Results 31 to 40 of about 3,922,670 (148)

Automated Detection of Polarimetric Tornadic Debris Signatures Using a Hydrometeor Classification Algorithm

open access: yesJournal of Applied Meteorology and Climatology, 2015
AbstractAlthough radial velocity data from Doppler radars can partially resolve some tornadoes, particularly large tornadoes near the radar, most tornadoes are not explicitly resolved by radar owing to inadequate spatiotemporal resolution. In addition, it can be difficult to determine which mesocyclones typically observed on radar are associated with ...
Jeffrey C. Snyder, Alexander V. Ryzhkov
openaire   +1 more source

Enhancing classification performance of multi-class imbalanced data using the OAA-DB algorithm [PDF]

open access: yes, 2012
In data classification, the problem of imbalanced class distribution has attracted many attentions. Most efforts have used to investigate the problem mainly for binary classification.
Wong, K.W.   +3 more
core   +1 more source

Empirical-based hydrometeor identification algorithm using GMI brightness temperatures and WSR-88D derived hydrometeor classification

open access: yes, 2023
This research uses passive microwave brightness temperatures (TB) from the Global Precipitation Measurement Mission (GPM) Microwave Imager (GMI), and hydrometeor identification (HID) data from the GPM Ground Validation Network (GVN).
Solomon, Michael B.
core   +1 more source

Utilizing multiple pheromones in an ant-based algorithm for continuous-attribute classification rule discovery. [PDF]

open access: yes, 2013
The cAnt-Miner algorithm is an Ant Colony Optimization (ACO) based technique for classification rule discovery in problem domains which include continuous attributes. In this paper, we propose several extensions to cAnt- Miner.
Otero, Fernando E.B.   +3 more
core   +1 more source

A hierarchical multi-label classification ant colony algorithm for protein function prediction [PDF]

open access: yes, 2010
This paper proposes a novel ant colony optimisation (ACO) algorithm tailored for the hierarchical multi-label classification problem of protein function prediction.
Otero, Fernando E.B.   +5 more
core   +1 more source

Discovering comprehensible classification rules with a genetic algorithm [PDF]

open access: yes, 2000
Presents a classification algorithm based on genetic algorithms (GAs) that discovers comprehensible IF-THEN rules, in the spirit of data mining. The proposed GA has a flexible chromosome encoding, where each chromosome corresponds to a classification ...
Lopes, Heitor S.   +2 more
core   +1 more source

Spatial observation‐error correlations for AMSU‐A in all‐sky assimilation: An ECMWF and UK Met Office intercomparison

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Assimilation of AMSU‐A all‐sky observations can be increased up to fivefold if spatial observation‐error correlations are accounted for properly. New correlation estimates derived using data from ECMWF and the UK Met Office reveal that correlation length‐scales are between 75 and 150 km for AMSU‐A channels peaking in the troposphere. This is attributed
Rishabh Bhatt   +9 more
wiley   +1 more source

Radar data shows graupel and increased turbulence near small-scale intermittent lightning discharges at the top of intense thunderstorms [PDF]

open access: yesAtmospheric Chemistry and Physics
Sparkles are the intermittent, small-scale lightning discharges that occur near the top of intense thunderstorms. To increase the understanding of mechanisms that lead to sparkles, we compare high resolution lightning data from the LOw Frequency ARray ...
R. van Loon   +8 more
doaj   +1 more source

Modeling rainfall drop size distribution moments using an S‐band polarimetric radar in complex terrain

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Using S‐band dual‐polarization radar and disdrometers during PRECIP 2022 in Taiwan, we analyze a Mei‐Yu frontal event with widespread stratiform rain and embedded convection. Multiple disdrometers are used to create a novel drop size distribution model for S‐band radars resolving both the drizzle and precipitation modes. The model reveals both inferred
Ian C. Cornejo   +3 more
wiley   +1 more source

Evaluation of the Polarimetric-Radar Quantitative Precipitation Estimates of an Extremely Heavy Rainfall Event and Nine Common Rainfall Events in Guangzhou

open access: yesAtmosphere, 2018
The development and application of operational polarimetric radar (PR) in China is still in its infancy. In this study, an operational PR quantitative precipitation estimation (QPE) algorithm is suggested based on data for PR hydrometeor classification ...
Yang Zhang   +4 more
doaj   +1 more source

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