Ice processes in Antarctica: identification via multi-wavelength active and passive measurements and model evaluation (Final Report)
- Univ. of Leicester (United Kingdom)
- NASA Goddard Inst. for Space Studies (GISS), New York, NY (United States)
- Univ. of Cologne (Germany)
This project is based on new multi-frequency radar observations collected during the AWARE field campaign in 2016 at McMurdo Station by the ARM Mobile facility. Three scientific goals have been achieved. We have developed ice and mixed-phase cloud microphysics retrievals from multi-wavelength radar observations and ancillary observations, generally applicable at ARM sites. These technique generally better characterize the size of the ice crystals, their equivalent water content and the degree of riming better than using single wavelength techniques. We have characterized ice microphysical properties and ice processes via multi-frequency signatures. We have identified a unique mode in the McMurdo dataset appearing at quite cold temperature that we have attributed to riming processes. Triple frequency radar measurements unfortunately were available only for a short period but our work lays the foundation for building climatological and testing their replicability in models. Simultaneously case studies from the AWARE campaign have been exploited to evaluate and improve the NASA GISS ModelE3 climate model, including selection of case studies for combined goals of (i) running side-by-side using large-eddy simulation (LES) and ModelE3 in single-column model (SCM) mode and (ii) fingerprinting cloud processes in multi-wavelength radar observations. The different components of this work have contributed to 15 published papers with two currently under review.
- Research Organization:
- Univ. of Leicester (United Kingdom)
- Sponsoring Organization:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- DOE Contract Number:
- SC0017967
- OSTI ID:
- 1835854
- Report Number(s):
- DOE-Leicester-17967
- Resource Relation:
- Related Information: Battaglia, A., Tanelli, S., Tridon, F., Kneifel, S., Leinonen, J., and Kollias, P., 2020: Triple-Frequency Radar Retrievals, chapter in Satellite Precipitation Measurement, edited by: Levizzani, V., Kidd, C., Kirschbaum, D., Kummerow, C., Nakamura, K., and Turk, F., Springer Nature, Cham, Advances in Global Change Research.Kalogeras, P.; Battaglia, A.; Kollias, P., 2021: Supercooled Liquid Water Detection Capabilities from Ka-Band Doppler Profiling Radars: Moment-Based Algorithm Formulation and Assessment. Remote Sens. 2021, 13, 2891. https://doi.org/10.3390/rs13152891
- Country of Publication:
- United States
- Language:
- English
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