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The Resilient Homestead and Livelihood support to the vulnerable coastal people of Bangladesh (RHL) project aims to reduce the vulnerability of approximately 362,475 direct beneficiaries in seven coastal districts. With a total budget of USD 49.99 million, the project focuses on constructing 3,000 climate-resilient houses with raised plinths, establishing 50 micro-crab hatcheries to create a sustainable supply chain, and promoting goat and sheep rearing in slatted houses. The initiative specifically targets women and ultra-poor households to enhance food security and reduce urban migration caused by sea-level rise and salinity intrusion.

The RHL project targets 362,475 direct beneficiaries in the coastal districts of Satkhira, Khulna, Bagerhat, Barguna, Patuakhali, Bhola, and Cox’s Bazar. It focuses on three primary outcomes: reducing asset and life loss through the construction of 3,000 climate-resilient houses with raised plinths; enhancing livelihood resilience by promoting salinity-tolerant vegetable cultivation, goat/sheep rearing in slatted houses, and the establishment of a sustainable, hatchery-based crab supply chain; and improving local climate planning through the formation of 3,200 Climate Change Adaptation Groups (CCAGs). The project is implemented by the Palli Karma-Sahayak Foundation (PKSF) as both the Accredited Entity and Executing Entity, utilizing a blend of GCF grants and PKSF loans.

The document analyzes adaptation planning across 136 large coastal cities, finding that over 50% lack formal plans and most existing policies fail to align with actual climate risks. It introduces the ARPA and APC frameworks to measure policy alignment and credibility, noting a significant gap between planning and implementation. Furthermore, it highlights a critical lack of outcome-based monitoring and evaluation, with 95% of indicators focusing on outputs. The brief argues for the integration of 'subaltern' knowledge to improve the social legitimacy and effectiveness of urban adaptation.

The analysis by Climate Central examines how rising sea levels shift tidal boundaries, potentially converting private taxable land into public land and reducing local government funding for schools and services. By mid-century, over 648,000 tax parcels (up to 4.4 million acres) are projected to be at least partially below tidal boundaries, with Florida, Louisiana, and Texas most affected. By 2100, at least $108 billion in assessed property value is at risk, though the actual total is likely higher due to incomplete data.

The analysis identifies significant risks to the very elderly population in South Jersey, estimating that 11,143 people aged 85 and older live in areas prone to residential flooding during a Sandy-like storm surge. Specifically, 1,853 people in this age group reside in census tracts that could be nearly entirely underwater, including parts of Brigantine, Atlantic City, and Ocean City. The report highlights that some local concentrations of the 85+ population, such as in Ocean City, are significantly higher than the U.S. average of 2%.

The document details the technical approach for modeling the macroeconomic effects of climate change on Canada's GDP, employment, and welfare. Using the gTech model, researchers integrated 13 categories of climate impacts—ranging from agricultural productivity and forestry reductions to infrastructure damages and healthcare spending—across 14 climate scenarios (RCP4.5 and RCP8.5) and three asset growth scenarios. The methodology distinguishes between impacts modeled as productivity changes (e.g., labour and agriculture) and those modeled as direct capital expenditures (e.g., road and building repairs), with the latter scaled based on historical asset appreciation relative to GDP. The report identifies weather-related disasters as the largest determinant of overall macroeconomic impact and notes limitations regarding the deterministic nature of disaster modeling and the exclusion of migration and trade restrictions.

The report finds that all six analyzed historic sites in New Jersey currently face at least occasional flood risk, with four already experiencing chronic risk. Under the RCP scenario of unchecked emissions, all sites are projected to face at least frequent flood risk by 2050 and annual flood risk events by 2080. Specific sites like Barnegat Lighthouse and East Point Lighthouse are projected to experience chronic flood risk by the end of the century, with East Point potentially facing nearly monthly events.

Climate Central's analysis indicates that five historic sites in St. Augustine, Florida—Castillo de San Marcos, Fort Matanzas, Fort Mose, the Lightner Museum, and the Lincolnville District—are all projected to face chronic flood risk by the end of the century. Using the RCP 8.5 emissions scenario, the report finds that several sites already face substantial threats, with some experiencing frequent or chronic risk currently.

The author warns that Canadian investors and infrastructure owners are operating in a world that no longer exists, as the financial risks of a warming climate remain underpriced. Citing a Canadian Climate Institute report, the text highlights that annual flood damage to homes and buildings could reach $4.5 billion to $5.5 billion within 30 years. The document contends that a lack of open-access climate risk data leads to flawed financial analysis and calls for regulators to mandate the disclosure of climate risks to prevent a systemic financial shock.

The report analyzes how SIDS and LDCs are disproportionately vulnerable to coupled ocean risks, including sea-level rise, ocean warming, and macroeconomic shocks. It emphasizes the need for context-specific resilience strategies, the integration of indigenous knowledge, and the deployment of novel financial tools to support a sustainable ocean economy.

