Aerosol Assimilation in the NASA GEOS system
In the GEOS near real-time system, as well as in MERRA-2 which is the latest reanalysis produced at NASA's Global Modeling Assimilation Office (GMAO), the assimilation of aerosol observations is performed by means of a so-called analysis splitting method. The prognostic model is based on the GE...
Main Authors: | , , |
---|---|
Format: | Other/Unknown Material |
Language: | unknown |
Published: |
2018
|
Subjects: | |
Online Access: | http://hdl.handle.net/2060/20180008517 |
id |
ftnasantrs:oai:casi.ntrs.nasa.gov:20180008517 |
---|---|
record_format |
openpolar |
spelling |
ftnasantrs:oai:casi.ntrs.nasa.gov:20180008517 2023-05-15T13:06:08+02:00 Aerosol Assimilation in the NASA GEOS system da Silva, Arlindo Todling, Ricardo Buchard, Virginie Unclassified, Unlimited, Publicly available December 10, 2018 application/pdf http://hdl.handle.net/2060/20180008517 unknown Document ID: 20180008517 http://hdl.handle.net/2060/20180008517 Copyright, Public use permitted CASI Geosciences (General) GSFC-E-DAA-TN63847 AGU 2018 Fall Meeting; 10-14 Dec. 2018; Washington, D.C.; United States 2018 ftnasantrs 2019-01-05T23:47:03Z In the GEOS near real-time system, as well as in MERRA-2 which is the latest reanalysis produced at NASA's Global Modeling Assimilation Office (GMAO), the assimilation of aerosol observations is performed by means of a so-called analysis splitting method. The prognostic model is based on the GEOS model radiatively coupled to GOCART module and includes assimilation of bias-corrected Aerosol Optical Depth (AOD) at 550 nm from various space-based remote sensing platforms. In line with the transition of the GEOS meteorological data assimilation system to a hybrid Ensemble-Variational formulation, we are updating the aerosol component of our assimilation system to an ensemble square-root filter (EnSRF) type of scheme. In this talk we will examine the impact of replacing the current analysis splitting scheme with the new EnSRF approach. Starting with the assimilation of satellite based single-channel retrievals; we will discuss the impact of this aerosol data assimilation technique on the 3D aerosol distributions by means of innovation statistics and verification against independent datasets such as the Aerosol Robotic Network (AERONET) and surface PM2.5. We will also present preliminary results related to the introduction of new aerosol data types in GEOS, including multi-spectral AOD retrievals. Other/Unknown Material Aerosol Robotic Network NASA Technical Reports Server (NTRS) Merra ENVELOPE(12.615,12.615,65.816,65.816) |
institution |
Open Polar |
collection |
NASA Technical Reports Server (NTRS) |
op_collection_id |
ftnasantrs |
language |
unknown |
topic |
Geosciences (General) |
spellingShingle |
Geosciences (General) da Silva, Arlindo Todling, Ricardo Buchard, Virginie Aerosol Assimilation in the NASA GEOS system |
topic_facet |
Geosciences (General) |
description |
In the GEOS near real-time system, as well as in MERRA-2 which is the latest reanalysis produced at NASA's Global Modeling Assimilation Office (GMAO), the assimilation of aerosol observations is performed by means of a so-called analysis splitting method. The prognostic model is based on the GEOS model radiatively coupled to GOCART module and includes assimilation of bias-corrected Aerosol Optical Depth (AOD) at 550 nm from various space-based remote sensing platforms. In line with the transition of the GEOS meteorological data assimilation system to a hybrid Ensemble-Variational formulation, we are updating the aerosol component of our assimilation system to an ensemble square-root filter (EnSRF) type of scheme. In this talk we will examine the impact of replacing the current analysis splitting scheme with the new EnSRF approach. Starting with the assimilation of satellite based single-channel retrievals; we will discuss the impact of this aerosol data assimilation technique on the 3D aerosol distributions by means of innovation statistics and verification against independent datasets such as the Aerosol Robotic Network (AERONET) and surface PM2.5. We will also present preliminary results related to the introduction of new aerosol data types in GEOS, including multi-spectral AOD retrievals. |
format |
Other/Unknown Material |
author |
da Silva, Arlindo Todling, Ricardo Buchard, Virginie |
author_facet |
da Silva, Arlindo Todling, Ricardo Buchard, Virginie |
author_sort |
da Silva, Arlindo |
title |
Aerosol Assimilation in the NASA GEOS system |
title_short |
Aerosol Assimilation in the NASA GEOS system |
title_full |
Aerosol Assimilation in the NASA GEOS system |
title_fullStr |
Aerosol Assimilation in the NASA GEOS system |
title_full_unstemmed |
Aerosol Assimilation in the NASA GEOS system |
title_sort |
aerosol assimilation in the nasa geos system |
publishDate |
2018 |
url |
http://hdl.handle.net/2060/20180008517 |
op_coverage |
Unclassified, Unlimited, Publicly available |
long_lat |
ENVELOPE(12.615,12.615,65.816,65.816) |
geographic |
Merra |
geographic_facet |
Merra |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
CASI |
op_relation |
Document ID: 20180008517 http://hdl.handle.net/2060/20180008517 |
op_rights |
Copyright, Public use permitted |
_version_ |
1766404350421237760 |