Presentación realizada para el: EMS Annual Meeting - European Conference for Applied Meteorology and Climatology 2018, celebrado en Budapest del 3 al 7 de septiembre de 2018

Amblar, María Pilar

Copons, R.

Cuadrat, José María

Cunillera, Jordi

Gascoin, S.

Llabrés, A.

López Moreno, Juan Ignacio

Pons, Marc

Prohom, Marc

Ramos Calzado, Petra

Rodríguez Camino, Ernesto

Saz-Sánchez, Miguel Ángel

Serrano Notivoli, Roberto

Soubeyroux, Jean-Michel

Tejedor, Ernesto

Trapero, Laura

Verfaillie, Deborah

English

Llabrés, Alba

Prohom Duran, Marc

Copons, Ramón

Gascoin, Simon

Saz Sánchez, Miguel Ángel

Agencia Estatal de Meteorología

A NEW DAILY QUALITY-CONTROLLED DATA BASE FOR THE PYRENEES (1950-2015)  EMS Annual Meeting: European Conference for Applied Meteorology and Climatology 2018 | 3–7 September 2018 | Budapest, Hungary    R Serrano-Notivoli (1), J Cunillera (2), A Llabrés (2), MJ Prohom (2), L Trapero (3), M Pons (3),            JM Cuadrat (1), R Copons (3), S Gascoin (4), JI López-Moreno (5), P Ramos (6), P Amblar-Francés (6), E Rodríguez-Camino (6), MA Saz (1), E Tejedor (1), JM Soubeyroux (7) and D Verfaillie (7)  (1) University of Zaragoza (2) Meteorological Service of Catalonia (3) Snow and Mountain Research Center of Andorra (4) Centre d’Etudes Spatiales de la Biosphère (5) Instituto Pirenaico de Ecología (6) Agencia Estatal de Meteorología (7) Météo-France 1. The CLIM’PY project  2. Data base description  3. Methodology: • Quality Control • Gap filling  4. Approach 1: period 1959-2015 (individual series) • Homogeneity analysis • Yearly and seasonal trends  5. Approach 2: period 1981-2015 (grid 1x1 km) • Climate indices trends 1 LAYOUT • CLIM’PY (Characterization of the evolution of climate and provision of information for adaptation in the Pyrenees) is a transboundary research project including several public administrations.       • The project has a 65% funding by the European Regional Development Fund (FEDER) through the Interreg Programme V-A Spain-France-Andorra (POCTEFA 2014-2020). The project lasts 3 years (2016-2019).  • CLIM'PY is a project under the Pyrenees Climate Change Observatory (OPCC) along with CANOPEE, REPLIM, FLORAPYR and PYRAGUA projects: https://www.opcc-ctp.org. 2 CLIM’PY PROJECT • MAIN OBJECTIVES:  • O1: Creation of a daily database of temperature (TX/TN), precipitation and snow-cover for the Pyrenees, encompassing the period 1950-2015.  • O2: Definition and calculation of climate indicators for monitoring climate change and variability.  • O3: Estimation of climate change projections for the Pyrenees based on the new IPCC AR5 scenarios (XXI century). 3 CLIM’PY PROJECT • Study area 4 DATA BASE • Data set (daily data):  1,343 sites (1950-2015) 1,328 rainfall series  1,163 temperature series (TX and TN) 5 DATA BASE Altitude (m) Number of stations0 - 10 4310 - 50 8450 - 100 116100 - 250 265250 - 500 271500 - 1000 3541000 - 2000 1722000 - 3000 38• Data set (daily data):  1,343 sites (1950-2015) 1,328 rainfall series  1,163 temperature series (TX and TN) 6 DATA BASE Series length (years) TEMPERATURE PRECIPITATIONMinimum 0.1 0.1Percentile 0.25 9.7 7.7Median 20.9 20.0Percentile 0.75 38.6 40.5Maximum 66.0 66.0• Outline 7 METHODOLOGY: QC, GAP FILLING, GRID GENERATION INITIAL DAILY DATA SET QUALITY CONTROL RECONSTRUCTIONOF MISSING DATA COHERENCE FLAT LINE JUMPS OUTLIERS SUSPECT DATA SUSPECT ZERO OUTLIERS SUSPECT DRY SUSPECT WET Precipitation Temperature CREATION OF GRIDDED DATA BASE (1 km x 1 km) HOMOGENEITY ANALYSIS OF SELECTED LONG SERIES DAILY EXTREME INDICES WMO-ETCCDI MONTHLY, SEASONAL AND ANNUAL TREND ANALYSIS 1950 - 2015 1981 - 2015 1959 - 2015 (Serrano et al. 2017) (Serrano et al. 2017) (Rclimdex extra QC) • Results of the CQ 8 QUALITY CONTROL 1950-2015 Precipitation Initial dataDetected doutful daily dataSUSPECT DATASUSPECT ZEROOUTLIERSSUSPECT DRYSUSPECT WETNº of days 2184325 137230 91592 44590 134 660 254Percentage 6.28% 4.19% 2.04% 