CoastalDEM v2.1 is a near-global digital elevation model (DEM) developed by Climate Central to provide more accurate land elevation data for coastal flood risk assessments. By utilizing a sophisticated convolutional neural network trained on NASA's ICESat-2 satellite lidar data, the model corrects the positive vertical bias common in satellite radar-derived DEMs, which often mistake building rooftops for ground level. Testing shows that CoastalDEM v2.1 virtually eliminates global median bias in the critical 0 to 5 m elevation band, significantly outperforming other publicly available global DEMs such as NASADEM, TanDEM-X, MERIT, and AW3D30, particularly in densely populated urban areas.

CoastalDEM v2.1 is a high-resolution global digital elevation model (DEM) designed to improve the accuracy of coastal flood and sea level rise assessments. By employing a convolutional neural network (CNN) trained on NASA's ICESat-2 satellite lidar data and using NASADEM as a base, it significantly reduces the positive vertical bias common in satellite radar DEMs, particularly in densely populated urban areas where buildings often distort elevation readings. Validation against ICESat-2 and airborne lidar data from the US and Australia indicates that CoastalDEM v2.1 outperforms other leading global models like TanDEM-X and MERIT, especially in the critical elevation band below 5 meters.

The project aims to reduce coastal flooding risks in Egypt's North Coast and Nile Delta through the installation of 69 km of sand dune dikes and the development of an integrated coastal zone management plan. Co-financed by the Green Climate Fund (USD 31.4 million) and the Egyptian Ministry of Water Resources and Irrigation (USD 73.8 million), the initiative targets direct benefits for 768,164 people. Implementation involves multiple Egyptian ministries and the UNDP as the Accredited Entity, while the Egyptian Environmental Affairs Agency serves as the National Designated Authority.

The report uses surveys and workshops with stakeholders in Dakar to assess how climate change risks are perceived and which adaptation strategies are most acceptable. It finds that while risks are seen as immediate, climate change is a low political priority compared to public services and health. Stakeholders prefer nature-based solutions and risk governance over hard infrastructure, though administrative and financial constraints are seen as major barriers to implementation.

The document identifies a critical gap in U.S. federal regulations regarding 'natech' (natural hazard-induced technological) disasters, where climate-driven events like floods and wildfires trigger catastrophic chemical releases. Analysis shows that approximately one-third of the 12,331 RMP-regulated facilities in the U.S. face increasing risks from climate change. The authors highlight severe environmental justice disparities, noting that people of color are disproportionately located near these facilities and that facilities in communities of color are nearly twice as likely to experience disasters. The brief proposes seven key reforms for the EPA, including mandatory natech risk assessments, real-time fenceline monitoring, expanded RMP coverage, and enhanced community emergency response planning.

The report assesses coastal risks in the Dakar region, specifically within the departments of Dakar, Pikine, and Guédiawaye. It identifies high-risk areas for flooding, such as the canal of Ngor and the Port of Dakar, and high-risk areas for erosion, including the beach of Hanika. Projections indicate that without adaptation, the population at risk of coastal flooding will increase by 20-30% by 2050 and over 80% by 2100. Economic damages to buildings are expected to rise by 30% by 2050 and up to 180% by 2100 under the worst-case scenario.

The 'Climate and Society Game' is a training tool that uses role-play to help participants understand the intersection of social identity and climate risk. Set in the fictional Indian neighbourhood of Krishna Nagar, the game asks participants to adopt character cards—representing diverse identities such as a transgender woman, an elderly grandmother, and a pastoralist—to simulate consultations on coastal flooding and resilience planning. The exercise aims to highlight barriers to participation and foster more equitable climate action.

The fact sheet explains the structure of revolving loan funds (RLFs) as self-replenishing financing tools that lower financial barriers for environmental improvements. It highlights the Maryland Shore Erosion Control (SEC) RLF, which shifted from 'hard armor' to 'living shoreline' projects, and a feasibility study for a similar RLF in Puget Sound, Washington, aimed at armor removal and structure relocation to combat sea level rise and erosion.

The document examines urban flood challenges in five Sub-Saharan cities, highlighting the transition from traditional grey infrastructure to Integrated Flood Risk Management (IFRM) and Ecosystem-based Adaptation (EbA). It details specific interventions across Accra, Cape Town, Durban, Nairobi, and Mombasa, emphasizing that effective flood governance requires multi-stakeholder collaboration and the integration of social principles to protect vulnerable populations in informal settlements.

The document reports that Florida's affordable housing stock is the 5th most vulnerable in the United States to future coastal flooding. By 2050, 963 units (0.8% of the state's stock) are projected to face at least annual threats, representing a 774% increase from 2000. Specific high-risk areas include Miami Beach, Marathon, and Ft. Lauderdale, with Miami Beach ranked 11th nationwide for units at risk. The analysis notes that affordable housing is particularly vulnerable because it is often older, of poorer quality, and lacks resilience features like flood-proofing.