EGU26-1971, updated on 13 Mar 2026
https://doi.org/10.5194/egusphere-egu26-1971
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Thursday, 07 May, 09:35–09:45 (CEST)
 
Room 2.17
From Warnings to Early Action: Community-Led Risk Communication and Engagement in Multi-Hazard Early Warning Systems
Prakash Khadka, Sanchita Neupane, Astha Pradhanang, and Vibek Manandhar
Prakash Khadka et al.
  • People In Need (PIN), Climate and Resilience, Kathmandu, Nepal (prakash.khadka@peopleinneed.net)

For early warning systems (EWS) to translate into timely, protective early actions, particularly in the contexts marked by deep social, linguistic, and structural inequalities, effective risk communication and community engagement (RCCE) are essential. In Nepal, the Resilience, Adaptation and Inclusion in Nepal (RAIN) programme demonstrates a holistic, community-led approach for strengthening RCCE by embedding behavioural and psychological insights, fostering trust, and creating inclusive communication pathways that target the most vulnerable groups. RAIN, which is designed to support transformative impact for resilience, adaptation, and inclusion through a community-led approach, places community organisations, local governments, and at-risk populations such as landless communities, persons with disabilities, ethnic minorities, women, and girls at the centre of the early warning and early action system. This abstract examines how RAIN put RCCE into practice to improve the accessibility, credibility, and behavioural effectiveness of warnings across multiple hazards. 

RAIN addresses a core challenge in Nepal’s EWS landscape, i.e., existing alerts are highly technical, often inaccessible to non-native Nepali speakers, and do not convey clear, actionable behaviour. Realizing that people act on warnings only when they trust the source, understand the message, and see its relevance, the programme has redesigned communication flows to be community-centred, multi-lingual, and multi-modal. Behavioural insights ranging from simplifying messages and making actions concrete to tailoring messages to literacy levels and reinforcing social norms through trusted local actors to shape how communities receive and interpret alerts. Community-based organisations (CBOs) and committees become active co-designers and disseminators of warnings, leveraging their embedded trust to increase credibility, reduce uncertainty, and motivate action.

To overcome structural and psychological barriers such as low-risk perception, fatalism, gender norms restricting mobility, and limited trust in government systems, RAIN strengthens risk communication channels. These include Interactive Voice Response (IVR) systems, door-to-door dissemination, mobilisation of community volunteers, sign language videos, and accessible formats for people with disabilities to support different communication needs. The programme also integrates locally relevant languages and culturally grounded communication approaches, acknowledging that linguistic relevance and cultural resonance are crucial for behavioural uptake. By incorporating Organisations of Persons with Disabilities (OPDs) and diverse CBO networks, RAIN enhances inclusive communication, adaptive behaviour, and equitable access to life-saving information. 

At the system level, RCCE is institutionalised through collaboration with the Department of Hydrology and Meteorology (DHM), the National Disaster Risk Reduction and Management Authority (NDRRMA), provincial governments, and local governments, ensuring standardised message templates, impact-based forecasting, and a strengthened communication flow that connects scientific information to community understanding from information producers to at-risk communities. The programme’s localisation model will build trust over time by enabling communities not only to receive warnings but also to shape how warnings are generated, translated, disseminated, and acted upon. 

Overall, RAIN offers a scalable model for RCCE that demonstrates how deeply rooted behavioural insights, trusted community actors, inclusive communication technologies, and systemic coordination can together ensure that early warnings effectively reach and are acted upon by the people who need them most.

How to cite: Khadka, P., Neupane, S., Pradhanang, A., and Manandhar, V.: From Warnings to Early Action: Community-Led Risk Communication and Engagement in Multi-Hazard Early Warning Systems, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-1971, https://doi.org/10.5194/egusphere-egu26-1971, 2026.