Resources

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

Co-designing user-driven climate services

Milestone MS10 A prototype framework on co-creating end-user centred climate services
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
D2.5 User Centred Validation of Climate Risk Knowledge Integration - Using Decision Timelines for Collecting, Understanding, and Integrating Local Knowledge (Submitted to EU. Available on request from coordinator)
D2.6 Integration of climate action information (Submitted to EU. Available on request from coordinator)

Integrating local knowledge to transform scientific data into usertailored 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

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

[7] 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