Assessment of droughts in the Iberian Peninsula using the <scp>WASP</scp>‐Index

Andrade, Cristina; Belo-Pereira, Margarida

doi:10.1002/asl2.542

Cited by 20 publications

(23 citation statements)

References 27 publications

(44 reference statements)

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“…station data) both in terms of spatial as well as temporal extent, in this paper, we make use of four different global precipitation data sets: CRU, GPCC, DEL and EOBS. Previous studies have shown that the GPCC data set can be used as a reliable source to study the dryness/wetness variability at regional scale when compared with observations based on station data (Raziei et al ., , ; Andrade and Belo‐Pereira, ). To test the differences between the three data sets, we have computed the correlation coefficients between the monthly time series of SPI6 averaged over the Danube catchment area, based on the aforementioned four data sets.…”

Section: Resultsmentioning

confidence: 99%

Spatio‐temporal variability of dryness/wetness in the Danube River Basin

Ionita

Scholz

Chelcea

2015

Hydrological Processes

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The present study focuses on the analysis of dryness/wetness conditions in the Danube River catchment area from 1901 to 2013 based on reanalysis data. The spatio-temporal variability of dryness/wetness conditions is analyzed by means of the Standardized Precipitation Index (SPI) for an accumulation periods of 6 months. To characterize the spatial variability of SPI6 at monthly time scales, an empirical orthogonal function (EOF) analysis was applied. The leading mode of SPI variability captures in-phase variability of SPI over the entire catchment area of Danube River. The leading mode of dryness/wetness variability was found to be strongly related to the different phases of the Arctic Oscillation. The second and third modes of variability show a more regional character of the dryness/wetness variability over the Danube River catchment area. Based on a composite map analysis, between the time series corresponding to the first three leading modes of dryness/wetness variability and the geopotential height at 850 mb and precipitation totals, it is shown that dryness (wetness) conditions over the Danube catchment area are associated with an anticyclonic (cyclonic) circulation, transport of dry (humid) air towards the Danube catchment area and reduced (enhanced) number of rain days.

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Section: Resultsmentioning

confidence: 99%

Spatio‐temporal variability of dryness/wetness in the Danube River Basin

Ionita

Scholz

Chelcea

2015

Hydrological Processes

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“…Previous studies focusing on drought occurrence in the Iberian Peninsula (Gouveia et al, 2009Vicente-Serrano et al, 2014;Páscoa et al, 2017a) identified several severe or intense drought episodes, namely in 1981, 1995, 2000, 2002, 2005 showed that between 1961 and 2011, drought severity and the surface area affected by drought increased in the Iberian Peninsula. On the other hand, Ribeiro et al (2018) showed that there are anomalies in the production of cereal yields (wheat and barley) during the years 1992, 1995 and 2005, coinciding with the main drought events that affected the Iberian Peninsula (García-Herrera et al, 2007;Andrade and Belo-Pereira, 2015). Therefore, this type of study in mainland Portugal will be added value, as it will allow the identification of areas in which crops are more susceptible to drought events, allowing for better future planning.…”

Section: Study Areamentioning

confidence: 98%

Crops' exposure, sensitivity and adaptive capacity to drought occurrence

Alonso

Gouveia

Russo

et al. 2019

Nat. Hazards Earth Syst. Sci.

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Abstract. In the context of sustainable agricultural management, drought monitoring plays a crucial role in assessing the vulnerability of agriculture to drought occurrence. Drought events are very frequent in the Iberian Peninsula (and in Portugal in particular), and an increase in frequency of these extreme events are expected in a very near future. Therefore, the quantitative assessment of the natural-ecosystem vulnerability to drought is still very challenging, mainly due to the difficulties of having a common definition of vulnerability. Consequently, several methods have been proposed to assess agricultural vulnerability. In this work, a principal component analysis (PCA) was performed based on the components which characterize the exposure, sensitivity and adaptive capacity of the agricultural system to drought events with the aim of generating maps of vulnerability of agriculture to drought in Portugal. Several datasets were used to describe these components, namely drought indicators, vegetation indices and soil characterization variables. A comparison between the PCA-based method and a variance method using the same indicators was performed. Results show that both methods identify Minho and Alentejo as regions of low and extreme vulnerability, respectively. The results are very similar between the two methods, with small differences in certain vulnerability classes. However, the PCA method has some advantages over the variance method, namely the ability to identify the sign of the indicators, not having to use the indicator–component subjective relationship, and not needing to calculate weights. Furthermore, the PCA method is fully statistical and presents results according to prior knowledge of the region and the data used.

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“…Vicente-Serrano et al (2014b showed that between 1961 and 2011, drought severity and the surface area affected by drought increased in the Iberian Peninsula. On the other hand, Ribeiro et al (2018) showed that there are anomalies in the production of cereal yields (wheat and barley) during the years 1992, 1995 and 2005, coinciding with the main drought events that affected the Iberian Peninsula (García-Herrera et al, 2007;Andrade and Belo-Pereira, 2015). Therefore, this type of study in mainland Portugal will be an added value as it will allow the identification of areas in which crops are more susceptible to drought events, allowing for better future planning.…”

Section: Study Areamentioning

confidence: 98%

Crops' sensitivity and adaptive capacity to drought occurrence

Alonso

Gouveia

Russo

et al. 2019

Preprint

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Abstract. In the context of sustainable agricultural management, drought monitoring plays a crucial role assessing the vulnerability of agriculture to drought occurrence. Drought events are very frequent in the Iberian Peninsula (and in Portugal in particular) and an increase of frequency of these extreme events are expected in a very near future. Therefore, the quantitative assessment of the natural ecosystems vulnerability to drought is still very challenging, mainly due to the difficulties of having a common definition of vulnerability. Consequently, several methods have been proposed to assess agricultural vulnerability. In this work, a principal component analysis (PCA) was performed based on the components which characterize the Exposure, Sensitivity and Adaptative Capacity of the agricultural system to drought events with the aim of generating maps of vulnerability of agriculture to drought in Portugal. Several datasets were used to describe these components, namely drought indicators, vegetation indexes and soil characterization variables. A comparison between the PCA-based method and a subjective non-automatic categorical method using the same indicators was performed. Results show that both methods identify Minho and Alentejo as regions of low and extreme vulnerability, respectively. The results are very similar between the two methods, with small differences on certain vulnerability class. However, the PCA method has some advantages over the categorical method, namely the ability to identify the sign of the indicators, not having to use the indicator-component subjective relationship, nor calculating weights. Furthermore, the PCA method is fully statistical and presents results according to a prior knowledge of the region and the data used.

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Assessment of droughts in the Iberian Peninsula using the WASP‐Index

Cited by 20 publications

References 27 publications

Spatio‐temporal variability of dryness/wetness in the Danube River Basin

Spatio‐temporal variability of dryness/wetness in the Danube River Basin

Crops' exposure, sensitivity and adaptive capacity to drought occurrence

Crops' sensitivity and adaptive capacity to drought occurrence

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