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Title: Developing large-scale forcing data for single-column and cloud-resolving models from the Mixed-Phase Arctic Cloud Experiment

Journal Article · · Journal of Geophysical Research
DOI:https://doi.org/10.1029/2005JD006950· OSTI ID:1305861
 [1];  [1];  [2];  [1];  [1];  [1]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
  2. State Univ. of New York, Stony Brook, NY (United States). Marine Sciences Research Center
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[1] This study represents an effort to develop Single-Column Model (SCM) and Cloud-Resolving Model large-scale forcing data from a sounding array in the high latitudes. An objective variational analysis approach is used to process data collected from the Atmospheric Radiation Measurement Program (ARM) Mixed-Phase Arctic Cloud Experiment (M-PACE), which was conducted over the North Slope of Alaska in October 2004. In this method the observed surface and top of atmosphere measurements are used as constraints to adjust the sounding data from M-PACE in order to conserve column-integrated mass, heat, moisture, and momentum. Several important technical and scientific issues related to the data analysis are discussed. It is shown that the analyzed data reasonably describe the dynamic and thermodynamic features of the Arctic cloud systems observed during M-PACE. Uncertainties in the analyzed forcing fields are roughly estimated by examining the sensitivity of those fields to uncertainties in the upper-air data and surface constraints that are used in the analysis. Impacts of the uncertainties in the analyzed forcing data on SCM simulations are discussed. Results from the SCM tests indicate that the bulk features of the observed Arctic cloud systems can be captured qualitatively well using the forcing data derived in this study, and major model errors can be detected despite the uncertainties that exist in the forcing data as illustrated by the sensitivity tests. Lastly, the possibility of using the European Center for Medium-Range Weather Forecasts analysis data to derive the large-scale forcing over the Arctic region is explored.

Research Organization:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Organization:
USDOE
Grant/Contract Number:
AC52-07NA27344
OSTI ID:
1305861
Report Number(s):
UCRL-JRNL-216375; JGREA2
Journal Information:
Journal of Geophysical Research, Vol. 111, Issue D19; ISSN 0148-0227
Publisher:
American Geophysical UnionCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 20 works
Citation information provided by
Web of Science

References (15)

Comparison of SCM and CSRM forcing data derived from the ECMWF model and from objective analysis at the ARM SGP site journal January 2003
Simulations of midlatitude frontal clouds by single-column and cloud-resolving models during the Atmospheric Radiation Measurement March 2000 cloud intensive operational period journal January 2005
Developing long-term single-column model/cloud system–resolving model forcing data using numerical weather prediction products constrained by surface and top of the atmosphere observations journal January 2004
Ensemble single column modeling (ESCM) in the tropical western Pacific: Forcing data sets and uncertainty analysis journal January 2005
An assessment of ECMWF analyses and model forecasts over the North Slope of Alaska using observations from the ARM Mixed-Phase Arctic Cloud Experiment journal January 2006
Cumulus Microphysics and Climate Sensitivity journal July 2005
Bulk parameterization of air-sea fluxes for Tropical Ocean-Global Atmosphere Coupled-Ocean Atmosphere Response Experiment journal February 1996
Objective Analysis of ARM IOP Data: Method and Sensitivity journal February 2001
Constrained Variational Analysis of Sounding Data Based on Column-Integrated Budgets of Mass, Heat, Moisture, and Momentum: Approach and Application to ARM Measurements journal June 1997
Cloud Resolving Simulations of Mixed-Phase Arctic Stratus Observed during BASE: Sensitivity to Concentration of Ice Crystals and Large-Scale Heat and Moisture Advection journal July 2000
Modeling clouds and radiation for the November 1997 period of SHEBA using a column climate model journal March 1999
An Operational Objective Analysis System journal October 1959
Single-Column Models and Cloud Ensemble Models as Links between Observations and Climate Models journal August 1996
A Technique for Maximizing Details in Numerical Weather Map Analysis journal August 1964
A New Approach for Obtaining Advection Profiles: Application to the SHEBA Column journal March 2004

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