Mixed-Phase Arctic Cloud Experiment (M-PACE)
27 September 2004 - 21 October 2004
Lead Scientist: Johannes Verlinde
The major objective of the Mixed-Phase Arctic Cloud Experiment (M-PACE) was to collect a focused set of observations needed to advance our understanding of the dynamical and processes in mixed-phase arctic clouds, including cloud microphysical processes and radiative transfer through these clouds. The M-PACE consisted of four surface-based sites the two DOE-ARM NSA sites Barrow and Atqasuk supplemented by another remote sensing site at Oliktok Point and a radiosonde site in the interior. The Oliktok Point site was equipped with an ARM-like remote sensing facility, supplemented by a tethered balloon equipped with basic met, radiation and CPI capability. Aircraft equipped with the full complement of microphysical and radiation instruments documented cloud properties between these four points. The University of North Dakota Citation was the in situ platform, while the DOE-ARM UAV served as a high-flying remote sensing platform. In addition to its standard set of microphysical measurement systems, the Citation was equipped with the NCAR CCN counter and the CSU IN counter, while the UAV had downward looking cloud radar, lidar and HIS in addition to its complement of in situ microphysical measurement systems. Scientific Requirement (succinct statement of underlying hypothesis or technical goal for proposed research): See http://www.meteo.psu.edu/~verlinde/mpace.html*. This experiment provided critical measurements to make progress in the development of retrieval algorithms for application at the North Slope. Moreover, it provided the physical understanding necessary to parameterize arctic cloud processes. *Link is currently unavailable.
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.
Przybylo V, K Sulia, Z Lebo, and C Schmitt. 2022. "The Ice Particle and Aggregate Simulator (IPAS). Part III: Verification and Analysis of Ice–Aggregate and Aggregate–Aggregate Collection for Microphysical Parameterization." Journal of the Atmospheric Sciences, 79(6), 10.1175/JAS-D-21-0180.1.
Yang J, Y Zhang, Z Wang, and D Zhang. 2022. "Cloud Type and Life Stage Dependency of Liquid–Ice Mass Partitioning in Mixed-Phase Clouds." Remote Sensing, 14(6), 10.3390/rs14061431.
Zhao X and X Liu. 2022. "Primary and secondary ice production: interactions and their relative importance." Atmospheric Chemistry and Physics, 22(4), 10.5194/acp-22-2585-2022.
Kalesse-Los H, W Schimmel, E Luke, and P Seifert. 2022. "Evaluating cloud liquid detection against Cloudnet using cloud radar Doppler spectra in a pre-trained artificial neural network." Atmospheric Measurement Techniques, 15(2), 10.5194/amt-15-279-2022.
Silber I, P McGlynn, J Harrington, and J Verlinde. 2021. "Habit‐Dependent Vapor Growth Modulates Arctic Supercooled Water Occurrence." Geophysical Research Letters, 48(10), e2021GL092767, 10.1029/2021GL092767.
Fridlind A, C Chiu, S Collis, J Comstock, S Giangrande, N Hickmon, M Jensen, M Kumjian, P Muradyan, R Newsom, A Sockol, M Sturm, and A Theisen. 2021. ARM Cloud and Precipitation Measurements and Science Group (CPMSG) Workshop Report. Ed. by Robert Stafford, ARM user facility. DOE/SC-ARM-21-005.
Zhao X, X Liu, V Phillips, and S Patade. 2021. "Impacts of secondary ice production on Arctic mixed-phase clouds based on ARM observations and CAM6 single-column model simulations." Atmospheric Chemistry and Physics, 21(7), 10.5194/acp-21-5685-2021.
Dorsey KS, R Jundt, CB Ireland, MR Wasem, RA Stafford, and A Hunzinger. 2021. 2020 Atmospheric Radiation Measurement (ARM) Annual Report. Ed. by Kathryn Dorsey, U.S. Department of Energy. DOE/SC-ARM-20-020.
Bogenschutz P, S Tang, P Caldwell, S Xie, W Lin, and Y Chen. 2020. "The E3SM version 1 single-column model." Geoscientific Model Development, 13(9), 10.5194/gmd-13-4443-2020.
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Campaign Data Sets
|IOP Participant||Data Source Name||Final Data|
|Chad Bahrmann||METAR||Order Data|
|Maria Cadeddu||Microwave Radiometer Profiler||Order Data|
|Paul DeMott||Continuous Flow Thermal Diffusion Chamber - Aboard Aircraft||Order Data|
|Andrew Heymsfield||Cloud Particle Imager (CPI)||Order Data|
|Greg Kok||Cloud Spectrometer and Impactor (CSI)||Order Data|
|Chuck Long||Surface Flux Analysis||Order Data|
|James Mather||parsl||Order Data|
|Greg McFarquhar||Microphysical Cloud Properties-McFarquhar-Zhang||Order Data|
|Patrick Minnis||visible infrared solar-infrared split window technique (visst)||Order Data|
|Patrick Minnis||visst||Order Data|
|Victor Morris||Total Sky Imager||Order Data|
|Walter Oechel||ameriflux-ecor||Order Data|
|Michael Poellot||Citation||Order Data|
|Israel Silber||ice properties retrieved using a Bayesian type algorithm||Order Data|
|Tim Tooman||Proteus||Order Data|
|David Turner||Atmospheric Emitted Radiance Interferometer||Order Data|
|David Turner||MWR Retrievals||Order Data|
|Johannes Verlinde||Radiosonde Data||Order Data|
|Shaocheng Xie||Constrained Variational Objective Analysis Data||Order Data|
|Shaocheng Xie||Eta Model Runs||Order Data|
|Shaocheng Xie||European Centre for Medium Range Weather Forecasting||Order Data|
|Bernard Zak||Tether Sonde||Order Data|