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Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.AerChemMIP.HAMMOZ-Consortium.MPI-ESM-1-2-HAM' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The MPI-ESM1.2-HAM climate model, released in 2017, includes the following components: aerosol: HAM2.3, atmos: ECHAM6.3 (spectral T63; 192 x 96 longitude/latitude; 47 levels; top level 0.01 hPa), atmosChem: sulfur chemistry (unnamed), land: JSBACH 3.20, ocean: MPIOM1.63 (bipolar GR1.5, approximately 1.5deg; 256 x 220 longitude/latitude; 40 levels; top grid cell 0-12 m), ocnBgchem: HAMOCC6, seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model). The model was run by the ETH Zurich, Switzerland; Max Planck Institut fur Meteorologie, Germany; Forschungszentrum Julich, Germany; University of Oxford, UK; Finnish Meteorological Institute, Finland; Leibniz Institute for Tropospheric Research, Germany; Center for Climate Systems Modeling (C2SM) at ETH Zurich, Switzerland (HAMMOZ-Consortium) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 250 km, ocnBgchem: 250 km, seaIce: 250 km.

Project: Coupled Model Intercomparison Project Phase 6 (CMIP6) datasets - These data have been generated as part of the internationally-coordinated Coupled Model Intercomparison Project Phase 6 (CMIP6; see also GMD Special Issue: http://www.geosci-model-dev.net/special_issue590.html). The simulation data provides a basis for climate research designed to answer fundamental science questions and serves as resource for authors of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6). CMIP6 is a project coordinated by the Working Group on Coupled Modelling (WGCM) as part of the World Climate Research Programme (WCRP). Phase 6 builds on previous phases executed under the leadership of the Program for Climate Model Diagnosis and Intercomparison (PCMDI) and relies on the Earth System Grid Federation (ESGF) and the Centre for Environmental Data Analysis (CEDA) along with numerous related activities for implementation. The original data is hosted and partially replicated on a federated collection of data nodes, and most of the data relied on by the IPCC is being archived for long-term preservation at the IPCC Data Distribution Centre (IPCC DDC) hosted by the German Climate Computing Center (DKRZ). The project includes simulations from about 120 global climate models and around 45 institutions and organizations worldwide. Summary: These data include the subset used by IPCC AR6 WGI authors of the datasets originally published in ESGF for 'CMIP6.CMIP.HAMMOZ-Consortium.MPI-ESM-1-2-HAM.historical' with the full Data Reference Syntax following the template 'mip_era.activity_id.institution_id.source_id.experiment_id.member_id.table_id.variable_id.grid_label.version'. The MPI-ESM1.2-HAM climate model, released in 2017, includes the following components: aerosol: HAM2.3, atmos: ECHAM6.3 (spectral T63; 192 x 96 longitude/latitude; 47 levels; top level 0.01 hPa), atmosChem: sulfur chemistry (unnamed), land: JSBACH 3.20, ocean: MPIOM1.63 (bipolar GR1.5, approximately 1.5deg; 256 x 220 longitude/latitude; 40 levels; top grid cell 0-12 m), ocnBgchem: HAMOCC6, seaIce: unnamed (thermodynamic (Semtner zero-layer) dynamic (Hibler 79) sea ice model). The model was run by the ETH Zurich, Switzerland; Max Planck Institut fur Meteorologie, Germany; Forschungszentrum Julich, Germany; University of Oxford, UK; Finnish Meteorological Institute, Finland; Leibniz Institute for Tropospheric Research, Germany; Center for Climate Systems Modeling (C2SM) at ETH Zurich, Switzerland (HAMMOZ-Consortium) in native nominal resolutions: aerosol: 250 km, atmos: 250 km, atmosChem: 250 km, land: 250 km, ocean: 250 km, ocnBgchem: 250 km, seaIce: 250 km.

