dc.contributor.advisor | Herianto, Tulus Joseph | |
dc.contributor.author | Saragih, Deny Gilbert | |
dc.date.accessioned | 2024-08-28T03:56:00Z | |
dc.date.available | 2024-08-28T03:56:00Z | |
dc.date.issued | 2024 | |
dc.identifier.uri | https://repositori.usu.ac.id/handle/123456789/96235 | |
dc.description.abstract | The relationship between rainfall and the number of rainy days has important implications in identifying the potential for extreme weather events. A significant increase in rainfall and the number of rainy days can cause disasters such as floods and landslides. Abnormal seasonal patterns and high variability in the joint probability of the two variables can indicate weather instability. Global climate change can also affect this relationship, causing shifts in rainfall and rainy day patterns. A deep understanding of the interconnection between rainfall, rainy days, and extreme weather enables effective mitigation planning, including early warning systems, water resource management, and adaptation to the impacts of climate change. Analyzing this relationship is key to anticipating and responding appropriately to the threat of extreme weather | en_US |
dc.language.iso | id | en_US |
dc.publisher | Universitas Sumatera Utara | en_US |
dc.subject | Copula | en_US |
dc.subject | Copula Gaussian | en_US |
dc.subject | R Language | en_US |
dc.subject | Rain | en_US |
dc.subject | Climate | en_US |
dc.subject | SDGs | en_US |
dc.title | Analisis Tingkat Curah Hujan dan Banyak Hari Hujan di BMKG WIL 1 (Kota Medan) Tahun 2021 - 2023 Menggunakan Pemodelan Copula Gaussian | en_US |
dc.title.alternative | Analysis of Rainfall and Rainy Days at BMKG Region 1 (Medan City) in 2021 - 2023 using Copula Gaussian Modeling | en_US |
dc.type | Thesis | en_US |
dc.identifier.nim | NIM212407004 | |
dc.identifier.nidn | NIDN0011079205 | |
dc.identifier.kodeprodi | KODEPRODI49401#Statistika | |
dc.description.pages | 49 Pages | en_US |
dc.description.type | Kertas Karya Diploma | en_US |