scholarly journals Precipitation trends and a daily precipitation concentration index for the mid-Eastern Atlantic (Canary Islands, Spain)

2017 ◽  
Vol 43 (1) ◽  
pp. 255 ◽  
Author(s):  
P. Máyer ◽  
M.V. Marzol ◽  
J.M. Parreño

This paper pursues two objectives: first, to determine the trends of seasonal and annual precipitation in the Canary Islands and, second, to identify trends in the daily precipitation concentration index (CI). For the first objective, we used data from 1970-2013 of 23 rainfall stations located on different islands, after verifying the homogeneity of their series. For the second, the sample was reduced to eleven series since deficiencies in data records of less than 1 mm of daily precipitation were appreciated. We used the nonparametric Mann-Kendall test to determine whether the series showed linear trends in annual and seasonal precipitation and in the values of CI. The seasonal results showed negative trends in spring and winter in almost all the time series considered, especially in the north of Gran Canaria and Tenerife. Conversely, 78% of the series in autumn recorded an increase in the precipitation. The annual balance indicated a decline of rainfall in most of the locations, because of the high concentration of precipitation in winter. Finally, the majority of the time series exhibited a trend toward a greater concentration of daily rainfall, in particular those series located in areas where the main towns are settled, which is an important issue to consider because of severe flooding and other geomorphological processes.

2015 ◽  
Vol 15 (3) ◽  
pp. 617-625 ◽  
Author(s):  
A. Benhamrouche ◽  
D. Boucherf ◽  
R. Hamadache ◽  
L. Bendahmane ◽  
J. Martin-Vide ◽  
...  

Abstract. In this paper, the spatial and temporal distribution of the daily precipitation concentration index (CI) in Algeria (south Mediterranean Sea) has been assessed. CI is an index related to the rainfall intensity and erosive capacity; therefore, this index is of great interest for studies on torrential rainfall and floods. Forty-two daily rainfall series based on high-quality and fairly regular rainfall records for the period from 1970 to 2008 were used. The daily precipitation CI results allowed the identification of three climate zones: the northern country, characterized by coastal regions with CI values between 0.59 and 0.63; the highlands, with values between 0.57 and 0.62, except for the region of Biskra (CI = 0.70); and the southern region of the country, with high rainfall concentrations with values between 0.62 and 0.69.


2021 ◽  
Author(s):  
Arijit De ◽  
Srishty Shreya ◽  
Neel Sarkar ◽  
Animesh Maitra

Study of long term variability of temperature and rainfall in the context of climate change is of much importance particularly in the region where rainfed agriculture is predominant. Long term trends of temperature and rainfall have been investigated over Kolkata, India, a tropical region using gridded monthly precipitation and temperature data obtained from Global Precipitation and Climate Centre (GPCC V7) with 0.5° X 0.5° resolution for the period 1901 to 2014. Precipitation concentration index, coefficient of variation, rainfall anomaly have been calculated and Palmer drought severity index data have been analyzed. Furthermore, Mann-Kendall test and sen’s slope estimator have been used to detect time series trend. Annual temperature and rainfall have been increased with a rate of 0.0082°C/ year and 0.03 mm/ year respectively. Statistically significant increasing trend has been observed for most of the months for temperature and rainfall. Winter and monsoon period shows highest and lowest inter-annual variability respectively. Rainfall with high precipitation concentration index (16-20) has been observed for the period 1951-1975 and 1976-2000. It has been observed that the number of years with dry conditions have been increased. However, the intensity of dryness is very near to zero. The information from this study will be helpful for the farmers to plan for resilient farming.


2014 ◽  
Vol 2 (4) ◽  
pp. 2709-2729 ◽  
Author(s):  
D. Boucherf ◽  
A. Benhamrouche ◽  
R. Hamadache ◽  
L. Bendahmane ◽  
J. Martin-Vide ◽  
...  

Abstract. In this paper, the spatial and temporal distribution of the daily precipitation concentration index (CI) in Algeria (South Mediterranean Sea) has been assessed. Forty-two daily rainfall series based on high quality and fairly regular rainfall records for the period from 1970 to 2008 were used. The daily precipitation concentration index results allowed identifying three climatic zones: the northern country, characterized by coastal regions with CI values between 0.59 and 0.63, the highlands, with values between 0.57 and 0.62 (average of 0.61), except for the area of Biskra (CI = 0.70), and the southern region of the country, with high rainfall concentrations, with values between 0.62 and 0.69. CI is an index related to the rainfall intensity and erosive capacity; therefore, this index has great interest for studies on torrential rainfall and floods.


2012 ◽  
Vol 12 (9) ◽  
pp. 2799-2810 ◽  
Author(s):  
N. Cortesi ◽  
J. C. Gonzalez-Hidalgo ◽  
M. Brunetti ◽  
J. Martin-Vide

Abstract. Daily Precipitation Concentration Index (CI) was used in this paper to investigate the statistical structure of daily precipitation across Europe based on 530 daily rainfall series for the period 1971–2010. Annual CI shows a North-West to South-East gradient (excluding Turkey and Greece). The same gradient is also observed in winter, spring and autumn, while in summer the gradient is North-South. Highest annual and seasonal daily concentrations of rainfall were detected in the western Mediterranean basin, mainly along Spanish and French coastlands. Latitude and distance from the sea seems to play a major role on spatial CI distribution; at subregional scale also relief plays an important role. The Mann–Kendall test did not identify uniform significant pattern in temporal trend across Europe for 1971–2010 period. The only broad areas with increasing annual and seasonal CI values are located in northern and south-western France and northern coastlands of the Iberian Peninsula. This findings suggest that daily precipitation distribution has not significantly changed during the 1971–2010 over Europe.


