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 tourism
Climate, climate variability and change strongly impact Europe. Drought severely affects agriculture; precipitation extremes are associated with flooding, severe damage to properties and lives; temperature extremes can increase mortality; the seasonality and availability of snow affects water resources and winter tourism and wind speed or sunshine hours affect the production of renewable energy. These relations can be studied through the computation of climate indices, defined as tailored combinations of climate variables. To be useful, they need to be based on long and reliable climate datasets and be formulated to express relevant and comparable information. INDECIS will develop an integrated approach to produce a set of relevant climate indices targeting the high priority sectors of the World Meteorological Organization’s Global Framework for Climate Services (agriculture, disaster risk reduction, energy, health, water) plus tourism. To accomplish this, INDECIS will inventory and catalog existing datasets of precipitation, temperature, wind speed and sunshine duration, search new data holdings and develop new methods and tools to operationally assure their quality and homogeneity. In parallel, we will gather information on climate indicators routinely computed by the participating institutions and third parties across Europe and work to improve them in consultation with sectorial experts. It is also intended to use sectorial statistics and teleconnection indices to explore predictive relations and responses to climate variability and change. This will be accompanied by the development of tools for near-real time calculation, spatial interpolation, visualization and communication of climate monitoring. INDECIS will compare its products with those derived from reanalysis simulations to assess their validity as an alternate means to provide sectorial indices in the absence of observational datasets and with climate model output for validation and interpretation.
Data Rescue (DARE) Activities:
Work package 2 (WP2) "Identification and Catalog of Climate Data sets and Portal" will define metadata items for the targeted ECVs (initially, temperature, precipitation, wind, humidity and radiation) in compliance with the standards of the World Meteorological Organization Information System, WIS to catalog the existing datasets. The catalog shall include non-standard variables intended for specific usage in specific sectors. For example, an effort will be made to identify and collect wind data from tall towers and oil-drilling installations at sea. Another example is the combination of sunshine duration data in ECA&D with radiation data which will be sourced from NMHS, the BSRN (Baseline Surface Radiation Network) and WMO’s WRDC (World Radiation Data Center) to service the solar energy sector. The spatial and temporal coverage of the different variables will be assessed. WP2 will make an evaluation of critical gaps to prepare and conduct both Data Rescue (DARE) missions and visits to the relevant NMHSs to engage these institutes to collaborate more actively with ECA&D and INDECIS. This Work Package will put forward ECA&D as the core of the INDECIS Data, Indices and Services Portal (IDISP) integrating pre-existing approaches. IDISP will link with or provide open or restricted access to data, products and services, according to the permissions negotiated with dataset owners and the providers of each product and service, including a protocol for periodical updates. In WP2, the frequency of updating station data is aimed to increase from monthly to daily, making it possible to monitor developing climatic extremes as they unfold. WP2 will also deliver the raw version of the INDECIS dataset INDECIS-RDS, including the catalogued datasets and the rescued data.
Specific Data and Metadata to be rescued:
Czech and Slovak Republic: 19 stations (TX/TN/RR/SD) for the period 1917-1974 at daily scale.
Balkans region: 10 stations (TX/TN/RR/SD/SS) for the period 1949-1984 at daily scale.
Sardinia: 1 station (SS) for the period 1901-1976 at daily scale.
Sweden: Some stations for the period 1940-1960 at daily scale.
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).