2020
DOI: 10.2151/sola.2020-014
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Evaluation of Two Bias-Correction Methods for Gridded Climate Scenarios over Japan

Abstract: Bias corrected climate scenarios over Japan were developed using two distinct methods, namely, the cumulative distribution function-based downscaling method (CDFDM) and Gaussian-type Scaling approach (GSA). We compared spatial distribution, monthly variation, and future trends. The seasonal distribution of bias-corrected data using CDFDM closely followed the original general circulation model (GCM) outputs. GSA overestimated the amount of precipitation by 12-18 % in every season because of an unsuitable assump… Show more

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Cited by 27 publications
(57 citation statements)
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“…1 a contains the Daisetsu Mountains, which are of particular interest in this study. Figure 1 b shows the annual mean surface air temperatures under current climate conditions (average of 2001–2010) that were estimated using the bias-corrected and downscaled climate model outputs by Ishizaki et al 54 . In that study, bias-corrected climate scenarios based on four global climate models (GCMs, see " Methods " section) were generated; Fig.…”
Section: Resultsmentioning
confidence: 99%
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“…1 a contains the Daisetsu Mountains, which are of particular interest in this study. Figure 1 b shows the annual mean surface air temperatures under current climate conditions (average of 2001–2010) that were estimated using the bias-corrected and downscaled climate model outputs by Ishizaki et al 54 . In that study, bias-corrected climate scenarios based on four global climate models (GCMs, see " Methods " section) were generated; Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Saito et al 52 used this index to develop a high-resolution (2 km) method to estimate the permafrost distribution in northeastern Asia, including the Japanese mountainous permafrost region investigated in the present study. We therefore employed the same method to infer the permafrost distribution using the bias-corrected, 1-km resolution climate scenarios developed by Ishizaki et al 54 .…”
Section: Resultsmentioning
confidence: 99%
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“…Working with the outputs of GCMs is in need of consideration of uncertainties due mainly to the structure of the model, i.e. the systematic errors [34]. The uncertainty may have rooted in the nature of the climate system also, however, it is not possible to deal with those types of uncertainties in climate change impact studies.…”
Section: Study Approachmentioning
confidence: 99%