0.01% 0.03% 0.01%Initial dataDetected doutful daily dataCOHERENCE FLATLINE JUMPS OUTLIERSNº of days 6739767 14720 6293 8299 128 0Percentage 0.22% 0.09% 0.12% 0% 0%Nº of days 6694142 24466 6293 18151 22 0Percentage 0.37% 0.09% 0.27% 0% 0%Maximumdaily TemperatureMinimumdaily Temperature9 1950-2015 period: monthly homogenization analysis Nº of series Tx Tn PPT Altitude < 500 m 27 27 53 Altitude 500-1500 m 30 30 62 Altitude > 1500 m 4 4 4 Total 61 61 119 • Selected series - Good temporal coverage - <10% missing values • Methodology: HOMER procedure for detection and correction of inhomogeneities (IH) in monthly and yearly climate series (Mestre et al. 2013). Is an interactive semi-automatic method based on pairwise comparison technique.  10 HOMOGENIZATION, 1950-2015 Example of HOMER output for detection of IH Original vs homogenized TX series in Le Mas d’Azil TRENDS: 1959-2015 11 +0.24 ºC/dec. Mean annual temperature (1959-2015) - Pyrenees Temeperature anomaly (1961-1990) • Temperature Trends: summary 12 TRENDS 1959-2015 Period 1959-2015 Annual (a) Mean value (°C/decade) (b) Extreme values (°C/decade) (c) Nº of series with p-value < 0.05 TX +0.30 +0.26 ,  +0.37 49  (100%) TN +0.18 +0.11 ,  +0.23 49  (100%) TM +0.24 +0.21 ,  +0.28 49  (100%) Winter (DJF) Spring (MAM) Summer (JJA) Autumn (SON) (a) (b) (c) (a) (b) (c) (a) (b) (c) (a) (b) (c) TX +0.17 +0.03, +0.27 14 (29%) +0.39 +0.30, +0.46 49 (100%) +0.40 +0.30, +0.56 49 (100%) +0.23 +0.13, +0.33 35 (71%) TN +0.02 -0.06, +0.12 0    (0%) +0.21 +0.06, +0.28 48 (98%) +0.31 +0.22, +0.38 49 (100%) +0.15 +0.02, +0.23 29 (59%) TM +0.10 +0.02, +0.18 1    (2%) +0.30 +0.20, +0.37 49 (100%) +0.36 +0.27, +0.41 49 (100%) +0.19 +0.12, +0.27 39 (80%) • Mean Temperature: annual (ºC/decade) 13 TRENDS 1959-2015 CLIM’PY:  Indicadores climáticos para los Pirineos -2.0 %/dec. 14 Mean annual precipitation (1959-2015) - Pyrenees Precipitation  anomaly (1961-1990) • Precipitation Trends: summary 15 TRENDS 1959-2015 Period 1959-2015 Annual (a) Mean value (%/decade) (b) Extreme values (%/decade) (c) Nº of series with p-value < 0.05 Precipitation -2.0 -7.1 ,  +1.2 24  (24%) Winter (DJF) Spring (MAM) Summer (JJA) Autumn (SON) (a) (b) (c) (a) (b) (c) (a) (b) (c) (a) (b) (c) -3.2 -12.8, +3.1 9 (9%) -0.1 -4.9, +6.6 0 (0%) -1.8 -9.0, +2.9 4 (4%) -2.5 -8.5, +4.0 0 (0%) • Precipitation: annual (%/decade) 16 TRENDS 1959-2015 • Precipitation: winter (%/decade) 17 TRENDS 1959-2015 • Main objective: analyse spatial and temporal patterns of extreme precipitation and temperature indices (ETCCDI/CRD), regional differences, trends in water availability... 18 1 x 1 km GRID. 1981-2015 Mean annual TX (1981-2015) • R20mm trend: Annual count of days when PPT≥ 20mm 19 1 x 1 km GRID. 1981-2015 Trend (change/decade) • SDII: Simple precipitation intensity index (yearly PPT amount / n. rainfall days) 20 1 x 1 km GRID. 1981-2015 Trend (change/decade) • CLIM’PY provides the first daily, quality controlled and homogeneous climate database for the whole Pyrenees, encompassing a period of more than 60 years.  • Monthly, seasonal and yearly aggregates of the daily data is provided for a long-term climate change monitoring (1959-2015). The Pyrenees shows a unequivocal warming trend: +0.24ºC/decade for mean temperature, more effective on TX and in summer. • Precipitation trends show a clear dipole reporting drier conditions over the southernmost slope.    • A new 1x1 km grid (1981-2015) provides useful information on extreme climate indices behaviour, detecting a great variability within the mountainous chain.  • Follow as at researchgate or OPCC (https://www.opcc-ctp.org) 21 Highlights View publication stats

New daily quality-controlled data base for the Pyrenees (1950-2015)

https://repositorio.aemet.es/bitstream/20.500.11765/11796/1/20180907-EMS2018-CLIMPY.pdf

New daily quality-controlled data base for the Pyrenees (1950-2015)

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