INTERACT: FAIR Data from Cold Region Research Stations

The International Network for Terrestrial Research and Monitoring in the Arctic (INTERACT) is a EU Horizon 2020 funded infrastructure project seeking to provide a geographically comprehensive infrastructure for arctic and high altitude research stations. The overall objective of the project is to facilitate the identification of environmental and ecological change, the understanding of change and prediction of future changes. The second phase of the project commenced October 2016. One of the major tasks in the project is to create a coordinated and unified data management approach that would optimize potential future reuse, sharing, and guarantee data and metadata stewardship and preservation. Herein we present the preliminary plan to carry out this objective by focusing on four principles: Findability, Accessibility, Interoperability, and Reusability (FAIR). Currently, 79 sites in arctic and northern alpine areas are part of the INTERACT network. Data collected at these stations are from different scientific disciplines, e.g. geo-sciences (including the atmosphere and cryosphere), hydrology, biology, ecology, and to some extent anthropology. These data are generated as a result of monitoring activities or short term projects. A survey of data management practices in INTERACT was conducted at the beginning of the project. The main finding is that data management at INTERACT stations is highly heterogeneous. In order to establish a unified view on all the data collected by INTERACT stations and through this show the benefit of INTERACT, interoperability at the discovery metadata and data levels is required. The first step towards this is taken through a Data Management Plan (DMP) which is identifying the general principles, common standards to apply and data dissemination principles. The DMP for INTERACT is a living document oriented towards international data management frameworks like World Meteorological Organization Information System (utilized by e.g. Global Cryosphere Watch, Global Atmosphere Watch), and aligned with the activities of the International Arctic Science Committee (IASC) and Sustaining Arctic Observing Network (SAON) Arctic Arctic Data Committee (ADC). INTERACT emphasizes long term data preservation (as promoted by ICSU-WDS), community driven best practices (e.g. RDA), and the principles outlined by the ADC, that promote free, ethically open, sustained, and timely access to Arctic data. This approach should provide easy integration with the H2020 Open Research Data Pilot, and ensure data access to a variety of stakeholders (e.g. ESA DUE, GlobPermafrost, etc.). The initial data management effort focuses on discovery metadata, utilizing internationally accepted standards, protocols and vocabularies, ensuring the interoperability with international systems and frameworks, and the preservation of scientific legacy. Datasets will be documented using the Global Change Master Directory/Directory Interchange Format or ISO19115 standards. To provide interoperability at the data level, long term archival of data across different national repositories with long term mandates in self-explaining file formats (e.g. NetCDF, HDF/HDF5) is envisioned eventually. Therefore, our goal is to establish a unified approach to metadata and data generated by stations in the INTERACT network. This will be beneficial for scientific purposes, but also for monitoring activities. The latter is particularly important as Arctic monitoring to a large degree rely on the effort of the scientific community

GTN-P borehole data management towards global assessment of permafrost temperature change

In 1999, the International Permafrost Association (IPA) established the Global Terrestrial Network for Permafrost (GTN-P, gtnp.org). The goal of the network is systematic and long-term documentation of the distribution, variability, and trends of permafrost (an Essential Climate Variable, ECV) based on a global network of field measurements. The two current cryospheric indicators are permafrost temperature and active layer thickness, throughout the Earth’s permafrost regions. The network has been mainly operated by scientist and research institutions and programs. GTN-P developed a Data Management System (gtnpdatabase.org) for the collection, processing (including standardisation), and dissemination of permafrost data and metadata. Recent ground temperature and active layer thickness data are being compiled to provide an update to the current permafrost state. GTN-P is part of the Global Climate Observing System (GCOS) Global Terrestrial Observing System (GTOS). GCOS is a joint undertaking of the World Meteorological Organization (WMO), the Intergovernmental Oceanographic Commission (IOC) of the United Nations Educational Scientific and Cultural Organization (UNESCO), the United Nations Environment Programme (UNEP) and the International Council for Science (ICSU). Permafrost temperature measurements, commonly performed with permanently installed multi-thermistor cables in boreholes, enable a good accuracy of 0.1°C. The logger resolution and measurement frequency, however, varies with the type and the depth of the individual borehole. Due to high geomorphological surface and subground dynamics, the relative vertical position of testing probes can change and bias the depth indications of old boreholes in sensitive areas. Most important quality concerns are measurement accuracy, zero annual amplitude depth, data gaps, incomplete time series, and spatial clustering of boreholes. We developed a methodological approach to filter the data by defined quality rules in order to calculate global to regional weighted averages of permafrost temperature anomalies. In this presentation we aim to give an overview on the systematical data pathway from borehole principal investigators over National Correspondents in GTN-P, followed by data processing algorithms in the GTN-P DMS towards quality checked time series data

