using remotely sensed soil moisture and discharge measurements: The impact on predictions at gauged and ungauged locations (41 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Hydrology
- Meteorology
His primary areas of investigation include Remote sensing, Water content, Hydrological modelling, Streamflow and Flood myth.
His Remote sensing research integrates issues from Representation and Ensemble Kalman filter.
Valentijn R. N. Pauwels has researched Water content in several fields, including Moisture, Soil water, Water balance and Water resources.
His Hydrological modelling study is concerned with the larger field of Hydrology.
His Streamflow research includes elements of Spatial analysis, Calibration, Estimation theory, Tributary and Flow.
Valentijn R. N. Pauwels works mostly in the field of Flood myth, limiting it down to topics relating to Synthetic aperture radar and, in certain cases, Ancillary data, Backscatter and Change detection.
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