Towards a theoretical understanding of multiscalar drought indices based on the relationship between precipitation and standardized precipitation index

2018 ◽  
Vol 136 (3-4) ◽  
pp. 1465-1473
Author(s):  
Lin Wang ◽  
Gang Huang ◽  
Wen Chen
Keyword(s):  
Standardized Precipitation Index ◽  
Precipitation Index ◽  
Drought Indices ◽  
Theoretical Understanding ◽  
The Relationship

scholarly journals Hydrological response to different time scales of climatological drought: an evaluation of the Standardized Precipitation Index in a mountainous Mediterranean basin

2005 ◽  
Vol 9 (5) ◽  
pp. 523-533 ◽  
Author(s):  
S. M. Vicente-Serrano ◽  
J. I. López-Moreno
Keyword(s):  
Time Scales ◽  
Hydrological Cycle ◽  
Standardized Precipitation Index ◽  
Precipitation Index ◽  
Drought Indices ◽  
Long Time ◽  
The Standardized Precipitation Index ◽  
Hydrological Droughts ◽  
Different Time Scales

Abstract. At present, the Standardized Precipitation Index (SPI) is the most widely used drought index to provide good estimations about the intensity, magnitude and spatial extent of droughts. The main advantage of the SPI in comparison with other indices is the fact that the SPI enables both determination of drought conditions at different time scales and monitoring of different drought types. It is widely accepted that SPI time scales affect different sub-systems in the hydrological cycle due to the fact that the response of the different water usable sources to precipitation shortages can be very different. The long time scales of SPI are related to hydrological droughts (river flows and reservoir storages). Nevertheless, few analyses empirically verify these statements or the usefulness of the SPI time scales to monitor drought. In this paper, the SPI at different time scales is compared with surface hydrological variables in a big closed basin located in the central Spanish Pyrenees. We provide evidence about the way in which the longer (>12 months) SPI time scales may not be useful for drought quantification in this area. In general, the surface flows respond to short SPI time scales whereas the reservoir storages respond to longer time scales (7–10 months). Nevertheless, important seasonal differences can be identified in the SPI-usable water sources relationships. This suggests that it is necessary to test the drought indices and time scales in relation to their usefulness for monitoring different drought types under different environmental conditions and water demand situations.

scholarly journals Análisis comparativo de índices de sequía en Andalucía para el periodo 1901-2012

2016 ◽  
Vol 42 (1) ◽  
pp. 67 ◽  
Author(s):  
M. Peña-Gallardo ◽  
S. R. Gámiz-Fortís ◽  
Y. Castro-Diez ◽  
M. J. Esteban-Parra
Keyword(s):  
Time Windows ◽  
Initial Period ◽  
Climatic Variability ◽  
Standardized Precipitation Index ◽  
Meteorological Drought ◽  
Precipitation Index ◽  
Drought Indices ◽  
Global Evaluation ◽  
Temporal Behaviour ◽  
The Standardized Precipitation Index

The aim of this paper is the analysis of the detection and evolution of droughts occurred in Andalusia for the period 1901-2012, by applying three different drought indices: the Standardized Precipitation Index (SPI), the Standardized Precipitation and Evapotranspiration Index (SPEI) and the Standardized Drought-Precipitation Index (IESP), computed for three time windows from the initial period 1901-2012. This analysis has been carried out after a preliminary study of precipitation trends with the intention of understanding the precipitation behaviour, because this climatic variable is one of the most important in the study of extreme events. The specific objectives of this study are: (1) to investigate and characterize the meteorological drought events, mainly the most important episodes in Andalusia; (2) to provide a global evaluation of the capacities of the three different considered indices in order to characterize the drought in a heterogeneous climatically territory; and (3) to describe the temporal behaviour of precipitation and drought indices series in order to establish the general characteristics of their evolution in Andalusia. The results have shown that not all the indices respond similarly identifying the intensity and duration of dry periods in this kind of region where geographical and climatic variability is one of the main elements to be considered.

