---
title: "ERA5 reanalysis: research papers using this data"
description: "From Nov 2023 to Oct 2026, 100 archived papers mentioned ERA5 reanalysis in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2026 (8)."
url: https://scholar4ai.com/datasets/era5-reanalysis
markdown_url: https://scholar4ai.com/datasets/era5-reanalysis.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "From Nov 2023 to Oct 2026, 100 archived papers mentioned ERA5 reanalysis in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2026 (8). (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# ERA5 reanalysis

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/2.md)

Weather observations, climate reanalyses and projections, and disaster records.

- data category: Weather, climate and disaster data
- 0 papers in the last 7 days
- Names searched for: ERA5

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Weather, climate and disaster data datasets: https://scholar4ai.com/datasets/weather-climate-and-disaster-data.md



## Key findings

- From Nov 2023 to Oct 2026, 100 archived papers mentioned ERA5 reanalysis in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Aug 2026 (8).
- ERA5 reanalysis was mentioned in 2 papers in the last 30 days (2026-10-07 to 2026-11-05), ranking #127 of the 246 datasets mentioned.
- By journal category: Finance (1) and Economics (1).
- Most of them appeared in Finance research letters (1) and Energy Economics (1).
- From 2017 to 2026 (so far), ERA5 reanalysis was mentioned in 107 papers in the tracked journals, most of them in economics (49), AI (33) and operations research (13).
- 28 of them were published in 2025, against 0 in 2017.
- Since 2023, the institutions with the most of these papers were Ca' Foscari University of Venice (5), University of Bologna (5) and CMCC Foundation - Euro-Mediterranean Center on Climate Change (4).
- The journals publishing most of them were Journal of Environmental Economics and Management (8), Energy Economics (6) and Environmental and Resource Economics (5).
- The most-cited of them is “A generative adversarial network approach to (ensemble) weather prediction” (Neural Networks, 2021), with 118 citations.
- Papers use ERA5 reanalysis most often with Sentinel / Copernicus (42), CMIP climate projections (14) and Eurostat (13); it has 15 partners in the code and data network, in the group around World Development…, Eurostat, International Energy….

## Mentions over 36 months

*Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)*

| Trend | Nov 23–Oct 24 | Nov 24–Oct 25 | Nov 25–Oct 26 | 36 months |
|---|---:|---:|---:|---:|
|  | 24 | 23 | 53 | 100 |

## Papers per year

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [Economics](https://scholar4ai.com/categories/economics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 10 | 14 | 23 |
| [AI](https://scholar4ai.com/categories/ai.md) | 0 | 0 | 0 | 0 | 1 | 2 | 4 | 7 | 7 | 12 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 7 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 |
| [Finance](https://scholar4ai.com/categories/finance.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 |
| [Management](https://scholar4ai.com/categories/management.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 |
| [Information Systems](https://scholar4ai.com/categories/information-systems.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| All categories | 0 | 0 | 0 | 0 | 1 | 3 | 7 | 22 | 28 | 46 |

## Where the papers come from

*Journals with the most papers, since 2023*

| # | Journal | Papers |
|---:|---|---:|
| 1 | [Journal of Environmental Economics and Management](https://scholar4ai.com/journals/journal-of-environmental-economics-and-management.md) | 8 |
| 2 | [Energy Economics](https://scholar4ai.com/journals/energy-economics.md) | 6 |
| 3 | [Environmental and Resource Economics](https://scholar4ai.com/journals/environmental-and-resource-economics.md) | 5 |
| 4 | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 4 |
| 5 | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 4 |
| 6 | [Neural Computing and Applications](https://scholar4ai.com/journals/neural-computing-and-applications.md) | 4 |
| 7 | [Economics of Disasters and Climate Change](https://scholar4ai.com/journals/economics-of-disasters-and-climate-change.md) | 4 |
| 8 | [Energy Policy](https://scholar4ai.com/journals/energy-policy.md) | 3 |
| 9 | [Ecological Economics](https://scholar4ai.com/journals/ecological-economics.md) | 3 |
| 10 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 3 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | Ca' Foscari University of Venice | 5 |
| 2 | [University of Bologna](https://scholar4ai.com/institutions/university-of-bologna.md) | 5 |
| 3 | CMCC Foundation - Euro-Mediterranean Center on Climate Change | 4 |
| 4 | RFF-CMCC European Institute on Economics and the Environment | 4 |
| 5 | [Centre for Economic Policy Research](https://scholar4ai.com/institutions/centre-for-economic-policy-research.md) | 3 |
| 6 | [ETH Zurich](https://scholar4ai.com/institutions/eth-zurich.md) | 3 |
| 7 | [IZA - Institute of Labor Economics](https://scholar4ai.com/institutions/iza-institute-of-labor-economics.md) | 3 |
| 8 | [London School of Economics and Political Science](https://scholar4ai.com/institutions/london-school-of-economics-and-political-science.md) | 3 |
| 9 | Universidad de Alcalá | 3 |
| 10 | University of Bern | 3 |

*Countries with the most papers, since 2023*

| # | Country | Papers |
|---:|---|---:|
| 1 | China | 21 |
| 2 | Italy | 20 |
| 3 | United Kingdom | 19 |
| 4 | United States | 18 |
| 5 | Germany | 12 |
| 6 | Spain | 9 |
| 7 | Australia | 6 |
| 8 | France | 6 |
| 9 | Hong Kong | 6 |
| 10 | Switzerland | 5 |

