NERC- FAPESP-NSTC Land Use Change Investigation and Regional Climate (LIRIC)
Lead Research Organisation:
University of the West of England
Department Name: Faculty of Environment and Technology
Abstract
Increasing supercomputer power has allowed climate projections to be run at a resolution, with kilometre-scale grid spacing. In this high resolution, convection-permitting models (CPMs) allow the organised vertical transport of heat and moisture in the atmosphere to be represented explicitly on the model grid, without the need for parameterisation based on empirical relationships. CPMs have been shown to provide realistic temperature and precipitation simulations with statistical properties of localised extreme events, not captured by coarser resolution models. Despite the significant advances CPMs offer, there is an immediate need to quantify the impact of land use changes related to building density and heights on regional climate - for promoting climate change action related to environmental management and urban planning in different parts of the globe.
In this project, we propose to generate and compare CPM simulations for three regions: Guandu in northern Taiwan, São Paulo in southeast Brazil, and Bristol in the southwest UK, that have distinct land use characteristics and unique climate features. Analysing the temperature and precipitation fields of the simulations will improve our understanding of the impact of land use changes on regional climate. The results of the CPM simulations will then be visualised using immersive technology to create impacts of using CPM with stakeholders of regional planning in the UK, South America, and Taiwan.
To do this, we are extending the collaboration between Bristol and São Paolo where researchers have led several CPM studies, to include researchers at the National University of Taiwan who have complementary urban and environmental management expertise. The CPM simulations for northern Taiwan and southeast Brazil will be undertaken, and the results will be compared with the southwest UK ensembles from the Europe Coordinated Regional Climate Downscaling Experiment (Europe-CORDEX) and UKCP18. This comparison aims to analyse the impact of different land uses, including cropland and urban areas, on temperature and precipitation patterns. A workshop in Brazil will discuss these findings and consolidate research activities with South American groups. This will be followed by hydroclimatic analysis to evaluate how land use changes related to deforestation and urbanisation affect joint distribution of precipitation and temperature. Findings will be discussed in a workshop in Taiwan.
Immersive materials will then be developed for the final workshop in Bristol with the atmospheric, hydroclimatic and environmental management communities including the South America-CORDEX team, the UK Met office, and Taiwanese urban planning and modelling groups. This will be a forum for presenting the results of the project and for initiating an interdisciplinary application to support future collaborative research activities, to expand the scientific community engaged with CPM research focusing on the local climate impact studies. All workshops will be open to the broader urban and environmental management research communities, ensuring inclusive involvement of diverse stakeholders.
Overall, the findings will inform regional sustainability planning and policy-making based on refined horizontal and temporal scales of convection-permitting models. Furthermore, these insights will guide environmental management and urban planning by assessing how changes in land use may influence localised temperature and precipitation extremes, supporting efforts to achieve Sustainable Develop Goal 13: Climate Action.
In this project, we propose to generate and compare CPM simulations for three regions: Guandu in northern Taiwan, São Paulo in southeast Brazil, and Bristol in the southwest UK, that have distinct land use characteristics and unique climate features. Analysing the temperature and precipitation fields of the simulations will improve our understanding of the impact of land use changes on regional climate. The results of the CPM simulations will then be visualised using immersive technology to create impacts of using CPM with stakeholders of regional planning in the UK, South America, and Taiwan.
To do this, we are extending the collaboration between Bristol and São Paolo where researchers have led several CPM studies, to include researchers at the National University of Taiwan who have complementary urban and environmental management expertise. The CPM simulations for northern Taiwan and southeast Brazil will be undertaken, and the results will be compared with the southwest UK ensembles from the Europe Coordinated Regional Climate Downscaling Experiment (Europe-CORDEX) and UKCP18. This comparison aims to analyse the impact of different land uses, including cropland and urban areas, on temperature and precipitation patterns. A workshop in Brazil will discuss these findings and consolidate research activities with South American groups. This will be followed by hydroclimatic analysis to evaluate how land use changes related to deforestation and urbanisation affect joint distribution of precipitation and temperature. Findings will be discussed in a workshop in Taiwan.
Immersive materials will then be developed for the final workshop in Bristol with the atmospheric, hydroclimatic and environmental management communities including the South America-CORDEX team, the UK Met office, and Taiwanese urban planning and modelling groups. This will be a forum for presenting the results of the project and for initiating an interdisciplinary application to support future collaborative research activities, to expand the scientific community engaged with CPM research focusing on the local climate impact studies. All workshops will be open to the broader urban and environmental management research communities, ensuring inclusive involvement of diverse stakeholders.
Overall, the findings will inform regional sustainability planning and policy-making based on refined horizontal and temporal scales of convection-permitting models. Furthermore, these insights will guide environmental management and urban planning by assessing how changes in land use may influence localised temperature and precipitation extremes, supporting efforts to achieve Sustainable Develop Goal 13: Climate Action.