scholarly journals Long-Term, Gridded Standardized Precipitation Index for Hawai‘i

Data ◽  
2020 ◽  
Vol 5 (4) ◽  
pp. 109
Author(s):  
Matthew P. Lucas ◽  
Clay Trauernicht ◽  
Abby G. Frazier ◽  
Tomoaki Miura
Keyword(s):  
High Spatial Resolution ◽  
Standardized Precipitation Index ◽  
Precipitation Index ◽  
Drought Indices ◽  
Drought Severity ◽  
Spatially Explicit ◽  
Historical Period ◽  
The Standardized Precipitation Index ◽  
Climatic Information

Spatially explicit, wall-to-wall rainfall data provide foundational climatic information but alone are inadequate for characterizing meteorological, hydrological, agricultural, or ecological drought. The Standardized Precipitation Index (SPI) is one of the most widely used indicators of drought and defines localized conditions of both drought and excess rainfall based on period-specific (e.g., 1-month, 6-month, 12-month) accumulated precipitation relative to multi-year averages. A 93-year (1920–2012), high-resolution (250 m) gridded dataset of monthly rainfall available for the State of Hawai‘i was used to derive gridded, monthly SPI values for 1-, 3-, 6-, 9-, 12-, 24-, 36-, 48-, and 60-month intervals. Gridded SPI data were validated against independent, station-based calculations of SPI provided by the National Weather Service. The gridded SPI product was also compared with the U.S. Drought Monitor during the overlapping period. This SPI product provides several advantages over currently available drought indices for Hawai‘i in that it has statewide coverage over a long historical period at high spatial resolution to capture fine-scale climatic gradients and monitor changes in local drought severity.

scholarly journals Assessment of spatiotemporal characteristics of agro-meteorological drought events based on comparing Standardized Soil Moisture Index, Standardized Precipitation Index and Multivariate Standardized Drought Index

2020 ◽  
Vol 11 (S1) ◽  
pp. 1-17 ◽  
Author(s):  
Muhammad Imran Khan ◽  
Xingye Zhu ◽  
Muhammad Arshad ◽  
Muhammad Zaman ◽  
Yasir Niaz ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Drought Index ◽  
Standardized Precipitation Index ◽  
Precipitation Index ◽  
Drought Indices ◽  
Moisture Index ◽  
Drought Characteristics ◽  
Soil Moisture Index ◽  
The Impact ◽  
Standardized Drought Index

Abstract Drought indices that compute drought events by their statistical properties are essential stratagems for the estimation of the impact of drought events on a region. This research presents a quantitative investigation of drought events by analyzing drought characteristics, considering agro-meteorological aspects in the Heilongjiang Province of China during 1980 to 2015. To examine these aspects, the Standardized Soil Moisture Index (SSI), Standardized Precipitation Index (SPI), and Multivariate Standardized Drought Index (MSDI) were used to evaluate the drought characteristics. The results showed that almost half of the extreme and exceptional drought events occurred during 1990–92 and 2004–05. The spatiotemporal analysis of drought characteristics assisted in the estimation of the annual drought frequency (ADF, 1.20–2.70), long-term mean drought duration (MDD, 5–11 months), mean drought severity (MDS, −0.9 to −2.9), and mild conditions of mean drought intensity (MDI, −0.2 to −0.80) over the study area. The results obtained by MSDI reveal the drought onset and termination based on the combination of SPI and SSI, with onset being dominated by SPI and drought persistence being more similar to SSI behavior. The results of this study provide valuable information and can prove to be a reference framework to guide agricultural production in the region.

scholarly journals The application of Standardized Precipitation Index (SPI) to monitor drought in surface and groundwaters

2018 ◽  
Vol 44 ◽  
pp. 00082
Author(s):  
Justyna Kubicz
Keyword(s):  
Standardized Precipitation Index ◽  
Meteorological Drought ◽  
Test Area ◽  
Precipitation Index ◽  
Drought Indices ◽  
Spi Index ◽  
Correct Determination ◽  
Water Courses ◽  
Current Water

