Resources

Online Resources

The I-CISK Online Climate Services Platform

The I-CISK Massive Open Online Course (MOOC)

MOOC for Co-Creation of Human-Centred Climate Services
Note: Opens a new page in IHE-Delft Open CourseWare (requires registration)

Public Deliverables

The main deliverables of the project can be found in the links below (please note some may only be available under request from the coordinator - pending publication)

The Living Labs

D1.1 I-CISK Characterization of the Living Labs

D1.2 I-CISK Roadmap of collaboration among WP1 (Living Labs) and WP2-WP7

D1.3 A critical reflection on the co-creation process for the next generation of climate services: the I-CISK experience with the living labs and multi-actor platforms

D1.4 Theory of change and impact of climate services co-creation across the I- CISK Living Labs

Co-designing user-driven climate services

Milestone MS10 A prototype framework on co-creating end-user centred climate services (Please refer to D2.8)
D2.1 I-CISK Information on Climate Services Needs and Gaps

D2.2 Concepts and methods to characterise local and scientific knowledge

D2.3 User centred validation of the integration of climate action information

D2.4 Information on climate service needs and gaps

D2.5 User Centred Validation of Climate Risk Knowledge Integration - Using Decision Timelines for Collecting, Understanding, and Integrating Local Knowledge

D2.6 Integration of climate action information

D2.7 Understanding Drivers for Behavioural Change in the Living Labs

D2.8 A guideline for end-user centred co-creation of Climate Services across Europe and beyond

Integrating local knowledge to transform scientific data into user-tailored information

D3.1 Preliminary report on the skill assessment and comparison of state-of-the-art methods for forecasts and projections of extremes

D3.2 Skill assessment and comparison of state of the art methods for forecasts and projections of extremes

D3.3 Benchmarking tailored climate services for local applications using local knowledge and data

D3.4 Assessment of Existing and Tailored Climate Services using a range of User-Driven Evaluation Metrics

D3.5 Categorisation and evaluation of visualisation practices for communicating uncertain predictions in climate services

Assessment of the human-climate feedbacks at different spatialtemporal scales

D4.1 Preliminary report on causal mechanisms between climate change, climate service information, and socio-economic behaviour

D4.2 Conceptual framework for unpacking the causal mechanisms between climate change, climate service information, and socioeconomic behaviour

D4.3 Quantifying long-term patterns between adaptation actions, socio-economic behaviours, and climate service information

D4.4 Participatory modelling for allowing citizens, stakeholders and decision‐makers to become active players in climate action

D4.5 Bi-directional feedbacks between adaptation actions and climate service information

Climate service implementation and Business development

D5.1 I-CISK platform – Technical Specification

D5.2 Climate Data and Front and Back‐End Components of the I‐CISK Climate Service Platform

D5.3 Climate Data and Front and Back‐End Components of the I‐CISK Climate Service Platform

D5.4 - I-CISK Platform Final Technical Specification and Platform Manual

D5.5 Business model storylines for sustainable CS exploitation in the Living Labs

Dissemination and Communication

D6.1 Communication and Dissemination Strategy and Plan
D6.2 I-CISK Website and Digital Presence
D6.3 Communication and Dissemination Activities
D6.4 Policy Brief #1: Crossing the last mile in climate services: Putting policies into action (Joint policy brief with the LOCALISED, RethinkAction and REACHOUT projects

D6.5 Policy Brief #2: Activating global climate data through co-creating local climate services: Early warning systems used by all

D6.6 Policy Brief #3: Translating Climate Services Policies into Actions: Recommendations from Seven Living Labs in Europe and Africa

D6.7 Exploitation and Sustainability plan
D6.8 MOOC for Co-Creation of Human-Centred Climate Services
D6.9 An online guideline to co-creation of Human Centred Climate Services

Project Management

D7.1 I-CISK Gender Action Plan
D7.2 I-CISK Data Management Plan (Updated)

Impact Modelling and Evaluation - Overarching Theory of Change Narrative

Publications

Research and Innovation from the project has contributed to the following publications by project partners

[1] Dasgupta, A., Arnal, L., Emerton, R., Harrigan, S., Matthews, G., Muhammad, A., O'Regan, K., Pérez-Ciria, T., Valdez, E., van Osnabrugge, B., Werner, M., Buontempo, C., Cloke, H., Pappenberger, F., Pechlivanidis, I. G., Prudhomme, C., Ramos, M.-H., & Salamon, P. (2023). Connecting hydrological modelling and forecasting from global to local scales: Perspectives from an international joint virtual workshop. Journal of Flood Risk Management,e12880. https://doi.org/10.1111/jfr3.12880

[2] Musuuza, J. L., Crochemore, L., & Pechlivanidis, I. G. (2023). Evaluation of earth observations and in situ data assimilation for seasonal hydrological forecasting. Water Resources Research, 59, e2022WR033655. https://doi.org/10.1029/2022WR033655

[3] Du, Y., Clemenzi, I., & Pechlivanidis, I. G. (2023). Hydrological regimes explain the seasonal predictability of streamflow extremes. Environmental Research Letters, 18(9). https://doi.org/10.1088/1748-9326/acf678

