What is he best known for?
The fields of study he is best known for:
- Statistics
- Meteorology
- Hydrology
His main research concerns Meteorology, Precipitation, Hydrology, Drainage basin and Surface runoff.
His Meteorology research is multidisciplinary, incorporating elements of Flood myth, Flood forecasting, Remote sensing and Propagation of uncertainty.
His Precipitation research integrates issues from Storm, Weather forecasting and GLUE.
His Hydrology study frequently links to related topics such as Altimeter.
The various areas that Faisal Hossain examines in his Drainage basin study include Satellite rainfall and Shore.
Faisal Hossain works mostly in the field of Climatology, limiting it down to topics relating to Land cover and, in certain cases, Environmental resource management.
His most cited work include:
- Land use/land cover changes and climate: modeling analysis and observational evidence (458 citations)
- A first approach to global runoff simulation using satellite rainfall estimation (133 citations)
- Investigating Error Metrics for Satellite Rainfall Data at Hydrologically Relevant Scales (117 citations)
What are the main themes of his work throughout his whole career to date?
Faisal Hossain mostly deals with Hydrology, Meteorology, Precipitation, Flood myth and Drainage basin.
Faisal Hossain combines subjects such as Altimeter and Structural basin with his study of Hydrology.
His Meteorology study combines topics from a wide range of disciplines, such as Remote sensing, Surface runoff and Flood forecasting.
In his study, Maximum precipitation and Climate change is inextricably linked to Climatology, which falls within the broad field of Precipitation.
His studies in Flood myth integrate themes in fields like Watershed and Floodplain.
His Drainage basin study frequently links to other fields, such as Hydrological modelling.
He most often published in these fields:
- Hydrology (30.43%)
- Meteorology (23.91%)
- Precipitation (23.04%)
What were the highlights of his more recent work (between 2018-2021)?
- Hydrology (30.43%)
- Drainage basin (15.22%)
- Hydropower (3.91%)
In recent papers he was focusing on the following fields of study:
Hydrology, Drainage basin, Hydropower, Water resource management and Surface water are his primary areas of study.
The Hydrology study combines topics in areas such as Remote sensing and Structural basin.
His work carried out in the field of Drainage basin brings together such families of science as Altimeter and Water resources.
His studies deal with areas such as Land cover, Hydrology and Flash flood as well as Water resource management.
His Ocean surface topography study combines topics in areas such as Meteorology, Weather Research and Forecasting Model and Proxy.
While the research belongs to areas of Meteorology, Faisal Hossain spends his time largely on the problem of Flood myth, intersecting his research to questions surrounding Adaptation, Mathematical optimization and Probabilistic logic.
Between 2018 and 2021, his most popular works were:
- A model-aided satellite-altimetry-based flood forecasting system for the Mekong River (13 citations)
- Maximizing energy production from hydropower dams using short-term weather forecasts (12 citations)
- A generic data-driven technique for forecasting of reservoir inflow: Application for hydropower maximization (11 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Hydrology
- Climate change
His primary areas of investigation include Numerical weather prediction, Altimeter, Inflow, Hydropower and Operations research.
His Numerical weather prediction study integrates concerns from other disciplines, such as Quantitative precipitation forecast, Monsoon, Flooding and Flood control.
He interconnects Drainage basin, Satellite imagery, Seasonality and Nadir in the investigation of issues within Altimeter.
Faisal Hossain focuses mostly in the field of Drainage basin, narrowing it down to matters related to Meteorology and, in some cases, Flood myth.
His Inflow research incorporates themes from Mathematical optimization, Maximization, Artificial neural network, Data-driven and Probabilistic logic.
His Operations research research is multidisciplinary, relying on both Web based decision support system and Global Forecast System.
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