Organisations
- University of the West of England (Collaboration, Lead Research Organisation)
- COVENTRY UNIVERSITY (Collaboration)
- York University Toronto (Collaboration)
- BIRMINGHAM CITY UNIVERSITY (Collaboration, Project Partner)
- University of California (Collaboration)
- Hellenic Air Force (Collaboration)
- University of Padova (Collaboration)
- National Centre for Atmospheric Research (Collaboration, Project Partner)
- Laboratory of Climate Sciences and the Environment (LSCE) (Collaboration)
- UNIVERSITY OF BIRMINGHAM (Collaboration)
- World Meteorological Organization (Collaboration)
- University of Buenos Aires (Collaboration)
- Wageningen University & Research (Collaboration)
- University of Barcelona (Collaboration)
- Abdus Salam International Centre for Theoretical Physics (Collaboration)
- University of Lisbon (Collaboration)
- Universidade de São Paulo (Collaboration)
- Georgia State University (Collaboration)
- IMPERIAL COLLEGE LONDON (Collaboration)
- University of Cantabria (Collaboration)
- University of Bern (Collaboration)
- University of Saskatchewan (Collaboration)
- UNIVERSITY OF NEWCASTLE (Collaboration)
- University of Hong Kong (Collaboration)
- Yangzhou University (Collaboration)
- University of Zaragoza (Collaboration)
- University of Sumbawa Besar Samawa (Collaboration)
- Classic Design & Planning (Project Partner)
- University of Rouen (Project Partner)
- National Taiwan University (Project Partner)
- MET OFFICE (Project Partner)
- Istanbul Technical University (Project Partner)
- University of São Paulo (Project Partner)
- University of Buenos Aires (Project Partner)
- University of Bonn (Project Partner)
Publications
Chun K
(2025)
Transforming Disaster Risk Reduction With AI and Big Data: Legal and Interdisciplinary Perspectives
in WIREs Data Mining and Knowledge Discovery
Chun KP
(2026)
Decolonising Hydrology: Reflecting on positionalities for sustainable and just futures
in Environmental Science and Policy
Orieschnig C
(2026)
Effective science communication in the face of water crises: A community perspective on challenges and best- Practice in HELPING
in Hydrological Sciences Journal
| Description | * Achievements from the award The most significant achievement from the award is the development and application of a novel, emerging AI approach for undertaking km-scale climate simulations. New ideas from stochastic diffusion equations, supported by High Performance Computing (HPC) and Graphics Processing Unit (GPU) computing, are forming a new AI agenda for actionable atmospheric model outputs that support SDG13 on climate action. In the AI trial, although Taiwan's weather generators trained on convection-permitting Weather Research and Forecasting (WRF) model outputs produce simulations that correlate strongly with ground observations, some biases remain. Notably, the discrepancy between AI and CPM simulations is greater than the difference observed between urban and non-urban CPM experiments. This indicates that a straightforward AI emulator may still fail to capture land-use impacts on local precipitation extremes, even when it performs well for temperature-related events such as heatwaves. Ensemble differences between AI and CPM simulations could provide a new way to quantify uncertainty and assess model accuracy, helping us understand why urban-scheme results may not always improve agreement with observations. ______________________________________________________________________________________ * To what extent the award objectives has been met At the time of reporting, each award objective has been partially met and is on track to be met when the project concludes at the end of 2026. Progress against each objective is summarised below: 1. Generate convective-permitting models (CPM) simulations for Guandu (northern Taiwan) and São Paulo (southeast Brazil) for comparison with the Europe CORDEX simulation in Bristol (southwest England). Progress: The CORDEX-Europe simulations (long runs for São Paulo) will be available, and a shared protocol has been co-developed with project partners for an on-going long simulation. The CPM simulations for Taiwan events has been done in collaboration with Dr Greg Chen, from the National Taiwan University, while the CPM simulations for São Paulo are ongoing. We have examined the land-surface energy balance to explain why urban land-surface schemes often produce more sensible heat than latent heat. Roughness is another important variable for scaling effects across resolutions, helping us understand urban land-use processes. This, in turn, allows us to decompose uncertainty sources related to boundary-layer and urban-scheme settings. We also recognise that initial conditions and input data substantially influence convection simulations. This shows in our Global Forecast System (GFS)- and ERA5-forced runs that produce different results. Meanwhile, the UK teams are actively developing AI methods, including new algorithm applications such as the Deep Huber quantile regression network and stochastic diffusion approaches. 2. Investigate the impact of land use on regional climate by comparing results across southwest England, southeast Brazil, and northern Taiwan using the Europe CORDEX land use analysis protocol. The goal is to gain insights into how these changes may influence regional sustainability in the future. Progress: This work is progressing in line with the availability of outputs from Objective 1. Interactions with urban planners and human geographers on the project team have created valuable interdisciplinary perspectives by considering how building façade characteristics and surface proximity influence temperature and thermal comfort during heatwaves. Preliminary evaluation of the CPM outputs is informing decisions about how best to represent these effects in an immersive visual environment, and additional analysis will be undertaken once all regional simulations are complete. In 2026, three teams will investigate sources of uncertainty in convection-permitting models to explain why including urban-scheme development may not always improve comparison with ground observations. The potential of weather generators based on stochastic diffusion models and AI-driven statistical downscaling will be further developed using CPM results. We aim to complete a long São Paulo simulation run to analyse interannual variability and use probabilistic approaches to investigate non-stationarity and potential distributional drift. We will also explore differences in urban effects between tropical (São Paulo) and temperate (UK) environments, contributing to SDG11 on sustainable cities and communities. 3. Facilitate international transdisciplinary collaboration through workshops, discussing scientific results and implication for climate policies and actions, and explore the use of immersive technology to visualise urban planning and environmental management options based on CPM model results. Progress: A research visit and workshop were held in Taiwan in September 2025. This included meetings with Taiwan Climate Change Projection Information and Adaptation Knowledge Platform (TCCIP) and community stakeholders in the Guandu Plain, enabling the team to contextualise scientific findings with local knowledge and codevelop climate adaptation narratives. Insights from Taiwan are now being incorporated into virtual reality (VR) materials, supported by local datasets and co-creation sessions. Preparations are underway for the São Paulo research visit and workshop in June 2026, followed by a final workshop in Bristol in September 2026. VR materials for São Paulo and Bristol are also in development, informed by discussions on local weather events, future scenarios, and community identified priorities. |
