Results 151 to 160 of about 1,788,071 (189)

Future changes of precipitation types in the Peruvian Andes. [PDF]

Sci Rep
Llactayo V, Valdivia J, Yarleque C, Callañaupa S, Villalobos-Puma E, Guizado D, Alvarado-Lugo R.   +6 more
europepmc   +1 more source

Kinematic and Microphysical Significance of Lightning Jumps versus Non-Jump Increases in Total Flash Rate. [PDF]

Weather Forecast, 2017
Schultz CJ, Carey LD, Schultz EV, Blakeslee RJ.   +3 more
europepmc   +1 more source

Intercomparison of vertical structure of storms revealed by ground-based (NMQ) and spaceborne radars (CloudSat-CPR and TRMM-PR). [PDF]

ScientificWorldJournal, 2013
Fall VM, Cao Q, Hong Y.
europepmc   +1 more source

A study on the DAM-EfficientNet hail rapid identification algorithm based on FY-4A_AGRI. [PDF]

Sci Rep
Liu R, Dai H, Chen Y, Zhu H, Wu D, Li H, Li D, Zhou C.   +7 more
europepmc   +1 more source

Microphysical and kinematic processes associated with anomalous charge structures in isolated convection. [PDF]

J Geophys Res Atmos, 2018
Fuchs BR, Rutledge SA, Dolan B, Carey LD, Schultz C.   +4 more
europepmc   +1 more source

Development and application of a hydrometeor classification method for X-band polarimetric radar focusing on solid hydrometeors

Development and application of a hydrometeor classification method for X-band polarimetric radar focusing on solid hydrometeors
openaire   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Recent updates on precipitation type classification and hydrometeor identification algorithm for GPM-DPR

2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
The dual precipitation radar (DPR) on board the GPM (Global precipitation measurement) core observatory satellite is expected to improve our knowledge of precipitation processes. DPR offers dual frequency observations (Ku and Ka band) along the vertical profiles which allow us to investigate the microphysics using the difference between two frequency ...
V Chandrasekar
exaly   +3 more sources

The Application of Hydrometeor Classification Algorithm for China New Generation Doppler Radar

2019 International Conference on Meteorology Observations (ICMO), 2019
This paper mainly improves the hydrometeor classification algorithm for China new generation doppler radar. Firstly, the algorithm uses the following parameters as input: horizontal reflectivity, differential reflectivity, correlation coefficient, specific differential phase, standard deviation of horizontal reflectivity [SD(Z h )] and standard ...
Wang Hailong, Shi Zhao, Ma Jianli
exaly   +2 more sources

Supervised Fuzzy-Logic Classification of Hydrometeors Using C-Band Weather Radars [PDF]

IEEE Transactions on Geoscience and Remote Sensing, 2007
A model-based fuzzy-logic method for hydrometeor classification using C-band polarimetric radar data is presented and discussed. Membership functions of the fuzzy-logic algorithm are designed for best fitting simulated radar signatures at C-band. Such signatures are derived for ten supervised hydrometeor classes by means of a fully polarimetric radar ...
Frank Silvio Marzano, Daniele Scaranari, Gianfranco Vulpiani   +2 more
openaire   +3 more sources

Assimilation of Reflectivity Data in a Convective-Scale, Cycled 3DVAR Framework with Hydrometeor Classification

Journals of the Atmospheric Sciences, 2012
The impact of assimilating radar reflectivity and radial velocity data with an intermittent, cycled three-dimensional variational assimilation (3DVAR) system is explored using an idealized thunderstorm case and a real data case on 8 May 2003.
Jidong Gao, David Stensrud
exaly   +2 more sources