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The role of global data sets for riverine flood risk management at national scales by Bernhofen, M. V., Cooper, S., Trigg, M., Mdee, A., Carr, A., Bhave, A., Solano-Correa, Y. T., Pencue-Fierro, E. L., Teferi, E., Haile, Alemseged Tamiru, Yusop, Z., Alias, N. E., Sa'adi, Z., Ramzan, M. A. B., Dhanya, C. T., Shukla, P.

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Obscuring complexity and performing progress: unpacking SDG indicator 6.5.1 and the implementation of IWRM by Mdee, A., Ofori, A. D., Cohen, J., Kjellén, M., Rooney, E., Singhal, S., Amezaga, J., Ankush, Figueroa-Benítez, A., Gupta, S., Haile, Alemseged Tamiru, Haileslassie, A., Kongo, V., Kumar, A., Noguera, S. A. M., Nagheeby, M., Noor, Z. Z., Polaine, X., Singh, N., Sylvester, R., Wan Ahmad Tajuddin, W. A. N., Yusop, Z. B., Zúñiga-Barragán, J.

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Does a citizen science approach enhance the effectiveness of flood early warning systems? Evidence from the Akaki Catchment, Ethiopia by Nigussie, Likimyelesh, Bekele, Tilaye Worku, Haile, Alemseged Tamiru, Mdee, A., Nicol, Alan, Cohen, J., Osei-Amponsah, Charity, Tedla, H. Z., Demissie, Kirubel

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