The paper presents the initial studies with the aim to assess the possibility to apply of Standardized Precipitation Index SPI to monitor drought in surface and groundwaters. The fact that data about precipitation are highly available allows for precise monitoring of the periods of occurrence and intensification of meteorological drought by determining the standardized SPI index. The evaluation of current water deficits in surface water courses and groundwaters is very difficult due to the fact that the measurement network is relatively scarce. In order to apply SPI to monitor hydrological and hydrogeological drought, it is required to assess the significance and level of the correlation between drought indices in the test area and then to calculate the probability of correct determination of drought in surface and groundwaters with use of SPI.

scholarly journals Application of Standardized Precipitation Index to assess meteorological drought in Bangladesh

2016 ◽  
Vol 8 (1) ◽  
Author(s):  
Md. Anarul H. Mondol ◽  
Subash C. Das ◽  
Md. Nurul Islam
Keyword(s):  
Standardized Precipitation Index ◽  
Meteorological Drought ◽  
Precipitation Index ◽  
Drought Indices ◽  
Drought Assessment ◽  
Climatic Regions ◽  
Northern Regions ◽  
Central Regions ◽  
History Of ◽  
Meteorological Droughts

Bangladesh is one of the vulnerable countries of the world for natural disasters. Drought is one of the common and severe calamities in Bangladesh that causes immense suffering to people in various ways. The present research has been carried out to examine the frequency of meteorological droughts in Bangladesh using the long-term rainfall data of 30 meteorological observatories covering the period of 1948–2011. The study uses the highly effective Standardized Precipitation Index (SPI) for drought assessment in Bangladesh. By assessing the meteorological droughts and the history of meteorological droughts of Bangladesh, the spatial distributions of meteorological drought indices were also analysed. The spatial and temporal changes in meteorological drought and changes in different years based on different SPI month intervals were analysed. The results indicate that droughts were a normal and recurrent feature and it occurred more or less all over the country in virtually all climatic regions of the country. As meteorological drought depends on only rainfall received in an area, anomaly of rainfall is the main cause of drought. Bangladesh experienced drought in the years 1950, 1951, 1953, 1954, 1957, 1958, 1960, 1961, 1962, 1963, 1965, 1966, 1967 and 1971 before independence and after independence Bangladesh has experienced droughts in the years 1972, 1973, 1975, 1979, 1980, 1983, 1985, 1992, 1994, 1995, 2002, 2004, 2006, 2009 and 2011 during the period 1948–2011. The study indicated that Rajshahi and its surroundings, in the northern regions and Jessore and its surroundings areas, the island Bhola and surrounding regions, in the south-west region, were vulnerable. In the Sylhet division, except Srimongal, the areas were not vulnerable but the eastern southern sides of the districts Chittagong, Rangamati, Khagrachhari, Bandarban and Teknaf were vulnerable. In the central regions, the districts of Mymensingh and Faridpur were more vulnerable than other districts.

scholarly journals Forecasting standardized precipitation index using data intelligence models: regional investigation of Bangladesh

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zaher Mundher Yaseen ◽  
Mumtaz Ali ◽  
Ahmad Sharafati ◽  
Nadhir Al-Ansari ◽  
Shamsuddin Shahid
Keyword(s):  
Mean Square Error ◽  
Prediction Models ◽  
Standardized Precipitation Index ◽  
Absolute Error ◽  
Precipitation Index ◽  
Drought Indices ◽  
Mean Square ◽  
Noticeable Increase ◽  
Drought Prediction ◽  
Correlation Statistics

