Developing large-scale forcing data for single-column and cloud-resolving models from the Mixed-Phase Arctic Cloud Experiment
Abstract
[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 thismore »
- Authors:
-
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- State Univ. of New York, Stony Brook, NY (United States). Marine Sciences Research Center
- Publication Date:
- Research Org.:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1305861
- Report Number(s):
- UCRL-JRNL-216375
Journal ID: ISSN 0148-0227; JGREA2
- Grant/Contract Number:
- AC52-07NA27344
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Geophysical Research
- Additional Journal Information:
- Journal Volume: 111; Journal Issue: D19; Journal ID: ISSN 0148-0227
- Publisher:
- American Geophysical Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 58 GEOSCIENCES; 54 ENVIRONMENTAL SCIENCES
Citation Formats
Xie, Shaocheng, Klein, Stephen A., Zhang, Minghua, Yio, John J., Cederwall, Richard T., and McCoy, Renata. Developing large-scale forcing data for single-column and cloud-resolving models from the Mixed-Phase Arctic Cloud Experiment. United States: N. p., 2006.
Web. doi:10.1029/2005JD006950.
Xie, Shaocheng, Klein, Stephen A., Zhang, Minghua, Yio, John J., Cederwall, Richard T., & McCoy, Renata. Developing large-scale forcing data for single-column and cloud-resolving models from the Mixed-Phase Arctic Cloud Experiment. United States. https://doi.org/10.1029/2005JD006950
Xie, Shaocheng, Klein, Stephen A., Zhang, Minghua, Yio, John J., Cederwall, Richard T., and McCoy, Renata. Thu .
"Developing large-scale forcing data for single-column and cloud-resolving models from the Mixed-Phase Arctic Cloud Experiment". United States. https://doi.org/10.1029/2005JD006950. https://www.osti.gov/servlets/purl/1305861.
@article{osti_1305861,
title = {Developing large-scale forcing data for single-column and cloud-resolving models from the Mixed-Phase Arctic Cloud Experiment},
author = {Xie, Shaocheng and Klein, Stephen A. and Zhang, Minghua and Yio, John J. and Cederwall, Richard T. and McCoy, Renata},
abstractNote = {[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.},
doi = {10.1029/2005JD006950},
journal = {Journal of Geophysical Research},
number = D19,
volume = 111,
place = {United States},
year = {Thu Oct 05 00:00:00 EDT 2006},
month = {Thu Oct 05 00:00:00 EDT 2006}
}
Web of Science
Works referenced in this record:
Comparison of SCM and CSRM forcing data derived from the ECMWF model and from objective analysis at the ARM SGP site
journal, January 2003
- Xie, Shaocheng
- Journal of Geophysical Research, Vol. 108, Issue D16
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
- Xie, Shaocheng
- Journal of Geophysical Research, Vol. 110, Issue D15
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
- Xie, Shaocheng
- Journal of Geophysical Research, Vol. 109, Issue D1
Ensemble single column modeling (ESCM) in the tropical western Pacific: Forcing data sets and uncertainty analysis
journal, January 2005
- Hume, Timothy
- Journal of Geophysical Research, Vol. 110, Issue D13
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
- Xie, Shaocheng; Klein, Stephen A.; Yio, John J.
- Journal of Geophysical Research, Vol. 111, Issue D5
Cumulus Microphysics and Climate Sensitivity
journal, July 2005
- Del Genio, Anthony D.; Kovari, William; Yao, Mao-Sung
- Journal of Climate, Vol. 18, Issue 13
Bulk parameterization of air-sea fluxes for Tropical Ocean-Global Atmosphere Coupled-Ocean Atmosphere Response Experiment
journal, February 1996
- Fairall, C. W.; Bradley, E. F.; Rogers, D. P.
- Journal of Geophysical Research: Oceans, Vol. 101, Issue C2
Objective Analysis of ARM IOP Data: Method and Sensitivity
journal, February 2001
- Zhang, M. H.; Lin, J. L.; Cederwall, R. T.
- Monthly Weather Review, Vol. 129, Issue 2
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
- Zhang, M. H.; Lin, J. L.
- Journal of the Atmospheric Sciences, Vol. 54, Issue 11
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
- Jiang, Hongli; Cotton, William R.; Pinto, James O.
- Journal of the Atmospheric Sciences, Vol. 57, Issue 13
Modeling clouds and radiation for the November 1997 period of SHEBA using a column climate model
journal, March 1999
- Pinto, James O.; Curry, Judith A.; Lynch, Amanda H.
- Journal of Geophysical Research: Atmospheres, Vol. 104, Issue D6
An Operational Objective Analysis System
journal, October 1959
- Cressman, George P.
- Monthly Weather Review, Vol. 87, Issue 10
Single-Column Models and Cloud Ensemble Models as Links between Observations and Climate Models
journal, August 1996
- Randall, David A.; Xu, Kuan-man; Somerville, Richard J. C.
- Journal of Climate, Vol. 9, Issue 8
A Technique for Maximizing Details in Numerical Weather Map Analysis
journal, August 1964
- Barnes, Stanley L.
- Journal of Applied Meteorology, Vol. 3, Issue 4
A New Approach for Obtaining Advection Profiles: Application to the SHEBA Column
journal, March 2004
- Morrison, H.; Pinto, J. O.
- Monthly Weather Review, Vol. 132, Issue 3