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The Consumption Compass is a free Excel-based tool launched in April 2022 by the Stockholm Environment Institute to provide consumption-based greenhouse gas emissions estimates (CO2e) at the municipal and postcode levels for all municipalities in Sweden.

This briefing by the Stockholm Environment Institute describes a non-parametric statistical downscaling methodology using the k-nearest neighbors (k-NN) method to generate synthetic regional climate series for temperature and precipitation between 2020 and 2100. These series are designed to inform the Water Evaluation and Planning (WEAP) system to help water service providers and environmental agencies develop robust adaptation alternatives and vulnerability analyses for water systems.

This policy brief describes the CARibbean Weather Impacts Group (CARIWIG) project, which provides downscaled climate data and simulation tools to help Caribbean governments integrate climate change considerations into planning and investment to build resilience.

This policy brief by the Stockholm Environment Institute outlines recommendations to improve the use of climate science for 'anticipatory adaptation' in Africa. It emphasizes the need to bridge the gap between climate scientists and decision-makers, enhance local technical capacity for downscaling climate models, and leverage existing regional networks and platforms to manage climate change risks.

This fact sheet describes weADAPT, a collaborative platform launched in June 2007 to support climate adaptation through knowledge sharing, innovative tools, and data. The initiative is funded by UNEP and UNITAR and involves a network of partners including the Stockholm Environment Institute and the University of Cape Town.

This guide, published by the Stockholm Environment Institute in June 2013, provides a step-by-step methodology for using the weADAPT platform and the Climate Information Portal (CIP) to access and apply climate data for adaptation planning and policy-making. It emphasizes that adaptation is a socio-institutional learning process rather than a purely technical exercise. The document includes a detailed case study in the Philippi suburb of Cape Town, South Africa, to demonstrate how historical data and future projections (using RCP 4.5 and RCP 8.5 scenarios) can inform land-use decisions, specifically regarding the tension between maintaining vegetable production and developing low-cost housing.