| Exploitation Route | * The findings might be taken forward and by whom The UK team is currently developing ideas for coupling weather-generator outputs trained on CPM simulations with water-quality models, building on two recently published water-quality papers and a 2025 EGU conference presentation. We are expanding the collaboration to include Prof Ana Mijic from the Imperial College London on this work, aimed for the NERC Pushing Frontier Call. UK team members and collaborators are active in the Coordinated Regional Climate Downscaling Experiment (CORDEX) framework community, which is part of the World Climate Research Programme (WCRP) Flagship Pilot Study URBan environments and Regional Climate Change (URB-RCC). New convection-permitting outputs will support Satellite-City development for CORDEX-Europe. These new datasets and skills are strengthening digital-environmental research capacity in South America and Taiwan. GPU-based weather generators can reduce simulation time by approximately a factor of three, and we are assessing GPU and CPU performance trade-offs while advancing co-creation and knowledge generation on uncertainties in urban schemes and AI. |
| Sectors | Digital/Communication/Information Technologies (including Software) Environment |
| Description | The project strengthens interdisciplinary research practice by combining environmental science, geography, urban planning, and computing. It is generating new methodological insights, building international networks, and supporting skill development among early career researchers. A. Methodological insights A key contribution lies in the study of land use and landcover change (LULC), which continues to provide valuable insights into how human activities, such as converting green areas to built-up surfaces or transforming grassland into agricultural land, alter regional climate processes. Enhanced representations of LULC, including Local Climate Zones, requires higher spatial resolution and therefore greater computational resources, but is increasingly important as future climatic and anthropogenic pressures intensify. These modelling choices affect energy and water budgets in simulations and shape how model outputs capture the severity and distribution of climate extremes. The project therefore contributes to wider discussions on the level of detail required for regional climate modelling and how such detail should be implemented. B. International networks Throughout the project, teams in all three countries have engaged with their local hydroclimate communities. They also participated in international conferences, including interacting with around 45 participants across two presentations at EGU 2025. The Taiwan team with the UK team attended at a convection-permitting modelling workshop in Hong Kong in summer 2025. At the 12th International Conference on Urban Climate (ICUC12) Copernicus Meetings, the UK team worked closely with the CORDEX-Europe urban team and presented to around 30 participants. The CORDEX-Europe urban simulations at high resolution have also led to two publications. The team is generating satellite-city simulations for São Paulo and developing protocols for regional convection-permitting model experiments. Our leadership in international research networks has also expanded. Through Med-CORDEX, the UK lead heads a working group on AI-based statistical downscaling for weather generators. Within Theme C (compound risks) of the UNESCO EURO FRIEND-Water Project-3 on Large-Scale Variations in Hydrological Characteristics, the team has explored using CPM simulations for compound-risk assessments. The project lead has also helped identify and support the next Theme Leader and will take on the AI leadership role for UNESCO EURO FRIEND-Water Project-3. Partners in Brazil have also been active in the convection-permitting modelling community, participating in two conferences in 2025 and collaborating closely with the UK team and the NCAR South American Affinity Group. Together with the University of Illinois, they are developing deforestation scenarios for the next continental-scale experiment. The UK team also participated in the 2025 Digital Earth Global Hackathon, collaborating with the Taiwan team to develop a typhoon simulation using GPU-based weather generators trained on CPM outputs to investigate land-use effects. In the wider community, the UK lead has become a Management Committee member of the COST Action CA23108 - Seasonal-to-decadal climate predictability in the Mediterranean: process understanding and services (MEDUSSE). The UK team also contributes to review communities for both ESRC and the British Council, and serving on editorial boards including Water Science and Engineering (WSE). The project also opens space for reflection on decolonising climate research by valuing local knowledge, ensuring equitable collaboration with international partners, and co creating climate narratives that are grounded in the lived experiences of the communities most affected by environmental change. The project leads now play leadership roles of the HELPING initiative (2023-2032) under the International Association of Hydrological Sciences (IAHS), aiming to address global water crises through local, bottom-up, interdisciplinary hydrological research. UK team members are leaders in the HELPING group on decolonising hydrology, promoting diversity, inclusiveness, and equality. The UK team contributes by linking local, regional, and global data to address water security using urban land-use classifications and convection-permitting hydroclimate simulations, in support of SDG10 on reducing inequality. These activities are jointly led with South American and Taiwanese colleagues, creating a leadership team more gender-diverse than is typical. International partners from the Vatican and Turkey are also gender-balanced. The team includes researchers across career stages and works with communities spanning a wide socioeconomic range, from migrant groups to local policymakers, and team members have diverse family roles. It is significant that the UK leads, who are immigrants from Asia, hold leadership positions in UK-funded international collaborations. C. Skill development Collaboration with researchers in Taiwan, Brazil, Turkey, Argentina, and the Vatican supports advanced climate modelling via the UK's JASMIN HPC service and builds HPC skills among early career researchers. More experienced modellers are actively supporting capacity building across the research group, strengthening both individual and institutional research capability. The UK team contributes to the HPC Network Plus community by drawing on experience with ARCHER2, JASMIN, and international HPC collaborations with South American and Taiwanese researchers. Discussions on transitioning from CPU to GPU-based systems feed into broader UK HPC planning, supported by upcoming UKRI GPU facilities. The project has also offered training opportunities, including a Taiwan urban planning student working with their governmental agency using convection-permitting model outputs for the first time. During the project, the student also worked with the Taiwan lead on a postgraduate AI-and-urban-planning module using Local Climate Zones. As we develop immersive models (virtual reality/VR) to translate climate data across the three sites, the project is also generating new learning on how best to communicate technical information in ways that are accessible and engaging for stakeholders. We are training two recent graduates as immersive-environment developers, and PhD students not directly involved in the project have also engaged by exploring immersive-environment tools for climate-action communication. All these activities contribute to UK HPC road-map discussions related to data, software, and skills development, based on our strong international profile. |
