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Comparing SPI and RDI Applied at Local Scale as Influenced by Climate

Published on Feb 1, 2018in Water Resources Management 2.99
· DOI :10.1007/s11269-017-1855-7
Abdelaaziz Merabti2
Estimated H-index: 2
('ENS Paris': École Normale Supérieure),
Hind Meddi10
Estimated H-index: 10
('ENS Paris': École Normale Supérieure)
+ 1 AuthorsLuis S. Pereira51
Estimated H-index: 51
(Instituto Superior de Agronomia)
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Abstract
Drought and wetness events were studied in the Northeast Algeria with SPI and RDI. The study area includes a variety of climatic conditions, ranging from humid in the North, close to the Mediterranean Sea, to arid in the South, near the Sahara Desert. SPI only uses precipitation data while RDI uses a ratio between precipitation and potential evapotranspiration (PET). The latter was computed with the Thornthwaite equation, thus using temperature data only. Monthly precipitation data were obtained from 123 rainfall stations and monthly temperature data were obtained from CFSR reanalysis gridded temperature data. Both data sets cover the period 1979–80 to 2013–14. Using ordinary kriging, the gridded temperature data was interpolated to all the locations having precipitation data, thus providing to compute SPI and RDI with the same observed rainfall data for the 3-, 6- and 12-month time scales. SPI and RDI were therefore compared at station level and results and have shown that both indices revealed more sensitive to drought when applied in the semi-arid and arid zones. Differently, more wetness events were detected by RDI in the more humid locations. Comparing both indices, they show a coherent and similar behavior, however RDI shows smaller differences among climate zones and time-scales, which is an advantage relative to the SPI and is likely due to including PET in RDI.
  • References (57)
  • Citations (3)
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References57
Newest
Published on Feb 1, 2018in Water Resources Management 2.99
Abdelaaziz Merabti2
Estimated H-index: 2
('ENS Paris': École Normale Supérieure),
Diogo S. Martins6
Estimated H-index: 6
(University of Lisbon)
+ 1 AuthorsLuis S. Pereira51
Estimated H-index: 51
(University of Lisbon)
The spatial and temporal variability of droughts were studied for the Northeast Algeria using SPI and RDI computed with monthly precipitation data from 123 rainfall stations and CFSR reanalysis monthly temperature data covering the period 1979–80 to 2013–14. The gridded temperature data was interpolated to all the locations having precipitation data, thus providing to compute SPI and RDI with the time scales of 3-, 6- and 12-month with the same observed rainfall data. Spatial and temporal patter...
3 Citations Source Cite
Published on Sep 1, 2017in Water Resources Management 2.99
U. Surendran9
Estimated H-index: 9
,
V. Kumar2
Estimated H-index: 2
+ 1 AuthorsP. Raja6
Estimated H-index: 6
(ICAR: Indian Council of Agricultural Research)
Drought is considered as a major natural hazard/ disaster, affecting several sectors of the economy and the environment worldwide. Drought, a complex phenomenon can be characterised by its severity, duration, and areal extent. Drought indices for the characterization and the monitoring of drought simplify the complex climatic functions and can quantify climatic anomalies for their severity, duration, and frequency. With this as background drought indices were worked out for Madurai district of T...
6 Citations Source Cite
Published on Aug 1, 2017in Water Resources Management 2.99
George Tsakiris20
Estimated H-index: 20
(NTUA: National Technical University of Athens)
The paper presents an overview of issues related to the estimation of drought severity, the vulnerability of affected systems towards the drought hazards, the assessment of system drought risk and the required preparedness planning against droughts. To face these recurrent and temporary phenomena, a proactive approach is promoted based on technocratic support, systematic organisational and institutional structure and active public participation. Special emphasis is given to the simple and practi...
10 Citations Source Cite
Published on May 1, 2017in Catena 3.85
Abeyou W. Worqlul10
Estimated H-index: 10
(Texas AgriLife Research),
Haw Yen1
Estimated H-index: 1
(TU: Temple University)
+ 3 AuthorsTammo S. Steenhuis66
Estimated H-index: 66
(Bahir Dar University)
Abstract Accurate prediction of hydrological models requires accurate spatial and temporal distribution of rainfall. In developing countries, the network of observation stations for rainfall is sparse and unevenly distributed. Satellite-based products have the potential to overcome this shortcoming. The objective of this study is to compare the advantages and the limitation of commonly used high-resolution satellite rainfall products (Climate Forecast System Reanalysis (CFSR) and Tropical Rainfa...
15 Citations Source Cite
Published on Apr 1, 2017in Hydrology Research
Ayoub Zeroual2
Estimated H-index: 2
(Université du Québec),
Ali A. Assani14
Estimated H-index: 14
(Université du Québec),
Hind Meddi10
Estimated H-index: 10
Many studies have highlighted breaks in mean values of temperature and precipitation time series since the 1970s. Given that temperatures have continued to increase following that decade, the first question addressed in this study is whether other breaks in mean values have occurred since that time. The second question is to determine which climate indices influence temperature and rainfall in the coastal region of Northern Algeria. To address these two questions, we analyzed the temporal variab...
9 Citations Source Cite
Published on Jan 1, 2017in Theoretical and Applied Climatology 2.72
S. Taibi1
Estimated H-index: 1
,
Hind Meddi10
Estimated H-index: 10
+ 1 AuthorsAli A. Assani14
Estimated H-index: 14
(Université du Québec à Trois-Rivières)
This work aims, as a first step, to analyze rainfall variability in Northern Algeria, in particular extreme events, during the period from 1940 to 2010. Analysis of annual rainfall shows that stations in the northwest record a significant decrease in rainfall since the 1970s. Frequencies of rainy days for each percentile (5th, 10th, 25th, 50th, 75th, 90th, 95th, and 99th) and each rainfall interval class (1–5, 5–10, 10–20, 20–50, and ≥50 mm) do not show a significant change in the evolution of d...
