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README clim4health
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_quarto.yml

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menu:
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- text: Overview
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href: docs/data4health/data4health.qmd
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- text: "------"
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- text: "Vignettes"
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- text: Getting started
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href: docs/data4health/data4health-vignette1.qmd
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- text: "clim4health"
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menu:
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- text: Overview
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href: docs/clim4health/clim4health.qmd
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- text: "------"
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- text: "Vignettes"
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- text: Getting started
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href: docs/clim4health/clim4health-vignette1.qmd
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- text: "GHRexplore"
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menu:
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- text: Overview
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href: docs/GHRmodel/GHRmodel.qmd
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- text: "------"
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- text: "Vignettes"
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- text: Getting started
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href: docs/GHRmodel/GHRmodel-vignette1.qmd
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- text: "GHRpredict"
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- text: Overview
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href: docs/GHRpredict/GHRpredict.qmd
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- text: "------"
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- text: "Vignettes"
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- text: Getting started
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href: docs/GHRpredict/GHRpredict-vignette1.qmd
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- text: "About GHR"

content/upload-instructions.md

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Customize the index page, e.g. add sections and logo
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# Reference
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Run in the R package project: generate-reference.R

docs/GHRexplore/GHRexplore.qmd

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```
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<!-- badges: start -->
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[![License](http://img.shields.io/badge/license-GPL%20%28%3E=%202%29-brightgreen.svg?style=flat)](http://www.gnu.org/licenses/gpl-2.0.html)
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[![CRAN status](https://img.shields.io/cran/v/GHRexplore)](https://cran.r-project.org/package=GHRexplore)
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[![License](https://img.shields.io/badge/License-AGPL_v3-brightgreen.svg?style=flat)](https://www.gnu.org/licenses/agpl-3.0.html)
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<!-- badges: end -->
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## Description
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## Overview
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::: columns
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::: {.column width="75%"}

docs/clim4health/README.qmd

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# clim4health <img src='man/figures/logo_harmonize.png' align="right" width="9%" /> <span> <span> <img src='man/figures/logo_BSC.png' align="right" width="16%" />
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<!-- badges: start -->
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[![License](https://img.shields.io/badge/License-AGPL_v3-brightgreen.svg?style=flat)](https://www.gnu.org/licenses/agpl-3.0.html)
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<!-- badges: end -->
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<img src='man/figures/clim4health.jpg' align="right" width="14%" />
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## Overview
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**clim4health** is an R package designed to obtain, transform and export climate
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data for their use in epidemiological analyses and other types of applications.
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The package contains a series of functions structured in three sequential blocks:
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input, transformation, and output.
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In the input block, **clim4health** provides functions to download several types of
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climate data including reanalyses, forecasts, hindcasts, and weather stations
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and load them into memory for their processing. The transformation block includes
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functions to postprocess and downscale climate data, perform spatiotemporal
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aggregations, as well as compute threshold-based suitability indicators. Finally,
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in the output block, functions to visualize and export the transformed data are
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provided.
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<br>
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<div align="center">
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<img src='man/figures/package_structure.jpg' width="80%" /></center>
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</div>
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<br> \
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**clim4health** is one of the packages developed by the
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[Global Health Resilience](https://www.bsc.es/discover-bsc/organisation/research-departments/global-health-resilience) (GHR)
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team at the [Barcelona Supercomputing Center](https://www.bsc.es/) (BSC) within
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the [HARMONIZE](https://www.harmonize-tools.org/) project, which comprises
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different R and Python libraries tailored for health, climate, environmental,
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and socioeconomic data acquisition, harmonisation, and visualization.
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The package is currently under development and its expected release date
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is **February 2026**.
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## Developers
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**[Emily Ball, PhD](https://www.bsc.es/ball-emily)**
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<a href="https://orcid.org/0000-0002-3002-4068" style="margin-left: 15px;"><img src="https://orcid.org/sites/default/files/images/orcid_16x16.png" alt="ORCID" style="width: 16px; height: 16px;" /></a>\
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Barcelona Supercomputing Center\
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Climate Services
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**[Alba Llabrés, PhD](https://www.bsc.es/llabres-alba)**
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<a href="https://orcid.org/0000-0003-2144-675X" style="margin-left: 15px;"><img src="https://orcid.org/sites/default/files/images/orcid_16x16.png" alt="ORCID" style="width: 16px; height: 16px;" /></a>\
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Barcelona Supercomputing Center\
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Climate Services
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**[Carles Milà, PhD](https://www.bsc.es/mila-garcia-carles)**
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<a href="https://orcid.org/0000-0003-0470-0760" style="margin-left: 15px;"><img src="https://orcid.org/sites/default/files/images/orcid_16x16.png" alt="ORCID" style="width: 16px; height: 16px;" /></a>\
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Barcelona Supercomputing Center\
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Global Health Resilience
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**[Raul Capellan Fernandez, MSc](https://www.bsc.es/capellan-fernandez-raul)** \
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Barcelona Supercomputing Center\
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Earth Data and Diagnostics
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**[Daniela Lührsen, MSc](https://www.bsc.es/luhrsen-daniela-sofie)**
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<a href="https://orcid.org/0009-0002-6340-5964" style="margin-left: 15px;"><img src="https://orcid.org/sites/default/files/images/orcid_16x16.png" alt="ORCID" style="width: 16px; height: 16px;" /></a>\
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Barcelona Supercomputing Center\
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Global Health Resilience
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**[Anna B. Kawiecki, PhD](https://www.bsc.es/kawiecki-peralta-ania)**
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<a href="https://orcid.org/0000-0002-0499-2612" style="margin-left: 15px;"><img src="https://orcid.org/sites/default/files/images/orcid_16x16.png" alt="ORCID" style="width: 16px; height: 16px;" /></a>\
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Barcelona Supercomputing Center\
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Global Health Resilience
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**[Rachel Lowe, PhD](https://www.bsc.es/lowe-rachel)**
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<a href="https://orcid.org/0000-0003-3939-7343" style="margin-left: 15px;"><img src="https://orcid.org/sites/default/files/images/orcid_16x16.png" alt="ORCID" style="width: 16px; height: 16px;" /></a>\
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Barcelona Supercomputing Center\
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Global Health Resilience (Group leader)
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docs/clim4health/clim4health.qmd