| First Year Of Impact | 2025 |
| Sector | Agriculture, Food and Drink,Construction,Education,Environment |
| Impact Types | Cultural Societal Economic |
| Description | Contribution to Policy Dialogue on Taiwan's Spatial Planning Act Review |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Contribution to new or improved professional practice |
| Impact | These activities facilitated dialogue between climate scientists, urban planners, and local stakeholders regarding spatial vulnerability and land-use governance. |
| Description | C40 Global Innovation Fellowship |
| Amount | £120,000 (GBP) |
| Funding ID | OGIFCC\100033 |
| Organisation | The British Academy |
| Sector | Academic/University |
| Country | United Kingdom |
| Start | 09/2025 |
| End | 09/2026 |
| Description | The National Research Agency (Agence Nationale de la recherche (ANR) |
| Amount | € 25,071,632 (EUR) |
| Organisation | French National Research Agency |
| Sector | Public |
| Country | France |
| Start | 12/2025 |
| End | 12/2029 |
| Description | CORDEX-Urban to developed regional climate model simulations for South America metropolitan regions |
| Organisation | Abdus Salam International Centre for Theoretical Physics |
| Country | Italy |
| Sector | Academic/University |
| PI Contribution | In this project, our research team develops regional climate model simulations for South America metropolitan regions: São Paulo, Rio de Janeiro and Buenos Aires |
| Collaborator Contribution | Contribution to the climate model simulations |
| Impact | Climate model simulations for South America metropolitan regions: São Paulo, Rio de Janeiro and Buenos Aires |
| Start Year | 2025 |
| Description | CORDEX-Urban to developed regional climate model simulations for South America metropolitan regions |
| Organisation | University of Lisbon |
| Country | Portugal |
| Sector | Academic/University |
| PI Contribution | In this project, our research team develops regional climate model simulations for South America metropolitan regions: São Paulo, Rio de Janeiro and Buenos Aires |
| Collaborator Contribution | Contribution to the climate model simulations |
| Impact | Climate model simulations for South America metropolitan regions: São Paulo, Rio de Janeiro and Buenos Aires |
| Start Year | 2025 |
| Description | Enhancing climate downscaling at km-scale in subtropical South America using machine learning CPRCM-CMIP6 emulators. Its a Flagship Pilot Study to improve very high-resolution (km-scale) climate information for subtropical South America. The team plans to blend convection-permitting regional climate models (CPRCMs) with machine-learning "emulators" that mimic those expensive simulations, and anchor everything to CMIP6 global climate projections. |
| Organisation | Abdus Salam International Centre for Theoretical Physics |
| Country | Italy |
| Sector | Academic/University |
| PI Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Collaborator Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Impact | Dominguez F, Rasmussen R, Liu C, Ikeda K, Prein A, Varble A, Arias P, Bacmeister J, Bettolli ML, Callaghan P, Carvalho L, Castro C, Chen F, Chug D, Chun K, Dai A, Danaila L, da Rocha R, de Nascimento E, Dougherty E, Dudhia J, Eidhammer T, Feng Z, Fita L, Fu R, Giles J, Gilmour H, Halladay K, Huang Y, Wong A, Lagos-Zúñiga M, Jones C, Llamocca J, Llopart M, Martinez JA, Martinez JC, Minder J, Morrison M, Moon Z, Mu Y, Neale R, Ocasio K, Pal S, Potter E, Poveda G, Puhales F, Rasmussen K, Rehbein A, Rios-Berrios R, Risanto C, Rosales A, Scaff L, Seimon A, Somos-Valenzuela M, Tian Y, Van Oevelen P, Veloso-Aguila D, Xue L, Schneider T. 2024. Advancing South American Water and Climate Science Through Multi-Decadal Convection-Permitting Modeling. BAMS. DOI: https://doi.org/10.1175/BAMS-D-22-0226.1 |
| Start Year | 2025 |
| Description | Enhancing climate downscaling at km-scale in subtropical South America using machine learning CPRCM-CMIP6 emulators. Its a Flagship Pilot Study to improve very high-resolution (km-scale) climate information for subtropical South America. The team plans to blend convection-permitting regional climate models (CPRCMs) with machine-learning "emulators" that mimic those expensive simulations, and anchor everything to CMIP6 global climate projections. |
| Organisation | Laboratory of Climate Sciences and the Environment (LSCE) |
| Country | France |
| Sector | Academic/University |
| PI Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Collaborator Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Impact | Dominguez F, Rasmussen R, Liu C, Ikeda K, Prein A, Varble A, Arias P, Bacmeister J, Bettolli ML, Callaghan P, Carvalho L, Castro C, Chen F, Chug D, Chun K, Dai A, Danaila L, da Rocha R, de Nascimento E, Dougherty E, Dudhia J, Eidhammer T, Feng Z, Fita L, Fu R, Giles J, Gilmour H, Halladay K, Huang Y, Wong A, Lagos-Zúñiga M, Jones C, Llamocca J, Llopart M, Martinez JA, Martinez JC, Minder J, Morrison M, Moon Z, Mu Y, Neale R, Ocasio K, Pal S, Potter E, Poveda G, Puhales F, Rasmussen K, Rehbein A, Rios-Berrios R, Risanto C, Rosales A, Scaff L, Seimon A, Somos-Valenzuela M, Tian Y, Van Oevelen P, Veloso-Aguila D, Xue L, Schneider T. 2024. Advancing South American Water and Climate Science Through Multi-Decadal Convection-Permitting Modeling. BAMS. DOI: https://doi.org/10.1175/BAMS-D-22-0226.1 |
| Start Year | 2025 |
| Description | Enhancing climate downscaling at km-scale in subtropical South America using machine learning CPRCM-CMIP6 emulators. Its a Flagship Pilot Study to improve very high-resolution (km-scale) climate information for subtropical South America. The team plans to blend convection-permitting regional climate models (CPRCMs) with machine-learning "emulators" that mimic those expensive simulations, and anchor everything to CMIP6 global climate projections. |
| Organisation | National Centre for Atmospheric Research |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Collaborator Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Impact | Dominguez F, Rasmussen R, Liu C, Ikeda K, Prein A, Varble A, Arias P, Bacmeister J, Bettolli ML, Callaghan P, Carvalho L, Castro C, Chen F, Chug D, Chun K, Dai A, Danaila L, da Rocha R, de Nascimento E, Dougherty E, Dudhia J, Eidhammer T, Feng Z, Fita L, Fu R, Giles J, Gilmour H, Halladay K, Huang Y, Wong A, Lagos-Zúñiga M, Jones C, Llamocca J, Llopart M, Martinez JA, Martinez JC, Minder J, Morrison M, Moon Z, Mu Y, Neale R, Ocasio K, Pal S, Potter E, Poveda G, Puhales F, Rasmussen K, Rehbein A, Rios-Berrios R, Risanto C, Rosales A, Scaff L, Seimon A, Somos-Valenzuela M, Tian Y, Van Oevelen P, Veloso-Aguila D, Xue L, Schneider T. 2024. Advancing South American Water and Climate Science Through Multi-Decadal Convection-Permitting Modeling. BAMS. DOI: https://doi.org/10.1175/BAMS-D-22-0226.1 |
| Start Year | 2025 |
| Description | Enhancing climate downscaling at km-scale in subtropical South America using machine learning CPRCM-CMIP6 emulators. Its a Flagship Pilot Study to improve very high-resolution (km-scale) climate information for subtropical South America. The team plans to blend convection-permitting regional climate models (CPRCMs) with machine-learning "emulators" that mimic those expensive simulations, and anchor everything to CMIP6 global climate projections. |
| Organisation | Universidade de São Paulo |
| Country | Brazil |
| Sector | Academic/University |