Ice wedges as archives of winter palaeoclimate: a review

Ice wedges are a characteristic feature of northern permafrost landscapes and grow mainly by snowmelt that refreezes in thermal contraction cracks that open in winter. In high latitudes the stable‐isotope composition of precipitation (δ18O and δD) is sensitive to air temperature. Hence, the integrated climate information of winter precipitation is transferred to individual ice veins and can be preserved over millennia, allowing ice wedges to be used to reconstruct past winter climate. Recent studies indicate a promising potential of ice‐wedge‐based paleoclimate reconstructions for more comprehensive reconstructions of Arctic past climate evolution. We briefly highlight the potential and review the current state of ice‐wedge paleoclimatology. Existing knowledge gaps and challenges are outlined and priorities for future ice‐wedge research are suggested. The major research topics are (1) frost cracking and infilling dynamics, (2) formation and preservation of the stable‐isotope information, (3) ice‐wedge dating, (4) age‐model development and (5) interpretation of stable‐isotope time series. Progress in each of these topics will help to exploit the paleoclimatic potential of ice wedges, particularly in view of their unique cold‐season information, which is not adequately covered by other terrestrial climate archives

Effect of temperature on carbon accumulation in northern lake systems over the past 21,000 years

Introduction: Rising industrial emissions of carbon dioxide and methane highlight the important role of carbon sinks and sources in fast-changing northern landscapes. Northern lake systems play a key role in regulating organic carbon input by accumulating carbon in their sediment. Here we look at the lake history of 28 lakes (between 50°N and 80°N) over the past 21,000 years to explore the relationship between carbon accumulation in lakes and temperature changes. Method: For this study, we calculated organic carbon accumulation rates (OCAR) using measured and newly generated organic carbon and dry bulk density data. To estimate new data, we used and evaluated seven different regression techniques in addition to a log-linear model as our base model. We also used combined age-depth modeling to derive sedimentation rates and the TraCE-21ka climate reanalysis dataset to understand temperature development since the Last Glacial Maximum. We determined correlation between temperature and OCAR by using four different correlation coefficients. Results: In our data collection, we found a slightly positive association between OCAR and temperature. OCAR values peaked during warm periods Bølling Allerød (38.07 g·m−2·yr−1) and the Early Holocene (40.68 g·m−2·yr−1), while lowest values occurred during the cold phases of Last Glacial Maximum (9.47 g·m−2·yr−1) and Last Deglaciation (10.53 g·m−2·yr−1). However, high temperatures did not directly lead to high OCAR values. Discussion: We assume that rapid warming events lead to high carbon accumulation in lakes, but as warming progresses, this effect appears to change as increased microbial activity triggers greater outgassing. Despite the complexity of environmental forcing mechanisms affecting individual lake systems, our study showed statistical significance between measured OCAR and modelled paleotemperature for 11 out of 28 lakes. We concluded that air temperature alone appears to drive the carbon accumulation in lakes. We expected that other factors (catchment vegetation, permafrost, and lake characteristics) would influence accumulation rates, but could not discover a conclusive factor that had a statistical significant impact. More data available on long-term records from northern lake systems could lead to more confidence and accuracy on the matter

Effect of temperature on carbon accumulation in northern lake systems over the past 21,000 years

