Enric Aguilar

Universidad Rovira i Virgili

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Manola Brunet

Universidad Rovira i Virgili

Javier Sigró

Universidad Rovira i Virgili

Péter Domonkos

Hospital de Tortosa Virgen de la Cinta

Alba Gilabert

Hospital Universitario Virgen de las Nieves

Joan Ramon Coll

Universidad Rovira i Virgili

Linden Ashcroft

University of Melbourne

Per Undén

Swedish Meteorological and Hydrological Institute

Mercè Castellà

Universidad Rovira i Virgili

Ian Harris

University of East Anglia

P. D. Jones

The University of Texas MD Anderson Cancer Center

Cooperative Institutions

Universidad Rovira i Virgili

Met Office

Consejo Superior de Investigaciones Científicas

Agencia Estatal de Meteorología

National Oceanic and Atmospheric Administration

NOAA National Centers for Environmental Information

Centre National de la Recherche Scientifique

Instituto Pirenaico de Ecología

Environment and Climate Change Canada

University of Reading

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Aproximació demogràfica d'Alcover*

Butlletí del Centre d'Estudis Alcoverencs (1994)

Enric Aguilar Jordi Càceres

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A Differential Response of Northeastern Spain to Asymmetric Trends in Diurnal Warming Detected on a Global Scale

Springer eBooks (2001)

Manola Brunet Enric Aguilar Òscar Saladié Javier Sigró D. López

Diurnal temperature variation

Maximum temperature

10.1007/978-3-662-04313-4_9

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Citations (10)

Temporal and spatial temperature variability and change over Spain during 1850–2005

Journal of Geophysical Research Atmospheres (2007)

Manola Brunet P. D. Jones Javier Sigró Òscar Saladié Enric Aguilar

We analyze temporal and spatial patterns of temperature change over Spain during the period 1850–2005, using daily maximum ( T max ), minimum ( T min ), and mean ( T mean ) temperatures from the 22 longest and most reliable Spanish records. Over mainland Spain, a significant (at 0.01 level) warming of 0.10°C/decade is found for the annual average of T mean . Autumn and winter contributed slightly more than spring and summer to the annual warming over the 1850–2005 period. The overall warming is also associated with higher rates of change for T max than T min (0.11° versus 0.08°C/decade for 1850–2005). This asymmetric diurnal warming increased in the twentieth century (0.17° versus 0.09°C/decade during 1901–2005). Nevertheless, at many (few) individual stations, the difference between T max and T min is not statistically significant over 1850–2005 (1901–2005). Principal Component Analysis has been carried out to identify spatial modes of Spanish long‐term temperature variability (1901–2005). Three principal spatial patterns are found, Northern Spain, Southeastern and Eastern Spain, and Southwestern Spain. All three patterns show similar significant warming trends. The overall warming has been more associated with reductions in cold extremes, as opposed to increases in warm extremes. Estimated trends in the number of moderately extreme cold days ( T max < 10th percentile) and moderately extreme cold nights ( T min < 10th percentile) show significant reductions of 0.74 and 0.54 days/decade, respectively, over 1850–2005. Moderately extreme warm days and nights ( T max and T min > 90th percentile) increased significantly but at lower rates of 0.53 and 0.49 days/decade.

Extreme Cold

Mean radiant temperature

10.1029/2006jd008249

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Data quality control and homogenization of daily precipitation and air temperature (mean, max and min) time series of Ukraine

International Journal of Climatology (2023)

Oleg Skrynyk Vladyslav Sidenko Enric Aguilar José Antonio Guijarro Olesya Skrynyk

Abstract In this paper we present the results of quality control and homogenization procedures applied to long time series of daily atmospheric precipitation sums (Rr) and daily mean (Tm), maximum (Tx) and minimum (Tn) air temperature collected in Ukraine. The daily data from 178 meteorological stations covering the period of 1946–2020 were analysed. In order to perform a thorough quality assurance check, we used the R package INQC, while the Climatol homogenization software was used to detect and remove breaks from the time series. The INQC quality assurance tests revealed a relatively small number of erroneous records (around 0.01% for each variable) and suspicious values (up to 0.09%). The application of Climatol resulted in 195, 296, 355 and 359 break points, detected for Rr, Tm, Tx and Tn, respectively. These quantities coincide roughly with the results of the HOMER homogenization procedure applied to monthly time series for the same stations and almost the same period (performed in the previous works of the authors). To verify the homogenization results, statistical comparison of the raw and homogenized time series was performed. The verification demonstrated that the quality control and homogenization procedures detected and removed errors and breaks very well, and air temperature and precipitation fields after the homogenization are more self‐consistent compared to the original raw data.

