Articles | Volume 23, issue 9
https://doi.org/10.5194/nhess-23-2915-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-23-2915-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Linking reported drought impacts with drought indices, water scarcity and aridity: the case of Kenya
Hydrology and Environmental Hydraulics Group (HWM), Wageningen University & Research, Wageningen, the Netherlands
now at: Water Resources Management (WRM), Wageningen University & Research (WUR), Wageningen, the Netherlands
Alessia Matanó
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
Anne F. Van Loon
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
Rhoda A. Odongo
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
Aklilu D. Teklesadik
510, An initiative of the Netherlands Red Cross, The Hague, the Netherlands
Charles N. Wamucii
Hydrology and Environmental Hydraulics Group (HWM), Wageningen University & Research, Wageningen, the Netherlands
Marc J. C. van den Homberg
510, An initiative of the Netherlands Red Cross, The Hague, the Netherlands
Shamton Waruru
Forecast-based Preparedness and Action, Department of Early Warning System, National Drought Management Authority (NDMA), Nairobi, Kenya
Hydrology and Environmental Hydraulics Group (HWM), Wageningen University & Research, Wageningen, the Netherlands
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This preprint is open for discussion and under review for Geoscience Communication (GC).
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Hydrol. Earth Syst. Sci., 29, 2749–2764, https://doi.org/10.5194/hess-29-2749-2025, https://doi.org/10.5194/hess-29-2749-2025, 2025
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Devi Purnamasari, Adriaan J. Teuling, and Albrecht H. Weerts
Hydrol. Earth Syst. Sci., 29, 1483–1503, https://doi.org/10.5194/hess-29-1483-2025, https://doi.org/10.5194/hess-29-1483-2025, 2025
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EGUsphere, https://doi.org/10.5194/egusphere-2025-673, https://doi.org/10.5194/egusphere-2025-673, 2025
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EGUsphere, https://doi.org/10.5194/egusphere-2024-2382, https://doi.org/10.5194/egusphere-2024-2382, 2024
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In East Africa are conflict over water and vegetation prominent. On top of that, water abstraction of commercial farms are increasing the competition of water. Therefore, this study has developed a model which can investigate what the influence is of these farming activities on the water balance of the region and people's livelihood activities in times of dry periods. We do that by ‘replacing’ the farms in the model, and see what the effect would be if there were communities or forests instead.
Anne F. Van Loon, Sarra Kchouk, Alessia Matanó, Faranak Tootoonchi, Camila Alvarez-Garreton, Khalid E. A. Hassaballah, Minchao Wu, Marthe L. K. Wens, Anastasiya Shyrokaya, Elena Ridolfi, Riccardo Biella, Viorica Nagavciuc, Marlies H. Barendrecht, Ana Bastos, Louise Cavalcante, Franciska T. de Vries, Margaret Garcia, Johanna Mård, Ileen N. Streefkerk, Claudia Teutschbein, Roshanak Tootoonchi, Ruben Weesie, Valentin Aich, Juan P. Boisier, Giuliano Di Baldassarre, Yiheng Du, Mauricio Galleguillos, René Garreaud, Monica Ionita, Sina Khatami, Johanna K. L. Koehler, Charles H. Luce, Shreedhar Maskey, Heidi D. Mendoza, Moses N. Mwangi, Ilias G. Pechlivanidis, Germano G. Ribeiro Neto, Tirthankar Roy, Robert Stefanski, Patricia Trambauer, Elizabeth A. Koebele, Giulia Vico, and Micha Werner
Nat. Hazards Earth Syst. Sci., 24, 3173–3205, https://doi.org/10.5194/nhess-24-3173-2024, https://doi.org/10.5194/nhess-24-3173-2024, 2024
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Adriaan J. Teuling, Belle Holthuis, and Jasper F. D. Lammers
Hydrol. Earth Syst. Sci., 28, 3799–3806, https://doi.org/10.5194/hess-28-3799-2024, https://doi.org/10.5194/hess-28-3799-2024, 2024
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The understanding of spatio-temporal variability of evapotranspiration (ET) is currently limited by a lack of measurement techniques that are low cost and that can be applied anywhere at any time. Here we show that evapotranspiration can be estimated accurately using observations made by smartphone sensors, suggesting that smartphone-based ET monitoring could provide a realistic and low-cost alternative for real-time ET estimation in the field.
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EGUsphere, https://doi.org/10.5194/egusphere-2024-2069, https://doi.org/10.5194/egusphere-2024-2069, 2024
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This research by the Drought in the Anthropocene (DitA) network highlights gaps in European drought management exposed by the 2022 drought and proposes a new direction. Using a Europe-wide survey of water managers, we examine four areas: increasing drought risk, impacts, drought management strategies, and their evolution. Despite growing risks, management remains fragmented and short-term. However, signs of improvement suggest readiness for change. We advocate for a European Drought Directive.
Charles Nduhiu Wamucii, Pieter R. van Oel, Adriaan J. Teuling, Arend Ligtenberg, John Mwangi Gathenya, Gert Jan Hofstede, Meine van Noordwijk, and Erika N. Speelman
Hydrol. Earth Syst. Sci., 28, 3495–3518, https://doi.org/10.5194/hess-28-3495-2024, https://doi.org/10.5194/hess-28-3495-2024, 2024
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The study explored the role of serious gaming in strengthening stakeholder engagement in addressing human–water challenges. The gaming approach guided community discussions toward implementable decisions. The results showed increased active participation, knowledge gain, and use of plural pronouns. We observed decreased individual interests and conflicts among game participants. The study presents important implications for creating a collective basis for water resources management.
Jasper M. C. Denissen, Adriaan J. Teuling, Sujan Koirala, Markus Reichstein, Gianpaolo Balsamo, Martha M. Vogel, Xin Yu, and René Orth
Earth Syst. Dynam., 15, 717–734, https://doi.org/10.5194/esd-15-717-2024, https://doi.org/10.5194/esd-15-717-2024, 2024
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Heat extremes have severe implications for human health and ecosystems. Heat extremes are mostly introduced by large-scale atmospheric circulation but can be modulated by vegetation. Vegetation with access to water uses solar energy to evaporate water into the atmosphere. Under dry conditions, water may not be available, suppressing evaporation and heating the atmosphere. Using climate projections, we show that regionally less water is available for vegetation, intensifying future heat extremes.
Mersedeh Kooshki Forooshani, Marc van den Homberg, Kyriaki Kalimeri, Andreas Kaltenbrunner, Yelena Mejova, Leonardo Milano, Pauline Ndirangu, Daniela Paolotti, Aklilu Teklesadik, and Monica L. Turner
Nat. Hazards Earth Syst. Sci., 24, 309–329, https://doi.org/10.5194/nhess-24-309-2024, https://doi.org/10.5194/nhess-24-309-2024, 2024
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We improve an existing impact forecasting model for the Philippines by transforming the target variable (percentage of damaged houses) to a fine grid, using only features which are globally available. We show that our two-stage model conserves the performance of the original and even has the potential to introduce savings in anticipatory action resources. Such model generalizability is important in increasing the applicability of such tools around the world.
Awad M. Ali, Lieke A. Melsen, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 27, 4057–4086, https://doi.org/10.5194/hess-27-4057-2023, https://doi.org/10.5194/hess-27-4057-2023, 2023
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Using a new approach based on a combination of modeling and Earth observation, useful information about the filling of the Grand Ethiopian Renaissance Dam can be obtained with limited data and proper rainfall selection. While the monthly streamflow into Sudan has decreased significantly (1.2 × 109–5 × 109 m3) with respect to the non-dam scenario, the negative impact has been masked due to higher-than-average rainfall. We reveal that the dam will need 3–5 more years to complete filling.
Rhoda A. Odongo, Hans De Moel, and Anne F. Van Loon
Nat. Hazards Earth Syst. Sci., 23, 2365–2386, https://doi.org/10.5194/nhess-23-2365-2023, https://doi.org/10.5194/nhess-23-2365-2023, 2023
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We characterize meteorological (P), soil moisture (SM) and hydrological (Q) droughts and the propagation from one to the other for 318 catchments in the Horn of Africa. We find that propagation from P to SM is influenced by soil properties and vegetation, while propagation from P to Q is from catchment-scale hydrogeological properties (i.e. geology, slope). We provide precipitation accumulation periods at the subbasin level that can be used as a proxy in drought forecasting in dryland regions.