Introduction: Rising industrial emissions of carbon dioxide and methane highlight the important role of carbon sinks and sources in fast-changing northern landscapes. Northern lake systems play a key role in regulating organic carbon input by accumulating carbon in their sediment. Here we look at the lake history of 28 lakes (between 50°N and 80°N) over the past 21,000 years to explore the relationship between carbon accumulation in lakes and temperature changes. Method: For this study, we calculated organic carbon accumulation rates (OCAR) using measured and newly generated organic carbon and dry bulk density data. To estimate new data, we used and evaluated seven different regression techniques in addition to a log-linear model as our base model. We also used combined age-depth modeling to derive sedimentation rates and the TraCE-21ka climate reanalysis dataset to understand temperature development since the Last Glacial Maximum. We determined correlation between temperature and OCAR by using four different correlation coefficients. Results: In our data collection, we found a slightly positive association between OCAR and temperature. OCAR values peaked during warm periods Bølling Allerød (38.07 g·m−2·yr−1) and the Early Holocene (40.68 g·m−2·yr−1), while lowest values occurred during the cold phases of Last Glacial Maximum (9.47 g·m−2·yr−1) and Last Deglaciation (10.53 g·m−2·yr−1). However, high temperatures did not directly lead to high OCAR values. Discussion: We assume that rapid warming events lead to high carbon accumulation in lakes, but as warming progresses, this effect appears to change as increased microbial activity triggers greater outgassing. Despite the complexity of environmental forcing mechanisms affecting individual lake systems, our study showed statistical significance between measured OCAR and modelled paleotemperature for 11 out of 28 lakes. We concluded that air temperature alone appears to drive the carbon accumulation in lakes. We expected that other factors (catchment vegetation, permafrost, and lake characteristics) would influence accumulation rates, but could not discover a conclusive factor that had a statistical significant impact. More data available on long-term records from northern lake systems could lead to more confidence and accuracy on the matter.Peer Reviewe

Attributing observed permafrost warming in the northern hemisphere to anthropogenic climate change

Permafrost temperatures are increasing globally with the potential of adverse environmental and socio-economic impacts. Nonetheless, the attribution of observed permafrost warming to anthropogenic climate change has relied mostly on qualitative evidence. Here, we compare long permafrost temperature records from 15 boreholes in the northern hemisphere to simulated ground temperatures from Earth system models contributing to CMIP6 using a climate change detection and attribution approach. We show that neither pre-industrial climate variability nor natural drivers of climate change suffice to explain the observed warming in permafrost temperature averaged over all boreholes. However, simulations are consistent with observations if the effects of human emissions on the global climate system are considered. Moreover, our analysis reveals that the effect of anthropogenic climate change on permafrost temperature is detectable at some of the boreholes. Thus, the presented evidence supports the conclusion that anthropogenic climate change is the key driver of northern hemisphere permafrost warming

Attributing observed permafrost warming in the northern hemisphere to anthropogenic climate change

Permafrost temperatures are increasing globally with the potential of adverse environmental and socio-economic impacts. Nonetheless, the attribution of observed permafrost warming to anthropogenic climate change has relied mostly on qualitative evidence. Here, we compare long permafrost temperature records from 15 boreholes in the northern hemisphere to simulated ground temperatures from Earth system models contributing to CMIP6 using a climate change detection and attribution approach. We show that neither pre-industrial climate variability nor natural drivers of climate change suffice to explain the observed warming in permafrost temperature averaged over all boreholes. However, simulations are consistent with observations if the effects of human emissions on the global climate system are considered. Moreover, our analysis reveals that the effect of anthropogenic climate change on permafrost temperature is detectable at some of the boreholes. Thus, the presented evidence supports the conclusion that anthropogenic climate change is the key driver of northern hemisphere permafrost warming.Bundesministerium für Bildung und Forschunghttp://dx.doi.org/10.13039/501100002347Peer Reviewe

Quaternary geology and landforms around Potsdam by bike

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