Seasonal characteristics of the relationship between daily precipitation intensity and surface temperature

Berg, Peter; Haerter, Jan O.; Thejll, Peter; Piani, C.; Hagemann, Stefan; Christensen, Jens Hesselbjerg

doi:10.1029/2009jd012008

Cited by 232 publications

(213 citation statements)

References 33 publications

(40 reference statements)

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“…A number of statistical studies have revealed the increase of extreme precipitation intensity with temperature on the basis of percentiles defined for each temperature range, although the rate of increase may deviate from the CC relationship (Berg et al 2009Lenderink and van Meijgaard 2010;Utsumi et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Relationship between Interannual Variations of Extreme Hourly Precipitation and Air/Sea-Surface Temperature in Japan

Fujibe¹

2015

SOLA

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Long-term changes in extreme hourly precipitation in Japan were examined using data at 983 stations for 1979 to 2013, with relation to the variations in air temperature (AT) and sea-surface temperature (SST). According to the statistics over the whole country, annual maximum and 95 percentile precipitations show increasing trends of 2−4%/decade, whereas AT and SST have risen at a rate of 0.2−0.3°C/decade. Analysis for each region and season indicates that the increase in extreme precipitation is a nation-wide feature and is not limited to a single season. Moreover, year-to-year variations in extreme precipitation tend to be in phase with those of AT and SST, with a correlation coefficient of 0.5-0.6 on the annual basis, although negative correlation is found for the summer season in western Japan and the Nansei Islands.(Citation: Fujibe, F., 2015: Relationship between interannual variations of extreme hourly precipitation and air/sea-surface temperature in Japan. SOLA, 11, 5−9,

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Section: Introductionmentioning

confidence: 99%

Relationship between Interannual Variations of Extreme Hourly Precipitation and Air/Sea-Surface Temperature in Japan

Fujibe¹

2015

SOLA

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“…In a warmer future world, understanding the local and regional implications of changes in the hydrological cycle is critical to planning for water security (Oki and Kanae, 2006). Dynamical regional climate models (RCMs) have been used to assess climate change impacts on spatial distributions of rainfall (Kilsby, 2007), seasonal changes to rainfall (Kendon et al, 2010), and changes to rainfall intensity (Berg et al, 2009) and frequency (Mailhot et al, 2007) at spatial scales relevant to water managers.…”

Section: Introductionmentioning

confidence: 99%

High-resolution projections of surface water availability for Tasmania, Australia

Bennett

Ling²,

Post

et al. 2012

Hydrol. Earth Syst. Sci.

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Abstract. Changes to streamflows caused by climate change may have major impacts on the management of water for hydro-electricity generation and agriculture in Tasmania, Australia. We describe changes to Tasmanian surface water availability from 1961-1990 to 2070-2099 using high-resolution simulations. Six fine-scale (∼10 km 2 ) simulations of daily rainfall and potential evapotranspiration are generated with the CSIRO Conformal Cubic Atmospheric Model (CCAM), a variable-resolution regional climate model (RCM). These variables are bias-corrected with quantile mapping and used as direct inputs to the hydrological models AWBM, IHACRES, Sacramento, SIMHYD and SMAR-G to project streamflows.The performance of the hydrological models is assessed against 86 streamflow gauges across Tasmania. The SIMHYD model is the least biased (median bias = −3 %) while IHACRES has the largest bias (median bias = −22 %). We find the hydrological models that best simulate observed streamflows produce similar streamflow projections.There is much greater variation in projections between RCM simulations than between hydrological models. Marked decreases of up to 30 % are projected for annual runoff in central Tasmania, while runoff is generally projected to increase in the east. Daily streamflow variability is projected to increase for most of Tasmania, consistent with increases in rainfall intensity. Inter-annual variability of streamflows is projected to increase across most of Tasmania. This is the first major Australian study to use highresolution bias-corrected rainfall and potential evapotranspiration projections as direct inputs to hydrological models. Our study shows that these simulations are capable of producing realistic streamflows, allowing for increased confidence in assessing future changes to surface water variability.

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“…The next step is to separate the dataset into seasonal sets in order to take into account the meteorological seasonality. Berg et al (2009) focused on the data of July to characterize the scaling in summer and the data of January for the winter time with the argument that the trends are the strongest for these periods. This paper follows the same approach but extends the period to 3 months in order to increase the amount of considered data and capture the full season.…”

Section: Methodsmentioning

confidence: 99%

“…Above 50°N, the strength of the association becomes even stronger. Berg et al (2009) showed that the dependence between temperature and precipitation was seasonally conditioned. In addition, Berg and Haerter (2011) analyzed the P-T scaling for different precipitation types in Germany.…”

Section: Introductionmentioning

confidence: 99%

Relevance of the correlation between precipitation and the 0 °C isothermal altitude for extreme flood estimation

Zeimetz

Schaefli

Artigue

et al. 2017

Journal of Hydrology

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a b s t r a c tExtreme floods are commonly estimated with the help of design storms and hydrological models. In this paper, we propose a new method to take into account the relationship between precipitation intensity (P) and air temperature (T) to account for potential snow accumulation and melt processes during the elaboration of design storms. The proposed method is based on a detailed analysis of this P-T relationship in the Swiss Alps. The region, no upper precipitation intensity limit is detectable for increasing temperature. However, a relationship between the highest measured temperature before a precipitation event and the duration of the subsequent event could be identified. An explanation for this relationship is proposed here based on the temperature gradient measured before the precipitation events. The relevance of these results is discussed for an example of Probable Maximum Precipitation-Probable Maximum Flood (PMP-PMF) estimation for the high mountainous Mattmark dam catchment in the Swiss Alps.The proposed method to associate a critical air temperature to a PMP is easily transposable to similar alpine settings where meteorological soundings as well as ground temperature and precipitation measurements are available. In the future, the analyses presented here might be further refined by distinguishing between precipitation event types (frontal versus orographic).

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Seasonal characteristics of the relationship between daily precipitation intensity and surface temperature

Cited by 232 publications

References 33 publications

Relationship between Interannual Variations of Extreme Hourly Precipitation and Air/Sea-Surface Temperature in Japan

Relationship between Interannual Variations of Extreme Hourly Precipitation and Air/Sea-Surface Temperature in Japan

High-resolution projections of surface water availability for Tasmania, Australia

Relevance of the correlation between precipitation and the 0 °C isothermal altitude for extreme flood estimation

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