AbstractA noticeable increase in drought frequency and severity has been observed across the globe due to climate change, which attracted scientists in development of drought prediction models for mitigation of impacts. Droughts are usually monitored using drought indices (DIs), most of which are probabilistic and therefore, highly stochastic and non-linear. The current research investigated the capability of different versions of relatively well-explored machine learning (ML) models including random forest (RF), minimum probability machine regression (MPMR), M5 Tree (M5tree), extreme learning machine (ELM) and online sequential-ELM (OSELM) in predicting the most widely used DI known as standardized precipitation index (SPI) at multiple month horizons (i.e., 1, 3, 6 and 12). Models were developed using monthly rainfall data for the period of 1949–2013 at four meteorological stations namely, Barisal, Bogra, Faridpur and Mymensingh, each representing a geographical region of Bangladesh which frequently experiences droughts. The model inputs were decided based on correlation statistics and the prediction capability was evaluated using several statistical metrics including mean square error (MSE), root mean square error (RMSE), mean absolute error (MAE), correlation coefficient (R), Willmott’s Index of agreement (WI), Nash Sutcliffe efficiency (NSE), and Legates and McCabe Index (LM). The results revealed that the proposed models are reliable and robust in predicting droughts in the region. Comparison of the models revealed ELM as the best model in forecasting droughts with minimal RMSE in the range of 0.07–0.85, 0.08–0.76, 0.062–0.80 and 0.042–0.605 for Barisal, Bogra, Faridpur and Mymensingh, respectively for all the SPI scales except one-month SPI for which the RF showed the best performance with minimal RMSE of 0.57, 0.45, 0.59 and 0.42, respectively.

scholarly journals Drought sensitivity characteristics and relationships between drought indices over Upper Blue Nile basin

2019 ◽  
Vol 43 (1) ◽  
pp. 64-75
Author(s):  
Abebe Kebede ◽  
Jaya Prakash Raju ◽  
Diriba Korecha ◽  
Samuel Takele ◽  
Melessew Nigussie
Keyword(s):  
Time Scales ◽  
Extreme Event ◽  
Standardized Precipitation Index ◽  
Meteorological Drought ◽  
Drought Indices ◽  
Environmental Damage ◽  
Blue Nile ◽  
Blue Nile Basin ◽  
Weather Stations ◽  
The Relationship

AbstractDrought is an extreme event that causes great economic and environmental damage. The main objective of this study is to evaluate sensitivity, characterization and propagation of drought in the Upper Blue Nile. Drought indices: standardized precipitation index (SPI) and the recently developed standardized reconnaissance drought index (RDIst) are applied for five weather stations from 1980 to 2015 to evaluate RDIst applicability in the Upper Blue Nile. From our analysis both SPI and RDIst applied for 3-, 6-, 12 month of time scales follow the same trend, but in some time steps the RDIst varies with smaller amplitude than SPI. The severity and longer duration of drought compared with others periods of meteorological drought is found in the years 1984, 2002, 2009, 2015 including five weather stations and entire Upper Blue Nile. For drought relationships the correlation analysis is made across the time scales to evaluate the relationship between meteorological drought (SPI), soil moisture drought (SMI), and hydrological drought (SRI). We found that the correlation between three indices (SPI, SMI and SRI) at different time scales the 24-month time scale is dominant and are given by 0.82, 0.63 and 0.56.

scholarly journals Hydrological response to different time scales of climatological drought: an evaluation of the standardized precipitation index in a mountainous mediterranean basin

2005 ◽  
Vol 2 (4) ◽  
pp. 1221-1246 ◽  
Author(s):  
S. M. Vicente-Serrano ◽  
J. I. López-Moreno
Keyword(s):  
Time Scales ◽  
Hydrological Cycle ◽  
Standardized Precipitation Index ◽  
Precipitation Index ◽  
Drought Indices ◽  
Long Time ◽  
The Standardized Precipitation Index ◽  
Hydrological Droughts ◽  
Different Time Scales

