Development of APHRO_JP, the first Japanese high-resolution daily precipitation product for more than 100 years

Kamiguchi, Kenji; Arakawa, Osamu; Kitoh, Akio; Yatagai, Akiyo; Hamada, Atsushi; Yasutomi, Natsuko

doi:10.3178/hrl.4.60

Cited by 135 publications

(101 citation statements)

References 11 publications

(12 reference statements)

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“…Although R/A overestimates long-term precipitation (Fig. 1c), its short-term (hourly precipitation) quality is high because R/A is designed for disaster-prevention activities (Shimpo 2001b;Kamiguchi et al 2010 This study further confirmed the homogeneity of the 26-yr time series of the maximum hourly precipitation and the maximum SWI (Fig. 2).…”

Section: Methodssupporting

confidence: 67%

“…6). These differences reach several tens of millimeters per hour which might be caused by the difference of dataset, such as overestimations included in the R/A dataset (Kamiguchi et al 2010). Other candidates are statistical periods, regional frequency analysis, and the uncertainty of estimation in Toyama and Mizuno (2002) and in this study (Fig.…”

Section: Resultsmentioning

confidence: 99%

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Probable Hourly Precipitation and Soil Water Index for 50-yr Recurrence Interval over the Japanese Archipelago

Saitô

Matsuyama

2015

SOLA

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We produced a preliminary high-resolution probable hourly precipitation (mm h −1 ) and probable Soil Water Index (SWI) for a 50-yr recurrence interval over the Japanese archipelago from 5-km grid-cell Radar/Raingauge-Analyzed Precipitation (R/A) with a 26-yr time series (1988−2013). To date, the selection and applicability of a probability density function such as the Gumbel distribution (GUM) or the generalized extreme value distribution (GEV) has been investigated mainly from a statistical perspective, whereas this study examines them from the viewpoint of disaster prevention. Results show detailed spatial patterns of the probable hourly precipitation and SWI in Japan with ranges of 17.0−158.0 (±1.1−51.1) mm h −1 and 82.1−638.6 (±3.7−93.0), respectively, by spatial resolution of 5-km grid-cell. The probable hourly precipitation by GUM is less than that of GEV with a shape parameter of less than 0.0. Our results demonstrate that R/A-based probable hourly precipitation and SWI by GUM, which has robust estimation, is appropriate for landslide hazard assessment. There results revealed the potential and limitation of estimating the probable precipitation from the R/A dataset. Further study should verify the R/A dataset and the probable precipitations with accumulation of R/A.(Citation: Saito, H., and H. Matsuyama, 2015: Probable hourly precipitation and Soil Water Index for 50-yr recurrence interval over the Japanese archipelago. SOLA, 11, 118−122,

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Section: Methodssupporting

confidence: 67%

Section: Resultsmentioning

confidence: 99%

Probable Hourly Precipitation and Soil Water Index for 50-yr Recurrence Interval over the Japanese Archipelago

Saitô

Matsuyama

2015

SOLA

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“…The indices are defined by Frich et al (2002): the maximum number of consecutive dry days (CDD) and the simple daily precipitation intensity index (SDII; calculated by dividing Pav by the total number of wet days). The Pav distributions simulated by MRI-AGCM3.2S and NewRCM are in good agreement with that calculated from the 0.05 -mesh raingauge-based gridded daily precipitation data over the Japanese Islands (APHRO_JP; Kamiguchi et al 2010). MRI-AGCM3.2S simulates some spurious areas that are oversensitive to topography around the central mountainous regions of the Japanese Islands (Fig.…”

Section: Introduction Of the Spectral Nudging Methodssupporting

confidence: 66%

Development of a 5-km-Mesh Cloud-System-Resolving Regional Climate Model at the Meteorological Research Institute

Nakano

Kato

Hayashi³

et al. 2012

Journal of the Meteorological Society of Japan

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A 5-km-mesh nonhydrostatic cloud-system-resolving regional climate model (NHM-5km) has been developed at the Meteorological Research Institute (MRI) of the Japan Meteorological Agency (JMA) by improving upon the JMA operational mesoscale model (MSM). Three major changes have been made to MSM: the Kain-Frisch convective parameterization scheme has been improved to reduce the incidence of false predictions of rainfall areas along coastlines during the warm season, a spectral nudging method has been introduced to avoid phasegap between the inner model (NHM-5km) and the outer model, and a Simple Biosphere model has been applied for sophisticated representation of land surface processes. This article presents details of the first two of these modifications.A present-day climate simulation is performed using NHM-5km by nesting within the results of a 20-kmmesh atmospheric global climate model (MRI-AGCM3.2S). Taylor's skill score is used to compare the performances of NHM-5km and MRI-AGCM3.2S in terms of reproducing the spatial pattern of precipitation-based extreme indices over the Japanese Islands. The comparison shows that NHM-5km yields a significant improvement in reproducing the present-day climatology (e.g., the maximum number of consecutive dry days and the simple daily precipitation intensity index), suggesting that NHM-5km is a reliable tool for accurately predicting future changes in extreme weather at a fine spatial resolution.

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“…The spatial distribution of monthly precipitation was evaluated using data from the Asian Precipitation -Highly-Resolved Observational Data Integration Towards Evaluation of Water Resources (APHRODITE) project (Kamiguchi et al 2010;Yatagai et al 2012). The WRF model provides three-hourly integrated precipitation (mm 3h −1 ); therefore, simulated daily precipitation (mm day −1 ) was obtained by integration of these data and was then averaged to obtain monthly precipitation.…”

Section: Model and Numerical Setupmentioning

confidence: 99%

Effect of Spatial Resolution and Cumulus Parameterization on Simulated Precipitation over South Asia

Sugimoto

Takahashi

2016

SOLA

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This paper evaluates the ability of a regional-scale climate model to simulate precipitation over the South Asian tropical region. Experiments were conducted using three different spatial resolutions, with and without cumulus parameterization (CP), to assess the influence of horizontal mesh size and the CP on regional-scale precipitation. The experiments that used a finer mesh size but no CP improved the spatial distribution of monthly precipitation relative to that in the experiments based on a coarser spatial resolution. Meanwhile, the impact of horizontal mesh size was much less in the experiments that included the CP because an overestimation of precipitation caused by the CP strongly affected the simulation accuracy in these experiments. Regional differences in diurnal variations in precipitation intensity and frequency were captured reasonably well in the pre-monsoon season regardless of the spatial resolution, and both with and without the CP. In contrast, the diurnal characteristics of precipitation were difficult to simulate during the mature monsoon season. During both seasons, those experiments that incorporated the CP tended to predicted a continuous weak precipitation due to the excessive release of convective instability; accordingly, precipitation intensity was weaker, and precipitation frequency greater than in those experiments that did not use the CP.(Citation: Sugimoto, S., and H. G. Takahashi, 2016: Effect of spatial resolution and cumulus parameterization on simulated precipitation over South Asia. SOLA, 12A, 7−12,

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Development of APHRO_JP, the first Japanese high-resolution daily precipitation product for more than 100 years

Cited by 135 publications

References 11 publications

Probable Hourly Precipitation and Soil Water Index for 50-yr Recurrence Interval over the Japanese Archipelago

Probable Hourly Precipitation and Soil Water Index for 50-yr Recurrence Interval over the Japanese Archipelago

Development of a 5-km-Mesh Cloud-System-Resolving Regional Climate Model at the Meteorological Research Institute

Effect of Spatial Resolution and Cumulus Parameterization on Simulated Precipitation over South Asia

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