What is he best known for?
The fields of study he is best known for:
- Meteorology
- Ecology
- Hydrology
His scientific interests lie mostly in Climatology, Precipitation, Climate change, Hydrology and Water cycle.
His biological study spans a wide range of topics, including Meteorology, Climate model and Downscaling.
Many of his research projects under Meteorology are closely connected to Resolution with Resolution, tying the diverse disciplines of science together.
His Precipitation research includes elements of Monsoon and Terrain.
His Climate change study combines topics in areas such as SNOTEL and Snowpack.
In general Hydrology, his work in Hydrology and Water resources is often linked to Context linking many areas of study.
His most cited work include:
- Toward a unified view of the American monsoon systems (537 citations)
- Hyperresolution global land surface modeling: Meeting a grand challenge for monitoring Earth's terrestrial water (489 citations)
- How Well Are We Measuring Snow: The NOAA/FAA/NCAR Winter Precipitation Test Bed (373 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Climatology, Precipitation, Hydrology, Meteorology and Hydrology.
His work on North American Monsoon and Mesoscale meteorology as part of general Climatology study is frequently linked to Predictability, bridging the gap between disciplines.
The subject of his North American Monsoon research is within the realm of Monsoon.
His Precipitation research includes themes of Snowpack, Streamflow, Terrain and Atmospheric sciences.
His Meteorology research is multidisciplinary, incorporating elements of Flood forecasting and Hydrological modelling.
His Climate change research is multidisciplinary, relying on both Water resources and Water cycle.
He most often published in these fields:
- Climatology (32.52%)
- Precipitation (28.64%)
- Hydrology (24.27%)
What were the highlights of his more recent work (between 2017-2021)?
- Water model (9.22%)
- Meteorology (22.33%)
- Hydrology (24.27%)
In recent papers he was focusing on the following fields of study:
David Gochis focuses on Water model, Meteorology, Hydrology, Weather Research and Forecasting Model and Hydrology.
The concepts of his Meteorology study are interwoven with issues in Terrain and Hydrological modelling.
His study looks at the relationship between Hydrological modelling and fields such as Convective storm detection, as well as how they intersect with chemical problems.
His Climatology study incorporates themes from La Niña and Precipitation index.
In the field of Hydrology, his study on Streamflow, Watershed and Infiltration overlaps with subjects such as Mathematical model.
His Hydrology research integrates issues from Atmospheric model, Ocean surface topography and Surface water.
Between 2017 and 2021, his most popular works were:
- Towards real-time continental scale streamflow simulation in continuous and discrete space. (38 citations)
- Implementation of a vector-based river network routing scheme in the community WRF-Hydro modeling framework for flood discharge simulation (19 citations)
- Role of Lateral Terrestrial Water Flow on the Regional Water Cycle in a Complex Terrain Region: Investigation With a Fully Coupled Model System (11 citations)
In his most recent research, the most cited papers focused on:
- Meteorology
- Ecology
- Hydrology
His main research concerns Meteorology, Hydrometeorology, Water content, Weather Research and Forecasting Model and Hydrological modelling.
The various areas that he examines in his Meteorology study include Surface-water hydrology, Stream flow and Discrete space.
His study in Hydrometeorology is interdisciplinary in nature, drawing from both Atmosphere and Atmospheric sciences.
His studies in Water content integrate themes in fields like Hindcast, Irrigation and Precipitation.
His work deals with themes such as Atlantic multidecadal oscillation, Climatology, Anomaly and Evapotranspiration, which intersect with Precipitation.
His Weather Research and Forecasting Model research is multidisciplinary, incorporating perspectives in Atmospheric models and Computational science.
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