Deteksi Es Dan Hail Di Atmosfer Dengan Radar Polarimetrik X-Band Furuno Wr-2100  (Studi Kasus: 24 Januari Dan 14 Februari 2016)

Arbain, Ardhi Adhary; Sunarto, Faisal; Mulyana, Erwin

doi:10.29122/jstmc.v19i1.2994

Cited by 2 publications

(1 citation statement)

References 6 publications

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“…It serves as a crucial tool for monitoring and analyzing weather patterns, providing valuable data for hydrological and meteorological applications. Weather radar has the advantage of detecting rainfall space and times due to its high spatial resolution (less than 1 km) and temporal resolution (5 -10 minutes) [2][3]. These capabilities enable meteorologists and hydrologists to track the evolution of precipitation events with remarkable detail.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Gabella Method and Random Forest for Ground Clutter Detection in Padang Weather Radar Data

Nurahman,

Ali,

Fahdiran

2023

SPEKTRA

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Weather radar is an active remote sensing instrument for various hydrological and meteorological applications. One advantage of weather radar is its ability to detect rainfall in space and time with high spatial resolution. However, one of the issues that contaminate radar observations is ground clutter. Ground clutter is a signal or echo from non-meteorological objects on the earth’s surface that are stationary in the time domain. Detecting and mitigating clutter effects is crucial to achieve precise weather measurements. This research aims to implement the Gabella and random forest methods to detect ground clutter in Padang weather radar data and determine the optimal method between the two. The implementation of the Gabella method for detecting ground clutter in Padang weather radar data was suboptimal. This was due to the most duplicated data at the same point being only 15.97% of the total data. Meanwhile the random forest method obtained a kappa value of 92.03%. This indicates that the random forest model created using 2000 trees as the parameter performs well. Based on these results, the random forest method identified as the most optimal approach for detecting ground clutter in Padang weather radar data.

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Section: Introductionmentioning

confidence: 99%

Implementation of Gabella Method and Random Forest for Ground Clutter Detection in Padang Weather Radar Data

Nurahman,

Ali,

Fahdiran

2023

SPEKTRA

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A 4-years of radar-based observation of bow echo over Bandung basin Indonesia

Nugroho,

Halimurrahman,

Awaludin

et al. 2024

Geoenviron Disasters

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Background This study presents a 4-year (January 2019–April 2023) X-band radar network-based bow echo observation over Great Bandung Indonesia. This study provides insight into the temporal and spatial variability of bow echo distribution and presents the atmospheric condition associated with the bow echo events. Temporal analysis is categorical into monthly, seasonally, and diurnal. The analysis was performed using X-band radar network and reanalysis data (ERA5). Result At least 26 bow echoes were identified across the Bandung basin from X-band radar network during the study period. From this total number of bow echoes, the observation of initiation modes is primarily generated from a weakly organized cell, with few coming from the squall line. The bow echo mostly evolved from noon until afternoon. The rainy season (December–January–February) and transition season (March–April–May) is the most frequent period of bow echo occurrence, with March being the most active month. Nevertheless, this study also found bow echo occurrence in the dry season (June–July–August). For the spatial analysis, the studied area is divided into two regions representing the eastern and western part of Bandung basin. The eastern region recorded the most intense occurrences with 14 events. The movement of bow echo in this region covered a shorter distance (average distance only 4.56 km), with all initiation modes occurring inside the region. The atmospheric condition within this region has less moisture flux, with higher CAPE and slightly higher surface temperature. Meanwhile, in the western region have different characteristics with higher moisture flux, a slight effect of CAPE and CINH, with longer distance and zonal movement direction of bow echo displacement. Conclusion These conditions indicate that local convection is the dominant mode of bow echo initiation mode in the eastern region of Bandung basin. Meanwhile, the monsoon effect influences the bow echo initiation mode in the western region. Given that the observed 4-year bow echo has different characteristics from previous studies of bow echo in mid latitudes, developing different criteria for bow echo detection in the tropics is crucial.

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Deteksi Es Dan Hail Di Atmosfer Dengan Radar Polarimetrik X-Band Furuno Wr-2100 (Studi Kasus: 24 Januari Dan 14 Februari 2016)

Cited by 2 publications

References 6 publications

Implementation of Gabella Method and Random Forest for Ground Clutter Detection in Padang Weather Radar Data

Implementation of Gabella Method and Random Forest for Ground Clutter Detection in Padang Weather Radar Data

A 4-years of radar-based observation of bow echo over Bandung basin Indonesia

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