Supplementary material for the publication " Agricultural biogas plants as a hub to foster circular economy and bioenergy: An assessment using material substance and energy flow analysis" Burg, V., b, Rolli, C., Schnorf, V., Scharfy, D., Anspach, V., Bowman, G. Today's agro-food system is typically based on linear fluxes (e.g. mineral fertilizers importation), when a circular approach should be privileged. The production of biogas as a renewable energy source and digestate, used as an organic fertilizer, is essential for the circular economy in the agricultural sector. This study investigates the current utilization of wet biomass in agricultural anaerobic digestion plants in Switzerland in terms of mass, nutrients, and energy flows, to see how biomass use contributes to circular economy and climate change mitigation through the substitution effect of mineral fertilizers and fossil fuels. We quantify the system and its benefits in details and examine future developments of agricultural biogas plants using different scenarios. Our results demonstrate that agricultural anaerobic digestion could be largely increased, as it could provide ten times more biogas by 2050, while saving significant amounts of mineral fertilizer and GHG emissions.

UNEP/GRID-Geneva established the Global Sand Observatory initiative as a direct response to requests to identify knowledge gaps under the UNEA-4 Mineral Resource Resolution (UNEP/EA.4/Res.19). Sand resource governance is complex, spanning policy domains, stakeholders and sectors. Establishing consensus on key terms on the sand and sustainability topic is therefore key, and requires reviewing language, definitions and terminology. This will be important to initiate cross-sectoral and multi-actor discussions to define problems and update goals and key results in implementing policies and laws governing sand resources. This document is version 1 of what will be a living repository of terms and definitions being adopted as we explore themes in sand and sustainability at UNEP/GRID-Geneva following the UNEA-5 Minerals and Metals Management Resolution (UNEP/EA.5/Res.12). UNEP/GRID-Geneva shares this working research product openly in the spirit of open science, giving free access for all and seeking feedback and corrections.

The energy industry is going through challenging times of disruptive changes caused by decarbonization, decentralization, and digitalization. As the energy value chain is restructuring itself to accommodate the growing penetration of renewables, increasing number of independent power producers, and augmented self-consumption, new energy management approaches are required to accomplish energy transition. With the Fourth Industrial Revolution underway, it becomes evident that digitalization is the key to increase energy efficiency and ensure stable, reliable, and secure operations of the electric grid. Due to the energy industry's massive inertia, most energy utilities are missing the real momentum for unleashing large-scale digitalization enabled by Information and Communication Technology (ICT). This thesis proposes a set of ICT-based software applications, models, and tools aiming to bridge the gap between strategic roadmaps focused on the energy industry's digitalization and their actual implementation in real-world scenarios through digital energy services. The research is conducted within the designed ICT-based smart building and smart community frameworks, the modular structure and scalability of which can serve as a backbone for future digital energy management solutions. The introduction of a novel unsupervised load disaggregation approach helps raise awareness of one's energy-related behavior and understand what drives the energy usage in residential households without compromising privacy and security. Showcasing algorithm's performance on real-world datasets from Norway and Germany highlights compliance with state-of-the-art disaggregation accuracy and reduced computational costs. The development of machine learning-based supervised and unsupervised building occupancy forecasting algorithms with prediction accuracies beyond 97% helps identify best-suited windows for energy-saving opportunities and deliver insights into one's presence and absence patterns. Built on top of that occupancy-centric rule-based heating and air conditioning automation algorithm strives to unlock the buildings' massive potential for energy savings without compromising the occupants' thermal comfort. Simulations on real-world datasets collected in Portugal demonstrate more than 15% potential energy savings. Zooming out from smart buildings towards smart communities, we focus on the important role of intelligent green mobility in supporting further digitalization of the electric power sector. To overcome the inconveniences posed by the sparsity of charging infrastructure and facilitate the adoption of Electric Vehicles (EVs), we present a reinforcement learning (RL)-based EV-specific routing method that guarantees paths' energy feasibility in a graph-theoretical context. Consequently, we propose several deep RL algorithms to control EV charging with the aim to increase renewables' self-consumption and EV drivers' satisfaction. Benchmarking against rule-based and model predictive control demonstrates RL's superior computational performance and better fitness for future mobility systems. Finally, we introduce an innovative decentralized blockchain-supported framework that enables secure and reliable accounting of energy exchanges within the smart community. Implementing it in a demonstration site in Switzerland shows blockchain's potential to reduce EV charging costs, transform the market's business model, and facilitate the large-scale deployment of EVs.