| PI Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Collaborator Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Impact | Dominguez F, Rasmussen R, Liu C, Ikeda K, Prein A, Varble A, Arias P, Bacmeister J, Bettolli ML, Callaghan P, Carvalho L, Castro C, Chen F, Chug D, Chun K, Dai A, Danaila L, da Rocha R, de Nascimento E, Dougherty E, Dudhia J, Eidhammer T, Feng Z, Fita L, Fu R, Giles J, Gilmour H, Halladay K, Huang Y, Wong A, Lagos-Zúñiga M, Jones C, Llamocca J, Llopart M, Martinez JA, Martinez JC, Minder J, Morrison M, Moon Z, Mu Y, Neale R, Ocasio K, Pal S, Potter E, Poveda G, Puhales F, Rasmussen K, Rehbein A, Rios-Berrios R, Risanto C, Rosales A, Scaff L, Seimon A, Somos-Valenzuela M, Tian Y, Van Oevelen P, Veloso-Aguila D, Xue L, Schneider T. 2024. Advancing South American Water and Climate Science Through Multi-Decadal Convection-Permitting Modeling. BAMS. DOI: https://doi.org/10.1175/BAMS-D-22-0226.1 |
| Start Year | 2025 |
| Description | Enhancing climate downscaling at km-scale in subtropical South America using machine learning CPRCM-CMIP6 emulators. Its a Flagship Pilot Study to improve very high-resolution (km-scale) climate information for subtropical South America. The team plans to blend convection-permitting regional climate models (CPRCMs) with machine-learning "emulators" that mimic those expensive simulations, and anchor everything to CMIP6 global climate projections. |
| Organisation | University of Buenos Aires |
| Country | Argentina |
| Sector | Academic/University |
| PI Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Collaborator Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Impact | Dominguez F, Rasmussen R, Liu C, Ikeda K, Prein A, Varble A, Arias P, Bacmeister J, Bettolli ML, Callaghan P, Carvalho L, Castro C, Chen F, Chug D, Chun K, Dai A, Danaila L, da Rocha R, de Nascimento E, Dougherty E, Dudhia J, Eidhammer T, Feng Z, Fita L, Fu R, Giles J, Gilmour H, Halladay K, Huang Y, Wong A, Lagos-Zúñiga M, Jones C, Llamocca J, Llopart M, Martinez JA, Martinez JC, Minder J, Morrison M, Moon Z, Mu Y, Neale R, Ocasio K, Pal S, Potter E, Poveda G, Puhales F, Rasmussen K, Rehbein A, Rios-Berrios R, Risanto C, Rosales A, Scaff L, Seimon A, Somos-Valenzuela M, Tian Y, Van Oevelen P, Veloso-Aguila D, Xue L, Schneider T. 2024. Advancing South American Water and Climate Science Through Multi-Decadal Convection-Permitting Modeling. BAMS. DOI: https://doi.org/10.1175/BAMS-D-22-0226.1 |
| Start Year | 2025 |
| Description | Enhancing climate downscaling at km-scale in subtropical South America using machine learning CPRCM-CMIP6 emulators. Its a Flagship Pilot Study to improve very high-resolution (km-scale) climate information for subtropical South America. The team plans to blend convection-permitting regional climate models (CPRCMs) with machine-learning "emulators" that mimic those expensive simulations, and anchor everything to CMIP6 global climate projections. |
| Organisation | University of Cantabria |
| Country | Spain |
| Sector | Academic/University |
| PI Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Collaborator Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Impact | Dominguez F, Rasmussen R, Liu C, Ikeda K, Prein A, Varble A, Arias P, Bacmeister J, Bettolli ML, Callaghan P, Carvalho L, Castro C, Chen F, Chug D, Chun K, Dai A, Danaila L, da Rocha R, de Nascimento E, Dougherty E, Dudhia J, Eidhammer T, Feng Z, Fita L, Fu R, Giles J, Gilmour H, Halladay K, Huang Y, Wong A, Lagos-Zúñiga M, Jones C, Llamocca J, Llopart M, Martinez JA, Martinez JC, Minder J, Morrison M, Moon Z, Mu Y, Neale R, Ocasio K, Pal S, Potter E, Poveda G, Puhales F, Rasmussen K, Rehbein A, Rios-Berrios R, Risanto C, Rosales A, Scaff L, Seimon A, Somos-Valenzuela M, Tian Y, Van Oevelen P, Veloso-Aguila D, Xue L, Schneider T. 2024. Advancing South American Water and Climate Science Through Multi-Decadal Convection-Permitting Modeling. BAMS. DOI: https://doi.org/10.1175/BAMS-D-22-0226.1 |
| Start Year | 2025 |
| Description | Enhancing climate downscaling at km-scale in subtropical South America using machine learning CPRCM-CMIP6 emulators. Its a Flagship Pilot Study to improve very high-resolution (km-scale) climate information for subtropical South America. The team plans to blend convection-permitting regional climate models (CPRCMs) with machine-learning "emulators" that mimic those expensive simulations, and anchor everything to CMIP6 global climate projections. |
| Organisation | University of the West of England |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Collaborator Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Impact | Dominguez F, Rasmussen R, Liu C, Ikeda K, Prein A, Varble A, Arias P, Bacmeister J, Bettolli ML, Callaghan P, Carvalho L, Castro C, Chen F, Chug D, Chun K, Dai A, Danaila L, da Rocha R, de Nascimento E, Dougherty E, Dudhia J, Eidhammer T, Feng Z, Fita L, Fu R, Giles J, Gilmour H, Halladay K, Huang Y, Wong A, Lagos-Zúñiga M, Jones C, Llamocca J, Llopart M, Martinez JA, Martinez JC, Minder J, Morrison M, Moon Z, Mu Y, Neale R, Ocasio K, Pal S, Potter E, Poveda G, Puhales F, Rasmussen K, Rehbein A, Rios-Berrios R, Risanto C, Rosales A, Scaff L, Seimon A, Somos-Valenzuela M, Tian Y, Van Oevelen P, Veloso-Aguila D, Xue L, Schneider T. 2024. Advancing South American Water and Climate Science Through Multi-Decadal Convection-Permitting Modeling. BAMS. DOI: https://doi.org/10.1175/BAMS-D-22-0226.1 |
| Start Year | 2025 |
| Description | Interdisciplinary group developing principles to adopt AI for disaster risk reduction |
| Organisation | Birmingham City University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Chun and Octavianti led discussions on the opportunities and risks of using AI in disaster risk management, drawing directly on insights generated through the LIRIC project. |
| Collaborator Contribution | Our partners contributed substantively through their ideas and co writing of the publications, bringing valuable perspectives shaped by their diverse disciplinary backgrounds and geographical contexts. |
| Impact | https://doi.org/10.1002/widm.70011 |
| Start Year | 2023 |
| Description | Interdisciplinary group developing principles to adopt AI for disaster risk reduction |
| Organisation | Coventry University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Chun and Octavianti led discussions on the opportunities and risks of using AI in disaster risk management, drawing directly on insights generated through the LIRIC project. |
| Collaborator Contribution | Our partners contributed substantively through their ideas and co writing of the publications, bringing valuable perspectives shaped by their diverse disciplinary backgrounds and geographical contexts. |
| Impact | https://doi.org/10.1002/widm.70011 |
| Start Year | 2023 |
| Description | Interdisciplinary group developing principles to adopt AI for disaster risk reduction |
| Organisation | Georgia State University |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Chun and Octavianti led discussions on the opportunities and risks of using AI in disaster risk management, drawing directly on insights generated through the LIRIC project. |
| Collaborator Contribution | Our partners contributed substantively through their ideas and co writing of the publications, bringing valuable perspectives shaped by their diverse disciplinary backgrounds and geographical contexts. |
| Impact | https://doi.org/10.1002/widm.70011 |
| Start Year | 2023 |
| Description | Interdisciplinary group developing principles to adopt AI for disaster risk reduction |
| Organisation | Hellenic Air Force |
| Country | Greece |
| Sector | Public |
| PI Contribution | Chun and Octavianti led discussions on the opportunities and risks of using AI in disaster risk management, drawing directly on insights generated through the LIRIC project. |
| Collaborator Contribution | Our partners contributed substantively through their ideas and co writing of the publications, bringing valuable perspectives shaped by their diverse disciplinary backgrounds and geographical contexts. |
| Impact | https://doi.org/10.1002/widm.70011 |
