What is he best known for?
The fields of study he is best known for:
- Statistics
- Climate change
- Ecology
His primary scientific interests are in Climatology, Precipitation, Water cycle, Water content and Climate change.
His studies in Climatology integrate themes in fields like Climate model, Global warming, Scale, Hydrology and Data assimilation.
His Data assimilation research integrates issues from Snow, Streamflow and Forcing.
His Precipitation research incorporates elements of Tropical and subtropical dry broadleaf forests, Dry season, Tropical savanna climate and Tropical vegetation.
The concepts of his Water content study are interwoven with issues in Infiltration and Trend surface analysis.
His research in Climate change intersects with topics in Atmospheric dynamics, Teleconnection and Evapotranspiration.
His most cited work include:
- Global warming and changes in drought (1229 citations)
- Recent decline in the global land evapotranspiration trend due to limited moisture supply (1225 citations)
- Development of a 50-Year High-Resolution Global Dataset of Meteorological Forcings for Land Surface Modeling (1179 citations)
What are the main themes of his work throughout his whole career to date?
His main research concerns Climatology, Precipitation, Evapotranspiration, Climate change and Meteorology.
His Climatology research is multidisciplinary, relying on both Water cycle, Climate model, Streamflow, Water content and Data assimilation.
His research integrates issues of Spatial variability and Mesonet in his study of Data assimilation.
He works mostly in the field of Precipitation, limiting it down to concerns involving Surface runoff and, occasionally, Hydrology.
His Evapotranspiration study frequently links to other fields, such as Remote sensing.
His study in the field of Global warming is also linked to topics like Context.
He most often published in these fields:
- Climatology (50.32%)
- Precipitation (28.21%)
- Evapotranspiration (19.87%)
What were the highlights of his more recent work (between 2019-2021)?
- Climatology (50.32%)
- Water content (15.06%)
- Precipitation (28.21%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Climatology, Water content, Precipitation, Flood myth and Water resource management.
Justin Sheffield has included themes like Climate change and Streamflow in his Climatology study.
His study in Water content is interdisciplinary in nature, drawing from both Soil water, Atmospheric sciences and Data assimilation.
His work on Forcing as part of general Atmospheric sciences research is frequently linked to Surface energy, thereby connecting diverse disciplines of science.
His Precipitation research is multidisciplinary, incorporating elements of Scale and Vegetation.
His Flood myth study combines topics in areas such as Range, El Niño Southern Oscillation, Meteorology and Relation.
Between 2019 and 2021, his most popular works were:
- Bias Correction of Global High-Resolution Precipitation Climatologies Using Streamflow Observations from 9372 Catchments (23 citations)
- A Global Drought and Flood Catalogue from 1950 to 2016 (15 citations)
- The PROFOUND Database for evaluating vegetation models and simulating climate impacts on European forests (15 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Climate change
- Ecology
Justin Sheffield spends much of his time researching Climatology, Precipitation, Water content, Brightness temperature and Seesaw molecular geometry.
His multidisciplinary approach integrates Climatology and High resolution in his work.
Throughout his High resolution studies, he incorporates elements of other sciences such as Streamflow, Snow and Bias correction.
His Precipitation study integrates concerns from other disciplines, such as Calibration, Pearson product-moment correlation coefficient, Atmospheric sciences, Data assimilation and Irrigation scheduling.
His work deals with themes such as Spatial heterogeneity, Remote sensing and Water resources, which intersect with Water content.
While working in this field, Justin Sheffield studies both Brightness temperature and Watershed.
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.
