2015
DOI: 10.1002/2014jd022059
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Statistical downscaling of rainfall changes in Hawai‘i based on the CMIP5 global model projections

Abstract: Seasonal mean rainfall projections for Hawai'i are given based on statistical downscaling of the latest Coupled Model Intercomparison Project phase 5 (CMIP5) global model results for two future representative concentration pathways (RCP4.5 and RCP8.5). The spatial information content of our statistical downscaling method is improved over previous efforts through the inclusion of spatially extensive, high-quality monthly rainfall data set and the use of improved large-scale climate predictor information. Predic… Show more

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Cited by 104 publications
(103 citation statements)
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“…However, the strong links between population growth rates and climate conditions mean that future persistence or recovery will be dependent on a wetter climate regime, particularly as temperatures rise and potentially lead to higher rates of evapotranspiration. Unfortunately, recent downscaled climate projections for Hawaiʻi predict a higher frequency and lower base height for the TWI [40], as well as decreased precipitation in both the wet and dry seasons for upper Haleakalā under future warming scenarios [7].…”
Section: Discussionmentioning
confidence: 99%
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“…However, the strong links between population growth rates and climate conditions mean that future persistence or recovery will be dependent on a wetter climate regime, particularly as temperatures rise and potentially lead to higher rates of evapotranspiration. Unfortunately, recent downscaled climate projections for Hawaiʻi predict a higher frequency and lower base height for the TWI [40], as well as decreased precipitation in both the wet and dry seasons for upper Haleakalā under future warming scenarios [7].…”
Section: Discussionmentioning
confidence: 99%
“…At the same time, species responses to climate change are increasingly recognized and predicted to be more complex than simple poleward or upslope migration [2][3][4][5], and the incomplete nature of much ecological information likely hinders a better understanding of this complexity. This may be especially true in situations where precipitation is a key determinant of distributions and demographics, because changes to regional precipitation may be driven by complicated alterations to global circulation patterns combined with the influence of local features [6,7], and changes in precipitation frequently act in opposition to changes in temperature [2,3,8].…”
Section: Introductionmentioning
confidence: 99%
“…A recent study with a high-resolution regional climate model (Zhang et al 2016) illustrates the difficulty of simulating Hawaiian Islands rainfall and the need for very high spatial resolutions to properly simulate the spatial and temporal patterns. Our approach follows that of Timm and Diaz (2009) and Elison Timm et al (2015)-namely, the use of synoptic-scale atmospheric circulation pattern information to infer changes in rainfall in Hawaii. The strongest association occurs during the nominally wet winter season of November through April, but the rainfall during the DJF period is strongly correlated with the 6-month values (r 5 0.82; cf.…”
Section: Introductionmentioning
confidence: 99%
“…However, such data cannot be directly used as input for small-scale watershed models, such as SWAT, and thus need further downscaling to obtain finer resolutions [62]. The finer resolutions have been achieved by using statistical or dynamical downscaling techniques [18,63]. In this study, we used the statistically downscaled rainfall data (anomaly report) for the Hawaiian Islands [18], which considered the Hawaiian local climate conditions, interactions, and topographic characteristics.…”
Section: Climate Change Scenariosmentioning
confidence: 99%
“…This study assesses the impact of climate change on streamflow and hydrological extremes (peak and low flows) by using the statistically downscaled rainfall data over the Hawaiian Islands for the middle century (2041-2070) and the late century (2071-2100) as reported by Timm et al [18] under the Representative Concentration Pathways (RCP) of 4.5 and 8.5 scenarios [1]. The RCP 4.5 scenario refers to a radiative forcing value of 4.5 W m −2 , while the RCP 8.5 refers to a radiative forcing value of 8.5 W m −2 by the end of 21st century relative to the pre-industrial values [1,42].…”
Section: Introductionmentioning
confidence: 99%