2021 ◽  
Vol 05 (1) ◽  
pp. 50-67
Author(s):  
Surah Hussain ◽  
Safa Khalil

This research is about analysis seasonality of precipitation concentration in the north of Iraq, by using multiple methods of precipitation concentration Index .The first is the standard vectors method that determines the date of concentration and the number of the rainy months, the second, precipitation concentration index (PCI) that classify the degree of (PCI) annually, supra-seasonal, seasonal depending on monthly precipitation data from nine metrological stations For 36 years (1979-2014), using Excel, Arc map 10.8 and Oriana software in calculates and representation of precipitation concentration. the result shows that all stations in the study area share the same date (Jan.-Feb.) and the stations differ in the length of the rainy season (7-9) month. and for PCI results, PCI annual shows denote a moderate concentration in the whole study area, PCI supra-seasonal value shows (in the wet season uniform rain distribution, the dry season value shows high concentration, PCI seasonal Shows (autumn) moderate concentration, winter: low concentration in all stations, in the spring: PCI value shows the moderate concentration in Erbil, Kirkuk, Sulaymaniyah, Salaheddin, and the other stations shows uniform rain distribution. Keywords: seasonal rain concentration, mathematical vector, PCI.


Atmosphere ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 627
Author(s):  
Kevin K. W. Cheung ◽  
Aliakbar. A. Rasuly ◽  
Fei Ji ◽  
Lisa T.-C. Chang

In this study; the spatial distribution of the Daily Precipitation Concentration Index (DPCI) has been analyzed inside the Greater Sydney Metropolitan Area (GSMA). Accordingly, the rainfall database from the Australian Bureau of Meteorology archive was utilized after comprehensive quality control. The compiled data contains a set of 41 rainfall stations indicating consistent daily precipitation series from 1950 to 2015. In the analysis of the DPCI across GSMA the techniques of Moran’s Spatial Autocorrelation has been applied. In addition, a cross-covariance method was applied to assess the spatial interdependency between vector-based datasets after performing an Ordinary Kriging interpolation. The results identify four well-recognized intense rainfall development zones: the south coast and topographic areas of the Illawarra district characterized by Tasman Sea coastal regions with DPCI values ranging from 0.61 to 0.63, the western highlands of the Blue Mountains, with values between 0.60 and 0.62, the inland regions, with lowest rainfall concentrations between 0.55 and 0.59, and lastly the districts located inside the GSMA with DPCI ranging 0.60 to 0.61. Such spatial distribution has revealed the rainstorm and severe thunderstorm activity in the area. This study applies the present models to identify the nature and mechanisms underlying the distribution of torrential rains over space within the metropolis of Sydney, and to monitor any changes in the spatial pattern under the warming climate.


2017 ◽  
Vol 19 (2) ◽  
pp. 13 ◽  
Author(s):  
Ricardo Zubieta ◽  
Miguel Saavedra

Los altos porcentajes de concentración de precipitación diaria en pocos días, pueden incrementar el potencial de erosión, inestabilidad de laderas y riesgo de inundaciones, siendo estos problemas comunes en el Perú, por lo que es importante el conocimiento acerca de la precipitación a nivel diario. En este articulo, se ha llevado a cabo una investigación acerca de los patrones espaciales y temporales de la concentración de precipitación diaria en los andes centrales del Perú, mediante el índice de concentración (IC), que evalúa la variación de la valoración de precipitación diaria, la contribución de grandes lluvias a la cantidad total presentada. El índice es aplicado a una curva exponencial como Y = aX exp(bX ) , el cual ajusta el porcentaje acumulado de precipitación en Y contribuida por el porcentaje acumulado de días X llevado a cabo en un lugar, en el periodo 1964-2004, con el cual es posible generar superficies de concentración pluviométrica. Donde las máximas concentraciones registradas en el valle del rio Mantaro, posiblemente estén asociadas a la dinámica de los vientos, como la corriente de chorro de Sudamérica, que se adentran al valle proveniente del Norte y Sur. Donde el 25% de días más lluviosos representan el 60% o más de la cantidad total de días con lluvia. Palabras clave.-Índice de concentración, Precipitación diaria; Valle del rio Mantaro. ABSTRACTHigh percentages total precipitation concentration in a few very rainy days can increase the potential of erosion, instability and risks of floods, these problems are common in Peru. So it is important to know about the daily precipitation. This paper presents, an investigation of the spatial and temporal patterns of daily precipitation concentration, in central Andes of Perú, the Concentration index (CI) was evaluates measurement the varying weight of daily precipitation, the contribution of the days of greatest rainfall to the total amount. The index is applied to exponential curves such as Y = aX exp(bX), which adjust the accumulated percentages of precipitation Y contributed by the accumulated percentage of days X on which it took place, in the period 1964-2004, with which it is possible to generate concentration surfaces daily pluviometric. The highest concentrations recorded in the Mantaro river valley, may be associated with the dynamics of the winds as the stream in South America, leading into the valley from the north and south, where 25% of rainy days account for 60% or more of the total number of days with rain. Keywords.- Concentration index; Daily precipitation; Mantaro river valley.


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