Accessing Diverse Data Comprehensively – CODM the COSYNA Data Portal

Breitbach, Gisbert; Krasemann, Hajo; Behr, D.; Beringer, Steffen; Lange, U.; Vo, Nhan; Schroeder, Friedhelm

doi:10.5194/os-2016-6

Cited by 4 publications

(7 citation statements)

References 12 publications

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“…The datasets used in the 2013 maps are listed in Table 1. The FerryBox and MARNET data was downloaded from the COSYNA data portal CODM (Breitbach et al, 2016).…”

Section: Data Sourcesmentioning

confidence: 99%

Extreme Flood Impact on Estuarine and Coastal Biogeochemistry: the 2013 Elbe Flood

Voynova¹,

Brix²,

Petersen³

et al. 2016

Preprint

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Abstract. Within the context of predicted and observed increase in droughts and floods with climate change, large summer floods are likely to become more frequent. These extreme events can alter typical biogeochemical patterns in coastal systems. The extreme Elbe River flood in June, 2013 not only caused major damages in several European countries, but also generated large scale biogeochemical changes in the Elbe Estuary and the adjacent German Bight. Due to a number of well documented and unusual atmospheric conditions, the early summer of 2013 in Central and Eastern Europe was colder and wetter than usual, with saturated soils, and higher than average cumulative precipitation. Additional precipitation at the end of May, and beginning of June, 2013, caused widespread floods within the Danube and Elbe Rivers, as well as billions of euros in damages. The floods generated the largest summer discharge on record within the last 140 years. The high-frequency monitoring network in the German Bight available within the Coastal Observing System for Northern and Arctic Seas (COSYNA) captured the flood influence on the German Bight. Monitoring data from a FerryBox station in the Elbe Estuary (Cuxhaven) and from a FerryBox platform aboard the M/V Funny Girl Ferry (traveling between B&#252;sum and Helgoland) documented the salinity changes on the German Bight, which persisted for about 2 months after the peak discharge. The flood generated a large influx of nutrients, dissolved and particulate organic carbon on the coast. These conditions subsequently led to the onset of a chlorophyll bloom within the German Bight, observed by dissolved oxygen supersaturation, and higher than usual pH in surface coastal waters. The prolonged stratification also led to widespread bottom water dissolved oxygen depletion, unusual for the south eastern German Bight in the summer.

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“…The datasets used in the 2013 maps are listed in Table 1. The FerryBox and MARNET data was downloaded from the COSYNA data portal CODM (Breitbach et al, 2016).…”

Section: Data Sourcesmentioning

confidence: 99%

Extreme Flood Impact on Estuarine and Coastal Biogeochemistry: the 2013 Elbe Flood

Voynova¹,

Brix²,

Petersen³

et al. 2016

Preprint

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“…The model validation consisted in comparing the output of the TTM with observations of abundance of megalopa of H. sanguineus in the intertidal of Helgoland (Supplementary material Appendix 4) and through cross‐correlation analysis (Chatfield ). For the output of the TTM, temperature data consisted of daily records of seawater temperature for the Helgoland Roads, island of Helgoland, German Bight (source COSYNA data portal, Helmholtz–Zentrum Geesthacht, Wiltshire et al , Breitbach et al , Baschek et al ). The TTM uses a time series of the abundance of Zoea I larvae (in individuals per m 3 ) to establish the date at which virtual larvae are released in the model: the density of Zoea I in the water column at a given date is therefore used as proxy for the timing of larval release.…”

Section: Methodsmentioning

confidence: 99%

Exploring larval phenology as predictor for range expansion in an invasive species

et al. 2020

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Predicting range expansion of invasive species is one of the key challenges in ecology. We modelled the phenological window for successful larval release and development (WLR) in order to predict poleward expansion of the invasive crab Hemigrapsus sanguineus along the Atlantic coast of North America and north Europe. WLR quantifies the number of opportunities (in days) when larval release leads to a successful completion of the larval phase; WLR depends on the effects of temperature on the duration of larval development and survival. Successful larval development is a necessary requirement for the establishment of self-persistent local populations. WLR was computed from a mechanistic model, based on in situ temperature time series and a laboratory-calibrated curve predicting duration of larval development from temperature. As a validation step, we checked that model predictions of the time of larval settlement matched observations from the field for our local population (Helgoland, North Sea). We then applied our model to the North American shores because larvae from our European population showed, in the laboratory, similar responses to temperature to those of a North American population. WLR correctly predicted the northern distribution limit in North American shores, where the poleward expansion of H. sanguineus appear to have stalled (as of 2015). For north Europe, where H. sanguineus is a recent invader, WLR predicted ample room for poleward expansion towards NE England and S Norway. We also explored the importance of year-to-year variation in temperature for WLR and potential expansion: variations in WLR highlighted the role of heat waves as likely promoters of recruitment subsidising sink populations located at the distribution limits. Overall, phenological windows may be used as a part of a warning system enabling more targeted programs for monitoring.

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“…The measurements taken with COSYNA gliders is available on CODM. With the help of a Java applet, glider data can be visualized in 3 dimensions (Breitbach et al, 2016).…”

Section: Ocean Glidersmentioning

confidence: 99%

“…The COSYNA data management system (CODM) was established to make observational and model data publically available in near-real time (Breitbach et al, 2016). The time between observations and the availability of data on CODM is ranging from a few minutes for stationary measurements to about 24 h for data obtained from ships of opportunity and satellites.…”

Section: Data Managementmentioning

confidence: 99%

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The Coastal Observing System for Northern and Arctic Seas (COSYNA)

Baschek¹,

Schroeder²,

Brix³

et al. 2016

Preprint

Self Cite

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Abstract. The Coastal Observing System for Northern and Arctic Seas (COSYNA) was established in order to better understand the complex interdisciplinary processes of northern seas and the arctic coasts in a changing environment. Particular focus is given to the German Bight in the North Sea as a prime example for a heavily used coastal area, and Svalbard as an example of an arctic coast that is under strong pressure due to global change. The automated observing and modelling system COSYNA is designed to monitor real time conditions, provide short-term forecasts and data products, and to assess the impact of anthropogenically induced change. Observations are carried out combining satellite and radar remote sensing with various in situ platforms. Novel sensors, instruments, and algorithms are developed to further improve the understanding of the interdisciplinary interactions between physics, biogeochemistry, and the ecology of coastal seas. New modelling and data assimilation techniques are used to integrate observations and models in a quasi-operational system providing descriptions and forecasts of key hydrographic variables. Data and data products are publically available free of charge and in real time. They are used by multiple interest groups in science, agencies, politics, industry, and the public.

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Accessing Diverse Data Comprehensively – CODM the COSYNA Data Portal

Cited by 4 publications

References 12 publications

Extreme Flood Impact on Estuarine and Coastal Biogeochemistry: the 2013 Elbe Flood

Extreme Flood Impact on Estuarine and Coastal Biogeochemistry: the 2013 Elbe Flood

Exploring larval phenology as predictor for range expansion in an invasive species

The Coastal Observing System for Northern and Arctic Seas (COSYNA)

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