Adrià Fontrodona-Bach, Bettina Schaefli, Ross Woods, Adriaan J. Teuling, and Joshua R. Larsen
Earth Syst. Sci. Data, 15, 2577–2599, https://doi.org/10.5194/essd-15-2577-2023, https://doi.org/10.5194/essd-15-2577-2023, 2023
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We provide a dataset of snow water equivalent, the depth of liquid water that results from melting a given depth of snow. The dataset contains 11 071 sites over the Northern Hemisphere, spans the period 1950–2022, and is based on daily observations of snow depth on the ground and a model. The dataset fills a lack of accessible historical ground snow data, and it can be used for a variety of applications such as the impact of climate change on global and regional snow and water resources.
Heidi Kreibich, Kai Schröter, Giuliano Di Baldassarre, Anne F. Van Loon, Maurizio Mazzoleni, Guta Wakbulcho Abeshu, Svetlana Agafonova, Amir AghaKouchak, Hafzullah Aksoy, Camila Alvarez-Garreton, Blanca Aznar, Laila Balkhi, Marlies H. Barendrecht, Sylvain Biancamaria, Liduin Bos-Burgering, Chris Bradley, Yus Budiyono, Wouter Buytaert, Lucinda Capewell, Hayley Carlson, Yonca Cavus, Anaïs Couasnon, Gemma Coxon, Ioannis Daliakopoulos, Marleen C. de Ruiter, Claire Delus, Mathilde Erfurt, Giuseppe Esposito, Didier François, Frédéric Frappart, Jim Freer, Natalia Frolova, Animesh K. Gain, Manolis Grillakis, Jordi Oriol Grima, Diego A. Guzmán, Laurie S. Huning, Monica Ionita, Maxim Kharlamov, Dao Nguyen Khoi, Natalie Kieboom, Maria Kireeva, Aristeidis Koutroulis, Waldo Lavado-Casimiro, Hong-Yi Li, Maria Carmen LLasat, David Macdonald, Johanna Mård, Hannah Mathew-Richards, Andrew McKenzie, Alfonso Mejia, Eduardo Mario Mendiondo, Marjolein Mens, Shifteh Mobini, Guilherme Samprogna Mohor, Viorica Nagavciuc, Thanh Ngo-Duc, Huynh Thi Thao Nguyen, Pham Thi Thao Nhi, Olga Petrucci, Nguyen Hong Quan, Pere Quintana-Seguí, Saman Razavi, Elena Ridolfi, Jannik Riegel, Md Shibly Sadik, Nivedita Sairam, Elisa Savelli, Alexey Sazonov, Sanjib Sharma, Johanna Sörensen, Felipe Augusto Arguello Souza, Kerstin Stahl, Max Steinhausen, Michael Stoelzle, Wiwiana Szalińska, Qiuhong Tang, Fuqiang Tian, Tamara Tokarczyk, Carolina Tovar, Thi Van Thu Tran, Marjolein H. J. van Huijgevoort, Michelle T. H. van Vliet, Sergiy Vorogushyn, Thorsten Wagener, Yueling Wang, Doris E. Wendt, Elliot Wickham, Long Yang, Mauricio Zambrano-Bigiarini, and Philip J. Ward
Earth Syst. Sci. Data, 15, 2009–2023, https://doi.org/10.5194/essd-15-2009-2023, https://doi.org/10.5194/essd-15-2009-2023, 2023
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As the adverse impacts of hydrological extremes increase in many regions of the world, a better understanding of the drivers of changes in risk and impacts is essential for effective flood and drought risk management. We present a dataset containing data of paired events, i.e. two floods or two droughts that occurred in the same area. The dataset enables comparative analyses and allows detailed context-specific assessments. Additionally, it supports the testing of socio-hydrological models.
Colin Manning, Martin Widmann, Douglas Maraun, Anne F. Van Loon, and Emanuele Bevacqua
Weather Clim. Dynam., 4, 309–329, https://doi.org/10.5194/wcd-4-309-2023, https://doi.org/10.5194/wcd-4-309-2023, 2023
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Climate models differ in their representation of dry spells and high temperatures, linked to errors in the simulation of persistent large-scale anticyclones. Models that simulate more persistent anticyclones simulate longer and hotter dry spells, and vice versa. This information is important to consider when assessing the likelihood of such events in current and future climate simulations so that we can assess the plausibility of their future projections.
Raed Hamed, Sem Vijverberg, Anne F. Van Loon, Jeroen Aerts, and Dim Coumou
Earth Syst. Dynam., 14, 255–272, https://doi.org/10.5194/esd-14-255-2023, https://doi.org/10.5194/esd-14-255-2023, 2023
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Spatially compounding soy harvest failures can have important global impacts. Using causal networks, we show that soy yields are predominately driven by summer soil moisture conditions in North and South America. Summer soil moisture is affected by antecedent soil moisture and by remote extra-tropical SST patterns in both hemispheres. Both of these soil moisture drivers are again influenced by ENSO. Our results highlight physical pathways by which ENSO can drive spatially compounding impacts.
Luuk D. van der Valk, Adriaan J. Teuling, Luc Girod, Norbert Pirk, Robin Stoffer, and Chiel C. van Heerwaarden
The Cryosphere, 16, 4319–4341, https://doi.org/10.5194/tc-16-4319-2022, https://doi.org/10.5194/tc-16-4319-2022, 2022
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Most large-scale hydrological and climate models struggle to capture the spatially highly variable wind-driven melt of patchy snow cover. In the field, we find that 60 %–80 % of the total melt is wind driven at the upwind edge of a snow patch, while it does not contribute at the downwind edge. Our idealized simulations show that the variation is due to a patch-size-independent air-temperature reduction over snow patches and also allow us to study the role of wind-driven snowmelt on larger scales.
Alessandro Montemagno, Christophe Hissler, Victor Bense, Adriaan J. Teuling, Johanna Ziebel, and Laurent Pfister
Biogeosciences, 19, 3111–3129, https://doi.org/10.5194/bg-19-3111-2022, https://doi.org/10.5194/bg-19-3111-2022, 2022
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We investigated the biogeochemical processes that dominate the release and retention of elements (nutrients and potentially toxic elements) during litter degradation. Our results show that toxic elements are retained in the litter, while nutrients are released in solution during the first stages of degradation. This seems linked to the capability of trees to distribute the elements between degradation-resistant and non-degradation-resistant compounds of leaves according to their chemical nature.
Veit Blauhut, Michael Stoelzle, Lauri Ahopelto, Manuela I. Brunner, Claudia Teutschbein, Doris E. Wendt, Vytautas Akstinas, Sigrid J. Bakke, Lucy J. Barker, Lenka Bartošová, Agrita Briede, Carmelo Cammalleri, Ksenija Cindrić Kalin, Lucia De Stefano, Miriam Fendeková, David C. Finger, Marijke Huysmans, Mirjana Ivanov, Jaak Jaagus, Jiří Jakubínský, Svitlana Krakovska, Gregor Laaha, Monika Lakatos, Kiril Manevski, Mathias Neumann Andersen, Nina Nikolova, Marzena Osuch, Pieter van Oel, Kalina Radeva, Renata J. Romanowicz, Elena Toth, Mirek Trnka, Marko Urošev, Julia Urquijo Reguera, Eric Sauquet, Aleksandra Stevkov, Lena M. Tallaksen, Iryna Trofimova, Anne F. Van Loon, Michelle T. H. van Vliet, Jean-Philippe Vidal, Niko Wanders, Micha Werner, Patrick Willems, and Nenad Živković
Nat. Hazards Earth Syst. Sci., 22, 2201–2217, https://doi.org/10.5194/nhess-22-2201-2022, https://doi.org/10.5194/nhess-22-2201-2022, 2022
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Recent drought events caused enormous damage in Europe. We therefore questioned the existence and effect of current drought management strategies on the actual impacts and how drought is perceived by relevant stakeholders. Over 700 participants from 28 European countries provided insights into drought hazard and impact perception and current management strategies. The study concludes with an urgent need to collectively combat drought risk via a European macro-level drought governance approach.
