Summer Single Column Model IOP

18 June 1997 - 18 July 1997

Lead Scientist: David Randall

Observatory: sgp, sgp

The Summer 1997 SCM IOP was scheduled with the SGP97 Campaign. With additional NASA funding, the IOP was extended so that the total IOP covered 30 days. This IOP was been chosen for a model intercomparison of Single-Column Models (SCMs) and Cloud-Resolving Models (CRMs) conducted jointly by ARM and the GEWEX Cloud System Study (GCSS). In addition, this IOP was chosen for ARM/GCSS case study since it was convectively driven, and the period contained a wide range of summertime weather conditions. The period was characterized by three distinct weather segments: (1) the first segment was dominated by local convection and frequent, heavy precipitation; (2) the next segment was generally clear and hot; (3) the last segment was affected by a large, convective complex with sustained precipitation.

Activity Summary

During the IOP, 1180 sondes were launched, with 4 missing data due to weather related problems and 24 terminating before 10,000 m (10 km).

Timeline

2024

Lavender S, A Stirling, M Whitall, R Stratton, C Daleu, R Plant, A Lock, and J Gu. 2024. "The use of idealised experiments in testing a new convective parametrization: Performance of CoMorph-A." Quarterly Journal of the Royal Meteorological Society, , 10.1002/qj.4660.

2023

Bogenschutz P, C Eldred, and P Caldwell. 2023. "Horizontal Resolution Sensitivity of the Simple Convection‐Permitting E3SM Atmosphere Model in a Doubly‐Periodic Configuration." Journal of Advances in Modeling Earth Systems, 15(7), e2022MS003466, 10.1029/2022MS003466.

Chu W and Y Lin. 2023. "Description and Evaluation of a New Deep Convective Cloud Model Considering In‐cloud Inhomogeneity." Journal of Advances in Modeling Earth Systems, 15(2), e2022MS003119, 10.1029/2022MS003119.

2022

He X, C Lu, X Shi, W Zhang, L Zhu, X Xu, J Li, and D Li. 2022. "Development of a triple-moment ice-phase cloud microphysics scheme and its application to the Single Column Atmosphere Model." Chinese Science Bulletin, , 10.1360/TB-2022-0697.

2021

Zhang T, W Lin, A Vogelmann, M Zhang, S Xie, Y Qin, and J Golaz. 2021. "Improving Convection Trigger Functions in Deep Convective Parameterization Schemes Using Machine Learning." Journal of Advances in Modeling Earth Systems, 13(5), e2020MS002365, 10.1029/2020MS002365.
Research Highlight

2020

Han Y, G Zhang, X Huang, and Y Wang. 2020. "A Moist Physics Parameterization Based on Deep Learning." Journal of Advances in Modeling Earth Systems, 12(9), e2020MS002076, 10.1029/2020MS002076.

2019

Ovchinnikov M, S Giangrande, V Larson, A Protat, and C Williams. 2019. "Dependence of Vertical Alignment of Cloud and Precipitation Properties on Their Effective Fall Speeds." Journal of Geophysical Research: Atmospheres, 124(4), doi:10.1029/2018JD029346.
Research Highlight

2016

Ovchinnikov M, K Lim, V Larson, M Wong, K Thayer-Calder, and S Ghan. 2016. "Vertical overlap of probability density functions of cloud and precipitation hydrometeors." Journal of Geophysical Research: Atmospheres, 121(21), 10.1002/2016jd025158.

Randall D, A Del Genio, L Donner, W Collins, and S Klein. 2016. "The Impact of ARM on Climate Modeling." Meteorological Monographs, 57, 10.1175/AMSMONOGRAPHS-D-15-0050.1.

Tao W, Y Takayabu, S Lang, S Shige, W Olson, A Hou, G Skofronick-Jackson, X Jiang, C Zhang, W Lau, T Krishnamurti, D Waliser, M Grecu, P Ciesielski, R Johnson, R Houze, R Kakar, K Nakamura, S Braun, S Hagos, R Oki, and A Bhardwaj. 2016. "TRMM Latent Heating Retrieval: Applications and Comparisons with Field Campaigns and Large-Scale Analyses." Meteorological Monographs, 56, 10.1175/AMSMONOGRAPHS-D-15-0013.1.


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Campaign Data Sets

IOP Participant Data Source Name Final Data
Mark Miller Weather Survey Radar Order Data
David Randall ncdc-synop-maps Order Data