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---
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title: "clim4health"
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format:
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html:
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toc: true
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---
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Under construction.
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```{=html}
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<img src='/figures/clim4health/logo_BSC.png'
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width="24%"
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style="float:right; margin-left:50px;" />
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<img src='/figures/clim4health/logo_harmonize.png'
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width="12%"
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style="float:right;" />
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```
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<!-- badges: start -->
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[![License](https://img.shields.io/badge/License-AGPL_v3-brightgreen.svg?style=flat)](https://www.gnu.org/licenses/agpl-3.0.html)
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<!-- badges: end -->
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## Overview
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::: columns
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::: {.column width="75%"}
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**clim4health** is an R package designed to obtain, transform and export climate
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data for their use in epidemiological analyses and other types of applications.
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The package contains a series of functions structured in three sequential blocks:
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input, transformation, and output.
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In the input block, **clim4health** provides functions to download several types of
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climate data including reanalyses, forecasts, hindcasts, and weather stations
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and load them into memory for their processing. The transformation block includes
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functions to postprocess and downscale climate data, perform spatiotemporal
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aggregations, as well as compute threshold-based suitability indicators. Finally,
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in the output block, functions to visualize and export the transformed data are
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provided.
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:::
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::: {.column width="5%"}
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:::
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::: {.column width="20%"}
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```{=html}
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<img src="/figures/clim4health.svg" width="100%">
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```
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:::
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:::
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<br>
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<center>
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<img src='/figures/clim4health/package_structure.jpg' width="80%" /></center>
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</center>
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<br>
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**clim4health** is one of the packages developed by the
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[Global Health Resilience](https://www.bsc.es/discover-bsc/organisation/research-departments/global-health-resilience) (GHR)
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team at the [Barcelona Supercomputing Center](https://www.bsc.es/) (BSC) within
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the [HARMONIZE](https://www.harmonize-tools.org/) project, which comprises
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different R and Python libraries tailored for health, climate, environmental,
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and socioeconomic data acquisition, harmonisation, and visualization.
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The package is currently under development and its expected release date
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is **February 2026**.
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## Developers
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**[Emily Ball, PhD](https://www.bsc.es/ball-emily)**
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<a href="https://orcid.org/0000-0002-3002-4068" style="margin-left: 15px;"><img src="https://orcid.org/sites/default/files/images/orcid_16x16.png" alt="ORCID" style="width: 16px; height: 16px;" /></a>\
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Barcelona Supercomputing Center\
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Climate Services
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**[Alba Llabrés, PhD](https://www.bsc.es/llabres-alba)**
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<a href="https://orcid.org/0000-0003-2144-675X" style="margin-left: 15px;"><img src="https://orcid.org/sites/default/files/images/orcid_16x16.png" alt="ORCID" style="width: 16px; height: 16px;" /></a>\
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Barcelona Supercomputing Center\
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Climate Services
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**[Carles Milà, PhD](https://www.bsc.es/mila-garcia-carles)**
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<a href="https://orcid.org/0000-0003-0470-0760" style="margin-left: 15px;"><img src="https://orcid.org/sites/default/files/images/orcid_16x16.png" alt="ORCID" style="width: 16px; height: 16px;" /></a>\
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Barcelona Supercomputing Center\
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Global Health Resilience
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**[Raul Capellan Fernandez, MSc](https://www.bsc.es/capellan-fernandez-raul)** \
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Barcelona Supercomputing Center\
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Earth Data and Diagnostics
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**[Daniela Lührsen, MSc](https://www.bsc.es/luhrsen-daniela-sofie)**
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<a href="https://orcid.org/0009-0002-6340-5964" style="margin-left: 15px;"><img src="https://orcid.org/sites/default/files/images/orcid_16x16.png" alt="ORCID" style="width: 16px; height: 16px;" /></a>\
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Barcelona Supercomputing Center\
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Global Health Resilience
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**[Anna B. Kawiecki, PhD](https://www.bsc.es/kawiecki-peralta-ania)**
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<a href="https://orcid.org/0000-0002-0499-2612" style="margin-left: 15px;"><img src="https://orcid.org/sites/default/files/images/orcid_16x16.png" alt="ORCID" style="width: 16px; height: 16px;" /></a>\
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Barcelona Supercomputing Center\
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Global Health Resilience
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**[Rachel Lowe, PhD](https://www.bsc.es/lowe-rachel)**
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<a href="https://orcid.org/0000-0003-3939-7343" style="margin-left: 15px;"><img src="https://orcid.org/sites/default/files/images/orcid_16x16.png" alt="ORCID" style="width: 16px; height: 16px;" /></a>\
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Barcelona Supercomputing Center\
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Global Health Resilience (Group leader)
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index.qmd

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```{=html}
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<br>
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<center><img src="figures/landing.png" width="80%"></center>
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<center><img src="figures/landing.png" width="75%"></center>
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<br>
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```
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