Linqi Zhang, Yi Liu, Liliang Ren, Adriaan J. Teuling, Ye Zhu, Linyong Wei, Linyan Zhang, Shanhu Jiang, Xiaoli Yang, Xiuqin Fang, and Hang Yin
Hydrol. Earth Syst. Sci., 26, 3241–3261, https://doi.org/10.5194/hess-26-3241-2022, https://doi.org/10.5194/hess-26-3241-2022, 2022
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In this study, three machine learning methods displayed a good detection capacity of flash droughts. The RF model was recommended to estimate the depletion rate of soil moisture and simulate flash drought by considering the multiple meteorological variable anomalies in the adjacent time to drought onset. The anomalies of precipitation and potential evapotranspiration exhibited a stronger synergistic but asymmetrical effect on flash droughts compared to slowly developing droughts.
Femke A. Jansen, Remko Uijlenhoet, Cor M. J. Jacobs, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 26, 2875–2898, https://doi.org/10.5194/hess-26-2875-2022, https://doi.org/10.5194/hess-26-2875-2022, 2022
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We studied the controls on open water evaporation with a focus on Lake IJssel, the Netherlands, by analysing eddy covariance observations over two summer periods at two locations at the borders of the lake. Wind speed and the vertical vapour pressure gradient can explain most of the variation in observed evaporation, which is in agreement with Dalton's model. We argue that the distinct characteristics of inland waterbodies need to be taken into account when parameterizing their evaporation.
Philip J. Ward, James Daniell, Melanie Duncan, Anna Dunne, Cédric Hananel, Stefan Hochrainer-Stigler, Annegien Tijssen, Silvia Torresan, Roxana Ciurean, Joel C. Gill, Jana Sillmann, Anaïs Couasnon, Elco Koks, Noemi Padrón-Fumero, Sharon Tatman, Marianne Tronstad Lund, Adewole Adesiyun, Jeroen C. J. H. Aerts, Alexander Alabaster, Bernard Bulder, Carlos Campillo Torres, Andrea Critto, Raúl Hernández-Martín, Marta Machado, Jaroslav Mysiak, Rene Orth, Irene Palomino Antolín, Eva-Cristina Petrescu, Markus Reichstein, Timothy Tiggeloven, Anne F. Van Loon, Hung Vuong Pham, and Marleen C. de Ruiter
Nat. Hazards Earth Syst. Sci., 22, 1487–1497, https://doi.org/10.5194/nhess-22-1487-2022, https://doi.org/10.5194/nhess-22-1487-2022, 2022
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The majority of natural-hazard risk research focuses on single hazards (a flood, a drought, a volcanic eruption, an earthquake, etc.). In the international research and policy community it is recognised that risk management could benefit from a more systemic approach. In this perspective paper, we argue for an approach that addresses multi-hazard, multi-risk management through the lens of sustainability challenges that cut across sectors, regions, and hazards.
Marthe L. K. Wens, Anne F. van Loon, Ted I. E. Veldkamp, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 22, 1201–1232, https://doi.org/10.5194/nhess-22-1201-2022, https://doi.org/10.5194/nhess-22-1201-2022, 2022
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In this paper, we present an application of the empirically calibrated drought risk adaptation model ADOPT for the case of smallholder farmers in the Kenyan drylands. ADOPT is used to evaluate the effect of various top-down drought risk reduction interventions (extension services, early warning systems, ex ante cash transfers, and low credit rates) on individual and community drought risk (adaptation levels, food insecurity, poverty, emergency aid) under different climate change scenarios.
Agathe Bucherie, Micha Werner, Marc van den Homberg, and Simon Tembo
Nat. Hazards Earth Syst. Sci., 22, 461–480, https://doi.org/10.5194/nhess-22-461-2022, https://doi.org/10.5194/nhess-22-461-2022, 2022
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Local communities in northern Malawi have well-developed knowledge of the conditions leading to flash floods, spatially and temporally. Scientific analysis of catchment geomorphology and global reanalysis datasets corroborates this local knowledge, underlining the potential of these large-scale scientific datasets. Combining local knowledge with contemporary scientific datasets provides a common understanding of flash flood events, contributing to a more people-centred warning to flash floods.
Raed Hamed, Anne F. Van Loon, Jeroen Aerts, and Dim Coumou
Earth Syst. Dynam., 12, 1371–1391, https://doi.org/10.5194/esd-12-1371-2021, https://doi.org/10.5194/esd-12-1371-2021, 2021
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Soy yields in the US are affected by climate variability. We identify the main within-season climate drivers and highlight potential compound events and associated agricultural impacts. Our results show that soy yields are most negatively influenced by the combination of high temperature and low soil moisture during the summer crop reproductive period. Furthermore, we highlight the role of temperature and moisture coupling across the year in generating these hot–dry extremes and linked impacts.
Charles Nduhiu Wamucii, Pieter R. van Oel, Arend Ligtenberg, John Mwangi Gathenya, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 25, 5641–5665, https://doi.org/10.5194/hess-25-5641-2021, https://doi.org/10.5194/hess-25-5641-2021, 2021
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East African water towers (WTs) are under pressure from human influences within and without, but the water yield (WY) is more sensitive to climate changes from within. Land use changes have greater impacts on WY in the surrounding lowlands. The WTs have seen a strong shift towards wetter conditions while, at the same time, the potential evapotranspiration is gradually increasing. The WTs were identified as non-resilient, and future WY may experience more extreme variations.
Lucas Wouters, Anaïs Couasnon, Marleen C. de Ruiter, Marc J. C. van den Homberg, Aklilu Teklesadik, and Hans de Moel
Nat. Hazards Earth Syst. Sci., 21, 3199–3218, https://doi.org/10.5194/nhess-21-3199-2021, https://doi.org/10.5194/nhess-21-3199-2021, 2021
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This research introduces a novel approach to estimate flood damage in Malawi by applying a machine learning model to UAV imagery. We think that the development of such a model is an essential step to enable the swift allocation of resources for recovery by humanitarian decision-makers. By comparing this method (EUR 10 140) to a conventional land-use-based approach (EUR 15 782) for a specific flood event, recommendations are made for future assessments.
Doris E. Wendt, John P. Bloomfield, Anne F. Van Loon, Margaret Garcia, Benedikt Heudorfer, Joshua Larsen, and David M. Hannah
Nat. Hazards Earth Syst. Sci., 21, 3113–3139, https://doi.org/10.5194/nhess-21-3113-2021, https://doi.org/10.5194/nhess-21-3113-2021, 2021
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Managing water demand and supply during droughts is complex, as highly pressured human–water systems can overuse water sources to maintain water supply. We evaluated the impact of drought policies on water resources using a socio-hydrological model. For a range of hydrogeological conditions, we found that integrated drought policies reduce baseflow and groundwater droughts most if extra surface water is imported, reducing the pressure on water resources during droughts.
Peter T. La Follette, Adriaan J. Teuling, Nans Addor, Martyn Clark, Koen Jansen, and Lieke A. Melsen
Hydrol. Earth Syst. Sci., 25, 5425–5446, https://doi.org/10.5194/hess-25-5425-2021, https://doi.org/10.5194/hess-25-5425-2021, 2021
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Hydrological models are useful tools that allow us to predict distributions and movement of water. A variety of numerical methods are used by these models. We demonstrate which numerical methods yield large errors when subject to extreme precipitation. As the climate is changing such that extreme precipitation is more common, we find that some numerical methods are better suited for use in hydrological models. Also, we find that many current hydrological models use relatively inaccurate methods.
Marit Van Tiel, Anne F. Van Loon, Jan Seibert, and Kerstin Stahl
Hydrol. Earth Syst. Sci., 25, 3245–3265, https://doi.org/10.5194/hess-25-3245-2021, https://doi.org/10.5194/hess-25-3245-2021, 2021
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Glaciers can buffer streamflow during dry and warm periods, but under which circumstances can melt compensate precipitation deficits? Streamflow responses to warm and dry events were analyzed using
long-term observations of 50 glacierized catchments in Norway, Canada, and the European Alps. Region, timing of the event, relative glacier cover, and antecedent event conditions all affect the level of compensation during these events. This implies that glaciers do not compensate straightforwardly.
