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UJI SKEMA PARAMETERISASI KUMULUS MULTI-SCALE KAIN-FRITSCH PADA MODEL WRF-ARW UNTUK PREDIKSI CURAH HUJAN DI WILAYAH SUMATERA SELATAN DAN SEKITARNYA

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Penilaian

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Unpredictable changes in rainfall patterns demand the use of accurate weather models. This work aims to assess the performance of the WRF-ARW model with the Multi-Scale Kain-Fritsch (MSKF) scheme in forecasting rainfall over South Sumatra during September to November 2024. The model uses GFS data as input and is validated against ERA5 data. Results show that WRF-ARW predicts higher rainfall than ERA5, particularly in November. The average rainfall from WRF-ARW reached 473.94 mm, while ERA5 recorded 205.76 mm. Most prediction errors fall into the low to moderate category. The transition from El Niño to weak La Niña and the negative IOD phase influenced rainfall distribution.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2507003141	T174197	T1741972025	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1741972025

Publisher

: Prodi Ilmu Fisika, Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Sriwijaya., 2025

Collation

xv, 88 hlm.: Ilus., tab.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

530.07

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Fisika

Specific Detail Info

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Statement of Responsibility

EM

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