Despite alarmist claims in the public discourse about the consequences of environmentally-induced migration for security, little empirical research has attempted to evaluate the contention. This dissertation, therefore, sets out to examine the linkage between environmental change, rural-urban migration, and nativist violence. To do so, it presents new data on rural-urban migration for 17 Sub-Saharan African countries. The findings unambiguously indicate that climate change does affect rural-urban migration flows, but only to a limited extent. In turn, these migratory flows may cause a moderate increase in the probability of nativist violence, particularly when the native population is marginalized by the central government. The findings, thus, reject the alarmist predictions. Climate change is unlikely to cause mass migration and, as a consequence, to substantially destabilize states.

The constituent countries of the MENA region---defined in this thesis in conformity with the regional definition of the International Energy Agency and encompassing 17 Muslim countries in North Africa, in the Levant, on the Arabian Peninsula, and Iran---have developed very rapidly over the past decade. Two figures best exemplify the region's tremendous transformation: Total population has expanded by more than 20% and its aggregate economic output has more than doubled. As much as this development is desirable, said development trends have also dramatically reshaped the energy policy environment in the MENA region and began causing problems of their own---affecting the region's large oil exporters and its energy importers alike. Having traditionally enjoyed high energy security and handsome resource rents by virtue of their abundant and cheap fossil fuels, new realities in the domestic energy systems demand a new policy focus on domestic energy issues. Energy challenges have emerged which threaten security of supply, fiscal stability, and environmental integrity. The challenges differ in magnitude from country-to-country and reflect the specific national conditions and circumstances. However, given the similarity in the underlying drivers and the governing energy policies, the energy challenges resemble each other across borders. More specifically, ballooning domestic energy demand consumes a rising share of national energy production and thus increasingly imperils the constant flow of the much needed proceeds from oil and gas exports. In the MENA countries with less abundant hydrocarbon resources, domestic demand growth has heightened energy dependence and, to make matters worse, the tighter supply situation in the energy exporting neighbors may eventually also lead to a discontinuation of the preferential supply agreements which they have benefitted from in the past. As a further corollary of demand growth, massive capital-intensive infrastructure investments are necessary to keep pace with the growth on the demand side. The regional tradition to sell energy commodities domestically at prices non-competitive prices or even below cost, however, limits the national energy sectors' own capability of mustering the required capital. Finally, the universally observable heavily fossil fuel-dominated national energy mixes in the region render the study countries vulnerable to supply shocks. The virtually complete reliance on the regionally available hydrocarbons for meeting energy demand is also a principal contributor to environmental degradation and at the core of the large carbon footprint of energy consumption in MENA countries. Given current policies in combination with the emerging demographic and economic trends, these challenges must be expected to become more severe in the years to come. Rising living standards, especially in the region's expanding urban population, are likely to boost per capita energy consumption. The projected, continued demographic and economic growth will further drive commodity demand. And the supply side cannot be counted on to mitigate the challenges under given policies. On the contrary. Although no reliable production projections are available, it stands to reason that production from the region's most prolific oil and gas fields---some of which have been producing for several decades now---will increasingly require the use of costly secondary and tertiary recovery methods and that some will eventually [...]

Arbeitsberichte Verkehrs- und Raumplanung, 677

What is the future of the manifold landscapes and territories across the world which support contemporary cities, such as Zurich, with water, food, human labour and other resources? How is human and non-human life in these environments affected by cities and by urbanisation? In our discipline, discussions on sustainability have remained focused on buildings and on cities, while these extended territories are equally exposed to rapid and far-reaching transformations with massive social and environmental implications. How can architects respond to these urgent changes? Can architecture become ecological, to go beyond-the-human and beyond-the-built, in order to engage with the environment as a whole?