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Mrinal Biswas authored and/or contributed to the following articles/publications.
The intensity and structure of simulated tropical cyclones (TCs) are known to be sensitive to the planetary boundary layer (PBL) parameterization in numerical weather prediction models. In this paper, we use an idealized version of the Hurricane Weather Research and Forecast system (HWRF) with constant sea-surface temperature (SST) to examine ho...
Institution National Oceanic and Atmospheric Administration - NOAA
Impact of the Hydrometeor Vertical Advection Method on HWRF’s Simulated Hurricane Structure
The impact of different hydrometeor advection schemes on TC structure and intensity forecasts is examined through the evaluation of HWRF’s simulation of tropical cyclones using the operational Ferrier–Aligo (FA) microphysics that uses total condensate advection versus the same scheme but with separate hydrometeor advection (FA-adv). Results show...
Institutions National Center for Atmospheric Research - NCAR National Oceanic and Atmospheric Administration - NOAA
The Developmental Testbed Center (DTC) tested two convective parameterization schemes in the Hurricane Weather Research and Forecasting (HWRF) Model and compared them in terms of performance of forecasting tropical cyclones (TCs). Several TC forecasts were conducted with the scale-aware Simplified Arakawa Schubert (SAS) and Grell–Freitas (GF) co...
Institutions National Center for Atmospheric Research - NCAR National Oceanic and Atmospheric Administration - NOAA
Sensitivity of hurricane forecasts to cumulus parameterizations in the HWRF model
The Developmental Testbed Center used the Hurricane Weather Research and Forecasting (HWRF) system to test the sensitivity of tropical cyclone track and intensity forecasts to different convective schemes. A control configuration that employed the HWRF Simplified Arakawa Scheme (SAS) was compared with the Kain-Fritsch and Tiedtke schemes, as wel...
Institution National Center for Atmospheric Research - NCAR
Advancing Tropical Cyclone Precipitation Forecast Verification Methods and Tools
Tropical cyclone (TC) forecast verification techniques have traditionally focused on track and intensity, as these are some of the most important characteristics of TCs and are often the principle verification concerns of operational forecast centers. However, there is a growing need to verify other aspects of TCs as process-based validation tec...
Institution National Oceanic and Atmospheric Administration - NOAA
Advanced Quantitative Precipitation Information (AQPI) is a synergistic project that combines observations and models to improve monitoring and forecasts of precipitation, streamflow, and coastal flooding in the San Francisco Bay area. As an experimental system, AQPI leverages more than a decade of research, innovation, and implementation of a s...
Institution National Oceanic and Atmospheric Administration - NOAA