Extratropical Cyclone Clouds in the GFDL Climate Model: Diagnosing Biases and the Associated Causes

Naud, Catherine M.; Booth, James F.; Jeyaratnam, Jeyavinoth; Donner, Leo J.; Seman, Charles J.; Zhao, Ming; Guo, Huan; Ming, Yi

doi:10.1175/JCLI-D-19-0421.1

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Extratropical Cyclone Clouds in the GFDL Climate Model: Diagnosing Biases and the Associated Causes

2019
By Naud, Catherine M. ; Booth, James F. ; Jeyaratnam, Jeyavinoth ; ...
Source: Journal of Climate, 32(20), 6685-6701 https://journals.ametsoc.org/view/journals/clim/32/20/jcli-d-19-0421.1.xml

[PDF-2.93 MB]

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Details:

Journal Title:

Journal of Climate
Personal Author:

Naud, Catherine M. ; Booth, James F. ; Jeyaratnam, Jeyavinoth ; Donner, Leo J. ; Seman, Charles J. ; ... More +

Naud, Catherine M. ; Booth, James F. ; Jeyaratnam, Jeyavinoth ; Donner, Leo J. ; Seman, Charles J. ; Zhao, Ming ; Guo, Huan ; Ming, Yi Less -
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; CPO (Climate Program Office) ; GFDL (Geophysical Fluid Dynamics Laboratory) ; CREST (Center for Earth System Sciences and Remote Sensing Technologies and Tech Center at City College of CUNY)

OAR (Oceanic and Atmospheric Research) ; CPO (Climate Program Office) ; GFDL (Geophysical Fluid Dynamics Laboratory) ; CREST (Center for Earth System Sciences and Remote Sensing Technologies and Tech Center at City College of CUNY) Less -
Description:

The clouds in Southern Hemisphere extratropical cyclones generated by the GFDL climate model are analyzed against MODIS, CloudSat, and CALIPSO cloud and precipitation observations. Two model versions are used: one is a developmental version of AM4," a model GFDL that will utilize for CMIP6, and the other is the same model with a different parameterization of moist convection. Both model versions predict a realistic top-of-atmosphere cloud cover in the southern oceans, within 5% of the observations. However, an examination of cloud cover transects in extratropical cyclones reveals a tendency in the models to overestimate high-level clouds (by differing amounts) and underestimate cloud cover at low levels (again by differing amounts), especially in the post-cold frontal (PCF) region, when compared with observations. In focusing only on the models, it is seen that their differences in high and midlevel clouds are consistent with their differences in convective activity and relative humidity (RH), but the same is not true for the PCF region. In this region, RH is higher in the model with less cloud fraction. These seemingly contradictory cloud and RH differences can be explained by differences in the cloud-parameterization tuning parameters that ensure radiative balance. In the PCF region, the model cloud differences are smaller than either of the model biases with respect to observations, suggesting that other physics changes are needed to address the bias. The process-oriented analysis used to assess these model differences will soon be automated and shared."
Keywords:

[+]

Atmospheric Sciences Boundary-layer; Cold Cloud Cover Cold Fronts Convective Cover Era-interim Extratropical Cyclones Frontal Clouds Fronts General Circulation Models Global Atmosphere Meteorology Model Evaluation Modis Parameterization Performance Simulation
Source:

Journal of Climate, 32(20), 6685-6701 https://journals.ametsoc.org/view/journals/clim/32/20/jcli-d-19-0421.1.xml
DOI:

https://doi.org/10.1175/JCLI-D-19-0421.1
Document Type:

Journal Article
Funding:

Grant no. NA15OAR4310094
Place as Subject:

Antarctic Ocean
Rights Information:

Other
Compliance:

Submitted
Main Document Checksum:

[+]

urn:sha256:d0ed234dd4a56c6465a963ee3107062c96a13a1f004a2a0206b38293ff0aeca8
Download URL:

https://repository.library.noaa.gov/view/noaa/29932/noaa_29932_DS1.pdf
File Type:

	Available dataset	htm
	Available dataset	htm
	Machine Readable Version	xml
	Available dataset	htm
	Available dataset	htm

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