Forecasts (2026) ERA5-Land Reanalysis
⚠️ Warning: This summary was generated from the abstract only, as the full text was not available.
Identification
- Journal: Climateverse
- Year: 2026
- Date: 2026-02-18
- Authors: European Centre for Medium-Range Weather Forecasts
- DOI: 10.71646/b5u9fm
Research Groups
European Centre for Medium-Range Weather Forecasts (ECMWF) on behalf of the Copernicus Programme
Short Summary
This paper describes ERA5-Land, a high-resolution global land surface reanalysis dataset, detailing its spatial and temporal coverage, variable content, and applications for environmental monitoring.
Objective
- To introduce and characterize the ERA5-Land high-resolution global land surface reanalysis dataset.
Study Configuration
- Spatial Scale: Global coverage with a grid spacing of approximately 9 km (0.1°).
- Temporal Scale: Hourly estimates from 1950 to near real-time (5-day lag).
Methodology and Data
- Models used: ERA5-Land reanalysis system.
- Data sources: Reanalysis product (ERA5-Land dataset itself is the subject of description, generated by integrating model simulations and observations).
Main Results
- ERA5-Land provides hourly estimates for over 50 land surface variables, including temperature, soil moisture, snow, precipitation, radiation, evapotranspiration, and wind.
- The dataset covers the globe at a spatial resolution of approximately 9 km and extends from 1950 to near real-time.
- It is identified as a crucial resource for applications such as heatwave analysis, soil moisture monitoring, and drought assessment, with specific utility noted for South Asia.
Contributions
- Provides a detailed description of the ERA5-Land dataset, a high-resolution and comprehensive resource for land surface studies.
- Highlights the dataset's utility for various environmental monitoring and climate impact assessment applications.
Funding
- Copernicus Programme (implied by licensing requirements).
Citation
@article{Forecasts2026ERA5Land,
author = {Forecasts, European Centre for Medium-Range Weather},
title = {ERA5-Land Reanalysis},
journal = {Climateverse},
year = {2026},
doi = {10.71646/b5u9fm},
url = {https://doi.org/10.71646/b5u9fm}
}
Original Source: https://doi.org/10.71646/b5u9fm