Developing Aerosol Reanalysis at NOAA. Version 1.0: Methodology and Results.

21 oct. 2021 14:25
10m
Oral Presentation 3. Data Assimilation Session 3.

Ponente

Mariusz Pagowski (CU CIRES and NOAA/ESRL/GSL)

Descripción

In collaboration with the Global Modeling and Assimilation Office at NASA and State University of New York at Albany, NOAA is developing capability to assimilate observations to create the first ever aerosol reanalysis at this institution. Initially, the reanalysis is being developed only for the year 2016. It will benefit scientists involved in aerosol forecasting, as well as the climate, health, and environmental communities. The observations include Aerosol Optical Depth (AOD) derived from Moderate Resolution Imaging Spectroradiometer (MODIS) and AErosol RObotic NETwork (AERONET) direct sun measurements. The model relies on Finite-Volume Cubed-Sphere (FV3) dynamical core, Global Forecast System (GFS) physics and the aerosol parameterization based on the Goddard Chemistry Aerosol Radiance and Transport (GOCART). The assimilation tools are from the Joint Effort for Data assimilation Integration (JEDI): the forward operator uses aerosol scattering tables from NASA/GMAO and the assimilation approach combines the variational solver and the Local Ensemble Transform Kalman Filter (LETKF). Reanalysis is compared to NASA’s Modern-Era Retrospective analysis for Research and Applications Two (MERRA-2) and ECMWF’s Copernicus Atmosphere Monitoring Service interim Reanalysis (CAMSiRA) and evaluated against various observations from AERONET, and other independent satellite AOD retrievals.

Autores primarios

Dr Arlindo da Silva (NASA/GMAO) Mariusz Pagowski (CU CIRES and NOAA/ESRL/GSL) Dr Betsy Andrews (CU CIRES and NOAA/ESRL/GML) Dr Bo Huang (CU CIRES and NOAA/ESRL/GSL) Dr Sarah Lu (SUNYA and JCSDA) Mr Shih-Wei Wei (SUNYA) Dr Shobha Kondragunta (NOAA/NESDIS/STAR)

Presentation materials