Checking for non-preferred file/folder path names (may take a long time depending on the number of files/folders) ...
This resource contains some files/folders that have non-preferred characters in their name. Show non-conforming files/folders.
This resource contains content types with files that need to be updated to match with metadata changes. Show content type files that need updating.
| Authors: |
|
|
|---|---|---|
| Owners: |
|
This resource does not have an owner who is an active HydroShare user. Contact CUAHSI (help@cuahsi.org) to determine if accessing this resource is possible. |
| Type: | Resource | |
| Storage: | The size of this resource is 13.8 GB | |
| Created: | Oct 11, 2025 at 10:14 p.m. (UTC) | |
| Last updated: | Dec 10, 2025 at 4:25 p.m. (UTC) | |
| Citation: | See how to cite this resource |
| Sharing Status: | Private (Accessible via direct link sharing) |
|---|---|
| Views: | 316 |
| Downloads: | 14 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
Abstract
This dataset provides long-term annual actual evapotranspiration (AET) estimates under current land cover (S0) and five land cover transformation scenarios (S1–S5). The scenarios encompass extreme and moderate deforestation, as well as low, moderate, and extreme afforestation. The AET layers quantify how land cover change modifies evapotranspiration patterns across Europe. All AET datasets represent the average annual period from 1991 to 2020. AET was estimated using a Budyko-based framework calibrated with lysimeter observations. Precipitation, potential evapotranspiration, and land cover classes, used to derive the Budyko parameter (ω*) through calibration, served as the primary inputs for computing AET using the Turc–Pike and Fu equations. The mean of these two formulations was combined with Copernicus land cover fractions to account for mixed land cover composition within grid cells. For afforestation scenarios, Budyko-derived AET estimates were further adjusted using Total Tree Potential to represent feasible increases in tree cover. Grid cells classified as “water” in the land cover dataset were excluded from AET computations. This product is intended to support hydrological modelling, climate–land–water assessments, groundwater planning, and environmental analyses. All files are delivered in GeoTIFF (float32) format at a spatial resolution of 100 × 100 m. The dataset uses the ETRS89 / LAEA Europe projection (EPSG: 3035).
● The data repository includes a README.pdf file that describes the dataset collection and lists all raster products.
● Further methodological details are provided in Nabaei et al. (2026) and in the Appendices of the associated publication.
________________________________________________________________________________________________________________________________________________________________________________
● How to cite:
Nabaei, S., Ali, A.M., & Teuling, A.J. (2026). Impact of Forest Cover on Groundwater Recharge: A High-Resolution Scenario Analysis for Europe. Global Environmental Change, XX, XXXXXX. https://doi.org/10.1016/j.gloenvcha.2026.XXXXXX
________________________________________________________________________________________________________________________________________________________________________________
Subject Keywords
Coverage
Spatial
Temporal
| Start Date: | |
|---|---|
| End Date: |
Content
Related Resources
| The content of this resource is derived from | Pan-European Land Cover Scenarios (100 m): http://www.hydroshare.org/resource/125d6d07001a45d69a23f9550d593f13 |
| This resource is referenced by | Pan-European Groundwater Recharge (100 m): http://www.hydroshare.org/resource/1ff5b54981484d878aa7a4094c689fcb |
How to Cite
This resource is shared under the Creative Commons Attribution-NoCommercial CC BY-NC.
http://creativecommons.org/licenses/by-nc/4.0/
Comments
There are currently no comments
New Comment