The CLARIS LPB database: constructing a long‐term daily hydro‐meteorological dataset for La Plata Basin, Southern South America

Penalba, Olga Clorinda; Rivera, Juan Antonio; Pántano, Vanesa Cristina

doi:10.1002/gdj3.7

Cited by 30 publications

(13 citation statements)

References 37 publications

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“…The database for the study consists of 56 high-quality monthly precipitation time series that cover the period 1961-2008, obtained through the CLARIS LPB database (Penalba et al, 2014b). These stations are located in the portion of South America south of 20 • S, have less than 2 % of missing data and were subjected to quality control procedures, as described in Penalba et al (2014b).…”

Section: Precipitation Datamentioning

confidence: 99%

“…These stations are located in the portion of South America south of 20 • S, have less than 2 % of missing data and were subjected to quality control procedures, as described in Penalba et al (2014b). Additionally, a homogeneity control using the Standard Normal Homogeneity Test (Alexandersson, 1986) allowed to identify inhomogeneities in 4 of the 56 precipitation time series, which correspond to climatic jumps and not to instrumental factors.…”

Section: Precipitation Datamentioning

confidence: 99%

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Precipitation response to El Niño/La Niña events in Southern South America – emphasis in regional drought occurrences

Penalba

Rivera

2016

Adv. Geosci.

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Abstract. The ENSO phenomenon is one of the key factors that influence the interannual variability of precipitation over Southern South America. The aim of this study is to identify the regional response of precipitation to El Niño/La Niña events, with emphasis in drought conditions. The standardized precipitation index (SPI) was used to characterize precipitation variabilities through the 1961-2008 period for time scales of 3 (SPI3) and 12 (SPI12) months. A regionalization based on rotated principal component analysis allowed to identify seven coherent regions for each of the time scales considered. In order to identify the regional influence of El Niño and La Niña events on the SPI time series, we calculated the mean SPI values for the El Niño and La Niña years and assessed its significance through bootstrap analysis. We found coherent and significant SPI responses to ENSO phases in most of the seven regions considered, mainly for the SPI12 time series. The precipitation response to La Niña events is characterized with regional deficits, identified with negative values of the SPI during the end of La Niña year and the year after. During El Niño events the precipitation response is reversed and more intense/consistent than in the case of La Niña events. This signal has some regional differences regarding its magnitude and timing, and the quantification of these features, together with the assessment of the SST composites during drought conditions provided critical baseline information for the agricultural and water resources sectors.

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Section: Precipitation Datamentioning

confidence: 99%

Section: Precipitation Datamentioning

confidence: 99%

Precipitation response to El Niño/La Niña events in Southern South America – emphasis in regional drought occurrences

Penalba

Rivera

2016

Adv. Geosci.

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“…We used daily rain gauge data from the Norwegian Meteorological Institute's climate database, the European Climate Assessment and Dataset (ECA&D) [25], the Global Historical Climate Network (GHCN) [26,27] and daily station data from the CLARIS LPB dataset [28]. The combined data set included 9817 stations covering all continents and was used to test equation (1) by comparing the estimated probability to the observed frequency for the combination of individual year, site, and for five different thresholds (2 305 255 data points).…”

Section: Methods and Datamentioning

confidence: 99%

A simple equation to study changes in rainfall statistics

Benestad

Parding

Erlandsen

et al. 2019

Environ. Res. Lett.

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We test an equation for the probability of heavy 24 h precipitation amounts Pr(X>x) as a function of the wet-day frequency and the wet-day mean precipitation. The expression was evaluated against 9817 daily rain gauge records world-wide and was subsequently used to derive mathematical expressions for different rainfall statistics in terms of the wet-day frequency and the wet-day mean precipitation. This framework comprised expressions for probabilities, mean, variance, and return-values. We differentiated these statistics with respect to time and compared them to trends in number of rainy days and the mean rainfall intensity based on 1875 rain gauge records with more than 50 years of valid data over the period 1961-2018. The results indicate that there has been a general increase in the probability of precipitation exceeding 50 mm/day. The main cause for this increase has been a boost in the intensity of the rain, but there were also some cases where it has been due to more rainy days. In some limited regions there has also been an increase in Pr(X>50 mm/day) that coincided with a decrease in the number of rainy days. We also found a general increasing trend in the variance and the 10-year return-value over 1961-2018 due to increasing wet-day frequency and wet-day mean precipitation.

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“…The region of study corresponds to the east‐northeast of Argentina, where rain‐fed agricultural production is carried out. The data was obtained from the National Weather Service and the National Institute for Agricultural Technology and has undergone through consistency control analysis of CLARIS LPB database (Penalba et al ., ) in the framework of the European Community's CLARIS‐LPB project ‘A Europe‐South America Network for climate Change Assessment and Impact Studies in La Plata Basin’. This project derived from the previous CLARIS project (Boulanger et al ., ).…”

Section: Methodsmentioning

confidence: 99%

Assessing how accumulated precipitation and long dry sequences impact the soil water storage

Pántano

Penalba

Spescha

et al. 2017

Intl Journal of Climatology

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Precipitation or no precipitation persistent over time often became extreme weather conditions with greater regional economic impact. The temporal and spatial variability of these variables, together with the evapotranspiration, is crucial in the east‐northeast of Argentina, where rain‐fed agricultural production is carried out. In this work, the frequency of precipitation was studied from dry spells and complemented with an analysis of the accumulated precipitation and evapotranspiration. In particular, dry sequences longer than 15 days, return period and severity, were the focus of this study. Finally, the impact of the amount and frequency of precipitation on soil water storage was assessed through a decadal analysis. The region of study is characterized by northeast‐southwest gradient in accumulated precipitation and east–west gradient in winter long dry sequences. During summer, higher and more frequent precipitations (lower probability of long dry sequences and lower return period of 15 days and severity) were presented whereas the opposite was found in winter. However, the stations located to the west presented the highest probability of long dry sequences with higher severity and lower accumulated precipitation. This result highlights the vulnerability of the agriculture activity in the western stations. Regarding the impact of long dry sequences over soil water storage, the seasonality of evapotranspiration is also involved. The impact is stronger during austral summer because of higher values of evapotranspiration and it is lower during winter, in spite of the higher probability of long sequences. Decadal analysis suggested that soil water storage responds to precipitation amount or frequency depending on the magnitude of the anomalies. In this sense, the impact of precipitation over soil water storage depends on how it is distributed.

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The CLARIS LPB database: constructing a long‐term daily hydro‐meteorological dataset for La Plata Basin, Southern South America

Cited by 30 publications

References 37 publications

Precipitation response to El Niño/La Niña events in Southern South America – emphasis in regional drought occurrences

Precipitation response to El Niño/La Niña events in Southern South America – emphasis in regional drought occurrences

A simple equation to study changes in rainfall statistics

Assessing how accumulated precipitation and long dry sequences impact the soil water storage

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