Joost Buitink, Lieke A. Melsen, and Adriaan J. Teuling
Earth Syst. Dynam., 12, 387–400, https://doi.org/10.5194/esd-12-387-2021, https://doi.org/10.5194/esd-12-387-2021, 2021
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Higher temperatures influence both evaporation and snow processes. These two processes have a large effect on discharge but have distinct roles during different seasons. In this study, we study how higher temperatures affect the discharge via changed evaporation and snow dynamics. Higher temperatures lead to enhanced evaporation but increased melt from glaciers, overall lowering the discharge. During the snowmelt season, discharge was reduced further due to the earlier depletion of snow.
Jolijn van Engelenburg, Erik van Slobbe, Adriaan J. Teuling, Remko Uijlenhoet, and Petra Hellegers
Drink. Water Eng. Sci., 14, 1–43, https://doi.org/10.5194/dwes-14-1-2021, https://doi.org/10.5194/dwes-14-1-2021, 2021
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This study analysed the impact of extreme weather events, water quality deterioration, and a growing drinking water demand on the sustainability of drinking water supply in the Netherlands. The results of the case studies were compared to sustainability issues for drinking water supply that are experienced worldwide. This resulted in a set of sustainability characteristics describing drinking water supply on a local scale in terms of hydrological, technical, and socio-economic characteristics.
Theresa C. van Hateren, Marco Chini, Patrick Matgen, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-583, https://doi.org/10.5194/hess-2020-583, 2020
Manuscript not accepted for further review
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Agricultural droughts occur when the water content of the soil diminishes to such a level that vegetation is negatively impacted. Here we show that, although they are classified as the same type of drought, substantial differences between soil moisture and vegetation droughts exist. This duality is not included in the term agricultural drought, and thus is a potential issue in drought research. We argue that a distinction should be made between soil moisture and vegetation drought events.
Anne F. Van Loon, Imogen Lester-Moseley, Melanie Rohse, Phil Jones, and Rosie Day
Geosci. Commun., 3, 453–474, https://doi.org/10.5194/gc-3-453-2020, https://doi.org/10.5194/gc-3-453-2020, 2020
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The Global South is vulnerable to natural hazards like floods and droughts, but creativity could support community preparedness. We mapped 267 papers that use a variety of art forms. They aim to raise the public's awareness or instigate adaptation by participants. In our pilot in South Africa, community members developed stories about preparing for future drought. This led to an imagination of future events, conversations about adaptation, intergenerational exchange, and increased awareness.
Joost Buitink, Anne M. Swank, Martine van der Ploeg, Naomi E. Smith, Harm-Jan F. Benninga, Frank van der Bolt, Coleen D. U. Carranza, Gerbrand Koren, Rogier van der Velde, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 24, 6021–6031, https://doi.org/10.5194/hess-24-6021-2020, https://doi.org/10.5194/hess-24-6021-2020, 2020
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The amount of water stored in the soil is critical for the productivity of plants. Plant productivity is either limited by the available water or by the available energy. In this study, we infer this transition point by comparing local observations of water stored in the soil with satellite observations of vegetation productivity. We show that the transition point is not constant with soil depth, indicating that plants use water from deeper layers when the soil gets drier.
Joost Buitink, Lieke A. Melsen, James W. Kirchner, and Adriaan J. Teuling
Geosci. Model Dev., 13, 6093–6110, https://doi.org/10.5194/gmd-13-6093-2020, https://doi.org/10.5194/gmd-13-6093-2020, 2020
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This paper presents a new distributed hydrological model: the distributed simple dynamical systems (dS2) model. The model is built with a focus on computational efficiency and is therefore able to simulate basins at high spatial and temporal resolution at a low computational cost. Despite the simplicity of the model concept, it is able to correctly simulate discharge in both small and mesoscale basins.
Doris E. Wendt, Anne F. Van Loon, John P. Bloomfield, and David M. Hannah
Hydrol. Earth Syst. Sci., 24, 4853–4868, https://doi.org/10.5194/hess-24-4853-2020, https://doi.org/10.5194/hess-24-4853-2020, 2020
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Groundwater use changes the availability of groundwater, especially during droughts. This study investigates the impact of groundwater use on groundwater droughts. A methodological framework is presented that was developed and applied to the UK. We identified an asymmetric impact of groundwater use on droughts, which highlights the relation between short-term and long-term strategies for sustainable groundwater use.
Jasper Foets, Carlos E. Wetzel, Núria Martínez-Carreras, Adriaan J. Teuling, Jean-François Iffly, and Laurent Pfister
Hydrol. Earth Syst. Sci., 24, 4709–4725, https://doi.org/10.5194/hess-24-4709-2020, https://doi.org/10.5194/hess-24-4709-2020, 2020
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Diatoms (microscopic algae) are regarded as useful tracers in catchment hydrology. However, diatom analysis is labour-intensive; therefore, only a limited number of samples can be analysed. To reduce this number, we explored the potential for a time-integrated mass-flux sampler to provide a representative sample of the diatom assemblage for a whole storm run-off event. Our results indicate that the Phillips sampler did indeed sample representative communities during two of the three events.
Caspar T. J. Roebroek, Lieke A. Melsen, Anne J. Hoek van Dijke, Ying Fan, and Adriaan J. Teuling
Hydrol. Earth Syst. Sci., 24, 4625–4639, https://doi.org/10.5194/hess-24-4625-2020, https://doi.org/10.5194/hess-24-4625-2020, 2020
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Vegetation is a principal component in the Earth system models that are used for weather, climate and other environmental predictions. Water is one of the main drivers of vegetation; however, the global distribution of how water influences vegetation is not well understood. This study looks at spatial patterns of photosynthesis and water sources (rain and groundwater) to obtain a first understanding of water access and limitations for the growth of global forests (proxy for natural vegetation).
Bentje Brauns, Daniela Cuba, John P. Bloomfield, David M. Hannah, Christopher Jackson, Ben P. Marchant, Benedikt Heudorfer, Anne F. Van Loon, Hélène Bessière, Bo Thunholm, and Gerhard Schubert
Proc. IAHS, 383, 297–305, https://doi.org/10.5194/piahs-383-297-2020, https://doi.org/10.5194/piahs-383-297-2020, 2020
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In Europe, ca. 65% of drinking water is groundwater. Its replenishment depends on rainfall, but droughts may cause groundwater levels to fall below normal. These
groundwater droughtscan limit supply, making it crucial to understand their regional connection. The Groundwater Drought Initiative (GDI) assesses spatial patterns in historic—recent groundwater droughts across Europe for the first time. Using an example dataset, we describe the background to the GDI and its methodological approach.
Anne J. Hoek van Dijke, Kaniska Mallick, Martin Schlerf, Miriam Machwitz, Martin Herold, and Adriaan J. Teuling
Biogeosciences, 17, 4443–4457, https://doi.org/10.5194/bg-17-4443-2020, https://doi.org/10.5194/bg-17-4443-2020, 2020
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We investigated the link between the vegetation leaf area index (LAI) and the land–atmosphere exchange of water, energy, and carbon fluxes. We show that the correlation between the LAI and water and energy fluxes depends on the vegetation type and aridity. For carbon fluxes, however, the correlation with the LAI was strong and independent of vegetation and aridity. This study provides insight into when the vegetation LAI can be used to model or extrapolate land–atmosphere fluxes.
