{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T01:26:03Z","timestamp":1760232363281,"version":"build-2065373602"},"reference-count":45,"publisher":"MDPI AG","issue":"21","license":[{"start":{"date-parts":[[2022,11,1]],"date-time":"2022-11-01T00:00:00Z","timestamp":1667260800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41905020"],"award-info":[{"award-number":["41905020"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The environmental conditions of snow particles with different particle sizes and bulk effective densities over the ocean are explored using a coincidence dataset of National Aeronautics and Space Administration (NASA) CloudSat Cloud Profiling Radar (CPR) and Global Precipitation Mission (GPM) Dual-frequency Precipitation Radar (DPR). Observed triple-frequency radar signatures for snow particles over the ocean are firstly derived. Based on modeled triple-frequency signatures for various snow particles, DFR Ku\/Ka and the ratio of DFR Ku\/Ka to DFR Ku\/W from observations are selected to indicate the snow particle size and bulk effective density, respectively. The dependences of two indicators on temperature, relative humidity and cloud liquid water content are presented. The snow particle size range becomes wider at warmer temperatures, higher relative humidities or lower cloud liquid water contents. At cold temperatures, low relative humidities or high cloud liquid water contents, large snow particles are prevalent. At high cloud liquid water contents, the riming process mainly contributes to the increase in snow particle bulk effective density. When supersaturation occurs, a large portion of snow particles have large sizes and low bulk effective densities at cold temperatures. This study can improve the understanding of snow microphysics and demonstrate the potential of spaceborne radar measurements in global snowfall retrievals.<\/jats:p>","DOI":"10.3390\/rs14215512","type":"journal-article","created":{"date-parts":[[2022,11,2]],"date-time":"2022-11-02T03:36:44Z","timestamp":1667360204000},"page":"5512","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Exploring the Environmental Conditions of Snow Particles Using Spaceborne Triple-Frequency Radar Measurements over Ocean"],"prefix":"10.3390","volume":"14","author":[{"given":"Mengtao","family":"Yin","sequence":"first","affiliation":[{"name":"School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China"}]},{"given":"Cheng","family":"Yuan","sequence":"additional","affiliation":[{"name":"School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,11,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"D11203","DOI":"10.1029\/2010JD015430","article-title":"A triple-frequency approach to retrieve microphysical snowfall parameters","volume":"116","author":"Kneifel","year":"2011","journal-title":"J. Geophys. Res."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"D18205","DOI":"10.1029\/2012JD017680","article-title":"Evidence of nonspheroidal behavior in millimeter-wavelength radar observations of snowfall","volume":"117","author":"Leinonen","year":"2012","journal-title":"J. Geophys. Res."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1080","DOI":"10.1175\/JAMC-D-13-066.1","article-title":"Triple frequency radar reflectivity signatures of snow: Observations and comparisons to theoretical ice particle scattering models","volume":"53","author":"Kulie","year":"2014","journal-title":"J. Appl. Meteorol. Clim."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"6034","DOI":"10.1002\/2015JD023156","article-title":"Observed relations between snowfall microphysics and triple-frequency radar measurements","volume":"120","author":"Kneifel","year":"2015","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1002\/2014JD022072","article-title":"What do triple-frequency radar signatures reveal about aggregate snowflakes?","volume":"120","author":"Leinonen","year":"2015","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"346","DOI":"10.1002\/2015EA000102","article-title":"Radar signatures of snowflake riming: A modeling study","volume":"2","author":"Leinonen","year":"2015","journal-title":"Earth Space Sci."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.jqsrt.2017.02.017","article-title":"Observed differences of triple-frequency radar signatures between snowflakes in stratiform and convective clouds","volume":"193","author":"Yin","year":"2017","journal-title":"J. Quant. Spectrosc. Ra."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"12011","DOI":"10.5194\/acp-17-12011-2017","article-title":"Using snowflake surface-area-to-volume ratio to model and interpret snowfall triple-frequency radar signatures","volume":"17","author":"Gergely","year":"2017","journal-title":"Atmos. Chem. Phys."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"5752","DOI":"10.1029\/2018GL077997","article-title":"Evaluation of Triple-Frequency Radar Retrieval of Snowfall Properties Using Coincident Airborne In Situ Observations During OLYMPEX","volume":"45","author":"Chase","year":"2018","journal-title":"Geophys. Res. Lett."