scholarly journals Daily precipitation concentration across Europe 1971–2010

2012 ◽  
Vol 12 (9) ◽  
pp. 2799-2810 ◽  
Author(s):  
N. Cortesi ◽  
J. C. Gonzalez-Hidalgo ◽  
M. Brunetti ◽  
J. Martin-Vide
Keyword(s):  
Temporal Trend ◽  
Daily Precipitation ◽  
Daily Rainfall ◽  
Kendall Test ◽  
Western Mediterranean ◽  
Statistical Structure ◽  
Precipitation Concentration Index ◽  
North West ◽  
Precipitation Concentration ◽  
Western Mediterranean Basin

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.

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
Keyword(s):  
Time Series ◽  
Canary Islands ◽  
Concentration Index ◽  
Daily Precipitation ◽  
Daily Rainfall ◽  
Kendall Test ◽  
High Concentration ◽  
Precipitation Concentration Index ◽  
Precipitation Concentration ◽  
The North

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.

scholarly journals Spatial distribution of the daily precipitation concentration index in Algeria

2015 ◽  
Vol 15 (3) ◽  
pp. 617-625 ◽  
Author(s):  
A. Benhamrouche ◽  
D. Boucherf ◽  
R. Hamadache ◽  
L. Bendahmane ◽  
J. Martin-Vide ◽  
...  
Keyword(s):  
Concentration Index ◽  
Rainfall Intensity ◽  
Daily Precipitation ◽  
Temporal Distribution ◽  
Daily Rainfall ◽  
Precipitation Concentration Index ◽  
Precipitation Concentration ◽  
Northern Country ◽  
Torrential Rainfall ◽  
Erosive Capacity

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.

scholarly journals Spatial distribution of the daily precipitation concentration index in Algeria

2014 ◽  
Vol 2 (4) ◽  
pp. 2709-2729 ◽  
Author(s):  
D. Boucherf ◽  
A. Benhamrouche ◽  
R. Hamadache ◽  
L. Bendahmane ◽  
J. Martin-Vide ◽  
...  
Keyword(s):  
Concentration Index ◽  
Daily Precipitation ◽  
Temporal Distribution ◽  
Daily Rainfall ◽  
Climatic Zones ◽  
Precipitation Concentration Index ◽  
Precipitation Concentration ◽  
Northern Country ◽  
Torrential Rainfall ◽  
Erosive Capacity

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.

scholarly journals Continuous mapping of benthic habitats along the coast of Corsica: A tool for the inventory and monitoring of blue carbon ecosystems

2019 ◽  
Vol 20 (3) ◽  
pp. 585 ◽  
Author(s):  
AUDREY VALETTE-SANSEVIN ◽  
GERARD PERGENT ◽  
KARINE BURON ◽  
CHRISTINE PERGENT-MARTINI ◽  
ELODIE DAMIER
Keyword(s):  
Mediterranean Basin ◽  
Continuous Mapping ◽  
Posidonia Oceanica ◽  
Western Mediterranean ◽  
Blue Carbon ◽  
Coralline Algae ◽  
North West ◽  
Small Areas ◽  
Marine Habitats ◽  
Western Mediterranean Basin

Continuous mapping of the benthic marine habitats along the coast of Corsica is based on a synthesis of all available historical data as well as new studies concerning sectors that are poorly taken into account and/or that are of particular interest. The mapped area covers more than 310 000 ha, almost all infralittoral and circalittoral, with a survey up to 150 m deep around the coast of Cap Corse. While within the infralittoral zone, Posidonia oceanica meadows are predominant, with a surface area of about 53 735 ha, in the circalittoral zone, soft bottoms (eg coastal detritic bottoms) are largely dominant, with the rhodolith association particularly well represented (26 493 ha). The coralligenous biocenosis (2 111 ha) covers relatively small areas but includes unique formations at Mediterranean scale: the coralligenous atolls. The reliability scale proposed to assess the accuracy of these maps shows satisfactory results (62% on average), with a higher value for the infralittoral zone (74%). The results confirm that Corsica's coastline is characterized by a significant expansion of the Blue Carbon ecosystems, and in particular the Posidonia oceanica meadows, which regularly reach more than 35 m depth and cover 61% of the of the seabed between 0 and -40m, and free-living coralline algae (8% of the known surfaces in the western Mediterranean basin). The areas covered by Posidonia oceanica in the Mediterranean basin are estimated at between 1.0 and 1.5 million hectares, and show a decreasing pattern along a north-west to southeast gradient.

scholarly journals Spatial Characteristics of Precipitation in the Greater Sydney Metropolitan Area as Revealed by the Daily Precipitation Concentration Index

Atmosphere ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 627
Author(s):  
Kevin K. W. Cheung ◽  
Aliakbar. A. Rasuly ◽  
Fei Ji ◽  
Lisa T.-C. Chang
Keyword(s):  
Spatial Distribution ◽  
Metropolitan Area ◽  
Concentration Index ◽  
Daily Precipitation ◽  
Thunderstorm Activity ◽  
Kriging Interpolation ◽  
Precipitation Concentration Index ◽  
Blue Mountains ◽  
Precipitation Concentration ◽  
Cross Covariance

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.

scholarly journals Climate change and its implications for rainfed agriculture in Ethiopia

2020 ◽  
Author(s):  
Desalew Meseret Moges ◽  
H. Gangadhara Bhat
Keyword(s):  
Coupled Model ◽  
Daily Rainfall ◽  
Kendall Test ◽  
Future Climate ◽  
Rainfed Agriculture ◽  
Rcp Scenarios ◽  
Precipitation Concentration Index ◽  
Spatio Temporal ◽  
Temperature Records ◽  
Climate Analysis

Abstract This study aims to investigate the spatio-temporal variability and trends in climate and its implications for rainfed agriculture in the Rib watershed, north-western highland Ethiopia from 1986 to 2050. The daily rainfall and temperature records for the period 1986–2017 were used to detect the variability and trends of the current climate using the coefficient of variation, precipitation concentration index, Mann–Kendall test, and Sen's slope estimator. On the other hand, future climate changes (2018–2050) were analyzed based on the Coupled Model Intercomparison Project version 5 (CMIP5) model outputs under under two representative concentration pathway (RCP) scenarios, RCP 4.5 and 8.5. The results showed high inter-seasonal and inter-annual variability of rainfall and temperature in the studied watershed over the last four decades. The annual and Kiremt (June–September) rainfall showed a generally increasing trend, while the Belg (March–May) rainfall exhibited a decreasing trend between 1986 and 2017. Conversely, the minimum, maximum and mean temperature demonstrated increasing trends over the study period although most of the detected trends were statistically insignificant at 5 and 10% level of significance. Future climate analysis results showed an increase in future temperature and annual and Kiremt rainfall while Belg rainfall declined.

scholarly journals Time Series Trend Analysis of Rainfall and Temperature over Kolkata and Surrounding Region

2021 ◽  
Author(s):  
Arijit De ◽  
Srishty Shreya ◽  
Neel Sarkar ◽  
Animesh Maitra
Keyword(s):  
Time Series ◽  
Concentration Index ◽  
Kendall Test ◽  
Drought Severity ◽  
Tropical Region ◽  
Monthly Precipitation ◽  
Monsoon Period ◽  
Precipitation Concentration Index ◽  
Precipitation Concentration

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.

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