Status and Plans for Reanalysis at NASA/GMAO
Reanalysis plays a critical role in GMAOs goal to enhance NASA's program of Earth observations, providing vital data sets for climate research and the development of future missions. As the breadth of NASAs observations expands to include multiple components of the Earth system, so does the nee...
Main Author: | |
---|---|
Format: | Other/Unknown Material |
Language: | unknown |
Published: |
2017
|
Subjects: | |
Online Access: | http://hdl.handle.net/2060/20170011574 |
id |
ftnasantrs:oai:casi.ntrs.nasa.gov:20170011574 |
---|---|
record_format |
openpolar |
spelling |
ftnasantrs:oai:casi.ntrs.nasa.gov:20170011574 2023-05-15T18:18:43+02:00 Status and Plans for Reanalysis at NASA/GMAO Gelaro, Ron Unclassified, Unlimited, Publicly available November 13, 2017 application/pdf http://hdl.handle.net/2060/20170011574 unknown Document ID: 20170011574 http://hdl.handle.net/2060/20170011574 No Copyright, Work of the U.S. Government - Public use permitted CASI Geosciences (General) Earth Resources and Remote Sensing GSFC-E-DAA-TN50124 International Conference on Reanalysis; 13-17 Nov. 2017; Rome; Italy 2017 ftnasantrs 2019-07-20T23:23:11Z Reanalysis plays a critical role in GMAOs goal to enhance NASA's program of Earth observations, providing vital data sets for climate research and the development of future missions. As the breadth of NASAs observations expands to include multiple components of the Earth system, so does the need to assimilate observations from currently uncoupled components of the system in a more physically consistent manner. GMAOs most recent reanalysis of the satellite era, MERRA-2, has completed the period 1980-present, and is now running as a continuing global climate analysis with two- to three-week latency. MERRA-2 assimilates meteorological and aerosol observations as a weakly coupled assimilation system as a first step toward GMAOs longer term goal of developing an integrated Earth system analysis (IESA) capability that will couple assimilation systems for the atmosphere, ocean, land and chemistry. The GMAO strategy is to progress incrementally toward an IESA through an evolving combination of coupled systems and offline component reanalyses driven by, for example, MERRA-2 atmospheric forcing. Most recently, the GMAO has implemented a weakly coupled assimilation scheme for analyzing ocean skin temperature within the existing atmospheric analysis. The scheme uses background fields from a near-surface ocean diurnal layer model to assimilate surface-sensitive radiances plus in-situ observations along with all other observations in the atmospheric assimilation system. In addition, MERRA-2-driven simulations of the ocean (plus sea ice) and atmospheric chemistry (for the EOS period) are currently underway, as is the development of a coupled atmosphere-ocean assimilation system. This talk will describe the status of these ongoing efforts and the planned steps toward an IESA capability for climate research. Other/Unknown Material Sea ice 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) Earth Resources and Remote Sensing |
spellingShingle |
Geosciences (General) Earth Resources and Remote Sensing Gelaro, Ron Status and Plans for Reanalysis at NASA/GMAO |
topic_facet |
Geosciences (General) Earth Resources and Remote Sensing |
description |
Reanalysis plays a critical role in GMAOs goal to enhance NASA's program of Earth observations, providing vital data sets for climate research and the development of future missions. As the breadth of NASAs observations expands to include multiple components of the Earth system, so does the need to assimilate observations from currently uncoupled components of the system in a more physically consistent manner. GMAOs most recent reanalysis of the satellite era, MERRA-2, has completed the period 1980-present, and is now running as a continuing global climate analysis with two- to three-week latency. MERRA-2 assimilates meteorological and aerosol observations as a weakly coupled assimilation system as a first step toward GMAOs longer term goal of developing an integrated Earth system analysis (IESA) capability that will couple assimilation systems for the atmosphere, ocean, land and chemistry. The GMAO strategy is to progress incrementally toward an IESA through an evolving combination of coupled systems and offline component reanalyses driven by, for example, MERRA-2 atmospheric forcing. Most recently, the GMAO has implemented a weakly coupled assimilation scheme for analyzing ocean skin temperature within the existing atmospheric analysis. The scheme uses background fields from a near-surface ocean diurnal layer model to assimilate surface-sensitive radiances plus in-situ observations along with all other observations in the atmospheric assimilation system. In addition, MERRA-2-driven simulations of the ocean (plus sea ice) and atmospheric chemistry (for the EOS period) are currently underway, as is the development of a coupled atmosphere-ocean assimilation system. This talk will describe the status of these ongoing efforts and the planned steps toward an IESA capability for climate research. |
format |
Other/Unknown Material |
author |
Gelaro, Ron |
author_facet |
Gelaro, Ron |
author_sort |
Gelaro, Ron |
title |
Status and Plans for Reanalysis at NASA/GMAO |
title_short |
Status and Plans for Reanalysis at NASA/GMAO |
title_full |
Status and Plans for Reanalysis at NASA/GMAO |
title_fullStr |
Status and Plans for Reanalysis at NASA/GMAO |
title_full_unstemmed |
Status and Plans for Reanalysis at NASA/GMAO |
title_sort |
status and plans for reanalysis at nasa/gmao |
publishDate |
2017 |
url |
http://hdl.handle.net/2060/20170011574 |
op_coverage |
Unclassified, Unlimited, Publicly available |
long_lat |
ENVELOPE(12.615,12.615,65.816,65.816) |
geographic |
Merra |
geographic_facet |
Merra |
genre |
Sea ice |
genre_facet |
Sea ice |
op_source |
CASI |
op_relation |
Document ID: 20170011574 http://hdl.handle.net/2060/20170011574 |
op_rights |
No Copyright, Work of the U.S. Government - Public use permitted |
_version_ |
1766195373345341440 |