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"5471","DOI":"10.5194\/amt-11-5471-2018","article-title":"Retrieval of snowflake microphysical properties from multifrequency radar observations","volume":"11","author":"Leinonen","year":"2018","journal-title":"Atmos. Meas. Tech."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"7243","DOI":"10.5194\/amt-14-7243-2021","article-title":"Triple-frequency radar retrieval of microphysical properties of snow","volume":"14","author":"Mroz","year":"2021","journal-title":"Atmos. Meas. Tech."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"13273","DOI":"10.1029\/2019JD030721","article-title":"Validation of microphysical snow models using in-situ, multi-frequency and dual-polarization radar measurements in Finland","volume":"124","author":"Tyynela","year":"2019","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"3830","DOI":"10.1002\/qj.3875","article-title":"Evaluation of ice particle growth in ICON using statistics of multi-frequency Doppler cloud radar observations","volume":"146","author":"Ori","year":"2020","journal-title":"Q. J. R. Meteorol. Soc."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"845","DOI":"10.5194\/essd-11-845-2019","article-title":"The TRIple-frequency and Polarimetric radar Experiment for improving process observations of winter precipitation","volume":"11","author":"Kneifel","year":"2019","journal-title":"Earth Syst. Sci. Data."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"12467","DOI":"10.5194\/acp-22-12467-2022","article-title":"Highly supercooled riming and unusual triple-frequency radar signatures over Antarctica","volume":"22","author":"Tridon","year":"2022","journal-title":"Atmos. Chem. Phys."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"775","DOI":"10.5194\/amt-15-775-2022","article-title":"Coincident in situ and triple-frequency radar airborne observations in the Arctic","volume":"15","author":"Nguyen","year":"2022","journal-title":"Atmos. Meas. Tech."},{"key":"ref_17","first-page":"D00A18","article-title":"CloudSat mission: Performance and early science after the first year of operation","volume":"113","author":"Stephens","year":"2008","journal-title":"J. Geophys. Res."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1175\/BAMS-D-13-00164.1","article-title":"The global precipitation measurement mission","volume":"95","author":"Hou","year":"2014","journal-title":"B. Am. Meteorol. Soc."},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Levizzani, V., Kidd, C., Kirschbaum, D.B., Kummerow, C.D., Nakamura, K., and Turk, F.J. (2020). Satellite precipitation measurement. Plans for Future Missions, Springer.","DOI":"10.1007\/978-3-030-35798-6"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"e2019RG000686","DOI":"10.1029\/2019RG000686","article-title":"Spaceborne Cloud and Precipitation Radars: Status, Challenges, and Ways Forward","volume":"58","author":"Battaglia","year":"2020","journal-title":"Rev. Geophys."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Turk, F.J., Ringerud, S.E., Camplani, A., Casella, D., Chase, R.J., Ebtehaj, A., Gong, J., Kulie, M., Liu, G., and Milani, L. (2021). Applications of a CloudSat-TRMM and CloudSat-GPM Satellite Coincidence Dataset. Remote Sens., 13.","DOI":"10.3390\/rs13122264"},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Gao, J., Tang, G., and Hong, Y. (2017). Similarities and Improvements of GPM Dual-Frequency Precipitation Radar (DPR) upon TRMM Precipitation Radar (PR) in Global Precipitation Rate Estimation, Type Classification and Vertical Profiling. Remote Sens., 9.","DOI":"10.3390\/rs9111142"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1727","DOI":"10.1175\/JAS3904.1","article-title":"Modeling backscatter properties of snowfall at millimeter wavelengths","volume":"64","author":"Matrosov","year":"2007","journal-title":"J. Atmos. Sci."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1563","DOI":"10.1175\/2008BAMS2486.1","article-title":"A database of microwave single-scattering properties for nonspherical ice particles","volume":"89","author":"Liu","year":"2008","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.jqsrt.2015.10.025","article-title":"Voronoi diagram-based spheroid model for microwave scattering of complex snow aggregates","volume":"170","author":"Honeyager","year":"2016","journal-title":"J. Quant. Spectrosc. Radiat. Transf."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1175\/1520-0450(1990)029<0200:SPSSIL>2.0.CO;2","article-title":"Snow particle size spectra in lake effect snows","volume":"29","author":"Braham","year":"1990","journal-title":"J. Appl. Meteorol."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"4017","DOI":"10.1175\/2008JAS2583.1","article-title":"Exponential size distributions for snow","volume":"65","author":"Heymsfield","year":"2008","journal-title":"J. Atmos. Sci."