RAVE is a regional biomass-burning emissions inventory. It provides hourly emissions at a spatial resolution of 0.03 degree (~3km) across the conterminous United States (CONUS) and North America.
Emissions are calculated by fusing high-temporal-resolution (5min/10min, 2km) ABI fire radiative power (FRP) and fine-spatial-resolution (375m) VIIRS FRP. ABI FRP is from GOES-East (GOES-16) and GOES-West (GOES-17, will be replaced by GOES-18 in near future). VIIRS FRP is from JPSS satellites ( Suomi NPP and NOAA-20, Suomi NPP will be replaced by NOAA-21 in near future). RAVE emissions products have been validated using carbon monoxide (CO) observations from the TROPOMI on the Copernicus Sentinel-5 Precursor satellite. For a full description of the RAVE algorithm and product validation, please refer to Li et al. 2022.
Rave product's primary mission is to provide fire emissions to NOAA air quality forecast models in the Environmental Modeling Center (EMC) and Global Systems Laboratory (GSL) in supporting the air quality forecast of the National Weather Service (NWS).
The RAVE algorithm is in transition to NOAA for operation run. Hourly RAVE product is available in near real-time with a one-hour delay at NOAA NESDIS STAR. The near real-time product will be also be available in Amazon Cloud. The science team at South Dakota State University also provides reprocessed RAVE for the CONUS domain.
More information on RAVE product updates and distribution can be found here.
Examples
Annual total dry mass (DM) consumption across the CONUS from April 2020 to March 2021
Annual total PM2.5 emissions across the CONUS from April 2020 to March 2021
Rave product can be used in various applications. For example, it has been successfully applied to forecast air quality across the CONUS by the Community Multiscale Air Quality Modeling System (CMAQ) at NOAA EMC and the Rapid Refresh Forecast System (RRFS) at NOAA GSL.
Application of RAVE in air quality forecast has been highlighted recently by an NOAA feature story. More information on the applications of RAVE product can be found here.
Air Quality Forecast Examples
Monthly mean PM2.5 for August 2019 predicted from NWS experimental CMAQ model simulations using RAVE fire emissions. EPA AirNow (airnow.gov) observations from ground monitors are shown as closed-filled circles with the same color scale as model predictions. (credit: NWS/NCEP/EMC, adopted from NOAA feature story)
The science team (Fangjun Li & Xiaoyang Zhang at South Dakota State University and Shobha kondragunta at NOAA STAR) has been funded by NOAA.
Publication list
Li F, Zhang X, Kondragunta S, Lu X, Csiszar I, and Schmidt CC. Hourly biomass burning emissions product from blended geostationary and polar-orbiting satellites for air quality forecasting applications (2022). Remote Sensing of Environment, https://doi.org/10.1016/j.rse.2022.113237
Diurnal climatology. The climatological diurnal cycles of FRP and PM2.5 emissions are illustrated and accessible here.
Ancillary data. Static data (i.e., emission factors and maps of the ecoregion and land cover types) applied to compute emissions are illustrated and accessible here.
For scientific questions about RAVE, please refer to Fangjun Li or Xiaoyang Zhang. For distribution of near real-time RAVE, please refer to Shobha kondragunta.