A global coupled ensemble data assimilation system using the Community Earth System Model and the Data Assimilation Research Testbed
Abstract
In this paper, we present a description of the CESM/DART ensemble coupled data assimilation (DA) system based on the Community Earth System Model (CESM) and the Data Assimilation Research Testbed (DART) assimilation software. The CESM/DART should be viewed as a flexible system to support the DA needs of the CESM research community and not as a static reanalysis product. In this implementation of the CESM/DART, conventional insitu observations of the ocean and atmosphere are assimilated into the respective component models of the CESM using a 30-member ensemble adjustment Kalman filter (EAKF). CESM/DART is run in a “weakly coupled” configuration wherein observations native to each climate system component only directly impact the state vector for that component. Information is passed between components indirectly through the short-term coupled model forecasts that provide the EAKF background ensemble. This system leverages previous ensemble DA development for the Community Atmosphere Model and Parallel Ocean Program models using the DART EAKF. The CESM/DART project is a step towards providing increasingly useful DA capabilities for the CESM research community. Results are presented for our prototype 12-year reanalysis, run from 1970 to mid 1982. Multiple lines of evidence demonstrate that the system is capable of constraining the CESMmore »
- Authors:
-
- National Center for Atmospheric Research (NCAR), Boulder, CO (United States)
- Cooperative Institute for Research in Environmental Sciences (CIRES), Boulder, CO (United States)
- External contractor to National Center for Atmospheric Research (NCAR), Boulder, CO (United States)
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC); Univ. of California, Oakland, CA (United States); University Corporation for Atmospheric Research, Boulder, CO (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1543483
- Alternate Identifier(s):
- OSTI ID: 1487157
- Grant/Contract Number:
- AC02-05CH11231; FC02-97ER62402; DE‐AC02‐05CH11231
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Quarterly Journal of the Royal Meteorological Society
- Additional Journal Information:
- Journal Volume: 144; Journal Issue: 717; Journal ID: ISSN 0035-9009
- Publisher:
- Royal Meteorological Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; meteorology & atmospheric sciences; Community Earth System Model; coupled data assimilation; coupled reanalysis; Data Assimilation Research Testbed; ensemble assimilation; ensemble Kalman filter; modular data assimilation
Citation Formats
Karspeck, Alicia R., Danabasoglu, Gokhan, Anderson, Jeffrey, Karol, Svetlana, Collins, Nancy, Vertenstein, Mariana, Raeder, Kevin, Hoar, Tim, Neale, Richard, Edwards, Jim, and Craig, Anthony. A global coupled ensemble data assimilation system using the Community Earth System Model and the Data Assimilation Research Testbed. United States: N. p., 2018.
Web. doi:10.1002/qj.3308.
Karspeck, Alicia R., Danabasoglu, Gokhan, Anderson, Jeffrey, Karol, Svetlana, Collins, Nancy, Vertenstein, Mariana, Raeder, Kevin, Hoar, Tim, Neale, Richard, Edwards, Jim, & Craig, Anthony. A global coupled ensemble data assimilation system using the Community Earth System Model and the Data Assimilation Research Testbed. United States. https://doi.org/10.1002/qj.3308
Karspeck, Alicia R., Danabasoglu, Gokhan, Anderson, Jeffrey, Karol, Svetlana, Collins, Nancy, Vertenstein, Mariana, Raeder, Kevin, Hoar, Tim, Neale, Richard, Edwards, Jim, and Craig, Anthony. Mon .
"A global coupled ensemble data assimilation system using the Community Earth System Model and the Data Assimilation Research Testbed". United States. https://doi.org/10.1002/qj.3308. https://www.osti.gov/servlets/purl/1543483.
@article{osti_1543483,
title = {A global coupled ensemble data assimilation system using the Community Earth System Model and the Data Assimilation Research Testbed},
author = {Karspeck, Alicia R. and Danabasoglu, Gokhan and Anderson, Jeffrey and Karol, Svetlana and Collins, Nancy and Vertenstein, Mariana and Raeder, Kevin and Hoar, Tim and Neale, Richard and Edwards, Jim and Craig, Anthony},
abstractNote = {In this paper, we present a description of the CESM/DART ensemble coupled data assimilation (DA) system based on the Community Earth System Model (CESM) and the Data Assimilation Research Testbed (DART) assimilation software. The CESM/DART should be viewed as a flexible system to support the DA needs of the CESM research community and not as a static reanalysis product. In this implementation of the CESM/DART, conventional insitu observations of the ocean and atmosphere are assimilated into the respective component models of the CESM using a 30-member ensemble adjustment Kalman filter (EAKF). CESM/DART is run in a “weakly coupled” configuration wherein observations native to each climate system component only directly impact the state vector for that component. Information is passed between components indirectly through the short-term coupled model forecasts that provide the EAKF background ensemble. This system leverages previous ensemble DA development for the Community Atmosphere Model and Parallel Ocean Program models using the DART EAKF. The CESM/DART project is a step towards providing increasingly useful DA capabilities for the CESM research community. Results are presented for our prototype 12-year reanalysis, run from 1970 to mid 1982. Multiple lines of evidence demonstrate that the system is capable of constraining the CESM coupled model to simulate the historical variability of the climate system in the well-observed Northern Hemisphere. A collection of monthly average variables, climate mode indices, observation diagnostics and snapshots of synoptic weather in the ocean and atmosphere are compared to established datasets, showing especially good agreement in the Northern Hemisphere. A discussion of the CESM/DART as a modular, community facility and the benefits and challenges associated with this vision is also included.},
doi = {10.1002/qj.3308},
journal = {Quarterly Journal of the Royal Meteorological Society},
number = 717,
volume = 144,
place = {United States},
year = {2018},
month = {4}
}
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Figures / Tables:
Figure 1: Schematic diagram of the CESM coupled model in the multi-instance configuration. Each model component can have multiple instances, but a single coupler manages the communication of all fluxes between components.
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