A Nonstationary Standardized Precipitation Index incorporating climate indices as covariates
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In this article, a nonstationary Gamma distribution with climate indices as covariates was developed for fitting precipitation data and then used for calculating a Nonstationary Standardized Precipitation Index (NSPI).Abstract:
Many drought indices were proposed to describe drought characteristics, but only few had considered environmental changes. In an attempt to incorporate climate change into meteorological drought index, a nonstationary Gamma distribution with climate indices as covariates was developed for fitting precipitation data and then used for calculating a Nonstationary Standardized Precipitation Index (NSPI) in this study. The performances of the NSPI were compared with those of the traditional Standardized Precipitation Index (SPI), showing that the NSPI capable of taking climate variations into account is more robust than the traditional SPI. Focusing on the Luanhe River basin, historical drought events were described and assessed based on the NSPI and traditional SPI. Moreover, drought characteristics, including drought frequency, peak, duration, and magnitude, were calculated by using the two indices. The results in this study indicated that NSPI using climate indices as covariates could capture drought characteristics in the Luanhe River basin, and this new drought index provides a new concept for constructing the drought index that can effectively adapt to a changing environment.read more
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Non-stationary and copula-based approach to assess the drought characteristics encompassing climate indices over the Himalayan states in India
TL;DR: In this paper, a non-stationary gamma distribution with climate indices in its location parameter as a covariate is proposed to incorporate the environmental changes in the present scenario of climate change.
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Combined use of relative drought indices to analyze climate change impact on meteorological and hydrological droughts in a Mediterranean basin
TL;DR: In this paper, the impact of climate change on meteorological and hydrological droughts, considering shifts in precipitation and temperature, adapted to a Mediterranean basin, is analyzed.
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The nonstationary impact of local temperature changes and ENSO on extreme precipitation at the global scale
TL;DR: In this article, nonstationary generalized extreme value distributions were used to model extreme precipitation over global land for the period 1979-2015, with ENSO indicator and temperature as covariates.
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Copula based analysis of meteorological, hydrological and agricultural drought characteristics across Indian river basins
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A Non-stationary Standardized Streamflow Index for hydrological drought using climate and human-induced indices as covariates.
TL;DR: The presented NSSI enables hydrological droughts to be better characterized in a non-stationary context, thus providing valuable references for the improvement of drought index and the drought related policy-making.
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TL;DR: The definition of drought has continually been a stumbling block for drought monitoring and analysis as mentioned in this paper, mainly related to the time period over which deficits accumulate and to the connection of the deficit in precipitation to deficits in usable water sources and the impacts that ensue.