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--- tools:sunset_sunset [2023/11/06 13:12]
vagudets
+++ tools:sunset_sunset [2025/05/12 07:59] (current)
abatalla [Materials and documentation]
@@ Line 1: / Line 1: @@
 ===== SUNSET =====
-=== SUbseasoNal to decadal climate forecast post-processIng and asSEsmenT suite ===
+=== SUbseasoNal to decadal climate forecast post-processing and asSEsmenT suite ===
 SUNSET is an R-based tool that provides climate services for sub-seasonal, seasonal and decadal climate forecast horizons. The tool post-processes climate forecast outputs by applying state-of-the-art methodologies to tailor climate products for each application and sector (e.g.: agriculture, energy, water management, or health). Its modular design allows the technicians and researchers to decide on the post-processing required steps, such as regridding, anomalies, downscaling, bias-adjustment methods, as well as the products definition by deciding on the forecast system and reference datasets, variables, and forecast horizon among others.
@@ Line 13: / Line 13: @@
 We use issues to identify and address bugs and propose new developments in the codebase. If you find a problem in our tools, please open an issue in the GitLab project.
+===== Past trainings =====
+  * {{ :tools:day2_04_handson_r_tools.pdf | BSC Training (PATC) 2023 - Climate Forecast Analysis hands-on tutorial: R tools}}
+===== Materials and documentation =====
+  * For detailed documentation and usage guidelines, please refer to the [[https://earth.bsc.es/gitlab/es/sunset/-/wikis/home|SUNSET Wiki]] available on the GitLab project.
+  * {{ :tools:ddt_presentation_-_multimodel_autosubmit.pptx.pdf | How SUNSET uses Autosubmit for multi-model forecast verification workflows}}
+===== Related works and publications =====
+==== 2024 ====
+    - CERISE General Assembly 2024 (Reading, UK, 17-19 January 2024), SUNSET: the SUbseasoNal to decadal climate forecast post-processiNg and asSEssmenT suite, V. Agudetse et al. (CERISE-101082139). {{{{ :library:external:sunset_poster_cerise.pdf | PDF}}
+    - Project for Computing Programming and its Aplications (CPIA) class (4th year of Physics Engineering), Provenance Integration in R seasonal-to-decadal verification workflow, A. Puiggrós et al.  {{ :library:external:provenance_mini-project.pdf | PDF}}
+    - Final Degree Project for Physics Engineering, Provenance Integration in R seasonal-to-decadal verification workflow, A. Puiggrós et al.{{ :tools:memoria_albert_puiggros.pdf | PDF}}
+    - Poster, Provenance Integration in R seasonal-to-decadal verification workflow, A. Puiggrós et al.{{ :tools:provenance_for_sunset_poster.pdf | PDF}}

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