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SWIM Water Extent - Sentinel-1/2 - Global, Daily

SWIM Water Extent is a global surface water product at 10 m pixel spacing based on Sentinel-1/2 data. The collection contains binary layers indicating open surface water for each Sentinel-1/2 scene. Clouds and cloud shadows are removed using ukis-csmask (see: https://github.com/dlr-eoc/ukis-csmask ) and are represented as NoData. The water extent extraction is based on convolutional neural networks (CNN). For further information, please see the following publications: https://doi.org/10.1016/j.rse.2019.05.022 and https://doi.org/10.3390/rs11192330

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.

METOP GOME-2 - Nitrogen Dioxide (NO2) - Global

The Global Ozone Monitoring Experiment-2 (GOME-2) instrument continues the long-term monitoring of atmospheric trace gas constituents started with GOME / ERS-2 and SCIAMACHY / Envisat. Currently, there are three GOME-2 instruments operating on board EUMETSAT's Meteorological Operational satellites MetOp-A, -B, and -C, launched in October 2006, September 2012, and November 2018, respectively. GOME-2 can measure a range of atmospheric trace constituents, with the emphasis on global ozone distributions. Furthermore, cloud properties and intensities of ultraviolet radiation are retrieved. These data are crucial for monitoring the atmospheric composition and the detection of pollutants. DLR generates operational GOME-2 / MetOp level 2 products in the framework of EUMETSAT's Satellite Application Facility on Atmospheric Chemistry Monitoring (AC-SAF). GOME-2 near-real-time products are available already two hours after sensing. The operational NO2 total column products are generated using the algorithm GDP (GOME Data Processor) version 4.x integrated into the UPAS (Universal Processor for UV / VIS Atmospheric Spectrometers) processor for generating level 2 trace gas and cloud products. The total NO2 column is retrieved from GOME solar back-scattered measurements in the visible wavelength region (425-450 nm), using the Differential Optical Absorption Spectroscopy (DOAS) method. For more details please refer to relevant peer-review papers listed on the GOME and GOME-2 documentation pages: https://atmos.eoc.dlr.de/app/docs/

INSPIRE: The 1:5 Million International Geological Map of Europe and Adjacent Areas - German part (IGME5000-DE)

The IGME5000-DE (INSPIRE) represents the pre-quaternary bedrock geology (section of Germany) of the European map on a scale of 1:5,000,000. According to the Data Specification on Geology (D2.8.II.4_v3.0) the content of the geological map is stored in two INSPIRE-compliant GML files: IGME5000-DE_GeologicUnit.gml contains the geologic units and IGME5000-DE_GeologicStructure.gml comprises the faults. The GML files together with a Readme.txt file are provided in ZIP format (IGME5000-DE-INSPIRE.zip). The Readme.text file (German/English) contains detailed information on the GML files content. Data transformation was proceeded by using the INSPIRE Solution Pack for FME according to the INSPIRE requirements.

ICON-EPS GRIB data

ICON-EPS 0.5º x 0.5º regular lat/lon grid, up to +180h every 6h, runs 00/12 UTC varios parameter, varios level, varios threshold

GrassLands - Mowing Frequency - Yearly, 10m

Grassland mowing dynamics (i.e. the timing and frequency of mowing events) have a strong impact on grassland functions and yields. As grasslands in Germany are managed on small-scale units and grass grows back quickly, satellite information with high spatial and temporal resolution is necessary to capture grassland mowing dynamics. Based on Sentinel-2 data time series, mowing events are detected throughout Germany and annual maps of the grassland mowing frequency generated. The grassland mowing detection approach operates per pixel, including preprocessing of the Enhanced Vegetation Index (EVI) time series and a calibrated rule-based grassland mowing detection which is specified in more detail in Reinermann et al. 2022, 2023.

VMLV40 collection of TEXT reports available from UMRR (RIGA/SKULTE+FIR) at 06 UTC

---- The bulletin collects TEXT reports. ---- The VMLV40 TTAAii Data Designators decode (2) as: T1 (V): National data. A1A2 (LV): Latvia. (2: Refer to WMO No.386 - Manual on the GTS - Attachment II.5) ---- The bulletin collects reports from stations: Kolka, Ventspils, Skulte and Liepaja

Monthly DWD drought index: maps

Maps of monthly DWD drought index derived from GPCC data on a 1x1 degree grid, provided by WMO RA VI Regional Climate Centre (RCC) on Climate Monitoring

SMLV10 collection of SYNOP reports available from UMRR (RIGA/SKULTE+FIR) at 00, 06, 12 and 18 UTC

---- The bulletin collects SYNOP reports: FM 12 (SYNOP, Report of surface observation from a fixed land station). (Refer to WMO No.306 - Manual on Codes for the definition of WMO international codes) ---- The SMLV10 TTAAii Data Designators decode (2) as: T1 (S): Surface data. T2 (M): Main synoptic hour. A1A2 (LV): Latvia. (2: Refer to WMO No.386 - Manual on the GTS - Attachment II.5) ---- The bulletin collects reports from stations: Kolka, Aluksne, Liepaja, Saldus, Riga and Daugavpils

SILV20 collection of SYNOP reports available from UMRR (RIGA/SKULTE+FIR) at 03, 09, 15 and 21 UTC

---- The bulletin collects SYNOP reports: FM 12 (SYNOP, Report of surface observation from a fixed land station). (Refer to WMO No.306 - Manual on Codes for the definition of WMO international codes) ---- The SILV20 TTAAii Data Designators decode (2) as: T1 (S): Surface data. T2 (I): Intermediate synoptic hour. A1A2 (LV): Latvia. (2: Refer to WMO No.386 - Manual on the GTS - Attachment II.5) ---- The bulletin collects reports from stations: Kolka, Aluksne, Liepaja, Saldus, Riga and Daugavpils

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