| Start Year | 2023 |
| Description | Interdisciplinary group developing principles to adopt AI for disaster risk reduction |
| Organisation | University of Barcelona |
| Country | Spain |
| Sector | Academic/University |
| PI Contribution | Chun and Octavianti led discussions on the opportunities and risks of using AI in disaster risk management, drawing directly on insights generated through the LIRIC project. |
| Collaborator Contribution | Our partners contributed substantively through their ideas and co writing of the publications, bringing valuable perspectives shaped by their diverse disciplinary backgrounds and geographical contexts. |
| Impact | https://doi.org/10.1002/widm.70011 |
| Start Year | 2023 |
| Description | Interdisciplinary group developing principles to adopt AI for disaster risk reduction |
| Organisation | University of Birmingham |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Chun and Octavianti led discussions on the opportunities and risks of using AI in disaster risk management, drawing directly on insights generated through the LIRIC project. |
| Collaborator Contribution | Our partners contributed substantively through their ideas and co writing of the publications, bringing valuable perspectives shaped by their diverse disciplinary backgrounds and geographical contexts. |
| Impact | https://doi.org/10.1002/widm.70011 |
| Start Year | 2023 |
| Description | Interdisciplinary group developing principles to adopt AI for disaster risk reduction |
| Organisation | University of California |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Chun and Octavianti led discussions on the opportunities and risks of using AI in disaster risk management, drawing directly on insights generated through the LIRIC project. |
| Collaborator Contribution | Our partners contributed substantively through their ideas and co writing of the publications, bringing valuable perspectives shaped by their diverse disciplinary backgrounds and geographical contexts. |
| Impact | https://doi.org/10.1002/widm.70011 |
| Start Year | 2023 |
| Description | Interdisciplinary group developing principles to adopt AI for disaster risk reduction |
| Organisation | University of Hong Kong |
| Country | Hong Kong |
| Sector | Academic/University |
| PI Contribution | Chun and Octavianti led discussions on the opportunities and risks of using AI in disaster risk management, drawing directly on insights generated through the LIRIC project. |
| Collaborator Contribution | Our partners contributed substantively through their ideas and co writing of the publications, bringing valuable perspectives shaped by their diverse disciplinary backgrounds and geographical contexts. |
| Impact | https://doi.org/10.1002/widm.70011 |
| Start Year | 2023 |
| Description | Interdisciplinary group developing principles to adopt AI for disaster risk reduction |
| Organisation | University of Padova |
| Country | Italy |
| Sector | Academic/University |
| PI Contribution | Chun and Octavianti led discussions on the opportunities and risks of using AI in disaster risk management, drawing directly on insights generated through the LIRIC project. |
| Collaborator Contribution | Our partners contributed substantively through their ideas and co writing of the publications, bringing valuable perspectives shaped by their diverse disciplinary backgrounds and geographical contexts. |
| Impact | https://doi.org/10.1002/widm.70011 |
| Start Year | 2023 |
| Description | Interdisciplinary group developing principles to adopt AI for disaster risk reduction |
| Organisation | University of Sumbawa Besar Samawa |
| Country | Indonesia |
| Sector | Academic/University |
| PI Contribution | Chun and Octavianti led discussions on the opportunities and risks of using AI in disaster risk management, drawing directly on insights generated through the LIRIC project. |
| Collaborator Contribution | Our partners contributed substantively through their ideas and co writing of the publications, bringing valuable perspectives shaped by their diverse disciplinary backgrounds and geographical contexts. |
| Impact | https://doi.org/10.1002/widm.70011 |
| Start Year | 2023 |
| Description | Interdisciplinary group developing principles to adopt AI for disaster risk reduction |
| Organisation | University of Zaragoza |
| Country | Spain |
| Sector | Academic/University |
| PI Contribution | Chun and Octavianti led discussions on the opportunities and risks of using AI in disaster risk management, drawing directly on insights generated through the LIRIC project. |
| Collaborator Contribution | Our partners contributed substantively through their ideas and co writing of the publications, bringing valuable perspectives shaped by their diverse disciplinary backgrounds and geographical contexts. |
| Impact | https://doi.org/10.1002/widm.70011 |
| Start Year | 2023 |
| Description | Interdisciplinary group developing principles to adopt AI for disaster risk reduction |
| Organisation | World Meteorological Organization |
| Country | Switzerland |
| Sector | Public |
| PI Contribution | Chun and Octavianti led discussions on the opportunities and risks of using AI in disaster risk management, drawing directly on insights generated through the LIRIC project. |
| Collaborator Contribution | Our partners contributed substantively through their ideas and co writing of the publications, bringing valuable perspectives shaped by their diverse disciplinary backgrounds and geographical contexts. |
| Impact | https://doi.org/10.1002/widm.70011 |
| Start Year | 2023 |
| Description | Interdisciplinary group developing principles to adopt AI for disaster risk reduction |
| Organisation | Yangzhou University |
| Country | China |
| Sector | Academic/University |
| PI Contribution | Chun and Octavianti led discussions on the opportunities and risks of using AI in disaster risk management, drawing directly on insights generated through the LIRIC project. |
| Collaborator Contribution | Our partners contributed substantively through their ideas and co writing of the publications, bringing valuable perspectives shaped by their diverse disciplinary backgrounds and geographical contexts. |
| Impact | https://doi.org/10.1002/widm.70011 |
| Start Year | 2023 |
| Description | The EURO-FRIEND (Flow Regimes from International Experimental and Network Data - Europe) project is a UNESCO-IHP initiative that studies large-scale hydrological variations, with a dedicated focus on compound hydrological risks. |
| Organisation | Coventry University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Chun leads the Theme C (compound risks) work group for the UNESCO EURO FRIEND-Water Project-3 on Large Scale Variations in Hydrological Characteristics. Leading the co-production of a perspective paper on compound risks based on scaling relationships for hydroclimate. |
| Collaborator Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Impact | A perspective paper under preparation |
| Start Year | 2023 |
| Description | The EURO-FRIEND (Flow Regimes from International Experimental and Network Data - Europe) project is a UNESCO-IHP initiative that studies large-scale hydrological variations, with a dedicated focus on compound hydrological risks. |
| Organisation | Hellenic Air Force |
| Country | Greece |
| Sector | Public |
| PI Contribution | Chun leads the Theme C (compound risks) work group for the UNESCO EURO FRIEND-Water Project-3 on Large Scale Variations in Hydrological Characteristics. Leading the co-production of a perspective paper on compound risks based on scaling relationships for hydroclimate. |
| Collaborator Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Impact | A perspective paper under preparation |
| Start Year | 2023 |
