Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/338820COMPARTIR / EXPORTAR:
 SHARE
BASE
|
|
| Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
| Título: | Regional Sea-level Budget from 1993-2016 [Dataset] |
Autor: | Camargo, Carolina M. L.; Riva, Riccardo; Hermans, Tim H. J.; Schütt, Eike M.; Marcos, Marta CSIC ORCID; Hernández Carrasco, Ismael CSIC ORCID; Slangen, Aimée B. A. | Palabras clave: | Sea-level changes Altimetry Sea-level budget Self-organising maps Delta-maps |
Fecha de publicación: | 18-ago-2022 | Editor: | Zenodo | Citación: | Camargo, Carolina M. L.; Riva, Riccardo; Hermans, Tim H. J.; Schütt, Eike M.; Marcos, Marta; Hernández Carrasco, Ismael; Slangen, Aimée B. A.; 2022; Regional Sea-level Budget from 1993-2016 [Dataset]; Zenodo; Version 1.0; https://doi.org/10.5281/zenodo.7007331 | Resumen: | This repository contains supporting data for Camargo et al.: 'Regionalizing Sea-level Budget with Machine Learning Techniques', Ocean Sciences (2022, submited). | Descripción: | This repository contains the following files: budget_components_ENS.nc. Regional (1x1 degree) trend, uncertainty and time series of the ensemble mean of each of the budget components: total sea-level change (from altimetry) and the drivers (steric, GRD and dynamic). If required the individual data sets used for the ensemble, please contact the author. -- masks.nc: netcdf containing land-ocean mask, as well as the domains maps (SOM and delta-MAPS). We refer to the manuscript for more information of how the regional domains were acquired. -- dmaps_trend.pkl (and .xlsx): Trend and uncertainties of each of the budget components for each delta-MAPS domains. Available as an excel table (.xlsx) and as pickle file (.pkl). -- som_trend.pkl (and .xlsx): Trend and uncertainties of each of the budget components for each SOM domains. Available as an excel table (.xlsx) and as pickle file (.pkl) | Versión del editor: | https://doi.org/10.5281/zenodo.7007331 | URI: | http://hdl.handle.net/10261/338820 | DOI: | 10.5281/zenodo.7007331 | Referencias: | Camargo, Carolina M. L.; Riva, Riccardo; Hermans, Tim H. J.; Schütt, Eike M.; Marcos, Marta; Hernández Carrasco, Ismael; Slangen, Aimée B. A. Regionalizing the sea-level budget with machine learning techniques. https://doi.org/10.5194/os-19-17-2023. https://doi.org/10.5194/os-19-17-2023 |
| Aparece en las colecciones: | (IMEDEA) Conjuntos de datos |
Ficheros en este ítem:
| Fichero | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
| budget_components_ENS.nc | 587,28 MB | Mastercam Numerical Control File | Visualizar/Abrir | |
| dmaps_trends.pkl | 14,35 kB | Python pickle | Visualizar/Abrir | |
| dmaps_trends.xlsx | 23,28 kB | Microsoft Excel XML | Visualizar/Abrir | |
| masks.nc | 1,54 MB | Mastercam Numerical Control File | Visualizar/Abrir | |
| SOM_trends.pkl | 3,48 kB | Python pickles | Visualizar/Abrir | |
| SOM_trends.xlsx | 8,47 kB | Microsoft Excel XML | Visualizar/Abrir | |
| README.txt | 1,68 kB | Text | Visualizar/Abrir |
CORE Recommender
Page view(s)
31
checked on 28-abr-2024
Download(s)
29
checked on 28-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
Este item está licenciado bajo una Licencia Creative Commons