[4] Shyrokaya, A., Pappenberger, F., Pechlivanidis, I., Messori, G., Khatami, S., Mazzoleni, M., & di Baldassarre, G. (2024). Advances and gaps in the science and practice of impact-based forecasting of droughts. Wiley Interdisciplinary Reviews: Water, 11(2). https://doi.org/10.1002/wat2.1698

[5] Biella, R., Mazzoleni, M., Brandimarte, L., & di Baldassarre, G. (2024). Thinking systemically about climate services: Using archetypes to reveal maladaptation. Climate Services, 34. https://doi.org/10.1016/j.cliser.2024.100490

[6] Muller, L. C. F. E., Schaafsma, M., Mazzoleni, M., & van Loon, A. F. (2024). Responding to climate services in the context of drought: A systematic review. In Climate Services (Vol. 35). Elsevier B.V. https://doi.org/10.1016/j.cliser.2024.100493

[7] van Loon, A. F., Kchouk, S., Matanó, A., Tootoonchi, F., Alvarez-Garreton, C., Hassaballah, K. E. A., Wu, M., Wens, M. L. K., Shyrokaya, A., Ridolfi, E., Biella, R., Nagavciuc, V., Barendrecht, M. H., Bastos, A., Cavalcante, L., de Vries, F. T., Garcia, M., Mård, J., Streefkerk, I. N., … Werner, M. (2024). Review article: Drought as a continuum – memory effects in interlinked hydrological, ecological, and social systems. Natural Hazards and Earth System Sciences, 24(9), 3173–3205. https://doi.org/10.5194/nhess-24-3173-2024

[8] Trojer, F., Téllez, L., Pesquer, L., Ninyerola M.(2024). Evaluating the contribution of auxiliary observations for climate mapping: a case study in the Guadalquivir region. GeoFocus, Revista Internacional de Ciencia y Tecnología de la Información Geográfica(Articles),33,77-128. http://dx.doi.org/10.21138/GF.830

[9] Pechlivanidis, I. G., Du, Y., Bennett, J., Boucher, M. A., Chang, A. Y. Y., Crochemore, L., Dasgupta, A., Baldassarre, G. di, Luterbacher, J., Pappenberger, F., Ramos, M. H., Slater, L., Uhlenbrook, S., Wetterhall, F., Wood, A., Lavado-Casimiro, W., Yoshimura, K., Imhoff, R., van Oevelen, P. J., … Werner, M. (2025). Enhancing Research-to-Operations in Hydrological Forecasting: Innovations across Scales and Horizons. Bulletin of the American Meteorological Society, 106(5), E894–E919.https://doi.org/10.1175/BAMS-D-24-0322.1

[10] Du, Y., & Pechlivanidis, I. G. (2025). Hybrid approaches enhance hydrological model usability for local streamflow prediction. Communications Earth and Environment, 6(1). https://doi.org/10.1038/s43247-025-02324-y

[11] Masih, I. (2025). An evaluation of the alignment of drought policy and planning guidelines with the contemporary disaster risk reduction agenda. Natural Hazards and Earth System Sciences, 25(7), 2155–2178. https://doi.org/10.5194/nhess-25-2155-2025

[12] Ropero Szymañska, N., Hernández-Mora, N., & de Stefano, L. (2025). Characterizing adaptation responses to drought risk of livestock farmers in the Spanish dehesa agroforestry system. Frontiers in Environmental Science, 13. https://doi.org/10.3389/fenvs.2025.1540818

[13] Pechlivanidis, I. G., & Crochemore, L. (2025). Skill-informed seamless communication of European S2S hydrological forecasts. Environmental Research Letters , 20(7). https://doi.org/10.1088/1748-9326/ade0d7

[14] Pechlivanidis, I. G., & Musuuza, J. L. (2025). Customizing large-scale hydrological models: Harnessing the open data realm for impactful local applications. Journal of Hydrology: Regional Studies, 59. https://doi.org/10.1016/j.ejrh.2025.102390

[15] Nyamakura, B., Masih, I., Werner, M., Hermans, L., & Jewitt, G. (2025). Typologies of climate service co-creation approaches in practice. Climate Services, 40, 100607. https://doi.org/10.1016/j.cliser.2025.100607

[16] Biella, R., Shyrokaya, A., Ionita, M., Vignola, R., Sutanto, S. J., Todorovic, A., Teutschbein, C., Cid, D., Llasat, M. C., Alencar, P., Matanó, A., Ridolfi, E., Moccia, B., Pechlivanidis, I., van Loon, A., Wendt, D. E., Stenfors, E., Russo, F., Vidal, J.-P., … Tallaksen, L. M. (2025). The 2022 drought needs to be a turning point for European drought risk management. Natural Hazards and Earth System Sciences, 25(11), 4475–4501. https://doi.org/10.5194/nhess-25-4475-2025

[17] Girons Lopez, M., Bosshard, T., Crochemore, L.,Pechlivanidis, I.G., 2025, ‘Leveraging GCM-based forecasts for enhanced seasonal streamflow prediction in diverse hydrological regimes’, Journal of Hydrology, 650, 132504, https://doi.org/10.1016/j.jhydrol.2024.132504