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Waterbase - Biology, 2024

Waterbase serves as the EEA’s central database for managing and disseminating data regarding the status and quality of Europe's rivers, lakes, groundwater bodies, transitional, coastal, and marine waters. It also includes information on the quantity of Europe’s water resources and the emissions from point and diffuse sources of pollution into surface waters. Specifically, Waterbase - Biology focuses on biology data from rivers, lakes, transitional and coastal waters collected annually through the Water Information System for Europe (WISE) – State of Environment (SoE) reporting framework. The data are expected to be collected within monitoring programs defined under the Water Framework Directive (WFD) and used in the classification of the ecological status or potential of rivers, lakes, transitional and coastal water bodies. These datasets provide harmonised, quality-assured biological monitoring data reported by EEA member and cooperating countries, as Ecological Quality Ratios (EQRs) from all surface water categories (rivers, lakes, transitional and coastal waters).

Master tracks in different resolutions of ELISABETH MANN BORGESE cruise EMB383, Rostock - Rostock, 2025-07-19 - 2025-07-20

Raw data acquired by position sensors on board RV Elisabeth Mann Borgese during expedition EMB383 were processed to receive a validated master track which can be used as reference of further expedition data. During EMB383 data from the motion reference unit exail Phins Gen.3, the Trimble SPS356 GPS receiver, the Furuno GP-170 and the Furuno GP-150 GPS receiver were used to calculate the mastertrack. Data were downloaded from DAVIS SHIP data base (https://dship.bsh.de) with a resolution of 1 sec. Processing and evaluation of the data is outlined in the data processing report. Processed data are provided as a master track with 1 sec resolution derived from the position sensors' data selected by priority and a generalized track with a reduced set of the most significant positions of the master track.

GTS Bulletin: WOSN01 ESNZ - Warnings (details are described in the abstract)

The WOSN01 TTAAii Data Designators decode as: T1 (W): Warnings T1T2 (WO): Other A1A2 (SN): Sweden (Remarks from Volume-C: NilReason)

GTS Bulletin: PWEE70 EDZW - Pictorial information (Binary coded) (details are described in the abstract)

The PWEE70 TTAAii Data Designators decode as: T1 (P): Pictorial information (Binary coded) T1T2 (PW): Wind A1 (E): 0° - 90°W tropical belt A2 (E): 24 hours forecast T1ii (P70): 700 hPa (Remarks from Volume-C: WAFS W+T H+24 FL 100 (ICAO A))

Sentinel-5P TROPOMI – Aerosol Layer Height (ALH), Level 3 – Global

Aerosols are an indicator for episodic aerosol plumes from dust outbreaks, volcanic ash, and biomass burning. Daily observations are binned onto a regular latitude-longitude grid. The Aerosol layer height is provided in kilometres. The TROPOMI instrument onboard the Copernicus SENTINEL-5 Precursor satellite is a nadir-viewing, imaging spectrometer that provides global measurements of atmospheric properties and constituents on a daily basis. It is contributing to monitoring air quality and climate, providing critical information to services and decision makers. The instrument uses passive remote sensing techniques by measuring the top of atmosphere solar radiation reflected by and radiated from the earth and its atmosphere. The four spectrometers of TROPOMI cover the ultraviolet (UV), visible (VIS), Near Infra-Red (NIR) and Short Wavelength Infra-Red (SWIR) domains of the electromagnetic spectrum. The operational trace gas products generated at DLR on behave ESA are: Ozone (O3), Nitrogen Dioxide (NO2), Sulfur Dioxide (SO2), Formaldehyde (HCHO), Carbon Monoxide (CO) and Methane (CH4), together with clouds and aerosol properties. This product is created in the scope of the project INPULS. It develops (a) innovative retrieval algorithms and processors for the generation of value-added products from the atmospheric Copernicus missions Sentinel-5 Precursor, Sentinel-4, and Sentinel-5, (b) cloud-based (re)processing systems, (c) improved data discovery and access technologies as well as server-side analytics for the users, and (d) data visualization services.

GTS Bulletin: FXDL44 EDDM - Forecast (details are described in the abstract)

The FXDL44 TTAAii Data Designators decode as: T1 (F): Forecast T1T2 (FX): Miscellaneous A1A2 (DL): Germany (The bulletin collects reports from stations: EDDM;MUNICH INT ;) (Remarks from Volume-C: BALLONING BULLETIN (IN GERMAN))

Edaphobase

Edaphobase is a GBIF-D project that collects information from literature, museum collections and research data about the distribution and ecology of soil organisms (earthworms, potworms, nematodes, springtails, proturans, diplurans, moss/beetle mites, gamasina mites, centipedes, millipedes, woodlice, soil fungi and soil prokaryotes). After March 2023, some data previously included in the overall Edaphobase-dataset have now been marked as their own specific datasets. If you are referencing the Edaphobase-dataset before this date, it will include all datasets uploaded to GBIF from the GBIF publisher 'Edaphobase'.

GTS Bulletin: FCSN32 ESSV - Forecast (details are described in the abstract)

The FCSN32 TTAAii Data Designators decode as: T1 (F): Forecast T1T2 (FC): Aerodrome (VT < 12 hours) A1A2 (SN): Sweden (Remarks from Volume-C: NilReason)

Spatially modelling forest trafficability with ForHym and LiDAR-based cartographic depth-to-water

The thesis proposal deals with mapping weather-affected changes in soil moisture over time. This is to visualize where and when soils would be subject to severe rutting and compaction under forest operations. The approach taken is modular by connecting temporal hydrothermal processes dealing with soil wetting, drying, freezing, and thawing to spatially anticipated locations of dry versus wet soil drainage conditions. The temporal variations within specific textured soils can be modeled at daily resolution based on air temperature, and precipitation (rain, snow) data. This is done with the Forest Hydrology Model (ForHyM). The spatial variations can be derived from LiDAR-generated bare-ground elevation surfaces at 1 m resolution by way of the newly developed metric depth-to-water index (DTW), for which DTW less than 10 , 10-25, 25-50, 50-100, greater than 100 cm indicates very poor, poor, imperfect, moderately well and well drainage conditions, respectively. The results of doing so will be illustrated for forested areas in Northern and Central New Brunswick in reference to actual forest harvesting and wood forwarding tracks. The attempt is to generalize the methodology for weather-dependent and geospatially base forecasting of soil conditions to better enable forest operation planning as seasons change from dry to wet and from wet to dry within seasons and from year to year.

C-PEAT global database (v. 2025)

This database is the first formal version of PAGES' C-PEAT Global Peatland Carbon Database (GD), which contains 267 independently cataloged peat cores and a large number of observations from those cores, including: peat depths, organic matter content values, dry bulk density values, organic density values, as well as carbon and nitrogen content values (Loisel et al. Submitted). This Editorial publication, along with the published scripts for data and metadata retrieval (Ransby et al. 2025), are designed to streamline data use and citation.

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