Statistical distributions of the daily rainfall regime in Catalonia (Northeastern Spain) for the years 1950-2000

2005 ◽  
Vol 25 (10) ◽  
pp. 1381-1403 ◽  
Author(s):  
A. Burgueño ◽  
M. D. Martínez ◽  
X. Lana ◽  
C. Serra
Keyword(s):  
Daily Rainfall ◽  
Rainfall Regime ◽  
Statistical Distributions

Statistical distributions of daily rainfall regime in Europe for the period 1951–2000

2010 ◽  
Vol 102 (1-2) ◽  
pp. 213-226 ◽  
Author(s):  
A. Burgueño ◽  
M. D. Martínez ◽  
C. Serra ◽  
X. Lana
Keyword(s):  
Daily Rainfall ◽  
Rainfall Regime ◽  
Statistical Distributions

scholarly journals A synthetic view of rainfall intensification in the West African Sahel

2022 ◽  
Author(s):  
Guillaume Chagnaud ◽  
Geremy Panthou ◽  
Theo Vischel ◽  
Thierry Lebel
Keyword(s):  
Decadal Variability ◽  
Regional Scale ◽  
Daily Rainfall ◽  
Extreme Value Distribution ◽  
Extreme Rainfall ◽  
West African ◽  
Rainfall Regime ◽  
The West ◽  
West African Sahel ◽  
African Sahel

Abstract The West African Sahel has been facing for more than 30 years an increase in extreme rainfalls with strong socio-economic impacts. This situation challenges decision-makers to define adaptation strategies in a rapidly changing climate. The present study proposes (i) a quantitative characterization of the trends in extreme rainfalls at the regional scale, (ii) the translation of the trends into metrics that can be used by hydrological risk managers, (iii) elements for understanding the link between the climatology of extreme and mean rainfall. Based on a regional non-stationary statistical model applied to in-situ daily rainfall data over the period 1983-2015, we show that the region-wide increasing trend in extreme rainfalls is highly significant. The change in extreme value distribution reflects an increase in both the mean and variability, producing a 5%/decade increase in extreme rainfall intensity whatever the return period. The statistical framework provides operational elements for revising the design methods of hydraulic structures which most often assume a stationary climate. Finally, the study shows that the increase in extreme rainfall is more attributable to an increase in the intensity of storms (80%) than to their occurrence (20%), reflecting a major disruption from the decadal variability of the rainfall regime documented in the region since 1950.

scholarly journals From regional climate simulations to the hydrological information needed for basin scale impact studies

2010 ◽  
Vol 26 ◽  
pp. 25-31
Author(s):  
I. Portoghese ◽  
E. Bruno ◽  
M. Vurro
Keyword(s):  
Climate Models ◽  
Climate Model ◽  
Regional Climate ◽  
Daily Rainfall ◽  
Climate Change Impacts ◽  
Stochastic Modelling ◽  
Rain Gauge ◽  
Hydrological Processes ◽  
Rainfall Regime ◽  
Basin Scale

Abstract. The accuracy of local downscaling of rainfall predictions provided by climate models is crucial for the assessment of climate change impacts on hydrological processes because the presence of bias in downscaled precipitation may produce large bias in the assessment of soil moisture dynamics, river flows, and groundwater recharge. In this study, the output of a regional climate model (RCM) is downscaled using a stochastic modelling of the point rainfall process able to adequately reproduce the daily rainfall intermittency which is one of the crucial aspects for the hydrological processes characterizing Mediterranean environments. The historical time-series from a dense rain-gauge network were used for the analysis of the RCM bias in terms of dry and wet daily period and then to investigate the predicted alteration in the local rainfall regime. A Poisson Rectangular Pulse (PRP) model (Rodriguez-Iturbe et al., 1987) was finally adopted for the stochastic generation of local daily rainfall as a continuous-time point process with forcing parameters resulting from the bias correction of the RCM scenario.

scholarly journals Rainfall Regime of a Mountainous Mediterranean Region: Statistical Analysis at Short Time Steps

2012 ◽  
Vol 51 (3) ◽  
pp. 429-448 ◽  
Author(s):  
Gilles Molinié ◽  
Davide Ceresetti ◽  
Sandrine Anquetin ◽  
Jean Dominique Creutin ◽  
Brice Boudevillain
Keyword(s):  
Daily Rainfall ◽  
Large River ◽  
Rain Gauge ◽  
Heavy Rainfall Event ◽  
Rainfall Regime ◽  
Study Region ◽  
Rain Gauge Data ◽  
Rain Gauges ◽  
Gauge Data ◽  
The Difference

