Use of 2D-video disdrometer to derive mean density–size and Ze–SR relations: Four snow cases from the light precipitation validation experiment

Huang, Gwo-Jong; Bringi, V. N.; Moisseev, Dmitri; Petersen, Walter A.; Bliven, Larry F.; Hudak, David

doi:10.1016/j.atmosres.2014.07.013

Cited by 64 publications

(97 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a result of this information, the POSS is likely to be accurate to within 3 dB (i.e., a factor 2), if not better. This estimate is close to the 2.9 dB standard deviation found by Huang et al [], who analyzed Z e differences between the POSS and a 2‐D video disdrometer for snowfall.…”

Section: Evaluation Of Methodssupporting

confidence: 88%

The annual cycle of snowfall at Summit, Greenland

et al. 2015

View full text Add to dashboard Cite

While snow accumulation over central Greenland has been extensively studied, interannual variability of snowfall in the region is not well understood due to a dearth of observations. The Integrated Characterization of Energy, Clouds, Atmospheric state and Precipitation at Summit (ICECAPS) project at Summit, Greenland, offers a unique, ground-based opportunity to study precipitation in central Greenland where the surface mass balance is positive. Combining data from a Precipitation Occurrence Sensor System (POSS), Millimeter-wavelength Cloud Radar (MMCR), and snow stake field, the annual cycle of precipitation at Summit is examined. Average daily snowfall is higher by a factor of 3 from June to October compared to November to May, while surface height change is only higher by 15% during the same timeframes. This reduced variability in surface height is explained by the seasonally varying nature of latent heat flux, compaction, and wind contributions. The ICECAPS remote sensors and stake field measurements do not agree as far as total annual water equivalent. This discrepancy is likely due to a low bias in the POSS and MMCR snowfall retrievals for Summit. To further examine the seasonal cycle, snowfall measurements by the POSS were linked to local meteorological parameters, including wind direction, liquid water path (LWP), 2 m temperature, and precipitable water vapor. An observed wind direction and moisture dependence are consistent with snowfall being linked to pulses of moist air that originate over nearby, ice-free ocean, a resource that becomes more readily available in summertime as the winter sea ice retreats. LWP is shown to have little relationship to snowfall, indicating that ice-phase precipitation processes are quite important for snowfall at Summit.

show abstract

Section: Evaluation Of Methodssupporting

confidence: 88%

The annual cycle of snowfall at Summit, Greenland

et al. 2015

View full text Add to dashboard Cite

show abstract

“…The snowfall rate, S , is derived from radar reflectivity, Z . To consider potential uncertainties, the snowfall rate values were calculated using two distinct Z‐S relationships; the Finnish Meteorological Institute climatological relationship (Saltikoff et al, ),

Z = 100 \cdot S^{2},

where S is in millimeters per hour and Z is the equivalent radar reflectivity factor in millimeters to the sixth power per meter cube; and

Z = 210.72 \cdot S^{1.63},

by Huang et al ().…”

Section: Data Analysis and Resultsmentioning

confidence: 90%

Inadvertent Localized Intensification of Precipitation by Aircraft

et al. 2019

Self Cite

View full text Add to dashboard Cite

Eleven years of dual‐polarization weather radar data, complemented by satellite and lidar observations, were used to investigate the origin of areas of localized intensification of precipitation spotted in the vicinity of Helsinki‐Vantaa airport. It was observed that existing precipitation is enhanced locally on spatial scales from a few kilometers to several tens of kilometers. The precipitation intensity in these localized areas was 6–14 times higher than the background large‐scale precipitation rate. Surface observations and dual‐polarization radar data indicate that snowflakes within the ice portion of the falling precipitation in the intensification regions are larger and more isotropic than in the surrounding precipitation. There appears to be an increase in the ice particle number concentration within the intensification region. The observed events were linked to arriving or departing air traffic. We advocate that the mechanism responsible for intensification is aircraft‐produced ice particles boosting the aggregation growth of snowflakes.

show abstract

“…For some of the observation periods, additional surface based precipitation measurements were also performed at the site. During the Light Precipitation Validation Experiment (LPVEx) [ Petersen et al, ] the instrumentation suit was extended by a 2D‐video disdrometer [ Kruger and Krajewski , ; Huang et al , ], an OTT Pluvio 2 precipitation weighing gauge, two OTT Parsivel laser disdrometers and a NASA Particle Video Imager (PVI) [ Newman et al , ]. In this study, observations from the PVI are used to supplement the radar data analysis.…”

Section: Measurement Setup and Observationsmentioning

confidence: 99%

Dual‐polarization radar signatures in snowstorms: Role of snowflake aggregation

et al. 2015

View full text Add to dashboard Cite

In this article a potential role of snowflake growth by aggregation on formation of dual‐polarization radar signatures in winter storms is discussed. We advocate that the observed bands of increased values of specific differential phase (Kdp) can be linked to the onset of aggregation. These bands are caused by high number concentrations of oblate relatively dense ice particles and take place in regions where an ice phase “seeder‐feeder” is active. On the other hand, the differential reflectivity (Zdr) bands, in absence of detectable Kdp values, are observed in the areas where crystal growth is the dominating snow growth mechanism and ice particle number concentration is lower. This distinction in underlying processes explains why Kdp and Zdr bands are not always observed at the same time. Furthermore, based on surface observations of snowflakes, it is determined that early aggregates, consisting of a small number of ice crystals, are oblate. These oblate particles could contribute to the reported dual‐polarization radar signatures in snow, especially to the Kdp. This could help to explain why, where observed at the same type, Kdp and Zdr bands do not match and the altitude of the peak value of Kdp is usually lower than the Zdr one. It also means that dual‐polarization radar signatures of snowflakes may depend on a stage of aggregation.

show abstract

Use of 2D-video disdrometer to derive mean density–size and Ze–SR relations: Four snow cases from the light precipitation validation experiment

Cited by 64 publications

References 34 publications

The annual cycle of snowfall at Summit, Greenland

The annual cycle of snowfall at Summit, Greenland

Inadvertent Localized Intensification of Precipitation by Aircraft

Dual‐polarization radar signatures in snowstorms: Role of snowflake aggregation

Contact Info

Product

Resources

About