What is he best known for?
The fields of study he is best known for:
- Agriculture
- Climate change
- Statistics
Precipitation, Index, Precipitation index, Meteorology and Natural hazard are his primary areas of study.
Mark Svoboda usually deals with Precipitation and limits it to topics linked to Evapotranspiration and Vegetation and Surface runoff.
The study incorporates disciplines such as Time series, Climate model, Global warming, Global change and Water resources in addition to Index.
His work deals with themes such as Water content, Annual variation, Consistency and Gamma distribution, which intersect with Precipitation index.
His Meteorology study incorporates themes from Agriculture and Risk management.
His Natural hazard research includes elements of Droughts in the United States, Recreation and Normalized Difference Vegetation Index.
His most cited work include:
- THE DROUGHT MONITOR (770 citations)
- Monitoring the 1996 Drought Using the Standardized Precipitation Index (748 citations)
- The Lincoln Declaration on Drought Indices: Universal Meteorological Drought Index Recommended (392 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Precipitation, Agriculture, Water content, Evapotranspiration and Environmental resource management.
His work on Precipitation index as part of general Precipitation research is often related to Scale, thus linking different fields of science.
His Agriculture course of study focuses on Water resource management and Hydrology.
His studies in Water content integrate themes in fields like Water balance, Climate change, Data assimilation and Normalized Difference Vegetation Index.
The concepts of his Climate change study are interwoven with issues in Atmospheric circulation, Environmental planning and Natural hazard.
Mark Svoboda has included themes like Soil water and Growing season in his Evapotranspiration study.
He most often published in these fields:
- Precipitation (18.79%)
- Agriculture (16.11%)
- Water content (15.44%)
What were the highlights of his more recent work (between 2018-2021)?
- Agriculture (16.11%)
- Satellite (4.70%)
- Evapotranspiration (12.75%)
In recent papers he was focusing on the following fields of study:
Mark Svoboda mainly investigates Agriculture, Satellite, Evapotranspiration, Environmental planning and Precipitation.
His Agriculture study combines topics in areas such as Remote sensing, Extreme events and Physical geography.
His work in Satellite incorporates the disciplines of Stress index, Monitoring tool, Monitoring system, Satellite imagery and East Asia.
Mark Svoboda interconnects Drainage basin, Streamflow and Seasonality in the investigation of issues within Evapotranspiration.
Many of his studies on Environmental planning involve topics that are commonly interrelated, such as Action plan.
His work carried out in the field of Precipitation brings together such families of science as Normalized Difference Vegetation Index, Land surface temperature and Digital elevation model.
Between 2018 and 2021, his most popular works were:
- Flash droughts present a new challenge for subseasonal-to-seasonal prediction (40 citations)
- Complex influences of meteorological drought time-scales on hydrological droughts in natural basins of the contiguous Unites States (23 citations)
- Developing a satellite-based combined drought indicator to monitor agricultural drought: a case study for Ethiopia (19 citations)
In his most recent research, the most cited papers focused on:
- Agriculture
- Climate change
- Statistics
His primary areas of investigation include Evapotranspiration, Satellite, Agriculture, Flash and Vegetation.
His study on Evapotranspiration is mostly dedicated to connecting different topics, such as Precipitation.
Mark Svoboda regularly links together related areas like Fuel moisture content in his Precipitation studies.
He regularly ties together related areas like Satellite imagery in his Agriculture studies.
His Flash research covers fields of interest such as Water content, Sequence, Vegetation, Context and Predictability.
His Vegetation study integrates concerns from other disciplines, such as Seasonality, Drainage basin, Streamflow and Digital elevation model.
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