In this study, we compared the relationship between the polarimetric parameters in melting layer (ML) and the size of precipitation particles using the data obtained from the RHI observation of the X-band polarimetric radar at Niigata City in 2019 winter. The maximum value of Z[H] and Z[DR] or the minimum value of p[HV] in ML corresponded well to the mass-weighted diameter from disdrometer observation. In particular, the maximum value of Z[DR] was confirmed to be below the empirical threshold in ML for the case of small particle size. In addition, a comparison was made using indices corresponding to the mass-weighted diameter of snow particles calculated from Z[H] and K[DP] above ML, and it was found that there was more variation than in th...
As an ice particle grows by riming its shape is expected to change, resulting in a more spherical pa...
Since the advent of dual-polarization radar, methods of classifying hydrometeors by type from measur...
none6noA microphysically based algorithm (named Snow Aggregation and Melting (SAM)) that models snow...
The inclusion of polarimetric measurements for the quantitative precipitation estimation (QPE) by we...
Quantitative precipitation estimation (QPE) of snowfall has generally been expressed in power-law fo...
Comparing the reflectivity flux at the top and bottom of the melting layer (ML) reveals the overall ...
As complex forward models for snow have become common in radar-based retrievals, there is a demand t...
Understanding what happens to hydrometeors, such as atmospheric snow particles (ice crystals, snow c...
This article proposes and presents a novel approach to the characterization of winter precipitation ...
International audienceAbstract. In countries like Japan, particular solid precipitation particles (P...
Radar dual-wavelength ratio (DWR) measurements from the Stony Brook Radar Observatory Ka-band scanni...
This article describes polarimetric X-band radar-based quantitative precipitation estimations (QPE) ...
Comparing the reflectivity flux at the top and bottom of the melting layer (ML) reveals the overall ...
Vertical variability in the raindrop size distribution (RSD) can disrupt the basic assumption of a c...
Two power-law relations linking equivalent radar reflectivity factor Z(e) and snowfall rate S are de...
As an ice particle grows by riming its shape is expected to change, resulting in a more spherical pa...
Since the advent of dual-polarization radar, methods of classifying hydrometeors by type from measur...
none6noA microphysically based algorithm (named Snow Aggregation and Melting (SAM)) that models snow...
The inclusion of polarimetric measurements for the quantitative precipitation estimation (QPE) by we...
Quantitative precipitation estimation (QPE) of snowfall has generally been expressed in power-law fo...
Comparing the reflectivity flux at the top and bottom of the melting layer (ML) reveals the overall ...
As complex forward models for snow have become common in radar-based retrievals, there is a demand t...
Understanding what happens to hydrometeors, such as atmospheric snow particles (ice crystals, snow c...
This article proposes and presents a novel approach to the characterization of winter precipitation ...
International audienceAbstract. In countries like Japan, particular solid precipitation particles (P...
Radar dual-wavelength ratio (DWR) measurements from the Stony Brook Radar Observatory Ka-band scanni...
This article describes polarimetric X-band radar-based quantitative precipitation estimations (QPE) ...
Comparing the reflectivity flux at the top and bottom of the melting layer (ML) reveals the overall ...
Vertical variability in the raindrop size distribution (RSD) can disrupt the basic assumption of a c...
Two power-law relations linking equivalent radar reflectivity factor Z(e) and snowfall rate S are de...
As an ice particle grows by riming its shape is expected to change, resulting in a more spherical pa...
Since the advent of dual-polarization radar, methods of classifying hydrometeors by type from measur...
none6noA microphysically based algorithm (named Snow Aggregation and Melting (SAM)) that models snow...