What is he best known for?
The fields of study he is best known for:
- Statistics
- Meteorology
- Remote sensing
Wade T. Crow mainly investigates Water content, Remote sensing, Data assimilation, Radiometer and Meteorology.
He combines subjects such as Soil science, Soil water, Satellite imagery, Evapotranspiration and Surface runoff with his study of Water content.
His work on Radiometry as part of general Remote sensing research is frequently linked to Scale and Current, thereby connecting diverse disciplines of science.
His Data assimilation research is multidisciplinary, incorporating perspectives in Moisture, Kalman filter, Errors-in-variables models and Anomaly.
His study in Radiometer is interdisciplinary in nature, drawing from both Soil map, Rain gauge, Precipitation and Brightness temperature.
His Soil map research includes themes of Atmosphere, Correlation coefficient, Carbon sink, Calibration and Data retrieval.
His most cited work include:
- The Soil Moisture Active Passive (SMAP) Mission (1780 citations)
- Upscaling sparse ground‐based soil moisture observations for the validation of coarse‐resolution satellite soil moisture products (411 citations)
- Assessment of the SMAP Passive Soil Moisture Product (273 citations)
What are the main themes of his work throughout his whole career to date?
Wade T. Crow focuses on Water content, Remote sensing, Data assimilation, Meteorology and Soil science.
His research in Water content intersects with topics in Radiometer, Soil water, Atmospheric sciences, Precipitation and Moisture.
His research integrates issues of Soil map, Water balance and Brightness temperature in his study of Radiometer.
His research in the fields of Radiometry overlaps with other disciplines such as Scale.
His Data assimilation study combines topics from a wide range of disciplines, such as Kalman filter, Streamflow and Surface runoff.
His Meteorology research incorporates elements of Mean squared error and Flood forecasting.
He most often published in these fields:
- Water content (69.76%)
- Remote sensing (42.34%)
- Data assimilation (34.27%)
What were the highlights of his more recent work (between 2017-2021)?
- Water content (69.76%)
- Atmospheric sciences (14.52%)
- Remote sensing (42.34%)
In recent papers he was focusing on the following fields of study:
His main research concerns Water content, Atmospheric sciences, Remote sensing, Data assimilation and Precipitation.
His work carried out in the field of Water content brings together such families of science as Soil science, Radiometer, Streamflow, Evapotranspiration and Brightness temperature.
His Atmospheric sciences research focuses on subjects like Moisture, which are linked to Soil water.
In general Remote sensing study, his work on Synthetic aperture radar often relates to the realm of High resolution, thereby connecting several areas of interest.
In Data assimilation, Wade T. Crow works on issues like Surface runoff, which are connected to Infiltration.
His Precipitation study combines topics in areas such as Drainage basin and Normalized Difference Vegetation Index.
Between 2017 and 2021, his most popular works were:
- Development and assessment of the SMAP enhanced passive soil moisture product (140 citations)
- Global-scale Evaluation of SMAP, SMOS and ASCAT Soil Moisture Products using Triple Collocation. (60 citations)
- Exploiting soil moisture, precipitation and streamflow observations to evaluate soil moisture/runoff coupling in land surface models. (33 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Meteorology
- Remote sensing
Water content, Remote sensing, Data assimilation, Atmospheric sciences and Soil science are his primary areas of study.
In his work, he performs multidisciplinary research in Water content and Scale.
The study incorporates disciplines such as Active passive, Retrieval algorithm and Brightness temperature in addition to Remote sensing.
His biological study spans a wide range of topics, including Kalman filter, Adaptive filter and Monte Carlo method.
His work in Soil science covers topics such as Surface runoff which are related to areas like Storm and Infiltration.
He has included themes like Soil map and Meteorology in his Correlation coefficient study.
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.
