Search Climate Insights Directory

This executive summary describes a project aimed at quantifying how inland activities and climate change impact coastal resources in several Caribbean island nations. The project utilizes hydrological modeling of 84 catchments to analyze the flow of water, sediments, and contaminants to coastal ecosystems to support sustainable management and restoration.

This guide, published by the Stockholm Environment Institute in collaboration with the Comisión de Regulación de Agua Potable y Saneamiento Básico (CRA), provides a methodological framework for water utility companies to evaluate investments aimed at ensuring the continuity and coverage of aqueduct services. It emphasizes a comparative analysis between 'grey' infrastructure, demand management, and 'green' environmental investments (restoration and conservation) to manage the gap between water supply and demand, particularly during dry seasons.

This technical note describes the Aqueduct 3.0 water risk framework, which aggregates 13 indicators—covering quantity, quality, and reputational risks—into a composite overall water risk score to help decision-makers identify high-risk regions or assets.

The paper introduces EconWEAP, a model integrating the State Wide Economic Agricultural Production Model (SWAP) and the Water Evaluation and Planning (WEAP) system to analyze the economic and hydrological impacts of climate change on water resource allocations.

The 'Ríos del Páramo al Valle' program (2012-2015), implemented by the Stockholm Environment Institute (SEI) and funded by USAID, aimed to build climate adaptation capacity in Colombian water resources planning. The project deployed a Robust Decision Support (RDS) framework using the Water Evaluation And Planning (WEAP) system across several watersheds to help regional environmental authorities (CARs) integrate climate uncertainty into their planning instruments.

The report "RÍOS DEL PÁRAMO AL VALLE, POR URBES Y CAMPIÑAS" documents a project implemented between 2012 and 2015 by the Stockholm Environment Institute (SEI) with USAID support. The project aimed to strengthen the capacity of Colombian regional environmental authorities (CAR) to integrate climate change adaptation into water resource planning using the Robust Decision Support (ADR) methodology and the Water Evaluation and Planning (WEAP) system. The work focused on several key basins, including the Otún, La Vieja, and Alto Magdalena rivers, as well as the broader Magdalena-Cauca macro-basin, demonstrating how technical modeling and participatory processes can reduce climate vulnerability and inform national policy.

This fact sheet describes the implementation of the Water Evaluation and Planning (WEAP) model, integrated with QUAL2K, to study water quality in the La Vieja river basin in Colombia. The study identifies primary pollutant sources, analyzes climate and demographic uncertainties, and simulates water quality scenarios to support decision-making and adaptation to climate change.

This research paper describes the application of a robust decision-making under uncertainty framework, utilizing the XLRM assessment framework and the Water Evaluation And Planning (WEAP) system, to manage water resources in a moorland ecosystem in Piura, Peru, amidst climate variability.

This fact sheet describes a $1.5 million project (2012-2015) funded by USAID and implemented by the Stockholm Environment Institute (SEI) to enhance climate adaptation capacity in Colombia's water resources planning. The initiative focuses on the coffee-growing region and the Magdalena-Cauca basin, utilizing the Water Evaluation and Planning (WEAP) model to support local Corporaciones Autónomas Regionales (CARs) in managing water allocation and ecosystem health under climate uncertainty.

This fact sheet describes the hydrological modeling of the La Vieja river basin in Colombia using the Water Evaluation and Planning (WEAP) tool. The project, funded by USAID and running from July 2012 to June 2015, aimed to strengthen societal adaptation to climate change in the management of water resources in the Otún and La Vieja river basins.

This technical note by the World Resources Institute describes the development of a baseline water risk model for Ethiopia, using 2015 as a baseline. The model provides subbasin-level estimates of water withdrawal and consumption across irrigation, livestock, domestic, and industrial sectors, combined with 36 years of remotely-sensed renewable water resources data to identify water stress and variability.

This working paper details the methodology for creating the Aqueduct Water Risk Atlas, a global database and interactive tool designed to translate complex hydrological data into intuitive water-related risk indicators for decision-makers.

This technical note introduces Aqueduct 4.0, a water risk framework by the World Resources Institute (WRI) that translates complex hydrological data into 13 indicators of global water risk. The framework utilizes the PCR-GLOBWB 2 model to analyze current conditions and project future water supply and demand across various climate scenarios for 2030, 2050, and 2080.