Processed dust emission data and code for "Beyond the horizon: long-term benefits of vegetation restoration for dust mitigation in Eastern Asia"
[How to name and use data files] The dataset includes two main components: data and code. The dust emission data consists of both historical data and projections under CMIP6 scenarios. The dust data is provided as yearly data (i.e., springtime-mean values). Each data file is accompanied by a corresp...
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| Tipo de recurso: | conjunto de datos |
| Fecha de publicación: | 2026 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/424863 |
| Acceso en línea: | http://hdl.handle.net/10261/424863 |
| Access Level: | acceso abierto |
| Palabra clave: | Atmosphere Terrestrial Surface Vegetation restoration Dust Dust emission Winds East Asia CMIP6 project Historical |
| Sumario: | [How to name and use data files] The dataset includes two main components: data and code. The dust emission data consists of both historical data and projections under CMIP6 scenarios. The dust data is provided as yearly data (i.e., springtime-mean values). Each data file is accompanied by a corresponding README file that provides detailed descriptions and explanations of the dataset and its contents. Dust Emission Data: Historical Data: Dust emissions from 1982 to 2023 under observed conditions. CMIP6 Scenario Data: Dust emissions projections for the future, based on three Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP5-8.5). Data are provided in yearly time resolution, with springtime-mean values included. Code: Scripts for replicating the analysis and visualizing the results. |
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