Ponente
Descripción
The Rapid Refresh and High-Resolution Rapid Refresh coupled with Smoke (RAP/HRRR-Smoke) models are based on NOAA’s RAP/HRRR numerical weather prediction modeling systems. The RAP model domain covers the entire North and Central Americas at 13.5km grid spacing. The HRRR domain covers the contiguous US at 3km grid spacing. The RAP-Smoke model provides boundary conditions for the meteorological and smoke variables to HRRR. The RAP/HRRR-Smoke models have been running operationally at NOAA/NCEP since December 2020. In RAP/HRRR-Smoke primary aerosols (smoke) emissions from wildland fires are simulated by ingesting the fire radiative power data from the VIIRS (onboard S-NPP and NOAA-20) and MODIS (Terra and Aqua) satellite instruments.
In this presentation I will discuss the applications of these models to forecast smoke distributions on local, regional and continental scales, and how adding the smoke capability helped to improve weather and visibility forecasting over the regions, when they are impacted by dense smoke. The verification of the HRRR-Smoke model for July-August 2021 using various ground based and remote sensing aerosol measurements will be presented. For verification of the fire plume injection height simulations in HRRR-Smoke we use the aircraft lidar and in-situ measurements from the FIREX-AQ campaign during summer 2019. Finally, I will discuss the remaining challenges in smoke forecasting and future plans to develop next-generation smoke forecast models.
