A method for transporting cloud-resolving model variance in a multiscale modeling framework
-
Published:2022-12-16
Issue:24
Volume:15
Page:8999-9013
-
ISSN:1991-9603
-
Container-title:Geoscientific Model Development
-
language:en
-
Short-container-title:Geosci. Model Dev.
Author:
Hannah Walter,Pressel Kyle
Abstract
Abstract. An unphysical checkerboard pattern has recently been identified in the multiscale modeling framework configuration of the Energy Exascale Earth System Model (E3SM-MMF) that is hypothesized to be associated with the inability of large-scale dynamics to transport fluctuations within the embedded cloud-resolving model (CRM) on the global grid. To address this issue, a method is presented to facilitate the large-scale transport of CRM variance in E3SM-MMF. Simulation results show that the method is effective at reducing the occurrence of unphysical checkerboard patterns on a range of timescales from days to years. This result is confirmed both subjectively through visual inspection and quantitatively with a previously developed
pattern categorization technique. The CRM variance transport does not significantly alter the model climate, although it does tend to reduce temporal variance on fields associated with convection on the global grid.
Funder
U.S. Department of Energy
Publisher
Copernicus GmbH
Reference33 articles.
1. Anjum, M. N., Ding, Y., Shangguan, D., Ahmad, I., Ijaz, M. W., Farid, H. U.,
Yagoub, Y. E., Zaman, M., and Adnan, M.: Performance evaluation of latest
integrated multi-satellite retrievals for Global Precipitation Measurement
(IMERG) over the northern highlands of Pakistan, Atmos. Res., 205,
134–146, https://doi.org/10.1016/J.ATMOSRES.2018.02.010, 2018. a 2. Benedict, J. J. and Randall, D. A.: Impacts of Idealized Air–Sea Coupling on
Madden–Julian Oscillation Structure in the Superparameterized CAM, J. Atmos. Sci., 68, 1990–2008, https://doi.org/10.1175/JAS-D-11-04.1,
2011. a 3. DeMott, C. A., Stan, C., Randall, D. A., and Branson, M. D.: Intraseasonal
Variability in Coupled GCMs: The Roles of Ocean Feedbacks and Model Physics,
J. Climate, 27, 4970–4995, https://doi.org/10.1175/JCLI-D-13-00760.1, 2014. a 4. Elsaesser, G. S., O'Dell, C. W., Lebsock, M. D., Bennartz, R., Greenwald,
T. J., and Wentz, F. J.: The Multisensor Advanced Climatology of Liquid
Water Path (MAC-LWP), J. Climate, 30, 10193–10210,
https://doi.org/10.1175/JCLI-D-16-0902.1, 2017. a, b 5. Golaz, J., Caldwell, P. M., Van Roekel, L. P., Petersen, M. R., Tang, Q.,
Wolfe, J. D., Abeshu, G., Anantharaj, V., Asay‐Davis, X. S., Bader, D. C.,
Baldwin, S. A., Bisht, G., Bogenschutz, P. A., Branstetter, M., Brunke,
M. A., Brus, S. R., Burrows, S. M., Cameron‐Smith, P. J., Donahue, A. S.,
Deakin, M., Easter, R. C., Evans, K. J., Feng, Y., Flanner, M., Foucar,
J. G., Fyke, J. G., Griffin, B. M., Hannay, C., Harrop, B. E., Hunke, E. C.,
Jacob, R. L., Jacobsen, D. W., Jeffery, N., Jones, P. W., Keen, N. D., Klein,
S. A., Larson, V. E., Leung, L. R., Li, H., Lin, W., Lipscomb, W. H., Ma, P.,
Mahajan, S., Maltrud, M. E., Mametjanov, A., McClean, J. L., McCoy, R. B.,
Neale, R. B., Price, S. F., Qian, Y., Rasch, P. J., Reeves Eyre, J. J.,
Riley, W. J., Ringler, T. D., Roberts, A. F., Roesler, E. L., Salinger,
A. G., Shaheen, Z., Shi, X., Singh, B., Tang, J., Taylor, M. A., Thornton,
P. E., Turner, A. K., Veneziani, M., Wan, H., Wang, H., Wang, S., Williams,
D. N., Wolfram, P. J., Worley, P. H., Xie, S., Yang, Y., Yoon, J., Zelinka,
M. D., Zender, C. S., Zeng, X., Zhang, C., Zhang, K., Zhang, Y., Zheng, X.,
Zhou, T., and Zhu, Q.: The DOE E3SM coupled model version 1: Overview and
evaluation at standard resolution, J. Adv. Model. Earth
Sy., 11, 2089–2129, https://doi.org/10.1029/2018MS001603, 2019. a
|
|