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Distribution and concentration of nutrients, carbon compounds and methane in water samples in the southern German Bight (North Sea) in September 2024 during the MOSES Sternfahrt 12

The 12th Sternfahrt of the ElbeXtreme and MOSES projects took place in 2024 from September 02 to 13, within the area of the German Bight (North Sea). Its objective was to get a more systematic grid of sampling data by spatially integrated onboard sensors. Therefore, the MOSES-laboratory container was installed again. Water samples were taken from the surface with a rosette or via Niskin bottles. The first part of the cruise was conducted by the research vessel (RV) Ludwig Prandtl, starting on the 2nd of September on Heligoland. From there, the crew navigated towards Cuxhaven covering some stations from previous MOSES cruises. For the next days, the ship followed a rectangular track, shifting northward each day, heading towards Heligoland again. Due to strong winds, the sampling stations were reduced to three on the last day. On Heligoland the RV Mya II took over the laboratory container and other sampling equipment for the second part of the cruise. Persistent strong winds delayed the start of the cruise until September 11. Since most of the planned stations were already covered from the RV Ludwig Prandtl, the crew decided to expand the sampling area using a more systematic zig-zag line. With the return of Mya II in the afternoon of the 13th September 2024, the campaign was successfully finished.

Model Output Statistics for Mergentheim, Bad-Neunkirchen (Q076)

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 ]

Carbon system parameters in the Baltic Sea from 2003 to 2023 using IOW monitoring data

The saturation status of calcium carbonate forms was calculated as part of the CDRmare RETAKE project effort to assess potentials and impacts for using alkalinity enhancement to enhance the capture of atmospheric carbon dioxide (CO2). Therefore, this data set is a compilation of carbonate system parameters measured during the monitoring cruises of the Leibniz Institute for Baltic Sea Research Warnemünde (IOW) in the Baltic Sea from 2003 to 2023. Ancillary data was retrieved using the IOW's ODIN2 data tool accordingly. The following permanent link allows one to search and extract the data using our settings: https://odin2.io-warnemuende.de/957-0489-676. We paired the carbonate and ancillary (nutrient and hydrogen sulfide, H2S, data) data by selecting the respective cruise, station, timestamp, and depth. Next, we calculated the calcite and aragonite saturation state and other carbonate system parameters using the measured parameters always when two carbonate-system parameters were available. For these calculations, we used CO2SYS v.3.1.2 script for MATLAB (Sharp et al., 2023; van Heuven et al., 2011; Lewis and Wallace, 1998) with the following dissociation constants settings: K1 and K2 of Waters, Millero, & Woosley (2014), KSO4 of Dickson (1990), KF of Perez & Fraga (1987), and TB of Uppström (1979). Propagated uncertainty was calculated using the errors script for MATLAB CO2SYS of Orr et al. (2018) and applying the respective errors: total alkalinity (AT) = 4 µmol/kg, total inorganic dissolved carbon (CT) = 2 µmol/kg, pH = 0.005 (Total), phosphate (PO4) = 3.8%, silicate (SiO4) = 4.6%, and ammonium (NH4) = 9.2%. All carbonate system parameters are presented under 25°C and 0 atm conditions.

Model Output Statistics for Emmendingen-Mundingen (Q702)

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 ]

Model Output Statistics for REICHENAU/RAX (11380)

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 ]

Model Output Statistics for IOANNINA (16642)

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 ]

Model Output Statistics for Offenbach-Wetterpark (10641)

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 ]

INSPIRE-BFD5W: Bodenreaktion im Rigolhorizont

INSPIRE-Version der BFD5w. Die Art der Bodenreaktion (alkalisch, neutral, sauer) ist ein Kriterium für die Reaktivität eines Bodens. Der pH-Wert wirkt sich direkt oder indirekt auf viele Bodeneigenschaften (z B. Bodengefüge, Bodenorganismen, Nährstoffverfügbarkeit) und damit auf das Pflanzenwachstum aus.$Absatz$ <a href='https://www.lgb-rlp.de/fileadmin/service/lgb_downloads/inspire/boden/bfd5w/bfd5w_bodenreaktion.gml' target='_blank'>GML-Download</a>

ALKIS®-Tatsächliche Nutzung

Die Tatsächliche Nutzung stellt Grundflächen dar und beschreibt, wie Grund und Boden vor Ort aktuell genutzt werden. Die Tatsächliche Nutzung wird als Teil des Grunddatenbestandes von ALKIS® geführt und beinhaltet raumbezogene Objekte, die gegliedert sind in die vier bundesweit einheitlichen Objektartengruppen Siedlung, Verkehr, Vegetation und Gewässer. Sämtliche Eigenschaften der Objektarten der Tatsächlichen Nutzung sind im ALKIS®-Objektartenkatalog nach dem AAA Anwendungsschema 7.1.2 festgehalten.

Model Output Statistics for Marienberg-Rübenau (O846)

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 ]

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