Cited articles
Atzberger, C. and Eilers, P. H.: Evaluating the effectiveness of smoothing
algorithms in the absence of ground reference measurements, Int. J. Remote Sens., 32, 3689–3709, https://doi.org/10.1080/01431161003762405,
2011. a
Atzberger, C., Formaggio, A., Shimabukuro, Y., Udelhoven, T., Mattiuzzi, M.,
Sanchez, G., and Arai, E.: Obtaining crop-specific time profiles of NDVI: the
use of unmixing approaches for serving the continuity between SPOT-VGT and
PROBA-V time series, Int. J. Remote Sens., 35, 2615–2638,
https://doi.org/10.1080/01431161.2014.883106, 2014. a
Ayugi, B., Tan, G., Niu, R., Dong, Z., Ojara, M., Mumo, L., Babaousmail, H.,
and Ongoma, V.: Evaluation of meteorological drought and flood scenarios over
Kenya, East Africa, Atmosphere, 11, 307, https://doi.org/10.3390/atmos11030307, 2020. a
Bachmair, S., Kohn, I., and Stahl, K.: Exploring the link between drought indicators and impacts, Nat. Hazards Earth Syst. Sci., 15, 1381–1397, https://doi.org/10.5194/nhess-15-1381-2015, 2015. a, b, c, d
Bachmair, S., Svensson, C., Prosdocimi, I., Hannaford, J., and Stahl, K.: Developing drought impact functions for drought risk management, Nat. Hazards Earth Syst. Sci., 17, 1947–1960, https://doi.org/10.5194/nhess-17-1947-2017, 2017. a, b, c, d
Baig, M. R. I., Naikoo, M. W., Ansari, A. H., Ahmad, S., and Rahman, A.:
Spatio-temporal analysis of precipitation pattern and trend using
standardized precipitation index and Mann–Kendall test in coastal Andhra
Pradesh, Model. Earth Syst. Environ., 8, 2733–2752,
https://doi.org/10.1007/s40808-021-01262-w, 2022. a
Balsamo, G., Beljaars, A., Scipal, K., Viterbo, P., van den Hurk, B., Hirschi,
M., and Betts, A. K.: A revised hydrology for the ECMWF model: Verification
from field site to terrestrial water storage and impact in the Integrated
Forecast System, J. Hydrometeorol., 10, 623–643,
https://doi.org/10.1175/2008JHM1068.1, 2009. a
Barrett, A. B., Duivenvoorden, S., Salakpi, E. E., Muthoka, J. M., Mwangi, J.,
Oliver, S., and Rowhani, P.: Forecasting vegetation condition for drought
early warning systems in pastoral communities in Kenya, Remote Sens.
Environ., 248, 111886, https://doi.org/10.1016/j.rse.2020.111886, 2020. a
Beck, H. E., van Dijk, A. I. J. M., Levizzani, V., Schellekens, J., Miralles, D. G., Martens, B., and de Roo, A.: MSWEP: 3-hourly 0.25∘ global gridded precipitation (1979–2015) by merging gauge, satellite, and reanalysis data, Hydrol. Earth Syst. Sci., 21, 589–615, https://doi.org/10.5194/hess-21-589-2017, 2017a. a
Beck, H. E., Vergopolan, N., Pan, M., Levizzani, V., van Dijk, A. I. J. M., Weedon, G. P., Brocca, L., Pappenberger, F., Huffman, G. J., and Wood, E. F.: Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling, Hydrol. Earth Syst. Sci., 21, 6201–6217, https://doi.org/10.5194/hess-21-6201-2017, 2017b. a
Beck, H. E., Wood, E. F., Pan, M., Fisher, C. K., Miralles, D. G., Van Dijk,
A. I., McVicar, T. R., and Adler, R. F.: MSWEP V2 global 3-hourly 0.1
precipitation: methodology and quantitative assessment, B.
Am. Meteorol. Soc., 100, 473–500,
https://doi.org/10.1175/BAMS-D-17-0138.1, 2019. a, b
Beguería, S., Vicente-Serrano, S. M., Reig, F., and Latorre, B.:
Standardized precipitation evapotranspiration index (SPEI) revisited:
parameter fitting, evapotranspiration models, tools, datasets and drought
monitoring, Int. J. Climatol., 34, 3001–3023,
https://doi.org/10.1002/joc.3887, 2014. a
Bellaubi, F. and Boehm, F.: Management practices and corruption risks in water
service delivery in Kenya and Ghana, Water Policy, 20, 388–409,
https://doi.org/10.2166/wp.2018.017, 2018. a
Breiman, L.: Random forests, Mach. Learn., 45, 5–32,
https://doi.org/10.1023/A:1010933404324, 2001. a
Cattani, E., Ferguglia, O., Merino, A., and Levizzani, V.: Precipitation
Products’ Inter–Comparison over East and Southern Africa 1983–2017,
Remote Sens., 13, 4419, https://doi.org/10.3390/rs13214419, 2021. a, b
Chung, N. C., Miasojedow, B., Startek, M., and Gambin, A.: Jaccard/Tanimoto
similarity test and estimation methods for biological presence-absence data,
BMC Bioinformatics, 20, 1–11, https://doi.org/10.1186/s12859-019-3118-5, 2019. a, b
Dai, M., Huang, S., Huang, Q., Leng, G., Guo, Y., Wang, L., Fang, W., Li, P.,
and Zheng, X.: Assessing agricultural drought risk and its dynamic evolution
characteristics, Agr. Water Manage., 231, 106003,
https://doi.org/10.1016/j.agwat.2020.106003, 2020. a, b
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., McNally, A. P., Monge-Sanz, B. M., Morcrette, J.-J., Park, B.-K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J.-N., and Vitart, F.: The
ERA-Interim reanalysis: Configuration and performance of the data
assimilation system, Q. J. Roy. Meteor. Soc.,
137, 553–597, https://doi.org/10.1002/qj.828, 2011. a
Erian, W., Pulwarty, R., Vogt, J., AbuZeid, K., Bert, F., Bruntrup, M.,
El-Askary, H., de Estrada, M., Gaupp, F., Grundy, M., Hadwen, T., Hagenlocher, M., Kairu, G., Lamhauge, N., Li, W., Mahon, R., Maia, R., Martins, E. S. P. R., Meza, I., de los Milagos Skansi, M., Moderc, A., Naumann, G., Negri, R., Partey, S. T., Podestá, G., Quesada, M., Rakhmatova, N., Riley, J. E., Rudari, R., Shanmugasundaram, J., Silveira Reis Junior, D., Singh, C., Spennemann, P., Srinivasan, G., Stefanski, R., Sušnik, A., Svoboda, M., Trotman, A., Tsegai, D., Ünver, O., Van Meerbeeck, C., Wens, M., Abdullaeva, S., Agarwal, A., Ballantyne, D., Belikov, D., Belorussova, O., Bonnet, G., Brown, G., Browne, T., Cammalleri, C., Conijn, S., Ehlert, K., Fagan, L., Khasankhanova, G., Kibaroğlu, A., Klein, R., Kovalevskaya, Y., Van Loon, A., Massabò, M., Miguel Saraiva, A., de Moel, H., Murray, V., Nemani, R., Nishonov, B., Özgüler, H., Pai, D. S., Pascual, V., Rakhmatova, V., Ramesh, K. J., Richards, V., Rossi, L., Savitskiy, A., Schaan, G., Shardakova, L., Spinoni, J., Stone, R., Stoute, S., Subbiah, A., Tarayannikova, R., Yildiz, D., Young, S., and Zougmore, R. B.: GAR Special
Report on Drought 2021, United Nations Office for Disaster Risk Reduction (UNDRR), Geneva, ISBN 9789212320274, 2021. a
Essen, C. and Akpan, G.: Analysis of difficulty and point-biserial correlation
indices of 2014 Akwa Ibom State Mock Multiple Choices Mathematics Test,
Int. J. Educ. Eval., 4, 1–11, 2018. a
Falkenmark, M., Lundqvist, J., and Widstrand, C.: Macro-scale water scarcity
requires micro-scale approaches: Aspects of vulnerability in semi-arid
development, in: Natural resources forum, vol. 13,, Wiley Online
Library, 258–267, https://doi.org/10.1111/j.1477-8947.1989.tb00348.x, 1989. a
Gudmundsson, L., Rego, F. C., Rocha, M., and Seneviratne, S. I.: Predicting
above normal wildfire activity in southern Europe as a function of
meteorological drought, Environ. Res. Lett., 9, 084008,
https://doi.org/10.1088/1748-9326/9/8/084008, 2014. a, b
Guha-Sapir, D., Below, R., and Hoyois, P.: The CRED/OFDA International Disaster Database, Université Catholique de Louvain, EM-DAT [data set], http://www.emdat.be/ (last access: 23 January 2023), 2017. a
Hall, J. W. and Leng, G.: Can we calculate drought risk... and do we need to?,
Wiley Interdisciplinary Reviews: Water, 6, e1349, https://doi.org/10.1002/wat2.1349,
2019. a
Hanley, J. A. and McNeil, B. J.: The meaning and use of the area under a
receiver operating characteristic (ROC) curve, Radiology, 143, 29–36,
https://doi.org/10.1148/radiology.143.1.7063747, 1982. a
Harrigan, S., Zsoter, E., Alfieri, L., Prudhomme, C., Salamon, P., Wetterhall, F., Barnard, C., Cloke, H., and Pappenberger, F.: GloFAS-ERA5 operational global river discharge reanalysis 1979–present, Earth Syst. Sci. Data, 12, 2043–2060, https://doi.org/10.5194/essd-12-2043-2020, 2020. a
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A.,
Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D.,
Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., and Thépaut, J.: The ERA5 global reanalysis, Q. J. Roy.