Abstract. At present, the Standardized Precipitation Index (SPI) is the most widely used drought index to provide good estimations about the intensity, magnitude and spatial extent of droughts. The main advantage of the SPI in comparison with other indices is the fact that the SPI enables both determination of drought conditions at different time scales and monitoring of different drought types. It is widely accepted that SPI time scales affect different sub-systems in the hydrological cycle due to the fact that the response of the different water usable sources to precipitation shortages can be very different. The long time scales of SPI are related to hydrological droughts (river flows and reservoir storages). Nevertheless, few analyses empirically verify these statements or the usefulness of the SPI time scales to monitor drought. In this paper, the SPI at different time scales is compared with surface hydrological variables in a big closed basin located in the central Spanish Pyrenees. We provide evidence about the way in which the higher (>12 months) SPI time scales may not be useful for drought quantification in this area. In general, the surface flows respond to short SPI time scales whereas the reservoir storages respond to higher time scales (7–10 months). Nevertheless, important seasonal differences can be identified in the SPI-usable water sources relationships. This suggests that it is necessary to test the drought indices and time scales in relation to their usefulness for monitoring different drought types under different environmental conditions and water demand situations.

scholarly journals INDEKS KEKERINGAN SPI (STANDARDIZED PRECIPITATION INDEX) DAN PENGARUHNYA TERHADAP PRODUKTIVITAS HORTIKULTURA TAHUNAN DI KABUPATEN JEMBER

2019 ◽  
Vol 2 (4) ◽  
pp. 149
Author(s):  
Arzaky Ardi Surya Nugroho ◽  
Cahyoadi Bowo ◽  
Joko Sudibya
Keyword(s):  
Standardized Precipitation Index ◽  
Correlation Method ◽  
Precipitation Index ◽  
World Meteorological Organization ◽  
Rainfall Data ◽  
Climate Fluctuations ◽  
Productivity Data ◽  
The Standardized Precipitation Index ◽  
The Impact ◽  
The Relationship

ABSTRACT Perennial tropical horticulture is a superior product whose productivity is affected by water availability. The impact of climate fluctuations due to global warming affects the availability of ground water. This study aims to determine the effect of the Standardized Precipitation Index (SPI) drought index derived from rainfall data on the productivity of perennial horticulture (durian, avocado and rambutan). The study was conducted from July 2016 - November 2018 in 9 sub-districts in Jember Regency where has the highest production. Rainfall data is proceed into SPI data according to the guidelines of the WMO (World Meteorological Organization). Productivity data derived from production data divided by the number of plants. The results of 12 monthly SPI calculations compared with the perennial horticultural productivity data. To find out the relationship between productivity and SPI, the correlation method is used. The results showed that the appropriate SPI value for observing annual horticultural productivity was SPI 9 and 12 monthly. The value of SPI greatly influences the correlation of productivity of durian, avocado and rambutan. Keywords: SPI, productivity, annual horticulture. ABSTRAK Tanaman hortikultura tropis tahunan adalah produk unggulan yang produktivitasnya dipengaruhi oleh ketersediaan air. Dampak fluktuasi iklim akibat pemanasan global mempengaruhi ketersediaan air tanah. Penelitian ini bertujuan untuk mengetahui pengaruh index kekeringan SPI yang berasal dari data curah hujan terhadap produktivitas hotikultura tahunan (durian, alpukat dan rambutan). Penelitian dilakukan mulai bulan Juli 2016 – November 2018 pada 9 Kecamatan dengan produksi tertinggi di Kabupaten Jember. Data curah hujan diolah menjadi data SPI sesuai pedoman WMO (World Meteorological Organization) dan data produktivitas berasal dari data produksi dibagi jumlah tanaman kemudian hasil perhitungan SPI 12 bulanan dibandingkan dengan data produktifitas hortikultura t ahunan. Untuk mengetahui hubungan produktivitas dan SPI digunkan metode korelasi. Hasil penelitian menunjukkan nilai SPI yang sesuai untuk mengamati produktivitas hortikultura tahunan adalah SPI 9 dan 12 bulanan. Nilai SPI sangat berpengaruh terhadap korelasi produktivitas durian, alpukat dan rambutan. Nilai SPI yang semakin tinggi menaikkan produktivitas durian, tetapi menurunkan produktivitas alpukat dan rambutan. Kata Kunci : SPI, produktifitas, hortikuktura tahunan

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