| Description | The EURO-FRIEND (Flow Regimes from International Experimental and Network Data - Europe) project is a UNESCO-IHP initiative that studies large-scale hydrological variations, with a dedicated focus on compound hydrological risks. |
| Organisation | University of Padova |
| Country | Italy |
| Sector | Academic/University |
| PI Contribution | Chun leads the Theme C (compound risks) work group for the UNESCO EURO FRIEND-Water Project-3 on Large Scale Variations in Hydrological Characteristics. Leading the co-production of a perspective paper on compound risks based on scaling relationships for hydroclimate. |
| Collaborator Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Impact | A perspective paper under preparation |
| Start Year | 2023 |
| Description | The EURO-FRIEND (Flow Regimes from International Experimental and Network Data - Europe) project is a UNESCO-IHP initiative that studies large-scale hydrological variations, with a dedicated focus on compound hydrological risks. |
| Organisation | Wageningen University & Research |
| Country | Netherlands |
| Sector | Academic/University |
| PI Contribution | Chun leads the Theme C (compound risks) work group for the UNESCO EURO FRIEND-Water Project-3 on Large Scale Variations in Hydrological Characteristics. Leading the co-production of a perspective paper on compound risks based on scaling relationships for hydroclimate. |
| Collaborator Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Impact | A perspective paper under preparation |
| Start Year | 2023 |
| Description | The EURO-FRIEND (Flow Regimes from International Experimental and Network Data - Europe) project is a UNESCO-IHP initiative that studies large-scale hydrological variations, with a dedicated focus on compound hydrological risks. |
| Organisation | World Meteorological Organization |
| Country | Switzerland |
| Sector | Public |
| PI Contribution | Chun leads the Theme C (compound risks) work group for the UNESCO EURO FRIEND-Water Project-3 on Large Scale Variations in Hydrological Characteristics. Leading the co-production of a perspective paper on compound risks based on scaling relationships for hydroclimate. |
| Collaborator Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Impact | A perspective paper under preparation |
| Start Year | 2023 |
| Description | The activities within the NCAR-SAAG-South America Affinity Group |
| Organisation | Abdus Salam International Centre for Theoretical Physics |
| Country | Italy |
| Sector | Academic/University |
| PI Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Collaborator Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Impact | SAAG bi-weekly meetings: to share studies, experiences and knowledge of the South America hydroclimate. Discussion on different modeling experiments and experiment design. |
| Start Year | 2021 |
| Description | The activities within the NCAR-SAAG-South America Affinity Group |
| Organisation | Laboratory of Climate Sciences and the Environment (LSCE) |
| Country | France |
| Sector | Academic/University |
| PI Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Collaborator Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Impact | SAAG bi-weekly meetings: to share studies, experiences and knowledge of the South America hydroclimate. Discussion on different modeling experiments and experiment design. |
| Start Year | 2021 |
| Description | The activities within the NCAR-SAAG-South America Affinity Group |
| Organisation | National Centre for Atmospheric Research |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Collaborator Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Impact | SAAG bi-weekly meetings: to share studies, experiences and knowledge of the South America hydroclimate. Discussion on different modeling experiments and experiment design. |
| Start Year | 2021 |
| Description | The activities within the NCAR-SAAG-South America Affinity Group |
| Organisation | Universidade de São Paulo |
| Country | Brazil |
| Sector | Academic/University |
| PI Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Collaborator Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Impact | SAAG bi-weekly meetings: to share studies, experiences and knowledge of the South America hydroclimate. Discussion on different modeling experiments and experiment design. |
| Start Year | 2021 |
| Description | The activities within the NCAR-SAAG-South America Affinity Group |
| Organisation | University of Buenos Aires |
| Country | Argentina |
| Sector | Academic/University |
| PI Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Collaborator Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Impact | SAAG bi-weekly meetings: to share studies, experiences and knowledge of the South America hydroclimate. Discussion on different modeling experiments and experiment design. |
| Start Year | 2021 |
| Description | The activities within the NCAR-SAAG-South America Affinity Group |
| Organisation | University of Cantabria |
| Country | Spain |
| Sector | Academic/University |
| PI Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Collaborator Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Impact | SAAG bi-weekly meetings: to share studies, experiences and knowledge of the South America hydroclimate. Discussion on different modeling experiments and experiment design. |
| Start Year | 2021 |
| Description | The activities within the NCAR-SAAG-South America Affinity Group |
| Organisation | University of the West of England |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Collaborator Contribution | Networking, coordination of experiments, capacity building activities, knowledge sharing |
| Impact | SAAG bi-weekly meetings: to share studies, experiences and knowledge of the South America hydroclimate. Discussion on different modeling experiments and experiment design. |
| Start Year | 2021 |
| Description | the International Association of Hydrological Sciences (IAHS), Hydrology Engaging Local People IN one Global world (HELPING) Theme 3 Working Group (WG) "Co-Creating Water Knowledge" |
| Organisation | Imperial College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Chun and Octavianti are co-leading the decolonisation working group. In the working group, we share ideas, build capacities, co-create publications on how to decolonise water science drawing from our projects, including LIRIC. |
| Collaborator Contribution | Networking, capacity building activities, knowledge sharing |
| Impact | • Chun, K., Octavianti, T., Bradford, L., Reeves, M., Nagheeby, M., Olusola, A., Howard, B., Ceperley, N., Castelli, G., Nkwasa, A., Budiyono, Y., Strickert, G., Morales-Marin, L., Sutanto, S., Diele-Viegas, L., & Gopinath, D. (in press). Decolonising Hydrology: Reflecting on positionalities for sustainable and just futures. Environmental Science and Policy.. Available from https://uwe-repository.worktribe.com/output/15715546 • Orieschnig, C., Adla, S., Chun, K. P., Srivastava, S., Morovati, K., Howard, B. C., Octavianti, T., Uchôa, J. G., Duan, Z., Mazzoglio, P., Panchanathan, A., Szeles, B., Koren, G., Papacharalampous, G. A., Pradhananga, D., Soulis, K., Choukrani, H., Dakhlaoui, H., Elçi, A., Zappa, M. (in press). Effective science communication in the face of water crises: A community perspective on challenges and best- Practice in HELPING. Hydrological Sciences Journal.. Available from https://uwe-repository.worktribe.com/output/15661306 |
| Start Year | 2025 |
| Description | the International Association of Hydrological Sciences (IAHS), Hydrology Engaging Local People IN one Global world (HELPING) Theme 3 Working Group (WG) "Co-Creating Water Knowledge" |
| Organisation | University of Bern |
| Country | Switzerland |
| Sector | Academic/University |