9 Citations Source Cite
Published on Jan 1, 2017in Water Resources Management 2.99
Ruqayah Mohammed5
Estimated H-index: 5
(University of Salford),
Miklas Scholz30
Estimated H-index: 30
(University of Salford)
Numerous drought indices with various intricacy have been utilised in several climatic regions. Presently, the reconnaissance drought index (RDI), which is considered as a powerful index of meteorological drought, is acquisitioning approval primarily in semi-arid and arid climatologic areas. Because RDI is based on precipitation (P) and evapotranspiration (ET), it assesses the ET estimation effects on the characterisation of drought severity computed by RDI. The current study sheds light on the ...
13 Citations Source Cite
Published on Dec 1, 2016in Water Resources Management 2.99
Ana A. Paulo11
Estimated H-index: 11
(IPN: Instituto Politécnico Nacional),
Diogo S. Martins6
Estimated H-index: 6
(University of Lisbon),
Luis S. Pereira51
Estimated H-index: 51
(University of Lisbon)
Drought indices, such as the Standardized Precipitation Index (SPI) are used to quantify drought severity. Due to the SPI probabilistic and standardized nature, a given value of SPI computed in distinct time periods or locations indicates the same relative drought severity but corresponds to different amounts of precipitation. Thus, the present study aims at contributing for a comprehensive analysis of the influence of long-term precipitation variability on drought assessment by the SPI. Long re...
10 Citations Source Cite
Published on Dec 1, 2016in Water Resources Management 2.99
George Tsakiris20
Estimated H-index: 20
(NTUA: National Technical University of Athens),
Nikos Kordalis1
Estimated H-index: 1
(NTUA: National Technical University of Athens)
+ 2 AuthorsHarris Vangelis10
Estimated H-index: 10
(NTUA: National Technical University of Athens)
Droughts can be considered as multidimensional hazardous phenomena characterised by three attributes: severity, duration and areal extent. Conventionally, drought events are assessed for their severity, using drought indices such as SPI (Standardised Precipitation Index), RDI (Reconnaissance Drought Index), PDSI (Palmer Drought Severity Index) and many others. This approach may be extended to incorporate the modelling of an additional dimension, the duration or the areal extent. Since the margin...
12 Citations Source Cite
Published on Sep 1, 2016in Water Resources Management 2.99
Abdol Rassoul Zarei4
Estimated H-index: 4
,
Mohammad Mehdi Moghimi2
Estimated H-index: 2
,
Mohammad Reza Mahmoudi6
Estimated H-index: 6
Drought is one of the main natural hazards affecting the economy and the environment of large areas. Droughts cause crop losses, urban water supply shortages, social alarm, degradation and desertification. In this study, the spatial characteristics of annual and seasonal drought were evaluated based on climate data from 16 synoptic stations during the period of 1980–2010 in south of Iran. To estimate the drought severity used modified Reconnaissance Drought Index (RDI) and to prepare maps, ArcGi...
24 Citations Source Cite
Cited By3
Newest
Published on Jul 16, 2019in International Journal of Climatology 3.60
Hamd Ullah (IIUI: International Islamic University, Islamabad), Muhammad Akbar (IIUI: International Islamic University, Islamabad), Firdos Khan4
Estimated H-index: 4
(National University of Science and Technology)
Source Cite
Published on May 1, 2019in Environmental Earth Sciences 1.87
Ahmad Haseeb Payab1
Estimated H-index: 1
,
Umut Türker6
Estimated H-index: 6
Drought monitoring and assessment are essential for sustainable and effective planning and management of scarce resources under changing environment. Large number of indices are developed that can be utilized to characterize drought events. This study aims to compare and evaluate the performance of standardized precipitation index (SPI), reconnaissance drought index (RDI), statistical Z-Score, China Z-Index (CZI), Supply and Demand Drought Index (SDDI) and combined China Z and Supply and Demand ...
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Published on Aug 21, 2018in Remote Sensing 4.12
Virgílio A. Bento3
Estimated H-index: 3
,
Isabel F. Trigo28
Estimated H-index: 28
+ 1 AuthorsCarlos C. DaCamara21
Estimated H-index: 21
The Vegetation Health Index (VHI) is widely used for monitoring drought using satellite data. VHI depends on vegetation state and thermal stress, respectively assessed via (i) the Vegetation Condition Index (VCI) that usually relies on information from the visible and near infra-red parts of the spectrum (in the form of Normalized Difference Vegetation Index, NDVI); and (ii) the Thermal Condition Index (TCI), based on top of atmosphere thermal infrared (TIR) brightness temperature or on TIR-deri...
Source Cite
Published on Feb 1, 2018in Water Resources Management 2.99
Abdelaaziz Merabti2
Estimated H-index: 2
('ENS Paris': École Normale Supérieure),
Diogo S. Martins6
Estimated H-index: 6
(University of Lisbon)
+ 1 AuthorsLuis S. Pereira51
Estimated H-index: 51
(University of Lisbon)
The spatial and temporal variability of droughts were studied for the Northeast Algeria using SPI and RDI computed with monthly precipitation data from 123 rainfall stations and CFSR reanalysis monthly temperature data covering the period 1979–80 to 2013–14. The gridded temperature data was interpolated to all the locations having precipitation data, thus providing to compute SPI and RDI with the time scales of 3-, 6- and 12-month with the same observed rainfall data. Spatial and temporal patter...
3 Citations Source Cite