Meteor. Soc., 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020. a
Hirpa, F. A., Salamon, P., Beck, H. E., Lorini, V., Alfieri, L., Zsoter, E.,
and Dadson, S. J.: Calibration of the Global Flood Awareness System (GloFAS)
using daily streamflow data, J. Hydrol., 566, 595–606,
https://doi.org/10.1016/j.jhydrol.2018.09.052, 2018. a
Jaccard, P.: The distribution of the flora in the alpine zone. 1, New
Phytologist, 11, 37–50, https://doi.org/10.1111/j.1469-8137.1912.tb05611.x, 1912. a
Javadinejad, S., Hannah, D., Ostad-Ali-Askari, K., Krause, S., Zalewski, M.,
and Boogaard, F.: The impact of future climate change and human activities on
hydro-climatological drought, analysis and projections: using CMIP5 climate
model simulations, Water Sci. Eng., 4, 71–88,
https://doi.org/10.1007/s41101-019-00069-2, 2019. a
Jenkins, M.: The impact of corruption on access to safe water and sanitation
for people living in poverty, Anticorruption Resource Center, https://www.u4.no/publications/the-impact-of-corruption-on-access-to-safe-water-and-sanitation-for-people-living-in-poverty (last access: 23 January 2023), 2017. a
Kamruzzaman, M., Almazroui, M., Salam, M., Mondol, M. A. H., Rahman, M., Deb,
L., Kundu, P. K., Zaman, M., Uz, A., and Islam, A. R. M. T.: Spatiotemporal
drought analysis in Bangladesh using the standardized precipitation index
(SPI) and standardized precipitation evapotranspiration index (SPEI),
Sci. Rep., 12, 1–17, https://doi.org/10.1038/s41598-022-24146-0, 2022. a
Kchouk, S., Melsen, L. A., Walker, D. W., and van Oel, P. R.: A geography of drought indices: mismatch between indicators of drought and its impacts on water and food securities, Nat. Hazards Earth Syst. Sci., 22, 323–344, https://doi.org/10.5194/nhess-22-323-2022, 2022. a
Kenya: Kenya National Adaptation Plan: 2015–2030, https://www4.unfccc.int/sites/NAPC/Documents%20NAP/Kenya_NAP_Final.pdf (last access: 23 January 2023), 2016. a
Kew, S. F., Philip, S. Y., Hauser, M., Hobbins, M., Wanders, N., van Oldenborgh, G. J., van der Wiel, K., Veldkamp, T. I. E., Kimutai, J., Funk, C., and Otto, F. E. L.: Impact of precipitation and increasing temperatures on drought trends in eastern Africa, Earth Syst. Dynam., 12, 17–35, https://doi.org/10.5194/esd-12-17-2021, 2021. a
Kimwatu, D. M., Mundia, C. N., and Makokha, G. O.: Developing a new
socio-economic drought index for monitoring drought proliferation: a case
study of Upper Ewaso Ngiro River Basin in Kenya, Environ. Monit.
Assess., 193, 1–22, https://doi.org/10.1007/s10661-021-08989-0, 2021. a
Klisch, A. and Atzberger, C.: Operational drought monitoring in Kenya using
MODIS NDVI time series, Remote Sens., 8, 267, https://doi.org/10.3390/rs8040267,
2016. a
Kuhn, M.: Building predictive models in R using the caret package, J.
Stat. Softw., 28, 1–26, https://doi.org/10.18637/jss.v028.i05, 2008. a, b
Lam, M. and Odongo, R.: Data from the publication: Linking reported drought impacts with drought indices, water scarcity and aridity: the case of Kenya, 4TU.ResearchData [data set], https://doi.org/10.4121/19620357, 2022.
Lehner, B., Liermann, C. R., Revenga, C., Vörösmarty, C., Fekete, B.,
Crouzet, P., Döll, P., Endejan, M., Frenken, K., Magome, J., Nilsson, C., Robertson, J. C., Rödel, R., Sindorf, N., and Wisser, D. :
High-resolution mapping of the world's reservoirs and dams for sustainable
river-flow management, Front. Ecol. Environ., 9, 494–502,
https://doi.org/10.1890/100125, 2011. a
Liaw, A. and Wiener, M.: Classification and regression by randomForest, R
News, 2, 18–22, 2002. a
Liu, Y. Y., De Jeu, R. A., McCabe, M. F., Evans, J. P., and Van Dijk, A. I.:
Global long-term passive microwave satellite-based retrievals of vegetation
optical depth, Geophys. Res. Lett., 38, L18402, https://doi.org/10.1029/2011GL048684,
2011. a
Ma, M., Lv, J., Su, Z., Hannaford, J., Sun, H., Qu, Y., Xing, Z., Barker, L.,
and Wang, Y.: Linking drought indices to impacts in the Liaoning Province of
China, P. Int. Ass. Hydrol. Sci.,
383, 267–272, https://doi.org/10.5194/piahs-383-267-2020, 2020. a, b, c, d
Maidment, R. I., Grimes, D., Allan, R. P., Tarnavsky, E., Stringer, M.,
Hewison, T., Roebeling, R., and Black, E.: The 30 year TAMSAT African
rainfall climatology and time series (TARCAT) data set, J.
Geophys. Res.-Atmos., 119, 10–619, https://doi.org/10.1002/2014JD021927,
2014. a
Majani, B. S., Malamud, B. D., and Millington, J.: Use of blended evidence
sources to build a history of flooding impact and an impact severity scale: A
case study of Nairobi, Kenya, Tech. rep., Copernicus Meetings,
https://doi.org/10.5194/egusphere-egu22-12012, 2022. a
Martens, B., Miralles, D. G., Lievens, H., van der Schalie, R., de Jeu, R. A. M., Fernández-Prieto, D., Beck, H. E., Dorigo, W. A., and Verhoest, N. E. C.: GLEAM v3: satellite-based land evaporation and root-zone soil moisture, Geosci. Model Dev., 10, 1903–1925, https://doi.org/10.5194/gmd-10-1903-2017, 2017. a, b
McKee, T. B., Doesken, J., and Kleist, J.: Analysis of Standardized
Precipitation Index (SPI) data for drought assessment, Water, 26, 1–72,
1993. a
Miralles, D. G., Holmes, T. R. H., De Jeu, R. A. M., Gash, J. H., Meesters, A. G. C. A., and Dolman, A. J.: Global land-surface evaporation estimated from satellite-based observations, Hydrol. Earth Syst. Sci., 15, 453–469, https://doi.org/10.5194/hess-15-453-2011, 2011. a
Mishra, A. K. and Singh, V. P.: A review of drought concepts, J.