| PI Contribution | Chun and Octavianti are co-leading the decolonisation working group. In the working group, we share ideas, build capacities, co-create publications on how to decolonise water science drawing from our projects, including LIRIC. |
| Collaborator Contribution | Networking, capacity building activities, knowledge sharing |
| Impact | • Chun, K., Octavianti, T., Bradford, L., Reeves, M., Nagheeby, M., Olusola, A., Howard, B., Ceperley, N., Castelli, G., Nkwasa, A., Budiyono, Y., Strickert, G., Morales-Marin, L., Sutanto, S., Diele-Viegas, L., & Gopinath, D. (in press). Decolonising Hydrology: Reflecting on positionalities for sustainable and just futures. Environmental Science and Policy.. Available from https://uwe-repository.worktribe.com/output/15715546 • Orieschnig, C., Adla, S., Chun, K. P., Srivastava, S., Morovati, K., Howard, B. C., Octavianti, T., Uchôa, J. G., Duan, Z., Mazzoglio, P., Panchanathan, A., Szeles, B., Koren, G., Papacharalampous, G. A., Pradhananga, D., Soulis, K., Choukrani, H., Dakhlaoui, H., Elçi, A., Zappa, M. (in press). Effective science communication in the face of water crises: A community perspective on challenges and best- Practice in HELPING. Hydrological Sciences Journal.. Available from https://uwe-repository.worktribe.com/output/15661306 |
| Start Year | 2025 |
| Description | the International Association of Hydrological Sciences (IAHS), Hydrology Engaging Local People IN one Global world (HELPING) Theme 3 Working Group (WG) "Co-Creating Water Knowledge" |
| Organisation | University of Newcastle |
| Country | Australia |
| Sector | Academic/University |
| PI Contribution | Chun and Octavianti are co-leading the decolonisation working group. In the working group, we share ideas, build capacities, co-create publications on how to decolonise water science drawing from our projects, including LIRIC. |
| Collaborator Contribution | Networking, capacity building activities, knowledge sharing |
| Impact | • Chun, K., Octavianti, T., Bradford, L., Reeves, M., Nagheeby, M., Olusola, A., Howard, B., Ceperley, N., Castelli, G., Nkwasa, A., Budiyono, Y., Strickert, G., Morales-Marin, L., Sutanto, S., Diele-Viegas, L., & Gopinath, D. (in press). Decolonising Hydrology: Reflecting on positionalities for sustainable and just futures. Environmental Science and Policy.. Available from https://uwe-repository.worktribe.com/output/15715546 • Orieschnig, C., Adla, S., Chun, K. P., Srivastava, S., Morovati, K., Howard, B. C., Octavianti, T., Uchôa, J. G., Duan, Z., Mazzoglio, P., Panchanathan, A., Szeles, B., Koren, G., Papacharalampous, G. A., Pradhananga, D., Soulis, K., Choukrani, H., Dakhlaoui, H., Elçi, A., Zappa, M. (in press). Effective science communication in the face of water crises: A community perspective on challenges and best- Practice in HELPING. Hydrological Sciences Journal.. Available from https://uwe-repository.worktribe.com/output/15661306 |
| Start Year | 2025 |
| Description | the International Association of Hydrological Sciences (IAHS), Hydrology Engaging Local People IN one Global world (HELPING) Theme 3 Working Group (WG) "Co-Creating Water Knowledge" |
| Organisation | University of Saskatchewan |
| Country | Canada |
| Sector | Academic/University |
| PI Contribution | Chun and Octavianti are co-leading the decolonisation working group. In the working group, we share ideas, build capacities, co-create publications on how to decolonise water science drawing from our projects, including LIRIC. |
| Collaborator Contribution | Networking, capacity building activities, knowledge sharing |
| Impact | • Chun, K., Octavianti, T., Bradford, L., Reeves, M., Nagheeby, M., Olusola, A., Howard, B., Ceperley, N., Castelli, G., Nkwasa, A., Budiyono, Y., Strickert, G., Morales-Marin, L., Sutanto, S., Diele-Viegas, L., & Gopinath, D. (in press). Decolonising Hydrology: Reflecting on positionalities for sustainable and just futures. Environmental Science and Policy.. Available from https://uwe-repository.worktribe.com/output/15715546 • Orieschnig, C., Adla, S., Chun, K. P., Srivastava, S., Morovati, K., Howard, B. C., Octavianti, T., Uchôa, J. G., Duan, Z., Mazzoglio, P., Panchanathan, A., Szeles, B., Koren, G., Papacharalampous, G. A., Pradhananga, D., Soulis, K., Choukrani, H., Dakhlaoui, H., Elçi, A., Zappa, M. (in press). Effective science communication in the face of water crises: A community perspective on challenges and best- Practice in HELPING. Hydrological Sciences Journal.. Available from https://uwe-repository.worktribe.com/output/15661306 |
| Start Year | 2025 |
| Description | the International Association of Hydrological Sciences (IAHS), Hydrology Engaging Local People IN one Global world (HELPING) Theme 3 Working Group (WG) "Co-Creating Water Knowledge" |
| Organisation | Wageningen University & Research |
| Country | Netherlands |
| Sector | Academic/University |
| PI Contribution | Chun and Octavianti are co-leading the decolonisation working group. In the working group, we share ideas, build capacities, co-create publications on how to decolonise water science drawing from our projects, including LIRIC. |
| Collaborator Contribution | Networking, capacity building activities, knowledge sharing |
| Impact | • Chun, K., Octavianti, T., Bradford, L., Reeves, M., Nagheeby, M., Olusola, A., Howard, B., Ceperley, N., Castelli, G., Nkwasa, A., Budiyono, Y., Strickert, G., Morales-Marin, L., Sutanto, S., Diele-Viegas, L., & Gopinath, D. (in press). Decolonising Hydrology: Reflecting on positionalities for sustainable and just futures. Environmental Science and Policy.. Available from https://uwe-repository.worktribe.com/output/15715546 • Orieschnig, C., Adla, S., Chun, K. P., Srivastava, S., Morovati, K., Howard, B. C., Octavianti, T., Uchôa, J. G., Duan, Z., Mazzoglio, P., Panchanathan, A., Szeles, B., Koren, G., Papacharalampous, G. A., Pradhananga, D., Soulis, K., Choukrani, H., Dakhlaoui, H., Elçi, A., Zappa, M. (in press). Effective science communication in the face of water crises: A community perspective on challenges and best- Practice in HELPING. Hydrological Sciences Journal.. Available from https://uwe-repository.worktribe.com/output/15661306 |
| Start Year | 2025 |
| Description | the International Association of Hydrological Sciences (IAHS), Hydrology Engaging Local People IN one Global world (HELPING) Theme 3 Working Group (WG) "Co-Creating Water Knowledge" |
| Organisation | York University Toronto |
| Country | Canada |
| Sector | Academic/University |
| PI Contribution | Chun and Octavianti are co-leading the decolonisation working group. In the working group, we share ideas, build capacities, co-create publications on how to decolonise water science drawing from our projects, including LIRIC. |
| Collaborator Contribution | Networking, capacity building activities, knowledge sharing |
| Impact | • Chun, K., Octavianti, T., Bradford, L., Reeves, M., Nagheeby, M., Olusola, A., Howard, B., Ceperley, N., Castelli, G., Nkwasa, A., Budiyono, Y., Strickert, G., Morales-Marin, L., Sutanto, S., Diele-Viegas, L., & Gopinath, D. (in press). Decolonising Hydrology: Reflecting on positionalities for sustainable and just futures. Environmental Science and Policy.. Available from https://uwe-repository.worktribe.com/output/15715546 • Orieschnig, C., Adla, S., Chun, K. P., Srivastava, S., Morovati, K., Howard, B. C., Octavianti, T., Uchôa, J. G., Duan, Z., Mazzoglio, P., Panchanathan, A., Szeles, B., Koren, G., Papacharalampous, G. A., Pradhananga, D., Soulis, K., Choukrani, H., Dakhlaoui, H., Elçi, A., Zappa, M. (in press). Effective science communication in the face of water crises: A community perspective on challenges and best- Practice in HELPING. Hydrological Sciences Journal.. Available from https://uwe-repository.worktribe.com/output/15661306 |
| Start Year | 2025 |