AbstractThis paper presents an analysis of the rainfall regime of a Mediterranean mountainous region of southeastern France. The rainfall regime is studied on temporal scales from hourly to yearly using daily and hourly rain gauge data of 43 and 16 years, respectively. The domain is 200 × 200 km2 with spatial resolution of hourly and daily rain gauges of about 8 and 5 km, respectively. On average, yearly rainfall increases from about 0.5 m yr−1 in the large river plain close to the Mediterranean Sea to up to 2 m yr−1 over the surrounding mountain ridges. The seasonal distribution is also uneven: one-third of the cumulative rainfall occurs during the autumn season and one-fourth during the spring. At finer time scales, rainfall is studied in terms of rain–no-rain intermittency and nonzero intensity. The monthly intermittency (proportion of dry days per month) and the daily intermittency (proportion of dry hours per day) is fairly well correlated with the relief. The higher the rain gauges are, the lower the monthly and daily intermittencies are. The hourly and daily rainfall intensities are analyzed in terms of seasonal variability, diurnal cycle, and spatial pattern. The difference between regular and heavy-rainfall event is depicted by using both central parameters and maximum values of intensity distributions. The relationship between rain gauge altitudes and rainfall intensity is grossly inverted relative to intermittency and is also far more complex. The spatial and temporal rainfall patterns depicted from rain gauge data are discussed in the light of known meteorological processes affecting the study region.

scholarly journals ANALYSIS OF THE EVOLUTION OF GULLY EROSION IN OLIVE GROVES USING PHOTOGRAMMETRY TECHNIQUES. RELATIONSHIPS WITH RAINFALL REGIME

2020 ◽  
Vol VI-3/W1-2020 ◽  
pp. 19-26
Author(s):  
T. Fernández ◽  
J. M. Gómez-Lopez ◽  
J. L. Pérez-García ◽  
J. Cardenal ◽  
J. Delgado ◽  
...  
Keyword(s):  
Climate Change Scenario ◽  
Daily Rainfall ◽  
Gully Erosion ◽  
Change Scenario ◽  
Rainfall Regime ◽  
Control Points ◽  
Common Reference ◽  
Erosion Processes ◽  
Ground Control Points ◽  
Olive Groves

Abstract. Gully erosion is one of the main processes of soil degradation, reaching 50%–90% of total erosion in basins. As erosion processes are related to rainfall regime, the depletion and deposition rates can be increasing in a climate change scenario. This paper deals with the quantification of erosion processes in an active gully affecting olive groves of the province of Jaén (southern Spain), using geomatics techniques (photogrammetry and LiDAR). Eight historical aerial flights from 1980 to 2016, a LiDAR dataset (2014) and 2 recent UAS surveys (2019–2020) were used and processed in a common reference system with the support of field GNSS ground control points. Then, DSMs and orthophotographs were obtained and DSMs of differences (DoDs) calculated, from which we can identify gullies, calculate the depletion and deposition areas, and estimate height differences and volumes involved. These analyses result in an average depletion of about −1.6 m (incision) and a waste volume up to 30000 m3 (soil losses), which lead to a rates of −0.05 m/year and −44 t/ha*year, respectively. These rates are very different along the considered periods, reaching the maximum values (near −300–450 t/ha*year) in 2009–2011 and 2011–2013, coinciding with the periods of higher rainfall in the last fifty years, that probably have underwent an increase of 10–30% in the last decades. Thus, the evolution of the gully area for 40 years has been analysed in relation to the rainfall regime that has been established from the daily rainfall data.

scholarly journals Stochastic bias-correction of daily rainfall scenarios for hydrological applications

2011 ◽  
Vol 11 (9) ◽  
pp. 2497-2509 ◽  
Author(s):  
I. Portoghese ◽  
E. Bruno ◽  
N. Guyennon ◽  
V. Iacobellis
Keyword(s):  
Stochastic Model ◽  
Bias Correction ◽  
Climate Models ◽  
Climate Model ◽  
Daily Rainfall ◽  
Precipitation Process ◽  
Rainfall Regime ◽  
Storm Events ◽  
Storm Intensity ◽  
Model Control

Abstract. The accuracy of rainfall predictions provided by climate models is crucial for the assessment of climate change impacts on hydrological processes. In fact, the presence of bias in downscaled precipitation may produce large bias in the assessment of soil moisture dynamics, river flows and groundwater recharge. In this study, a comparison between statistical properties of rainfall observations and model control simulations from a Regional Climate Model (RCM) was performed through a robust and meaningful representation of the precipitation process. The output of the adopted RCM was analysed and re-scaled exploiting the structure of a stochastic model of the point rainfall process. In particular, the stochastic model is able to adequately reproduce the rainfall intermittency at the synoptic scale, which is one of the crucial aspects for the Mediterranean environments. Possible alteration in the local rainfall regime was investigated by means of the historical daily time-series from a dense rain-gauge network, which were also used for the analysis of the RCM bias in terms of dry and wet periods and storm intensity. The result is a stochastic scheme for bias-correction at the RCM-cell scale, which produces a realistic representation of the daily rainfall intermittency and precipitation depths, though a residual bias in the storm intensity of longer storm events persists.

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