Cloud property retrievals using polarimetric radar: untangling signals of pristine ice and snow
| dc.contributor.author | Kedzuf, Nicholas J., author | |
| dc.contributor.author | Chiu, J. Christine, advisor | |
| dc.contributor.author | van Leeuwen, Peter Jan, committee member | |
| dc.contributor.author | DeMott, Paul, committee member | |
| dc.contributor.author | Chandrasekaran, V., committee member | |
| dc.date.accessioned | 2021-01-11T11:20:22Z | |
| dc.date.available | 2022-01-08T11:20:22Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | Ice and mixed phase clouds are critical components of Earth's climate system via their strong controls on global precipitation distribution and radiation budget. Their microphysical properties have been characterized commonly by polarimetric radar measurements. However, there remains a lack of robust estimates of ice number concentration, due to the difficulty in distinguishing embedded pristine ice from snow aggregates in remote sensing observations. This hinders our ability to study detailed cloud ice microphysical processes from observations. This thesis presents a rigorous method that separates the scattering signals of pristine ice and snow aggregates in scanning polarimetric radar observations to retrieve their respective abundances and sizes for the first time. This method, dubbed ENCORE-ICE, is built on an iterative ensemble retrieval framework. It provides number concentration, median volume diameter, and ice water content of pristine ice and snow aggregates with full error statistics. The retrieved cloud properties are evaluated against in-situ aircraft measurements from a UK field campaign. For a stratiform cloud system with embedded convective features associated with observed ice number concentration of 0.1–10 L–1 and ice water content from 0.01–0.6 g m–3, the retrievals are mainly in the range of 1.0 –15 L–1 and 0.003–0.6 g m–3. To investigate the ice property evolution in a Lagrangian sense, the retrieval method is also applied to along-wind scanning radar measurements from an Atmospheric Radiation Measurement (ARM) campaign in Finland. For the cases presented, snow aggregates are typically of 5–10 mm size in diameter, which is ~10 times larger than pristine ice and thus dominates radar reflectivity. However, the partitioning in ice water content between pristine ice and aggregates varies and largely depends on ice number concentration. More importantly, the retrieved pristine ice number concentration exceeds the predicted concentration of primary ice nuclei at a mid-cloud temperature of –15°C by two orders of magnitude, suggesting possible secondary ice production, one of the outstanding issues in cloud physics. This highlights the potential of using ENCORE-ICE to identify secondary ice production events and understand their trigger mechanisms. | |
| dc.format.medium | born digital | |
| dc.format.medium | masters theses | |
| dc.identifier | Kedzuf_colostate_0053N_16377.pdf | |
| dc.identifier.uri | https://hdl.handle.net/10217/219561 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | 2020- | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.title | Cloud property retrievals using polarimetric radar: untangling signals of pristine ice and snow | |
| dc.type | Text | |
| dcterms.embargo.expires | 2022-01-08 | |
| dcterms.embargo.terms | 2022-01-08 | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | Atmospheric Science | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science (M.S.) |
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