Environmental Research Letters (IOP)
Academic & Scientific
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Mission
Environmental Research Letters covers all of environmental science, providing a coherent and integrated approach including research articles, perspectives and review articles.
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The Sendai Framework Voluntary Commitments (SFVC) online platform allows stakeholders to inform the public about their work on DRR. The SFVC online platform is a useful toolto know who is doing what and where for the implementation of the Sendai Framework, which could foster potential collaboration among stakeholders. All stakeholders (private sector, civil society organizations, academia, media, local governments, etc.) working on DRR can submit their commitments and report on their progress and deliverables.
Items: 21
In this study, the authors provide insights into the missing data, highlighting the importance of data quality control to account for bias.
This research letter investigates stakeholders' needs with regard to fire risk reduction in the Veluwe area in the Netherlands.
This article provides a methodology to estimate possible extreme changes in seasonal rainfall for the coming decades. It demonstrates this methodology using Indian summer monsoon rainfall as an example.
This research highlights that increases in burned forest area across the western United States and southwestern Canada over the last several decades have been partially driven by a rise in vapor pressure deficit (VPD).
This paper investigates the long-term (2070–2099) potential impacts of climate change on global food trade networks of three key crops: wheat, rice and maize.
In this study, the researchers propose a novel data-driven inverse modelling approach to inform decision makers and grid operators on planning rotating power outages.
This paper analyzes and compares the impacts of multiple types of extreme events across several domains in Europe, to reveal corresponding impact signatures.
This study provides perspective on projected changes in extreme ocean waves by quantifying change in high-frequency extreme wave events over relevant time horizons using a multi-index approach and a large multi-method multi-model ensemble.