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Model Output Statistics for JELENIA GORA (12500)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

Bioökonomie als gesellschaftlicher Wandel, NWG (3): Meat The Bioeconomy - Die Fleischindustrie als Teil der Bioökonomie: Internationalisierung, Arbeitsgeographien und hegemoniale Strategien

[EU SDG 06_60] Water exploitation index, plus (WEI+)

The WEI+ provides a measure of total water consumption as a percentage of the renewable freshwater resources available for a given territory and period. The WEI+ is an advanced geo-referenced version of the WEI. It quantifies how much water is abstracted monthly or seasonally and how much water is returned before or after use to the environment via river basins (e.g. leakages, discharges by economic sectors). The difference between water abstractions and water returns is regarded as ‘water consumption’.

Eurasian Modern Pollen Database (former European Modern Pollen Database)

The Eurasian Modern Pollen Database (EMPD) contains modern pollen data (raw counts) for the entire Eurasian continent. Derived from the European Modern Pollen Database, the dataset contains many more samples West of the Ural Mountains. We propose this dataset in three different format: 1/ an Excel spreadsheet, 2/ a PostgreSQL dump and 3/ a SQLite3 portable database format. All three datasets are strictly equivalent. For download see "Original Version".

LegacyVegetation: Asian reconstruction of past plant cover and total tree cover from pollen archives of the last 14 ka

This data set presents the reconstructed vegetation cover for 446 Asian sites based on harmonized pollen data from the data set LegacyPollen 2.0. Sugita's REVEALS model (2007) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by accounting for taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were calculated using the aforementioned taxon-specific parameters and a Gaussian plume model for deposition and dispersal. Values for relative pollen productivity and fall speed from the synthesis from Wiezcorek and Herzschuh (2010) were updated with recent studies used to reconstruct vegetation cover. The average values from all Northern Hemisphere values were used where taxon-specific continental values were unavailable. As REVEALS was conceived to reconstruct vegetation from large lakes, only records originating from large lakes (>= 50h) are marked as "valid as site" in the dataset. Reconstructions from other records can be used when spatially averaging several together. An example script to do so is provided on Zenodo (https://doi.org/10.5281/zenodo.12800290). Reconstructed tree cover was validated using modern Landsat remote sensing forest cover. Reconstructed tree cover has much lower errors than the original arboreal pollen percentages. Reconstructions of individual taxa are more uncertain. We present tables with reconstructed vegetation cover for all continents with original parameters. As further details, we list a table with the taxon-specific parameters used, metadata for all records, and a list of parameters adjusted in the default version of REVEALSinR.

REVEALS reconstruction of past vegetation cover with optimized RPP values for Asian samples

This data set presents the reconstructed vegetation cover for 706 Asian sites based on harmonized pollen data from the data set LegacyPollen 2.0 and optimized RPP values. Sugita's REVEALS model (2007) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by taking into account taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were also calculated using the aforementioned taxon-specific parameters and a gaussian plume model for deposition and dispersal and forest cover was reconstructed. In this optimized reconstruction, relative pollen productivity estimates for the ten most common taxa were first optimized by using reconstructed tree cover from modern pollen samples and LANDSAT remotely sensed tree cover (Sexton et al. 2013) for Asia. Values for non-optimized taxa for relative pollen productivity and fall speed were taken from the synthesis from Wiezcorek and Herzschuh (2020). The average values from all Northern Hemisphere values were used where taxon-specific continental values were not available. We present tables with optimized reconstructed vegetation cover for records in Asia. As further details we list a table with the taxon-specific parameters used and a list of parameters adjusted in the default version of REVEALSinR.

Global optimized REVEALS reconstruction of past vegetation cover for taxonomically harmonized pollen data sets

This data set presents the reconstructed vegetation cover for 3083 sites based on harmonized pollen data from the data set LegacyPollen 2.0 (https://doi.pangaea.de/10.1594/PANGAEA.965907) and optimized RPP values. 1115 sites are located in North America, 1435 in Europe, and 533 in Asia. Sugita's REVEALS model (2007) was applied to all pollen records using REVEALSinR from the DISQOVER package (Theuerkauf et al. 2016). Pollen counts were translated into vegetation cover by taking into account taxon-specific pollen productivity and fall speed. Additionally, relevant source areas of pollen were also calculated using the aforementioned taxon-specific parameters and a gaussian plume model for deposition and dispersal. In this optimized reconstruction, relative pollen productivity estimates for the ten most common taxa were first optimized by using reconstructed tree cover from modern pollen samples and LANDSAT remotely sensed tree cover (Townshend 2016) for North America, Europe, and Asia. Values for non-optimized taxa for relative pollen productivity and fall speed were taken from the synthesis from Wiezcorek and Herzschuh (2020). The average values from all Northern Hemisphere values were used where taxon-specific continental values were not available. We present tables with optimized reconstructed vegetation cover for all Europe, North America and Asia. As further details we list a table with the taxon-specific parameters used and a list of parameters adjusted in the default version of REVEALSinR.

Ready-to-use version of the Eurasian Modern Pollen Database version 2, with 90 pollen taxa and 7634 sites

Ready-to-use version of the Eurasian Modern Pollen Database version 2 (EMPD2; Davis et al., 2020; Chevalier et al., 2019) that includes 90 taxa and 7634 modern pollen samples with pollen sums (excluding Pinus) higher or equal to 100 pollen grains (Tables 1 to 6). Table 7 contains 394 additional sites with pollen sums less than 100 pollen grains when excluding Pinus but higher or equal to 100 pollen grains when Pinus is included. Users can merge Tables 1 and 7 (8028 modern pollen samples) if they consider pollen sums (including Pinus) equal or higher than 100 pollen grains sufficient for accurate reconstructions. This ready-to-use version of the EMPD2 was initially built to do paleoclimatic reconstructions for Southern Europe. For users willing to do paleoclimate reconstructions in regions that may need to re-include some of the taxa that were removed, the intermediate version containing all the counts for the 840 initial taxa and the first grouping to 192 taxa is also available as Table 8.

EU27_2020 basemap for EEA internal use

This Discomap web map service provides an EU-27 (2020) basemap for internal EEA use as a background layer in viewers or any other web application. It is provided as REST and as OGC WMS services, dynamic and cached. The cached service has a custom cache at the following scales: 1/50.000.000 1/42.000.000 1/36.000.000 (Europe's size) 1/30.000.000 1/20.000.000 1/10.000.000 1/5.000.000 1/2.500.000 1/1.000.000.

Floods Reference Spatial Datasets reported under Floods Directive - version 2.0, Jul. 2024

The Floods Directive (FD) was adopted in 2007 (https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex:32007L0060). The purpose of the FD is to establish a framework for the assessment and management of flood risks, aiming at the reduction of the adverse consequences for human health, the environment, cultural heritage and economic activity associated with floods in the European Union. ‘Flood’ means the temporary covering by water of land not normally covered by water. This shall include floods from rivers, mountain torrents, Mediterranean ephemeral water courses, and floods from the sea in coastal areas, and may exclude floods from sewerage systems. This reference spatial dataset, reported under the Floods Directive, includes the areas of potential significant flood risk (APSFR), as they were lastly reported by the Member States to the European Commission, and the Units of Management (UoM).

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