. "A Zarr dataset of Sentinel-1 radar backscatter (sigma^0) data resampled onto a fibonacci grid at 6.25km spacing. The dataset contains 13.2 million grid points over Spain/Morocco with VV and VH polarizations, processed by finding the nearest grid points and computing weighted means using a hamming window function with 6.5km radius. Each point stores up to 3000 observations (timestamps, backscatter values, satellite IDs) along with coordinates and cell information." . "SEiSMo-CS1-DOA1 | Sentinel-1 Fibonacci Gridded Backscatter" . . . . . . . "Count of annual heavy precipitation days over 10 mm precipitation in Bremen and Bremerhaven from 1961 until today." . "F2A-CS6-DOA5 | Heavy Precipitation Days" . . . . . . "The Climate Connectivity Taxonomy is a vocabulary covering three distinct areas of expertise (climate change mitigation, climate change adaptation, and disaster risk reduction) at all levels, worldwide. " . "F2A-CS5B-DOA2 | Climate Connectivity Taxonomy" . . . . . . "The Climate Connectivity Hub is a search-and-discovery tool that brings together cutting-edge information on climate change mitigation, climate change adaptation, and disaster risk reduction." . "F2A-CS5B-DOA1 | Climate Connectivity Hub" . . . . . . "Online articles published on the weADAPT platform" . "F2A-CS5A-DOA2 | WeADAPT Artefact" . . . . . "weADAPT is one of the world’s leading and longest-running collaborative platforms for climate change adaptation. " . "F2A-CS5A-DOA1 | WeADAPT" . . . . . . "Pluvial flood risk maps of Hamburg" . "F2A-CS3-DOA7 | Pluvial Flood Risk" . . . . "Workflow Risk Toolbox to be run in ArcGIS" . "F2A-CS3-DOA1 | Riskmap toolbox" . . . . "Street and buildings maps of Hamburg" . "F2A-CS3-DOA6 | Infrastructure data" . . . . "Method paper: High-resolution framework for assessing climate-related risk at the building scale by operationalizing the IPCC risk concept, defining risk as a function of vulnerability, exposure and hazard." . "F2A-CS3-DOA5 | Paper on High-Resolution Framework on Pluvial Flood Risk" . . . . "Scientific paper: Urban Pluvial Flood Risk Mapping: A High-Resolution Assessment for the City of Hamburg" . "F2A-CS3-DOA4 | Paper on Urban Pluvial Flood Risk Mapping" . . . . . "Water level based on pluvial flood scenario based on a rainfall of 36 mm/h reflecting a 100-year event " . "F2A-CS3-DOA2 | Hamburg Flood data" . . . . "Population Data of City of Hamburg is reported at the statistical unit level." . "F2A-CS3-DOA3 | Hamburg Population Data" . . . . "RioMar Biologging fish tracks with atlantic bluefin and albacore" . "F2A-CS2-DOA4 | RioMar Biologging fish tracks" . . . . " RioMar Hindcast are multi-year simulations, validated with long-term in-situ high-frequency monitoring networks9,19,20, provide valuable four-dimensional parameters (i.e., horizontal, vertical, and temporal components) of environmental conditions. They are useful: (i) to study the impacts of anthropogenic and climate changes on estuarine physics and ETM dynamics and (ii) to provide abiotic explanatory parameters for biogeochemical and ecological studies." . "F2A-CS2-DOA2 | RioMar Hindcast" . . . . . . . "RiOMar scenario runs RCP4.5 & 8.5 to 2100" . "F2A-CS2-DOA3 | RioMar Scenario runs" . . . . . "RioMar In-situ moorings are data observed from an observation system that is attached to a mooring line anchored to the seabed." . "F2A-CS2-DOA1 | RioMar In-situ moorings" . . . . . "Count of annual hot days over 30 °C in Bremen and Bremerhaven from 1961 until today" . "F2A-CS6-DOA4 | Hot Days" . . . . . . . "Stadtklimaanalyse is a report based on a climate simulation providing climate related variables as maps and recommendations for climate adapation measures. " . "F2A-CS6-DOA3 | Stadtklimaanalyse" . . . . . . . "Heavy precipitation maps for Bremen in three different rain scenarios." . "F2A-CS6-DOA2 | Starkregenkarte" . . . . . . "The climate change adaptation strategy 2025 for Bremen and Bremerhaven." . "F2A-CS6-DOA1 | Klimaanpassungsstrategie 2025" . . . . . . . "Official portal for national statistics on socio-economics." . "F2A-CS4-DOA4 | Statistics Portugal" . . . . . "Network that connects municipalities and partner organizations to support local CCA. Provides resources, trainings and promotes peer learning." . "F2A-CS4-DOA5 | Adapt.local" . . . . . "Peer-reviewed publications that provide data, methodologies or reviews that contribute to advancing knowledge and informing policy." . "F2A-CS4-DOA3 | Research Article" . . . . . "Platform that provides climate information for Portugal Mainland and Islands, offering data and forecasts, for monitoring climate trends." . "F2A-CS4-DOA2 | Portal do Clima" . . . . . "Decree-Law published in the Official Gazette of Portugal." . "F2A-CS4-DOA1 | Policy" . . . . . "Maps about the modelled radioactive tracers" . "F2A-CS1-DOA12 | NorESM model plot" . . . . "Results from coupled simulations of NorESM1-Happi model. This is a slightly modified version of NorESM1-M used for CMIP5 and with 1 degree atmospheric horizontal resolution. \n " . "F2A-CS1-DOA11 | NorESM model output" . . . . . . "NorESM — the Norwegian Earth System Model — is a global climate model developed and maintained by NCC (NorESM Climate modeling Consortium). Development of NorESM began in 2007, including through the climate research project EarthClim. The model has been an important contributor to the WCRP (World Climate Research Programme), as well as reports from the UN Intergovernmental Panel on Climate Change (IPCC).