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1175\/2010JAMC2505.1","article-title":"Uncertainty Analysis for CloudSat Snowfall Retrievals","volume":"50","author":"Hiley","year":"2011","journal-title":"J. Appl. Meteorol. Clim."},{"key":"ref_29","unstructured":"Olson, W.S., and GPM Combined Radar-Radiometer Algorithm Team (2018). GPM Combined Radar-Radiometer Precipitation Algorithm Theoretical Basis Document (Version 5)."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1106","DOI":"10.1049\/el:19910687","article-title":"New prediction method of cloud attenuation","volume":"27","author":"Salonen","year":"1991","journal-title":"Electron. Lett."},{"key":"ref_31","unstructured":"(2019). Attenuation Due to Clouds and Fog (Standard No. Recommendation ITU-R P.840-8)."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Manabe, T., Liebe, H., and Hufford, G. (1987, January 14\u201318). Complex permittivity of water between 0 and 30 THz. Proceedings of the1987 Twelth International Conference on Infrared and Millimeter Waves, Lake Buena Vista, FL, USA.","DOI":"10.1109\/IRMM.1987.9127000"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"653","DOI":"10.1175\/JTECH-D-15-0097.1","article-title":"Improvements in Detection of Light Precipitation with the Global Precipitation Measurement Dual-Frequency Precipitation Radar (GPM DPR)","volume":"33","author":"Hamada","year":"2016","journal-title":"J. Atmos. Ocean. Tech."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"7873","DOI":"10.1002\/jgrd.50620","article-title":"Modeling the microwave single-scattering properties of aggregate snowflakes","volume":"118","author":"Nowell","year":"2013","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"13807","DOI":"10.1029\/2018JD028603","article-title":"Retrievals of Riming and Snow Density From Vertically Pointing Doppler Radars","volume":"123","author":"Mason","year":"2018","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"65","DOI":"10.3189\/S0260305500011277","article-title":"A meteorological estimation of relevant parameters for snow models","volume":"18","author":"Durand","year":"1993","journal-title":"Ann. Glaciol."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"1561","DOI":"10.1175\/JAMC-D-16-0379.1","article-title":"Microphysical properties of snow and their link to Ze-S relations during BAECC 2014","volume":"56","author":"Moisseev","year":"2017","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"4019","DOI":"10.1002\/2016JD026272","article-title":"Quantifying the effect of riming on snowfall using ground-based observations","volume":"122","author":"Moisseev","year":"2017","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"634","DOI":"10.1175\/JAM2489.1","article-title":"A Statistical and Physical Description of Hydrometeor Distributions in Colorado Snowstorms Using a Video Disdrometer","volume":"46","author":"Brandes","year":"2007","journal-title":"J. Appl. Meteorol. Climatol."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.atmosres.2014.07.013","article-title":"Use of 2D-Video Disdrometer to Derive Mean Density\u2013Size and Ze\u2013SR Relations: Four Snow Cases fromthe Light Precipitation Validation Experiment","volume":"153","author":"Huang","year":"2015","journal-title":"Atmos. Res."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"14235","DOI":"10.5194\/acp-21-14235-2021","article-title":"Mass and density of individual frozen hydrometeors","volume":"21","author":"Rees","year":"2021","journal-title":"Atmos. Chem. Phys."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1175\/2009JAS3146.1","article-title":"Microwave back scatter and extinction by soft ice spheres and complex snow aggregates","volume":"67","author":"Petty","year":"2010","journal-title":"J. Atmos. Sci."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"855","DOI":"10.1088\/0034-4885\/68\/4\/R03","article-title":"The Physics of Snow Crystals","volume":"68","author":"Libbrecht","year":"2005","journal-title":"Rep. Prog. Phys."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"022803","DOI":"10.1103\/PhysRevE.96.022803","article-title":"Growth kinetics and morphology of snowflakes in supersaturated atmosphere using a three-dimensional phase-field model","volume":"96","author":"Demange","year":"2017","journal-title":"Phys. Rev. E"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"2225","DOI":"10.1002\/2015GL067618","article-title":"First observations of triple-frequency radar Doppler spectra in snowfall: Interpretation and applications","volume":"43","author":"Kneifel","year":"2016","journal-title":"Geophys. Res. Lett."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/21\/5512\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T01:09:02Z","timestamp":1760144942000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/21\/5512"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,11,1]]},"references-count":45,"journal-issue":{"issue":"21","published-online":{"date-parts":[[2022,11]]}},"alternative-id":["rs14215512"],"URL":"https:\/\/doi.org\/10.3390\/rs14215512","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2022,11,1]]}}}