*Keywords with the most papers, since 2023*

| # | Keyword | Papers |
|---:|---|---:|
| 1 | ERA5 reanalysis | 15 |
| 2 | [climate change adaptation](https://scholar4ai.com/keywords/climate-change-adaptation.md) | 7 |
| 3 | [air pollution](https://scholar4ai.com/keywords/air-pollution.md) | 6 |
| 4 | [climate risk](https://scholar4ai.com/keywords/climate-risk.md) | 6 |
| 5 | weather forecasting | 5 |
| 6 | [climate change](https://scholar4ai.com/keywords/climate-change.md) | 4 |
| 7 | climate resilience | 4 |
| 8 | wind speed | 4 |
| 9 | CERRA | 3 |
| 10 | climate change impacts | 3 |

## Most-cited papers

*Most-cited papers since 2017*

| # | Citations | Per month | Title | Journal | Published | Authors |
|---:|---:|---:|---|---|---|---|
| 1 | 118 | 1.7 | [A generative adversarial network approach to (ensemble) weather prediction](https://doi.org/10.1016/j.neunet.2021.02.003) | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 2021-02-21 | Alexander Bihlo |
| 2 | 61 | 2.0 | [Development and trending of deep learning methods for wind power predictions](https://doi.org/10.1007/s10462-024-10728-z) | [Artificial Intelligence Review](https://scholar4ai.com/journals/artificial-intelligence-review.md) | 2024-04-05 | Hong Liu, Zijun Zhang |
| 3 | 37 | 1.6 | [Precipitation nowcasting with generative diffusion models](https://doi.org/10.1007/s10489-024-06048-y) | [Applied Intelligence](https://scholar4ai.com/journals/applied-intelligence.md) | 2024-12-19 | Andrea Asperti, Fabio Merizzi, Alberto Paparella et al. |
| 4 | 34 | 1.0 | [Deep graphical regression for jointly moderate and extreme Australian wildfires](https://doi.org/10.1016/j.spasta.2024.100811) | [Spatial Statistics](https://scholar4ai.com/journals/spatial-statistics.md) | 2024-01-17 | Daniela Cisneros, Jordan Richards, Ashok Dahal et al. |
| 5 | 31 | 1.2 | [A near real-time carbon accounting framework for the decarbonization of maritime transport](https://doi.org/10.1016/j.tre.2024.103724) | [Transportation Research Part E Logistics and Transportation Review](https://scholar4ai.com/journals/transportation-research-part-e-logistics-and-transportation-review.md) | 2024-08-29 | Zhijun Li, Jiangang Fei, Yuquan Du et al. |

## Used together with

Papers use ERA5 reanalysis most often with Sentinel / Copernicus (42), CMIP climate projections (14) and Eurostat (13); it has 15 partners in the code and data network, in the group around World Development…, Eurostat, International Energy….

*What papers use ERA5 reanalysis together with (at least 3 papers; lift 1 = chance)*

| Used with | Type | Papers using both | Lift |
|---|---|---:|---:|
| [Sentinel / Copernicus](https://scholar4ai.com/datasets/sentinel-copernicus.md) | Dataset | 42 | 68.0 |
| [CMIP climate projections](https://scholar4ai.com/datasets/cmip-climate-projections.md) | Dataset | 14 | 75.4 |
| [Eurostat](https://scholar4ai.com/datasets/eurostat.md) | Dataset | 13 | 4.0 |
| [NOAA](https://scholar4ai.com/datasets/noaa.md) | Dataset | 12 | 23.2 |
| [MODIS](https://scholar4ai.com/datasets/modis.md) | Dataset | 10 | 11.0 |
| [Wind](https://scholar4ai.com/datasets/wind.md) | Dataset | 9 | 24.7 |
| [International Energy Agency (IEA)](https://scholar4ai.com/datasets/international-energy-agency-iea.md) | Dataset | 6 | 2.9 |
| [Landsat](https://scholar4ai.com/datasets/landsat.md) | Dataset | 5 | 11.9 |
| [CRU climate data](https://scholar4ai.com/datasets/cru-climate-data.md) | Dataset | 4 | 57.7 |
| [Google Earth Engine](https://scholar4ai.com/datasets/google-earth-engine.md) | Dataset | 4 | 38.0 |
| [Twitter / X](https://scholar4ai.com/datasets/twitter-x.md) | Dataset | 4 | 0.4 |
| [EM-DAT disaster database](https://scholar4ai.com/datasets/em-dat-disaster-database.md) | Dataset | 3 | 16.6 |

The whole network: https://scholar4ai.com/code/network.md

## Papers

*Papers mentioning ERA5 reanalysis in the last 30 days, newest first.*

| Date | Title | Journal | Authors | Affiliations |
|---|---|---|---|---|
| 2026-10-08 | [Forecasting the S&P 500 materials volatility via the dual climate risk: A hybrid machine learning approach](https://doi.org/10.1016/j.frl.2026.110887) | [Finance research letters](https://scholar4ai.com/journals/finance-research-letters.md) | Jinzuo He, Chi Xie, Weiyiqing Wang et al. | Hunan University |
| 2026-10-08 | [Cross-border risk co-movement and multidimensional network resilience in global clean energy markets: Evidence from a higher-order downside co-movement network](https://doi.org/10.1016/j.eneco.2026.109626) | [Energy Economics](https://scholar4ai.com/journals/energy-economics.md) | Yaoxun Deng, LAI Yongzeng, Tianlei Zhu et al. | Hunan Normal University; Wilfrid Laurier University; Beijing Jiaotong University |

## Cite this page

Scholar4AI. (2026). ERA5 reanalysis. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/era5-reanalysis

```bibtex
@misc{scholar4ai-datasets-era5-reanalysis,
  author = {{Scholar4AI}},
  title = {ERA5 reanalysis},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/era5-reanalysis}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).