Analysis of air/river maximum daily temperature characteristics using the peaks over threshold approach

被引:18
|
作者
Caissie, Daniel [1 ]
Ashkar, Fahim [2 ]
El-Jabi, Nassir [3 ]
机构
[1] Fisheries & Ocean Canada, Freshwater Habitat Sci Sect, Moncton, NB, Canada
[2] Univ Moncton, Dept Math & Stat, Moncton, NB, Canada
[3] Univ Moncton, Dept Civil Engn, Moncton, NB, Canada
关键词
air temperature; extreme events; partial duration series; peak over threshold; stream temperature; SALMON SALMO-SALAR; GENERALIZED PARETO; WATER TEMPERATURES; STOCHASTIC-MODELS; NEW-BRUNSWICK; CANADA; FLOODS;
D O I
10.1002/eco.2176
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The understanding of river temperature is very important when assessing fish habitat conditions in terms of fish growth as well as fish distribution within river systems. The quantification of extreme water temperatures is also important, especially when studying the suitability of thermal habitats during high air/water temperature events. The present study deals with the analysis of extreme air and water temperatures using the partial duration series approach, also known as the peak over threshold (POT) approach. The advantage of the POT approach is that extreme air and water temperatures can be described not only in magnitude but also in duration and degree day accumulation for each event. In the present study, 74 years of air temperature data (Miramichi meteorological station) were analysed as well as 21 years of river temperature data from the Little Southwest Miramichi River. For example, results showed that the 0.01 exceedance probability (F(x) = .99) for maximum daily air temperature event was calculated at 38.4 degrees C whereas for the same exceedance probability, the maximum daily water temperature event was slightly lower at 32.7 degrees C. The duration of events varied between 1 and 5 days for air temperature and between 1 and 7 days for water temperature. Maximum daily water temperature exceeding 30 degrees C generally occurred over a period of 3 days or more, and the degree day accumulation was higher than 6 degrees C center dot day. This study showed that the POT approach was effective in quantifying both air and water temperature extremes within the Miramichi River study area.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Estimation of minimum and maximum air temperature using MODIS data over Gujarat
    Shah, D. B.
    Pandya, M. R.
    Trivedi, H. J.
    Jani, A. R.
    JOURNAL OF AGROMETEOROLOGY, 2012, 14 (02): : 111 - 118
  • [42] Extreme value modelling using the peaks over threshold method, an inverse cumulative uniform distribution approach
    Chirima, Justin
    INTERNATIONAL JOURNAL OF HYDROLOGY SCIENCE AND TECHNOLOGY, 2024, 18 (03) : 331 - 349
  • [43] Modelling daily water temperature from air temperature for the Missouri River
    Zhu, Senlin
    Nyarko, Emmanuel Karlo
    Hadzima-Nyarko, Marijana
    PEERJ, 2018, 6
  • [44] A stochastic model for the analysis of maximum daily temperature
    B. Sirangelo
    T. Caloiero
    R. Coscarelli
    E. Ferrari
    Theoretical and Applied Climatology, 2017, 130 : 275 - 289
  • [45] A stochastic model for the analysis of maximum daily temperature
    Sirangelo, B.
    Caloiero, T.
    Coscarelli, R.
    Ferrari, E.
    THEORETICAL AND APPLIED CLIMATOLOGY, 2017, 130 (1-2) : 275 - 289
  • [46] Late-July Barrier for Subseasonal Forecast of Summer Daily Maximum Temperature Over Yangtze River Basin
    Yang, Jing
    Zhu, Tao
    Gao, Miaoni
    Lin, Hai
    Wang, Bin
    Bao, Qing
    GEOPHYSICAL RESEARCH LETTERS, 2018, 45 (22) : 12610 - 12615
  • [47] DAILY MINIMUM AND MAXIMUM TEMPERATURE SIMULATION OVER COMPLEX TERRAIN
    Kleiber, William
    Katz, Richard W.
    Rajagopalan, Balaji
    ANNALS OF APPLIED STATISTICS, 2013, 7 (01): : 588 - 612
  • [48] DEVELOPMENT OF DAILY MAXIMUM AIR TEMPERATURE ESTIMATION ALGORITHM FOR THE KOREAN PENINSULA USING MODIS DATA
    Lee, Mi Hee
    Yu, Jung Hum
    Yun, Hyewon
    Cheon, Eunji
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 2555 - 2558
  • [49] Modeling wave loads on ships using peaks over threshold method
    Wang, L
    Moan, T
    APPLICATIONS OF STATISTICS AND PROBABILITY IN CIVIL ENGINEERING, VOLS 1 AND 2, 2003, : 401 - 408
  • [50] The estimation of extreme quantiles of wind velocity using L-moments in the peaks-over-threshold approach
    Pandey, MD
    Van Gelder, PHAJM
    Vrijling, JK
    STRUCTURAL SAFETY, 2001, 23 (02) : 179 - 192