14-year WRF simulation of wind resources over Ecuador's mainland and the Galapagos Islands

doi:10.26050/WDCC/WRF_WIND_14yrs

Tapia, Mariela

ExperimentDOI
Summary
The wind dataset was produced using the Weather Research and Forecasting (WRF) model, version 4.0.2. The model spatial configuration comprises one outer coarse-resolution domain at 9 km (d01) and two nested domains at 3 km (d02 and d03) horizontal spatial gridding. The domains d02 and d03 cover the Galapagos Islands and Ecuador’s mainland, respectively. The physics parametrization schemes follow the model configuration used for the production of the New European Wind Atlas (NEWA). The initial and boundary conditions for the WRF simulations were obtained from ERA5 reanalysis data. The simulations were performed month by month for the 14-year period. Each month was split into four runs and a 24-hour spin-up period was added at the beginning of each run. The post-processing of the WRF simulations follows the procedure described in Dörenkämper et al. (2020).
The data provided here comprises hourly values from 00:00 UTC 01-01-2005 to 23:00 UTC 31-12-2018 of wind speed, wind direction and wind power density at seven vertical levels (30, 40, 50, 60, 70, 80, and 100 m above ground level).

Note:
The NetCDF files of this dataset were packed to reduce the data volume. To unpack the packed variables, please use the operator "unpack" in CDO.

Acknowledgements:
Thanks to Jonathan Chu, Martin Dörenkämper, and the NEWA team for their assistance on the configuration of the WRF model. Thanks to the High-Performance Computing Team from the University of Oldenburg for their computing facilities.
Project
WRF_WIND_EC (Mesoscale modeling of wind resources over Ecuador using WRF)
Contact
Dr. Mariela Tapia (
 mariela.tapia@nulluni-bremen.de
0000-0003-3086-6078)
Location(s)
Ecuador
Spatial Coverage
Longitude -91.99 to -75.01 Latitude -5.18 to 1.68
Temporal Coverage
2005-01-01 to 2018-12-31
Use constraints
Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/)
Data Catalog
World Data Center for Climate
Size
370.25 GiB (397549836078 Byte)
Format
NetCDF
Status
completely archived
Creation Date
Future Review Date
2035-02-21
Cite as
Tapia, Mariela (2025). 14-year WRF simulation of wind resources over Ecuador's mainland and the Galapagos Islands. World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/WRF_WIND_14yrs

BibTeX RIS
Description
Summary:
Findable: 6 of 7 level;
Accessible: 2 of 3 level;
Interoperable: 3 of 4 level;
Reusable: 5 of 10 level
Method
F-UJI online v3.4.0 automated
Method Description
Checks performed by WDCC. Metrics documentation: https://doi.org/10.5281/zenodo.4081213 Metric Version: metrics_v0.5
Result Date
2025-03-11
Result Date
2025-02-28
Description
1. Number of data sets is correct and > 0: passed;
2. Size of every data set is > 0: passed;
3. The data sets and corresponding metadata are accessible: passed;
4. The data sizes are controlled and correct: passed;
5. The spatial-temporal coverage description (metadata) is consistent to the data: passed;
6. The format is correct: passed;
7. Variable description and data are consistent: passed
Method
WDCC-TQA checklist
Method Description
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1
Method Url
Result Date
2025-02-28
Contact typePersonORCIDOrganization

Is referenced by

[1] Kock, Sven; Tapia, Mariela; Varela, Christopher; Schirmer, Matthias. (2024). Spatio-temporal evaluation of green hydrogen production in Ecuador. https://nbn-resolving.org/urn:nbn:de:0168-ssoar-99545-0

Is documented by

[1] DOI Dörenkämper, Martin; Olsen, Bjarke T.; Witha, Björn; Hahmann, Andrea N.; Davis, Neil N.; Barcons, Jordi; Ezber, Yasemin; García-Bustamante, Elena; González-Rouco, J. Fidel; Navarro, Jorge; Sastre-Marugán, Mariano; Sīle, Tija; Trei, Wilke; Žagar, Mark; Badger, Jake; Gottschall, Julia; Sanz Rodrigo, Javier; Mann, Jakob. (2020). The Making of the New European Wind Atlas – Part 2: Production and evaluation. doi:10.5194/gmd-13-5079-2020
[2] Tapia, Mariela. (2023). Variability analysis of renewable power generation in complex terrain and the contribution of the spatio-temporal synergies for a resilient power supply. Methodology development and Ecuador case study. https://doi.org/10.26092/elib/2780

Is compiled by

[1] DOI Skamarock, W. C; Klemp, J. B. ; Dudhia, J.; Gill, D. O.; Liu, Z., Berner, J.; Wang, W.; Powers, J. G.; Duda, M. G.; Barker, D. M.; Huang, X.-Y. (2019). A Description of the Advanced Research WRF Model Version 4. doi:10.5065/1dfh-6p97

Is derived from

[1] DOI Hersbach, Hans; Bell, Bill; Berrisford, Paul; Hirahara, Shoji; Horányi, András; Muñoz‐Sabater, Joaquín; Nicolas, Julien; Peubey, Carole; Radu, Raluca; Schepers, Dinand; Simmons, Adrian; Soci, Cornel; Abdalla, Saleh; Abellan, Xavier; Balsamo, Gianpaolo; Bechtold, Peter; Biavati, Gionata; Bidlot, Jean; Bonavita, Massimo; Chiara, Giovanna; Dahlgren, Per; Dee, Dick; Diamantakis, Michail; Dragani, Rossana; Flemming, Johannes; Forbes, Richard; Fuentes, Manuel; Geer, Alan; Haimberger, Leo; Healy, Sean; Hogan, Robin J.; Hólm, Elías; Janisková, Marta; Keeley, Sarah; Laloyaux, Patrick; Lopez, Philippe; Lupu, Cristina; Radnoti, Gabor; Rosnay, Patricia; Rozum, Iryna; Vamborg, Freja; Villaume, Sebastien; Thépaut, Jean‐Noël. (2020). The ERA5 global reanalysis. doi:10.1002/qj.3803

Attached Datasets ( 2 )

Details for selected entry
[Entry acronym: WRF_WIND_14yrs] [Entry id: 5282089]