\n NorESM simulates, among other things, wind, temperature, precipitation and cloud cover in the atmosphere; currents, temperature and salinity in the ocean; vegetation on land and moisture and temperature in the soil; and the extent and thickness of snow and ice on land and at sea. The structural composition of NorESM is largely based on the CESM (Community Earth System model), but with an ocean module that is unique to NorESM and a number of distinctive adaptations in the modules for atmosphere, vegetation and cryosphere. (source: https://no.wikipedia.org/wiki/NorESM)" . "F2A-CS1-DOA10 | NorESM Norwegian Earth System Model" . . . . . . "Production of H2O from methane oxidation is prescribed using a climatologies based on simulations with CESM2-WACCM. This source is especially relevant in the stratosphere. These climatologies have a monthly frequency, and a 3-dimensional spatial distribution. They are based on simulations with CESM2-WACCM (Danabasoglu et al., 2019)." . "F2A-CS1-DOA5 | Water vapour emissions" . . . . . . "In atmosphere-only simulations, the sea-surface temperature and sea-ice concentrations are prescribed as monthly varying climatologies. One can use climatologies that are based on observations (Hurrell et al., 2008), or climatologies derived from fully-coupled NorESM2 simulations." . "F2A-CS1-DOA9 | Sea-surface temperature and sea-ice cover" . . . . . . "The solar forcing is provided for radiative properties, namely total solar irradiance (TSI), solar spectral irradiance (SSI), and the F10.7 index." . "F2A-CS1-DOA1 | Solar radiative forcing" . . . . . . "CO2, CH4, N2O, CFC1-eq, CFC12** Green-house concentrations are used in the radiative transfer calculations, and the values are taken from Meinshausen et al. (2017). The prescribed concentrations are assumed to represent the surface concentrations. Latitudinal and species dependent profiles are used to calculate the concentrations at different altitudes." . "F2A-CS1-DOA2 | Green-house concentrations" . . . . . . "Ozone concentration climatologies are used in the radiative transfer calculations. The ozone climatologies used in NorESM2 have a 5-day frequency, vary in height and latitude, but have no longitudinal dependce. They are based on simulations with CESM2-WACCM (Danabasoglu et al., 2019)." . "F2A-CS1-DOA3 | Ozone concentration" . . . . . . "To describe the impact of volcanic SO2 emissions reaching the stratosphere and forming SO4 aerosol, monthly varying climatologies of stratospheric aerosol properties are used." . "F2A-CS1-DOA6 | Stratospheric aerosol" . . . . . . "BC, OM and SO2** Emissions of BC, OM and SO2 consists in contributions from anthropogenic sources, biomass burning, and continuous outgassing of SO2 by volcanoes. The anthropogenic sources (Hoesly et al., 2018) are given as 9 different sectors : emissions of agricultural activity, transport, domestic heating, solvents, waste and shipping are emitted at the surface; emissions from the energy and industrial sectors are emitted between 150 and 350 m height; aircraft emissions can go up to around 15 km. The biomass burning sources (van Marle et al., 2017) are give as 6 different categories, and emission heights differ among them : 0-100 m for agricultural waste burning and peat burning, 0-1 km for savannah burning and deforestation, 0-2 km for temperate forests, and 0-3 km for Boreal forests (Dentener et al., 2006). A fixed climatology of continuous tropospheric outgassing of SO2 by volcanoes is also included (Dentener et al., 2006). Emission inventories provide emission strengths for OC. For fossil fuel combustions we assumed an OM:OC ratio of 1.4, and for biomass burning of 2.6. Part of the SO2 (2.5% equivalent S) is emitted as SO4. Emission fields are provided both on the 1.9x2.5 and 0.9x1.25 horizontal grid." . "F2A-CS1-DOA4 | Emissions of short-lived species" . . . . . . "OH, ozone, NO3-radical, HO2** The oxidant concentrations are used in the description of secondary aerosol formation (sulfate and SOA). OH, ozone, NO3 and H2O2 (formed by HO2) are relevant for the oxidation of DMS, SO2, isoprene, and monoterpenes. These climatologies have a monthly frequency, and a 3-dimensional spatial distribution. They are based on simulations with CESM2-WACCM (Danabasoglu et al., 2019)." . "F2A-CS1-DOA7 | Oxidant concentration" . . . . . . "To describe the emission strength of marine primary organic matter from the ocean, a monthly varying climatology of upper-ocean chlorophyl-a concentration is used." . "F2A-CS1-DOA8 | Upper-ocean POM concentrations" . . . . .