ALBERT

Description: The potential for renewable energy to encourage sustainable development raises high hopes for the future among countries in the Global South. However, there has been less research on how energy transitions are perceived outside of the Global North and democratic contexts. This paper explores attitudes towards the energy transition in Jordan, where expert interviews reveal that a strong renewable energy industry has emerged from top-down government efforts to reduce energy dependency and costs. We perform an in-person household survey with 320 respondents in areas with different transition risks and benefits, and then test a series of hypotheses using regression analysis. In the four communities surveyed, income stress and climate concern influence attitudes, as well as perceptions of community benefits. National-level concerns also matter, including energy dependency and energy costs for all Jordanians. Our results highlight the importance of context: findings from the North are not universal and understanding transitions in the Global South requires studying them in their own right. Policy insights Jordanian policymakers should reverse their policy of blocking renewables to avoid public backlash. Jordanian policymakers and funders should promote projects in communities with high economic dependence on the fossil fuel industry to ensure local support in areas facing transition risks. Policymakers should highlight collective, not just individual benefits of transitions, as perceptions of community and country benefits increase support. Policymakers in highly energy-dependent countries like Jordan should frame renewables as an answer to local and national challenges such as high energy prices. Actors wishing to promote clean energy support in different contexts should investigate local dynamics to build communication strategies that frame transitions appropriately. Jordanian policymakers should reverse their policy of blocking renewables to avoid public backlash. Jordanian policymakers and funders should promote projects in communities with high economic dependence on the fossil fuel industry to ensure local support in areas facing transition risks. Policymakers should highlight collective, not just individual benefits of transitions, as perceptions of community and country benefits increase support. Policymakers in highly energy-dependent countries like Jordan should frame renewables as an answer to local and national challenges such as high energy prices. Actors wishing to promote clean energy support in different contexts should investigate local dynamics to build communication strategies that frame transitions appropriately.

Description: Die EU und die USA tun sich schwer mit ihrem „Club für grünen Stahl“. Es hakt an unterschiedlichen Vorstellungen zum Design, an den ungleichen Ausgangslagen und nicht zuletzt an einer drohenden Wiederwahl Donald Trumps. Aber schon ein Minimalkonsens würde zeigen, dass zwei führende Handelsmächte es ernst meinen mit dem Klimaschutz in der Stahlindustrie, ist Charlotte Unger vom RIFS überzeugt.

Description: Technologies for Carbon Capture, Usage and Storage (CCUS) and Carbon Dioxide Removal (CDR) only represent climate solutions in as much as they go hand in hand with deep emissions reductions. The (future) availability of CCUS and CDR technologies does not mean we can delay or avoid phasing out fossil fuels if we are to have a chance of limiting global warming to 1.5°C or even 2°C. Likewise, the expansion of renewable energy technologies will be nowhere near adequate for meeting agreed-upon climate targets unless fossil fuels are simultaneously ramped down. Up until now, renewables have been largely in addition to, rather than substituting for fossil fuels. Achieving our climate and broader sustainable development goals will require transformations that go beyond energy systems and reevaluate the structures and institutions behind our patterns of consumption, mobility, and food production, among others.

Description: Tropical sea surface temperature (SST) biases can cause atmospheric biases on global scales, hence SST needs to be represented well in climate models. A major source of uncertainties is the representation of turbulent mixing in the oceanic boundary layer, or mixed layer (ML). In the present study we focus on near-inertial wave (NIW) induced mixing. The performance of two mixing schemes, Turbulent Kinetic Energy and K-profile parameterization (KPP), is assessed at two sites (11.5°N, 23°W and 15°N, 38°W) in the tropical Atlantic. At 11.5°N, turbulence observations (eddy diffusivities, shear and stratification) are available for comparison. We find that the schemes differ in their representation of NIWs, but both under-represent the observed enhanced diffusivities below the observed ML. However, we find that the models do mix below the ML at 15°N when a storm passes nearby. The near-inertial oscillations remain below the ML for the following 10 days. Near-inertial kinetic energy (NIKE) biases in the models are not directly correlated with the wind speed, the MLD biases, or the stratification at the ML base. Instead, NIKE biases are sensitive to the vertical mixing scheme parameterization. NIKE biases are lowest when the KPP scheme is used. Key Points: - Observations of inertial oscillations are used to evaluate the performance of two vertical mixing schemes in two high-resolution models - Both the K-profile parameterization and the Turbulent Kinetic Energy closure underestimate the NIW-induced mixing - Near-inertial kinetic energy biases are sensitive to the vertical mixing parameterization

Description: Turbulent mixing in the ocean, lakes and reservoirs facilitates the transport of momentum, heat, nutrients, and other passive tracers. Turbulent fluxes are proportional to the rate of turbulent kinetic energy dissipation per unit mass, ε. A common method for ε measurements is using microstructure profilers with shear probes. Such measurements are now widespread, and a non-expert practitioner will benefit from best practice guidelines and benchmark datasets. As a part of the Scientific Committee on Oceanographic Research (SCOR) working group on “Analysing ocean turbulence observations to quantify mixing” (ATOMIX), we compiled a collection of five benchmark data of ε from measurements of turbulence shear using shear probes. The datasets are processed using the ATOMIX recommendations for best practices documented separately. Here, we describe and validate the datasets. The benchmark collection is from different types of instruments and covers a wide range of environmental conditions. These datasets serve to guide the users to test their ε estimation methods and quality-assurance metrics, and to standardize their data for archiving.

Description: Sea spray aerosols (SSA) greatly affect the climate system by scattering solar radiation and acting as seeds for cloud droplet formation. The ecosystems in the Arctic Ocean are rapidly changing due to global warming, and the effects these changes have on the generation of SSA, and thereby clouds and fog formation in this region, are unknown. During the ship-based Arctic Century Expedition, we examined the dependency of forced SSA production on the biogeochemical characteristics of seawater using an on-board temperature-controlled aerosol generation chamber with a plunging jet system. Our results indicate that mainly seawater salinity and organic content influence the production and size distribution of SSA. However, we observed a 2-fold higher SSA production from waters with similar salinity collected north of 81°N compared to samples collected south of this latitude. This variability was not explained by phytoplankton and bacterial abundances or Chlorophyll-a concentration but by the presence of glucose in seawater. The synergic action of sea salt (essential component) and glucose or glucose-rich saccharides (enhancer) accounts for 〉80% of SSA predictability throughout the cruise. Our results suggest that besides wind speed and salinity, SSA production in Arctic waters is also affected by specific organics released by the microbiota.