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- W2920779957 startingPage "308" @default.
- W2920779957 abstract "Abstract Among various stream temperature models those based on nonlinear regression frequently attract attention due to their simplicity and small number of required variables. Among such approaches the logistic regression model developed twenty years ago for weekly data is still widely used in various scientific studies that require quick and simple calculation of stream water temperature. The model has been modified a number of times in recent years to capture the relationship between daily stream water temperatures, air temperatures and discharge. In this study, we propose further modifications of the logistic regression model that do not require any additional variables that may be hard to measure. The proposed models capture the relationship between the stream temperature and the declination of the Sun, the air temperature and the discharge from a number of recent observations. The proposed approaches are tested on six rivers located in diverse orographic conditions of temperate climate zones of Europe and USA. Although the proposed models remain very simple, their performances are competitive against the performances of more advanced semi-physical or data-driven models." @default.
- W2920779957 created "2019-03-11" @default.
- W2920779957 creator A5019584196 @default.
- W2920779957 creator A5080762162 @default.
- W2920779957 date "2019-05-01" @default.
- W2920779957 modified "2023-10-17" @default.
- W2920779957 title "Simple modifications of the nonlinear regression stream temperature model for daily data" @default.
- W2920779957 cites W1550472510 @default.
- W2920779957 cites W1589473324 @default.
- W2920779957 cites W1595159159 @default.
- W2920779957 cites W1937211559 @default.
- W2920779957 cites W1969918617 @default.
- W2920779957 cites W1974283773 @default.
- W2920779957 cites W1985981257 @default.
- W2920779957 cites W1995571961 @default.
- W2920779957 cites W1997823550 @default.
- W2920779957 cites W1998462925 @default.
- W2920779957 cites W2001656542 @default.
- W2920779957 cites W2003497982 @default.
- W2920779957 cites W2016043834 @default.
- W2920779957 cites W2016479499 @default.
- W2920779957 cites W2017910730 @default.
- W2920779957 cites W2021638339 @default.
- W2920779957 cites W2022783833 @default.
- W2920779957 cites W2025867198 @default.
- W2920779957 cites W2026337966 @default.
- W2920779957 cites W2032632138 @default.
- W2920779957 cites W2035682098 @default.
- W2920779957 cites W2036535026 @default.
- W2920779957 cites W2038098184 @default.
- W2920779957 cites W2046498361 @default.
- W2920779957 cites W2052367557 @default.
- W2920779957 cites W2056646884 @default.
- W2920779957 cites W2072106824 @default.
- W2920779957 cites W2073453836 @default.
- W2920779957 cites W2076118331 @default.
- W2920779957 cites W2077623913 @default.
- W2920779957 cites W2087070363 @default.
- W2920779957 cites W2089826718 @default.
- W2920779957 cites W2111999789 @default.
- W2920779957 cites W2113352901 @default.
- W2920779957 cites W2118577011 @default.
- W2920779957 cites W2122140248 @default.
- W2920779957 cites W2126890351 @default.
- W2920779957 cites W2127403333 @default.
- W2920779957 cites W2135147814 @default.
- W2920779957 cites W2137983211 @default.
- W2920779957 cites W2145712126 @default.
- W2920779957 cites W2155482699 @default.
- W2920779957 cites W2160166502 @default.
- W2920779957 cites W2168313526 @default.
- W2920779957 cites W2175514636 @default.
- W2920779957 cites W2190225614 @default.
- W2920779957 cites W2193606319 @default.
- W2920779957 cites W2195747204 @default.
- W2920779957 cites W2223938009 @default.
- W2920779957 cites W2258915585 @default.
- W2920779957 cites W2269082894 @default.
- W2920779957 cites W2297083345 @default.
- W2920779957 cites W2310612427 @default.
- W2920779957 cites W2327818245 @default.
- W2920779957 cites W2347057720 @default.
- W2920779957 cites W2461083860 @default.
- W2920779957 cites W2489857483 @default.
- W2920779957 cites W2529278855 @default.
- W2920779957 cites W2536142853 @default.
- W2920779957 cites W2554031119 @default.
- W2920779957 cites W2564896438 @default.
- W2920779957 cites W2580807005 @default.
- W2920779957 cites W2585597250 @default.
- W2920779957 cites W2587306689 @default.
- W2920779957 cites W2599704556 @default.
- W2920779957 cites W2623574450 @default.
- W2920779957 cites W2729051445 @default.
- W2920779957 cites W2730954553 @default.
- W2920779957 cites W2749238734 @default.
- W2920779957 cites W2751185093 @default.
- W2920779957 cites W2752338154 @default.
- W2920779957 cites W2753937361 @default.
- W2920779957 cites W2756376687 @default.
- W2920779957 cites W2760198388 @default.
- W2920779957 cites W2766836627 @default.
- W2920779957 cites W2784305652 @default.
- W2920779957 cites W2785712409 @default.
- W2920779957 cites W2795156900 @default.
- W2920779957 cites W2797873601 @default.
- W2920779957 cites W2800838452 @default.
- W2920779957 cites W2800961888 @default.
- W2920779957 cites W2805845282 @default.
- W2920779957 cites W2807044567 @default.
- W2920779957 cites W2809890364 @default.
- W2920779957 cites W2882990224 @default.
- W2920779957 cites W2895333038 @default.
- W2920779957 cites W2900276876 @default.
- W2920779957 cites W2919115771 @default.
- W2920779957 doi "https://doi.org/10.1016/j.jhydrol.2019.02.035" @default.
- W2920779957 hasPublicationYear "2019" @default.
- W2920779957 type Work @default.