Hydrol., 391, 202–216, https://doi.org/10.1016/j.jhydrol.2010.07.012, 2010. a
Mude, A. G., Ouma, R., van de Steeg, J., Kaiuki, J., Opiyo, D., and Tipilda, A.:
Kenya adaptation to climate change in the arid lands: Anticipating, adapting
to and coping with climate risks in Kenya-Operational recommendations for
KACCAL, ILRI Research Report 18, Nairobi, Kenya, International Livestock Research Institute, 135 pp., https://cgspace.cgiar.org/bitstream/handle/10568/2186/KACCAL%20Final%20Report.pdf?sequence=1&isAllowed=y (last access: 23 January 2023), 2007. a
Mulwa, F., Li, Z., and Fangninou, F. F.: Water Scarcity in Kenya: Current
Status, Challenges and Future Solutions, Open Access Library Journal, 8,
1–15, https://doi.org/10.4236/oalib.1107096, 2021. a, b, c, d
Mutsotso, R. B., Sichangi, A. W., and Makokha, G. O.: Spatio-temporal drought
characterization in Kenya from 1987 to 2016, Adv. Space Res., 7. 125–143, https://doi.org/10.4236/ars.2018.72009,
2018. a
Mwangi, E., Taylor, O., Todd, M. C., Visman, E., Kniveton, D., Kilavi, M.,
Ndegwa, W., Otieno, G., Waruru, S., Mwangi, J., Ambani, M., Abdillahi, H., MacLeod, D., Rowhani, P., Graham, R., and Colman, A.: Mainstreaming
forecast based action into national disaster risk management systems:
experience from drought risk management in Kenya, Clim. Dev.,
14, 741–756, https://doi.org/10.1080/17565529.2021.1984194, 2022. a
Nalbantis, I.: Evaluation of a hydrological drought index, European Water, 23,
67–77, 2008. a
Nicolai-Shaw, N., Zscheischler, J., Hirschi, M., Gudmundsson, L., and
Seneviratne, S. I.: A drought event composite analysis using satellite
remote-sensing based soil moisture, Remote Sens. Environ., 203,
216–225, https://doi.org/10.1016/j.rse.2017.06.014, 2017. a
Niwattanakul, S., Singthongchai, J., Naenudorn, E., and Wanapu, S.: Using of
Jaccard coefficient for keywords similarity, in: Proceedings of the
international multiconference of engineers and computer scientists, Vol. 1, Hong Kong, 13–15 March 2013,
380–384, 2013. a
Njarui, D., Gatheru, M., and Ghimire, S. R.: Brachiaria grass for climate
resilient and sustainable livestock production in Kenya, African Handbook of
Climate Change Adaptation, 1–22, https://doi.org/10.1007/978-3-030-42091-8_146-1,
2020. a
Nyberg, Y., Jonsson, M., Laszlo Ambjörnsson, E., Wetterlind, J., and
Öborn, I.: Smallholders’ awareness of adaptation and coping measures to
deal with rainfall variability in Western Kenya, Agroecol. Sust. Food, 44, 1280–1308, https://doi.org/10.1080/21683565.2020.1782305, 2020. a
O'Connor, P., Murphy, C., Matthews, T., and Wilby, R. L.: Relating drought
indices to impacts reported in newspaper articles, Int. J.
Climatol., 43, 1796–1816, https://doi.org/10.1002/joc.7946, 2022. a
Odongo, R. A., De Moel, H., and Van Loon, A. F.: Propagation from meteorological to hydrological drought in the Horn of Africa using both standardized and threshold-based indices, Nat. Hazards Earth Syst. Sci., 23, 2365–2386, https://doi.org/10.5194/nhess-23-2365-2023, 2023. a
Ondiko, J. H. and Karanja, A. M.: Spatial and Temporal Occurrence and Effects
of Droughts on Crop Yields in Kenya, Open Access Library Journal, 8, 1–13,
https://doi.org/10.4236/oalib.1107354, 2021. a, b
Opiyo, F., Wasonga, O., Nyangito, M., Schilling, J., and Munang, R.: Drought
adaptation and coping strategies among the Turkana pastoralists of northern
Kenya, Int. J. Disast. Risk. Sc., 6, 295–309,
https://doi.org/10.1007/s13753-015-0063-4, 2015. a
Parry, J.-E.: Review of current and planned adaptation action in Kenya, CARIAA Working Paper no. 16,
International Development Research Centre, Ottawa, Canada and UK Aid, London, United Kingdom, https://idl-bnc-idrc.dspacedirect.org/bitstream/handle/10625/55875/IDL-55875.pdf?sequence=1 (last access: 23 January 2023) 2016. a
Parsons, D. J., Rey, D., Tanguy, M., and Holman, I. P.: Regional variations in
the link between drought indices and reported agricultural impacts of
drought, Agr. Syst., 173, 119–129,
https://doi.org/10.1016/j.agsy.2019.02.015, 2019. a, b, c, d
Peng, J., Dadson, S., Hirpa, F., Dyer, E., Lees, T., Miralles, D. G., Vicente-Serrano, S. M., and Funk, C.: A pan-African high-resolution drought index dataset, Earth Syst. Sci. Data, 12, 753–769, https://doi.org/10.5194/essd-12-753-2020, 2020. a, b
Phillip, M. J.: Combating Water Scarcity in Southern Africa: Case Studies from
Namibia, Springer, https://doi.org/10.1007/978-94-007-7097-3, 2013. a
Priestley, C. H. B. and Taylor, R. J.: On the assessment of surface heat flux
and evaporation using large-scale parameters, Mon. Weater Rev., 100,
81–92, https://doi.org/10.1175/1520-0493(1972)100<0081:OTAOSH>2.3.CO;2, 1972. a
Quandt, A.: Coping with drought: narratives from smallholder farmers in
semi-arid Kenya, Int. J. Disast. Risk. Re., 57,
102168, https://doi.org/10.1016/j.ijdrr.2021.102168, 2021. a
Savelli, E., Rusca, M., Cloke, H., and Di Baldassarre, G.: Don’t blame the
rain: Social power and the 2015–2017 drought in Cape Town, J.
Hydrol., 594, 125953, https://doi.org/10.1016/j.jhydrol.2020.125953, 2021. a
Savelli, E., Rusca, M., Cloke, H., and Di Baldassarre, G.: Drought and society:
Scientific progress, blind spots, and future prospects, Wiley
Interdisciplinary Reviews: Climate Change, 13, e761, https://doi.org/10.1002/wcc.761,
2022. a
Seneviratne, S., Nicholls, N., Easterling, D., Goodess, C., Kanae, S., Kossin,
J., Luo, Y., Marengo, J., McInnes, K., Rahimi, M., Reichstein, M., Sorteberg, A., Vera, C., Zhang, X., Alexander, L. V., Allen, S., Benito, G., Cavazos, T., Clague, J., Conway, D., Della-Marta, P. M., Gerber, M., Gong, S., Goswami, B. N., Hemer, M., Huggel, C., van den Hurk, B., Kharin, V. V., Kitoh, A., Klein Tank, A. M. G., Li, G., Mason, S. J., McGuire, W., van Oldenborgh, G., Orlowsky, B., Smith, S., Thiaw, W., Velegrakis, A., Yiou, P., Zhang, T., Zhou, T., and Zwiers, F. W.: Changes in Climate Extremes and Their Impacts on the Natural Physical Environment, A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change (IPCC), Cambridge, UK, and New York, Cambridge University Press, https://doi.org/10.7916/d8-6nbt-s431, 2012. a, b
Seneviratne, S. I., Zhang, X., Adnan, M., Badi, W., Dereczynski, C., Di Luca, A., Ghosh, S., Iskandar, I., Kossin, J., Lewis, S., Otto, F., Pinto, I., Satoh, M.,
Vicente-Serrano, S. M., Wehner, M., and Zhou, B.: Weather and Climate Extreme Events in a Changing Climate, in: Climate Change 2021: The Physical Science Basis, Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: IPCC, Cambridge University Press, Contribution of working group I to the sixth assessment report of the intergovernmental panel on climate change, Cambridge University Press, 1513–1766, https://doi.org/10.1017/9781009157896.013, 2021. a, b
Stahl, K., Kohn, I., Blauhut, V., Urquijo, J., De Stefano, L., Acácio, V., Dias, S., Stagge, J. H., Tallaksen, L. M., Kampragou, E., Van Loon, A. F., Barker, L. J., Melsen, L. A., Bifulco, C., Musolino, D., de Carli, A., Massarutto, A., Assimacopoulos, D., and Van Lanen, H. A. J.: Impacts of European drought events: insights from an international database of text-based reports, Nat. Hazards Earth Syst. Sci., 16, 801–819, https://doi.org/10.5194/nhess-16-801-2016, 2016. a
Sutanto, S. J. and Van Lanen, H. A.: Catchment memory explains hydrological
drought forecast performance, Sci. Rep., 12, 1–11,
https://doi.org/10.1038/s41598-022-06553-5, 2022. a
Tarnavsky, E., Grimes, D., Maidment, R., Black, E., Allan, R. P., Stringer, M.,
Chadwick, R., and Kayitakire, F.: Extension of the TAMSAT satellite-based
rainfall monitoring over Africa and from 1983 to present, J. Appl.
