TY - JOUR
T1 - Development of fine-resolution analyses and expanded large-scale forcing properties
T2 - 2. Scale awareness and application to single-column model experiments
AU - Feng, Sha
AU - Li, Zhijin
AU - Liu, Yangang
AU - Lin, Wuyin
AU - Zhang, Minghua
AU - Toto, Tami
AU - Vogelmann, Andrew M.
AU - Endo, Satoshi
N1 - Funding Information:
The research described in this publication was supported by the U.S. Department of Energy Earth System Modeling program via the FASTER project (http://www.bnl. gov/faster). This research was carried out, in part, at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration (NASA). The authors are grateful to Ann Fridlind (NASA Goddard Institute for Space Studies) and Leo J. Donner (Geophysical Fluid Dynamics Laboratory) for stimulating the discussions and insightful suggestions. Data from the U.S. Department of Energy’s SGP ARM Climate Research Facility (http://www.arm.gov/) are used in this article. The authors thank the anonymous reviewers for their comments that were very helpful in improving the manuscript.
Publisher Copyright:
© 2014. American Geophysical Union. All Rights Reserved.
PY - 2015/1/27
Y1 - 2015/1/27
N2 - Fine-resolution three-dimensional fields have been produced using the Community Gridpoint Statistical Interpolation (GSI) data assimilation system for the U.S. Department of Energy’s Atmospheric Radiation Measurement Program (ARM) Southern Great Plains region. The GSI system is implemented in a multiscale data assimilation framework using theWeather Research and Forecastingmodel at a cloud-resolving resolution of 2 km. From the fine-resolution three-dimensional fields, large-scale forcing is derived explicitly at grid-scale resolution; a subgrid-scale dynamic component is derived separately, representing subgrid-scale horizontal dynamic processes. Analyses show that the subgrid-scale dynamic component is often a major component over the large-scale forcing for grid scales larger than 200 km. The single-column model (SCM) of the Community AtmosphericModel version 5 is used to examine the impact of the grid-scale and subgrid-scale dynamic components on simulated precipitation and cloud fields associated with a mesoscale convective system. It is found that grid-scale size impacts simulated precipitation, resulting in an overestimation for grid scales of about 200 km but an underestimation for smaller grids. The subgrid-scale dynamic component has an appreciable impact on the simulations, suggesting that grid-scale and subgrid-scale dynamic components should be considered in the interpretation of SCM simulations. .
AB - Fine-resolution three-dimensional fields have been produced using the Community Gridpoint Statistical Interpolation (GSI) data assimilation system for the U.S. Department of Energy’s Atmospheric Radiation Measurement Program (ARM) Southern Great Plains region. The GSI system is implemented in a multiscale data assimilation framework using theWeather Research and Forecastingmodel at a cloud-resolving resolution of 2 km. From the fine-resolution three-dimensional fields, large-scale forcing is derived explicitly at grid-scale resolution; a subgrid-scale dynamic component is derived separately, representing subgrid-scale horizontal dynamic processes. Analyses show that the subgrid-scale dynamic component is often a major component over the large-scale forcing for grid scales larger than 200 km. The single-column model (SCM) of the Community AtmosphericModel version 5 is used to examine the impact of the grid-scale and subgrid-scale dynamic components on simulated precipitation and cloud fields associated with a mesoscale convective system. It is found that grid-scale size impacts simulated precipitation, resulting in an overestimation for grid scales of about 200 km but an underestimation for smaller grids. The subgrid-scale dynamic component has an appreciable impact on the simulations, suggesting that grid-scale and subgrid-scale dynamic components should be considered in the interpretation of SCM simulations. .
UR - http://www.scopus.com/inward/record.url?scp=84923207976&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84923207976&partnerID=8YFLogxK
U2 - 10.1002/2014JD022254
DO - 10.1002/2014JD022254
M3 - Article
AN - SCOPUS:84923207976
VL - 120
SP - 667
EP - 677
JO - Journal of Geophysical Research: Atmospheres
JF - Journal of Geophysical Research: Atmospheres
SN - 2169-897X
IS - 2
ER -