Variability and trends in indices of quality-controlled daily temperature extremes in Uruguay
A database of daily extreme temperature was created for as many stations as possible for Uruguay, as far back as possible. This is the first attempt to gather all the different data sources together, perform a quality control and homogeneity assessment. We work with seven stations; it should be take...
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2008
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08998418_v28_n8_p1083_Rusticucci http://hdl.handle.net/20.500.12110/paper_08998418_v28_n8_p1083_Rusticucci |
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paper:paper_08998418_v28_n8_p1083_Rusticucci2023-06-08T15:49:39Z Variability and trends in indices of quality-controlled daily temperature extremes in Uruguay Rusticucci, Matilde Renom Molina, Madeleine Extreme temperature indices Temporal variability Trends Uruguay Customer satisfaction Problem solving Quality assurance Quality function deployment Total quality management Data sourcing Temperature extremes Uruguay Quality control air temperature data quality database extreme event quality control temporal variation trend analysis South America Uruguay A database of daily extreme temperature was created for as many stations as possible for Uruguay, as far back as possible. This is the first attempt to gather all the different data sources together, perform a quality control and homogeneity assessment. We work with seven stations; it should be taken into account that Uruguay is a small country (around 177 000 km2) and this represents most of the available data. There are three old series with starting dates in 1930, and four that start around 1950. From this database, a set of four extreme temperature indices was constructed for the oldest five stations, warm days (TX90), cold days (TX10), warm nights (TN90) and cold nights (TN10). The index TN10 shows the largest significant negative trend for the period 1960-2002, while TN90 shows a positive but not significant trend for this period indicating a strong warming of nighttime temperature. A spectral analysis was performed using the multi taper methods (MTM) to the de-trended annual, summer Dec-Feb (DJF) and winter Jun-Aug (JJA) indices time-series. This analysis shows that on inter-annual timescales, the most significant range of frequencies is from 2 to 2.5 years and from 3 to 6 years. Low frequencies of variability were detected when the MTM was applied to de-trended smoothed annual time-series, around the range of frequencies of 15-25 years for almost all the indices analysed. Links with global sea surface temperature (SST) were studied for two stations (Paysandu and Rocha), and it was found that the indices showed largest correlations with SST anomalies in the Pacific Ocean. We detected changes in the response of the TN10 index for Rocha station when the series was split up into two different periods (1942-1976 and 1977-2005). Copyright © 2007 Royal Meteorological Society. Fil:Rusticucci, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Renom, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2008 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08998418_v28_n8_p1083_Rusticucci http://hdl.handle.net/20.500.12110/paper_08998418_v28_n8_p1083_Rusticucci |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Extreme temperature indices Temporal variability Trends Uruguay Customer satisfaction Problem solving Quality assurance Quality function deployment Total quality management Data sourcing Temperature extremes Uruguay Quality control air temperature data quality database extreme event quality control temporal variation trend analysis South America Uruguay |
| spellingShingle |
Extreme temperature indices Temporal variability Trends Uruguay Customer satisfaction Problem solving Quality assurance Quality function deployment Total quality management Data sourcing Temperature extremes Uruguay Quality control air temperature data quality database extreme event quality control temporal variation trend analysis South America Uruguay Rusticucci, Matilde Renom Molina, Madeleine Variability and trends in indices of quality-controlled daily temperature extremes in Uruguay |
| topic_facet |
Extreme temperature indices Temporal variability Trends Uruguay Customer satisfaction Problem solving Quality assurance Quality function deployment Total quality management Data sourcing Temperature extremes Uruguay Quality control air temperature data quality database extreme event quality control temporal variation trend analysis South America Uruguay |
| description |
A database of daily extreme temperature was created for as many stations as possible for Uruguay, as far back as possible. This is the first attempt to gather all the different data sources together, perform a quality control and homogeneity assessment. We work with seven stations; it should be taken into account that Uruguay is a small country (around 177 000 km2) and this represents most of the available data. There are three old series with starting dates in 1930, and four that start around 1950. From this database, a set of four extreme temperature indices was constructed for the oldest five stations, warm days (TX90), cold days (TX10), warm nights (TN90) and cold nights (TN10). The index TN10 shows the largest significant negative trend for the period 1960-2002, while TN90 shows a positive but not significant trend for this period indicating a strong warming of nighttime temperature. A spectral analysis was performed using the multi taper methods (MTM) to the de-trended annual, summer Dec-Feb (DJF) and winter Jun-Aug (JJA) indices time-series. This analysis shows that on inter-annual timescales, the most significant range of frequencies is from 2 to 2.5 years and from 3 to 6 years. Low frequencies of variability were detected when the MTM was applied to de-trended smoothed annual time-series, around the range of frequencies of 15-25 years for almost all the indices analysed. Links with global sea surface temperature (SST) were studied for two stations (Paysandu and Rocha), and it was found that the indices showed largest correlations with SST anomalies in the Pacific Ocean. We detected changes in the response of the TN10 index for Rocha station when the series was split up into two different periods (1942-1976 and 1977-2005). Copyright © 2007 Royal Meteorological Society. |
| author |
Rusticucci, Matilde Renom Molina, Madeleine |
| author_facet |
Rusticucci, Matilde Renom Molina, Madeleine |
| author_sort |
Rusticucci, Matilde |
| title |
Variability and trends in indices of quality-controlled daily temperature extremes in Uruguay |
| title_short |
Variability and trends in indices of quality-controlled daily temperature extremes in Uruguay |
| title_full |
Variability and trends in indices of quality-controlled daily temperature extremes in Uruguay |
| title_fullStr |
Variability and trends in indices of quality-controlled daily temperature extremes in Uruguay |
| title_full_unstemmed |
Variability and trends in indices of quality-controlled daily temperature extremes in Uruguay |
| title_sort |
variability and trends in indices of quality-controlled daily temperature extremes in uruguay |
| publishDate |
2008 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_08998418_v28_n8_p1083_Rusticucci http://hdl.handle.net/20.500.12110/paper_08998418_v28_n8_p1083_Rusticucci |
| work_keys_str_mv |
AT rusticuccimatilde variabilityandtrendsinindicesofqualitycontrolleddailytemperatureextremesinuruguay AT renommolinamadeleine variabilityandtrendsinindicesofqualitycontrolleddailytemperatureextremesinuruguay |
| _version_ |
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