Intraseasonal rainfall variability in North Sumatra and its relationship with Boreal Summer Intraseasonal Oscillation (BSISO)
被引:2
|
作者:
Faqih, Akhmad
论文数: 0引用数: 0
h-index: 0
机构:
Bogor Agr Univ IPB, Fac Math & Nat Sci, Dept Geophys & Meteorol, Kampus IPB Dramaga,FMIPA Bldg,Wing 19,Level 4, Bogor 16680, Jawa Barat, IndonesiaBogor Agr Univ IPB, Fac Math & Nat Sci, Dept Geophys & Meteorol, Kampus IPB Dramaga,FMIPA Bldg,Wing 19,Level 4, Bogor 16680, Jawa Barat, Indonesia
Faqih, Akhmad
[1
]
Nurussyifa, Desiana
论文数: 0引用数: 0
h-index: 0
机构:
Bogor Agr Univ IPB, Fac Math & Nat Sci, Dept Geophys & Meteorol, Kampus IPB Dramaga,FMIPA Bldg,Wing 19,Level 4, Bogor 16680, Jawa Barat, IndonesiaBogor Agr Univ IPB, Fac Math & Nat Sci, Dept Geophys & Meteorol, Kampus IPB Dramaga,FMIPA Bldg,Wing 19,Level 4, Bogor 16680, Jawa Barat, Indonesia
Nurussyifa, Desiana
[1
]
机构:
[1] Bogor Agr Univ IPB, Fac Math & Nat Sci, Dept Geophys & Meteorol, Kampus IPB Dramaga,FMIPA Bldg,Wing 19,Level 4, Bogor 16680, Jawa Barat, Indonesia
The Boreal Summer Intraseasonal Oscillation (BSISO) is a mode of climate variability on intraseasonal timescales that dominantly occurs during Northern Hemisphere summer monsoon. Its propagation and activity can be monitored by using indices namely as BSISO1 and BSISO2. The rainfall anomalies and extremes in North Sumatra may be potentially affected by BSISO due to its location within the path of their propagations. This study analyzes the relationship of BSISO with daily rainfall anomalies and extremes during different phases and types of BSISO. The results of spectral analysis show some agreements in the periodicity of BSISO1 and BSISO2 with daily rainfall anomaly. This study also identifies extreme rainfall during different phases of BSISO, showing the increase in the number of extreme rainfall events. High number of extreme rainfall events beyond thresholds at 90th and 95th percentiles are mostly found during phase 1, 2 and 3 of BSISO1 and phase 1 and 2 of BSISO2. Composite analysis conducted separately for spatial standard deviations of daily rainfall anomalies are also performed in this study. Similar results are found, where BSISO influences on rainfall variability especially during phase 1, 2 and 3 of BSISO1, and phase 1 and 2 of BSISO2.
机构:
Japan Agcy Marine Earth Sci & Technol, Res Inst Global Change, Dynam Coupling Ocean Atmosphere Land Res Program, Yokosuka, Kanagawa, JapanJapan Agcy Marine Earth Sci & Technol, Res Inst Global Change, Dynam Coupling Ocean Atmosphere Land Res Program, Yokosuka, Kanagawa, Japan
Seiki, Ayako
Kosaka, Yu
论文数: 0引用数: 0
h-index: 0
机构:
Univ Tokyo, Res Ctr Adv Sci & Technol, Tokyo, JapanJapan Agcy Marine Earth Sci & Technol, Res Inst Global Change, Dynam Coupling Ocean Atmosphere Land Res Program, Yokosuka, Kanagawa, Japan
Kosaka, Yu
Yokoi, Satoru
论文数: 0引用数: 0
h-index: 0
机构:
Japan Agcy Marine Earth Sci & Technol, Res Inst Global Change, Dynam Coupling Ocean Atmosphere Land Res Program, Yokosuka, Kanagawa, JapanJapan Agcy Marine Earth Sci & Technol, Res Inst Global Change, Dynam Coupling Ocean Atmosphere Land Res Program, Yokosuka, Kanagawa, Japan
机构:
Key Laboratory of Meteorological Disaster (KLME), Ministry of Education and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology
Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan ProvinceKey Laboratory of Meteorological Disaster (KLME), Ministry of Education and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology
马雯澜
朱磊
论文数: 0引用数: 0
h-index: 0
机构:
Key Laboratory of Meteorological Disaster (KLME), Ministry of Education and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology
Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan ProvinceKey Laboratory of Meteorological Disaster (KLME), Ministry of Education and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology
朱磊
冯箫
论文数: 0引用数: 0
h-index: 0
机构:
Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan ProvinceKey Laboratory of Meteorological Disaster (KLME), Ministry of Education and Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology