气候变化领域集成服务门户(CCPortal): Evaluating the Impact of Planetary Boundary Layer, Land Surface Model, and Microphysics Parameterization Schemes on Cold Cloud Objects in Simulated GOES-16 Brightness Temperatures

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DOI	10.1029/2021JD034709
	Evaluating the Impact of Planetary Boundary Layer, Land Surface Model, and Microphysics Parameterization Schemes on Cold Cloud Objects in Simulated GOES-16 Brightness Temperatures
	Griffin S.M.; Otkin J.A.; Nebuda S.E.; Jensen T.L.; Skinner P.S.; Gilleland E.; Supinie T.A.; Xue M.
发表日期	2021
ISSN	2169-897X
卷号	126 期号:15
英文摘要	Infrared brightness temperatures (BTs) from the Geostationary Observing Environmental Satellite-16 Advanced Baseline Imager are used to examine the ability of several microphysics and planetary boundary layer (PBL) schemes, as well as land surface models (LSM) and surface layers, to simulate upper-level clouds. Six parameterization configurations were evaluated. Cloud objects are identified using the Method for Object-Based Diagnostic Evaluation (MODE) and analyzed using the object-based threat score, mean-error distance, and pixel-based metrics including the mean absolute error and mean bias error (MBE) for matched objects where the displacement between objects has been removed. Objects are identified using either a fixed BT threshold of 235 K or the 6.5th percentile of BTs for each model configuration. Analysis of the MODE-identified cloud objects shows that, compared to a configuration with the Thompson microphysics scheme, Mellor-Yamanda-Nakanishi-Niino (MYNN) PBL, Global Forecasting System (GFS) surface layer, and Noah LSM, the configuration employing the National Severe Storms Laboratory microphysics produced more cloud objects with higher BTs. Changing the PBL from MYNN to Shin-Hong or Eddy-Diffusivity Mass-Flux also resulted in a slightly lower accuracy, though these changes result in configurations which more accurately reproduced the number of observation cloud objects and slightly reduced the high MBE. Changing the LSM from Noah to RUC reduces forecast accuracy by producing too many cloud objects with too low BTs. As the forecast hour increases, this accuracy reduction increases at a greater rate than occurred when changing the microphysics or PBL scheme and is further enhanced when using the MYNN surface layer rather than the GFS. © 2021. American Geophysical Union. All Rights Reserved.
英文关键词	brightness temperatures; clouds; microphysics schemes; model verification; object-based statistics; planetary boundary layer schemes
来源期刊	Journal of Geophysical Research: Atmospheres
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/237089
作者单位	Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison, Madison, WI, United States; National Center for Atmospheric Research/Research Applications Laboratory and Developmental Testbed Center, Boulder, CO, United States; Cooperative Institute for Mesoscale Meteorological Studies, University of Oklahoma, Norman, OK, United States; NOAA/National Severe Storms Laboratory, University of Oklahoma, Norman, OK, United States; School of Meteorology, University of Oklahoma, Norman, OK, United States; Center for Analysis and Prediction of Storms, University of Oklahoma, Norman, OK, United States
推荐引用方式 GB/T 7714	Griffin S.M.,Otkin J.A.,Nebuda S.E.,et al. Evaluating the Impact of Planetary Boundary Layer, Land Surface Model, and Microphysics Parameterization Schemes on Cold Cloud Objects in Simulated GOES-16 Brightness Temperatures[J],2021,126(15).
APA	Griffin S.M..,Otkin J.A..,Nebuda S.E..,Jensen T.L..,Skinner P.S..,...&Xue M..(2021).Evaluating the Impact of Planetary Boundary Layer, Land Surface Model, and Microphysics Parameterization Schemes on Cold Cloud Objects in Simulated GOES-16 Brightness Temperatures.Journal of Geophysical Research: Atmospheres,126(15).
MLA	Griffin S.M.,et al."Evaluating the Impact of Planetary Boundary Layer, Land Surface Model, and Microphysics Parameterization Schemes on Cold Cloud Objects in Simulated GOES-16 Brightness Temperatures".Journal of Geophysical Research: Atmospheres 126.15(2021).