Homogenization

10.1002/joc.8080

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A rescued dataset of sub-daily meteorological observations for Europe and the southern Mediterranean region, 1877–2012

Earth system science data (2018)

Linden Ashcroft Joan Ramon Coll Alba Gilabert Péter Domonkos Manola Brunet

Abstract. Sub-daily meteorological observations are needed for input to and assessment of high-resolution reanalysis products to improve understanding of weather and climate variability. While there are millions of such weather observations that have been collected by various organisations, many are yet to be transcribed into a useable format.Under the auspices of the Uncertainties in Ensembles of Regional ReAnalyses (UERRA) project, we describe the compilation and development of a digital dataset of 8.8 million meteorological observations of essential climate variables (ECVs) rescued across the European and southern Mediterranean region. By presenting the entire chain of data preparation, from the identification of regions lacking in digitised sub-daily data and the location of original sources, through the digitisation of the observations to the quality control procedures applied, we provide a rescued dataset that is as traceable as possible for use by the research community.Data from 127 stations and of 15 climate variables in the northern African and European sectors have been prepared for the period 1877 to 2012. Quality control of the data using a two-step semi-automatic statistical approach identified 3.5 % of observations that required correction or removal, on par with previous data rescue efforts.In addition to providing a new sub-daily meteorological dataset for the research community, our experience in the development of this sub-daily dataset gives us an opportunity to share some suggestions for future data rescue projects.All versions of the dataset, from the raw digitised data to data that have been quality controlled and converted to standard units, are available on PANGAEA: https://doi.org/10.1594/PANGAEA.886511 (Ashcroft et al., 2018).

Identification

10.5194/essd-10-1613-2018

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Citations (50)

Issue Information

International Journal of Climatology (2020)

Johnny C. L. Chan Humberto González‐Díaz Yi Ding B Goswani R. H. Kripalani

10.1002/joc.6146

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Changes in daily climate extremes in the eastern and central Tibetan Plateau during 1961–2005

Journal of Geophysical Research Atmospheres (2008)

Qinglong You Shichang Kang Enric Aguilar Yuping Yan

Changes in indices of climate extremes are analyzed on the basis of daily maximum and minimum surface air temperature and precipitation at 71 meteorological stations with elevation above 2000 m above sea level in the eastern and central Tibetan Plateau (TP) during 1961–2005. Twelve indices of extreme temperature and nine indices of extreme precipitation are examined. Temperature extremes show patterns consistent with warming during the studied period, with a large proportion of stations showing statistically significant trends for all temperature indices. Stations in the northwestern, southwestern, and southeastern TP have larger trend magnitudes. The regional occurrence of extreme cold days and nights has decreased by −0.85 and −2.38 d/decade, respectively. Over the same period, the occurrence of extreme warm days and nights has increased by 1.26 and 2.54 d/decade, respectively. The number of frost days and ice days shows statistically significant decreasing at the rate of −4.32 and −2.46 d/decade, respectively. The length of growing season has statistically increased by 4.25 d/decade. The diurnal temperature range exhibits a statistically decreasing trend at a rate of −0.20°C per decade. The extreme temperature indices also show statistically significant increasing trends, with larger values for the index describing variations in the lowest minimum temperature. In general, warming trends in minimum temperature indices are of greater magnitude than those for maximum temperature. Most precipitation indices exhibit increasing trends in the southern and northern TP and show decreasing trends in the central TP. On average, regional annual total precipitation, heavy precipitation days, maximum 1‐day precipitation, average wet days precipitation, and total precipitation on extreme wet days show nonsignificant increases. Decreasing trends are found for maximum 5‐day precipitation, consecutive wet days, and consecutive dry days, but only the last is statistically significant.

Frost (temperature)

Diurnal temperature variation

Extreme Cold

Maximum temperature

10.1029/2007jd009389

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Citations (330)

EL DESARROLLO DE DATOS DE CALIDAD Y EL CAMBIO TÉRMICO OBSERVADO EN ESPAÑA

DOAJ (DOAJ: Directory of Open Access Journals) (2009)

Javier Sigró Manola Brunet Enric Aguilar

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Uncertainty of heat wave metric calculations

Oleg Skrynyk Enric Aguilar Caterina Cimolai

Climate/weather extremes such as heat waves (HWs) are of the great interest to study as they have the significant harmful effect on the environment and society. There are many researches dealing with the calculation of HW metrics and their long-term trends on both the global and regional/national spatial scale. In our work based on a case study of Ukraine, we aimed to quantify the uncertainty of HW metric calculations, which might originate from climate input data. To this end, we used a mini statistical ensemble of several gridded data sets of maximum daily air temperature (TX), covering the territory of Ukraine for the period of 1950-2020 (70 years) with the same spatial resolution. The ensemble included ERA5 reanalysis data (remapped by means of the CDO software to the finer grid of 0.1ox0.1o with different interpolation algorithms), ERA5-Land, E-OBS (the ensemble mean) and Ukrainian gridded observation data previously developed for the period of 1946-2020. We defined a HW as an event when conditions (TX in our case) above criteria (90-th percentile calculated based on the WMO standard 1961-1990 reference period) persist at least three consecutive days, with permission of a 1-day time gap. Four HW metrics were considered, namely heat wave number (HWN), duration (HWD), frequency (HWF) and amplitude (HWA). The calculation of yearly time series of the HW metrics was performed by means of the R package heatwaveR for each grid point of the domain and each member of the constructed statistical ensemble. The uncertainty of the HW metrics was defined as a difference between min and max metric’s values calculated for different members of the ensemble. We also calculated the range of the possible variations in long term trends of obtained yearly time series of the HW metrics. Our results showed that depending on climate data used for HW climatology analysis, the calculation results might differ significantly for a particular grid point and year. However, on average (over the whole domain and the period under study), variation of the HW metrics is not so pronounced. Moderate variations are also observed in long-term trends of the metric time series.   This work has received funding through the MSCA4Ukraine project, which is funded by the European Union

Heat wave

10.5194/egusphere-egu24-16497

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Vers l'imaginatiu a fons

Qüestions de vida cristiana (1991)

Enric Aguilar

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