Editorial Type:
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Article Type:
Research Article

An Evaluation of Five ARW-WRF Microphysics Schemes Using Synthetic GOES Imagery for an Atmospheric River Event Affecting the California Coast

Isidora Jankov Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado
NOAA/ESRL/Global Systems Division, Boulder, Colorado

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Lewis D. Grasso Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado

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Manajit Sengupta Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado

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Paul J. Neiman NOAA/ESRL/Physical Sciences Division, Boulder, Colorado

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Dusanka Zupanski Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado

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Milija Zupanski Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado

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Daniel Lindsey Regional and Mesoscale Meteorology Branch, Colorado State University, Fort Collins, Colorado
Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado

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Donald W. Hillger Regional and Mesoscale Meteorology Branch, Colorado State University, Fort Collins, Colorado
Regional and Mesoscale Meteorology Branch, Colorado State University, Fort Collins, Colorado

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Daniel L. Birkenheuer NOAA/ESRL/Global Systems Division, Boulder, Colorado

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Renate Brummer Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado
NOAA/ESRL/Global Systems Division, Boulder, Colorado

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Huiling Yuan School of Atmospheric Sciences, and Key Laboratory of Mesoscale Severe Weather/Ministry of Education, Nanjing University, Nanjing, China

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Print Publication:
01 Aug 2011
DOI:
https://doi.org/10.1175/2010JHM1282.1
Page(s):
618–633
Restricted access

Abstract

The main purpose of the present study is to assess the value of synthetic satellite imagery as a tool for model evaluation performance in addition to more traditional approaches. For this purpose, synthetic GOES-10 imagery at 10.7 μm was produced using output from the Advanced Research Weather Research and Forecasting (ARW-WRF) numerical model. Use of synthetic imagery is a unique method to indirectly evaluate the performance of various microphysical schemes available within the ARW-WRF. In the present study, a simulation of an atmospheric river event that occurred on 30 December 2005 was used. The simulations were performed using the ARW-WRF numerical model with five different microphysical schemes [Lin, WRF single-moment 6 class (WSM6), Thompson, Schultz, and double-moment Morrison]. Synthetic imagery was created and scenes from the simulations were statistically compared with observations from the 10.7-μm band of the GOES-10 imager using a histogram-based technique. The results suggest that synthetic satellite imagery is useful in model performance evaluations as a complementary metric to those used traditionally. For example, accumulated precipitation analyses and other commonly used fields in model evaluations suggested a good agreement among solutions from various microphysical schemes, while the synthetic imagery analysis pointed toward notable differences in simulations of clouds among the microphysical schemes.

Corresponding author address: Isidora Jankov, 325 Broadway, GSD7, Boulder, CO 80305. E-mail: isidora.jankov@noaa.gov

Abstract

The main purpose of the present study is to assess the value of synthetic satellite imagery as a tool for model evaluation performance in addition to more traditional approaches. For this purpose, synthetic GOES-10 imagery at 10.7 μm was produced using output from the Advanced Research Weather Research and Forecasting (ARW-WRF) numerical model. Use of synthetic imagery is a unique method to indirectly evaluate the performance of various microphysical schemes available within the ARW-WRF. In the present study, a simulation of an atmospheric river event that occurred on 30 December 2005 was used. The simulations were performed using the ARW-WRF numerical model with five different microphysical schemes [Lin, WRF single-moment 6 class (WSM6), Thompson, Schultz, and double-moment Morrison]. Synthetic imagery was created and scenes from the simulations were statistically compared with observations from the 10.7-μm band of the GOES-10 imager using a histogram-based technique. The results suggest that synthetic satellite imagery is useful in model performance evaluations as a complementary metric to those used traditionally. For example, accumulated precipitation analyses and other commonly used fields in model evaluations suggested a good agreement among solutions from various microphysical schemes, while the synthetic imagery analysis pointed toward notable differences in simulations of clouds among the microphysical schemes.

Corresponding author address: Isidora Jankov, 325 Broadway, GSD7, Boulder, CO 80305. E-mail: isidora.jankov@noaa.gov
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