Meteorol. Clim., 53, 2805–2822, https://doi.org/10.1175/JAMC-D-14-0016.1,
2014. a
The World Bank: Population, data retrieved from World
Development Indicators,
https://data.worldbank.org/indicator/SP.POP.TOTL (last access: 2 May 2022), 2020. a
Thomas, E., Jordan, E., Linden, K., Mogesse, B., Hailu, T., Jirma, H., Thomson,
P., Koehler, J., and Collins, G.: Reducing drought emergencies in the Horn of
Africa, Sci. Total Environ., 727, 138772,
https://doi.org/10.1016/j.scitotenv.2020.138772, 2020. a
UNESCO: Map of the world distribution of arid regions: Map
at scale 1 : 25 000 000 with explanatory note, MAB Technical Notes 7,
UNESCO, Paris, ISBN 92-3-101484-6, 1979. a
Van Der Knijff, J., Younis, J., and De Roo, A.: LISFLOOD: a GIS-based
distributed model for river basin scale water balance and flood simulation,
Int. J. Geogr. Inf. Sci., 24, 189–212,
https://doi.org/10.1080/13658810802549154, 2010. a
Van Dijk, A. I., Beck, H. E., Crosbie, R. S., de Jeu, R. A., Liu, Y. Y.,
Podger, G. M., Timbal, B., and Viney, N. R.: The Millennium Drought in
southeast Australia (2001–2009): Natural and human causes and implications
for water resources, ecosystems, economy, and society, Water Resour.
Res., 49, 1040–1057, https://doi.org/10.1002/wrcr.20123, 2013. a
Van Loon, A. F.: Hydrological drought explained, Wiley Interdisciplinary
Reviews: Water, 2, 359–392, https://doi.org/10.1002/wat2.1085, 2015. a, b
Van Loon, A. F. and Van Lanen, H. A.: Making the distinction between water
scarcity and drought using an observation-modeling framework, Water Resour.
Res., 49, 1483–1502, https://doi.org/10.1002/wrcr.20147, 2013. a, b, c
Van Loon, A. F., Gleeson, T., Clark, J., Van Dijk, A. I., Stahl, K., Hannaford,
J., Di Baldassarre, G., Teuling, A. J., Tallaksen, L. M., Uijlenhoet, R.,
Hannah, D. M., Sheffield, J., Svoboda, M., Verbeiren, B., Wagener, T., Rangecroft, S., Wanders, N., and Van Lanen, H. A. J.: Drought in the Anthropocene, Nat. Geosci., 9, 89–91,
https://doi.org/10.1038/ngeo2646, 2016a. a
Van Loon, A. F., Stahl, K., Di Baldassarre, G., Clark, J., Rangecroft, S., Wanders, N., Gleeson, T., Van Dijk, A. I. J. M., Tallaksen, L. M., Hannaford, J., Uijlenhoet, R., Teuling, A. J., Hannah, D. M., Sheffield, J., Svoboda, M., Verbeiren, B., Wagener, T., and Van Lanen, H. A. J.: Drought in a human-modified world: reframing drought definitions, understanding, and analysis approaches, Hydrol. Earth Syst. Sci., 20, 3631–3650, https://doi.org/10.5194/hess-20-3631-2016, 2016b. a
Vicente-Serrano, S. M., Beguería, S., and López-Moreno, J. I.: A
multiscalar drought index sensitive to global warming: the standardized
precipitation evapotranspiration index, J. Climate, 23, 1696–1718,
https://doi.org/10.1175/2009JCLI2909.1, 2010. a
Wamucii, C. N., van Oel, P. R., Ligtenberg, A., Gathenya, J. M., and Teuling, A. J.: Land use and climate change effects on water yield from East African forested water towers, Hydrol. Earth Syst. Sci., 25, 5641–5665, https://doi.org/10.5194/hess-25-5641-2021, 2021. a
Wanders, N., Van Loon, A. F., and Van Lanen, H. A. J.: Frequently used drought indices reflect different drought conditions on global scale, Hydrol. Earth Syst. Sci. Discuss. [preprint], https://doi.org/10.5194/hess-2017-512, in review, 2017. a, b
Wang, R., Li, L., Gentine, P., Zhang, Y., Chen, J., Chen, X., Chen, L., Ning,
L., Yuan, L., and Lü, G.: Recent increase in the observation-derived land
evapotranspiration due to global warming, Environ. Res. Lett., 17,
024020, https://doi.org/10.1088/1748-9326/ac4291, 2022. a
Wang, W., Ertsen, M. W., Svoboda, M. D., and Hafeez, M.: Propagation of
drought: from meteorological drought to agricultural and hydrological
drought, Adv. Meteorol., 2016, 6547209, https://doi.org/10.1155/2016/6547209, 2016. a
Wang, Y., Lv, J., Hannaford, J., Wang, Y., Sun, H., Barker, L. J., Ma, M., Su, Z., and Eastman, M.: Linking drought indices to impacts to support drought risk assessment in Liaoning province, China, Nat. Hazards Earth Syst. Sci., 20, 889–906, https://doi.org/10.5194/nhess-20-889-2020, 2020. a, b, c, d, e, f
weADAPT: Enhancing resiliency to drought in Kenya's arid and semi-arid lands,
https://www.weadapt.org/ (last access: 23 January 2023), 2023. a
WFP, V.: Food consumption analysis: calculation and use of the food consumption
score in food security analysis, World Food Programme, Vulnerability Analysis and Mapping Branch (ODAV), Rome, Italy, 2008. a
Wilhite, D. A., Svoboda, M. D., and Hayes, M. J.: Understanding the complex
impacts of drought: A key to enhancing drought mitigation and preparedness,
Water Resour. Manag., 21, 763–774, https://doi.org/10.1007/s11269-006-9076-5,
2007. a
WMO: WMO Guidelines on Multi-Hazard Impact-Based Forecast and
Warning Services, Geneva, WMO, https://etrp.wmo.int/pluginfile.php/16270/mod_resource/content/0/wmo_1150_en.pdf (last access: 2 May 2022), 2015. a
Xu, H.-J., Wang, X.-P., Zhao, C.-Y., Shan, S.-Y., and Guo, J.: Seasonal and
aridity influences on the relationships between drought indices and
hydrological variables over China, Weather Clim. Extrem., 34,
100393, https://doi.org/10.1016/j.wace.2021.100393, 2021. a
Xu, Y., Zhang, X., Wang, X., Hao, Z., Singh, V. P., and Hao, F.: Propagation
from meteorological drought to hydrological drought under the impact of human
activities: A case study in northern China, J. Hydrol., 579,
124147, https://doi.org/10.1016/j.jhydrol.2019.124147, 2019. a, b
Yihdego, Y., Vaheddoost, B., and Al-Weshah, R. A.: Drought indices and
indicators revisited, Arab. J. Geosci., 12, 1–12,
https://doi.org/10.1007/s12517-019-4237-z, 2019. a, b, c
Zhou, Y., Zhou, P., Jin, J., Wu, C., Cui, Y., Zhang, Y., and Tong, F.: Drought
identification based on Palmer drought severity index and return period
analysis of drought characteristics in Huaibei Plain China, Environ.
Res., 212, 113163, https://doi.org/10.1016/j.envres.2022.113163, 2022. a
Short summary
There is still no full understanding of the relation between drought impacts and drought indices in the Horn of Africa where water scarcity and arid regions are also present. This study assesses their relation in Kenya. A random forest model reveals that each region, aggregated by aridity, has its own set of predictors for every impact category. Water scarcity was not found to be related to aridity. Understanding these relations contributes to the development of drought early warning systems.
There is still no full understanding of the relation between drought impacts and drought indices...
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