INDECIS-ERA4CS; Integrated Approach for the development across Europe of user oriented climate indicators for GFCS high priority sectors: agriculture, disaster risk reduction, energy, health, water and tourismProject Mission:INDECIS constitutes a pan-European effort focused on the development and production of climate indices, specifically targeting the priority sectors of the GFCS plus tourism and their conversion into climate services by engaging stakeholders in their definition and communication.The main objective of the project is to develop historical high quality and dense climate networks across Europe based on long-perspective time series of different stations-based meteorological variables from which accurate and robust climate indices can be calculated to create user-oriented climate products and services.In pursuing this main objective INDECIS secondary objectives are: - Improve the spatial and temporal availability of climate data, especially at the daily scale and in connection with the European Climate Assessment and Dataset (ECA&D). - Create a quality controlled and homogenized version of the improved ECA&D dataset.- Define and compute a set of sectorial-relevant climate indices and compared them to sectorial information.- Study the temporal evolution of those indices and their relation to atmospheric circulation patterns.- Compare station-based and gridded data based sets of indices. - Engage users, define and communicate climate products and services based on the indices previously defined.Work Package 2: Data rescue MissionsA total of 610K climate station-based observations were rescued over European regions for the main climate variables (maximum and minimum temperature (TX/TN), rainfall (RR), sunshine duration (SS) and snow depth SD) along the 20th century at daily scale. To make it possible, an extensive examination of the ECA&D dataset was conducted to find spatial-temporal data gaps or stations with low percentage of daily data as prior candidates for data recovery in European regions. Digitizing was carried out by using a rigorous "key as you see" method, meaning that the digitizers type the values provided by data images, rather than using any coding system. Digitizers carefully cross-checked the typed values against original sources for the 10th, 20th and 30th day of each month to make sure that no days were skipped or repeated during the digitizing process. Monthly totals and statistical summaries were computed from transcribed data and were compared with monthly totals and summaries provided by data sources to check accuracy as preliminary quality control. Rescued Data and Metadata: - Czech and Slovak Republic: 16 stations (TX/TN/RR/SD) for the period 1917-1968.- Balkans region: 9 stations (TX/TN/RR/SS/SD) for the period 1920-2012.- Sardinia: 1 station (RR) for the period 1901-1976. - Ireland: 4 stations (Essential Climate Variables) for the period 1873-1959.
Rovira i Virgili University (URV)
Joanot Martorell 15
Digitisation is done by using a strict "key as you see" method, meaning that the digitiser types the values that were provided in the data images, rather than using any coding system. This follows standard best practise outlined by the WMO (2016).