ArticleBulletin of the American Meteorological Society2025
EPA Dynamically Downscaled Ensemble (EDDE): Datasets for Adaptation and Resilience Planning for Environmental Endpoints.
Article in Bulletin of the American Meteorological Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Examining spin-up behaviour within WRF dynamical downscaling applications.Geoscientific model development · 2026Article
- The Environmental Protection Agency (EPA) Dynamically Downscaled Ensemble (EDDE) version 2: A 3D physics-based dataset for projections of future extreme weather events.Data in brief · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
The EPA Dynamically Downscaled Ensemble (EDDE) is a collection of physics-based regional climate model output that projects the impacts of climate change across the United States to support strategic development, adaptation, and resilience planning for a sustainable future. EDDE consists of dynamically downscaled global climate model simulations for the twentieth and twenty-first centuries under various forcing scenarios. The U.S. Environmental Protection Agency began development of EDDE to quantify the effects of climate change on air quality and human health, which required a breadth of data that were not routinely archived or publicly available. EDDE uses the WRF Model to downscale global climate simulations over most of North America. Uniquely among regional climate datasets, the EDDE archive includes hourly, 3D data from continuous simulations of recent historical periods and future years through 2100. EDDE is suitable for exploring regional climate variability and change and its influence on extreme weather events across the United States to quantify potential impacts on environmental endpoints, such as air quality and human health, pollutant deposition to sensitive ecosystems, stormwater management, and phenological indicators important for agriculture. EDDE data were used in the Air Quality chapter of the Fourth National Climate Assessment (NCA4), and the next generation of EDDE is poised for broad use in NCA6. A subset of variables from EDDE is now freely available via the Amazon Web Services Open Data Project. This paper describes the history, evolution, applications, availability, and future of EDDE, alongside the evolving needs of regional climate datasets to support decision-making.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.