@article{MantzoukiLurlingFastneretal.2018, author = {Mantzouki, Evanthia and Lurling, Miquel and Fastner, Jutta and Domis, Lisette Nicole de Senerpont and Wilk-Wozniak, Elzbieta and Koreiviene, Judita and Seelen, Laura and Teurlincx, Sven and Verstijnen, Yvon and Krzton, Wojciech and Walusiak, Edward and Karosiene, Jurate and Kasperoviciene, Jurate and Savadova, Ksenija and Vitonyte, Irma and Cillero-Castro, Carmen and Budzynska, Agnieszka and Goldyn, Ryszard and Kozak, Anna and Rosinska, Joanna and Szelag-Wasielewska, Elzbieta and Domek, Piotr and Jakubowska-Krepska, Natalia and Kwasizur, Kinga and Messyasz, Beata and Pelechata, Aleksandra and Pelechaty, Mariusz and Kokocinski, Mikolaj and Garcia-Murcia, Ana and Real, Monserrat and Romans, Elvira and Noguero-Ribes, Jordi and Parreno Duque, David and Fernandez-Moran, Elisabeth and Karakaya, Nusret and Haggqvist, Kerstin and Demir, Nilsun and Beklioglu, Meryem and Filiz, Nur and Levi, Eti E. and Iskin, Ugur and Bezirci, Gizem and Tavsanoglu, Ulku Nihan and Ozhan, Koray and Gkelis, Spyros and Panou, Manthos and Fakioglu, Ozden and Avagianos, Christos and Kaloudis, Triantafyllos and Celik, Kemal and Yilmaz, Mete and Marce, Rafael and Catalan, Nuria and Bravo, Andrea G. and Buck, Moritz and Colom-Montero, William and Mustonen, Kristiina and Pierson, Don and Yang, Yang and Raposeiro, Pedro M. and Goncalves, Vitor and Antoniou, Maria G. and Tsiarta, Nikoletta and McCarthy, Valerie and Perello, Victor C. and Feldmann, Tonu and Laas, Alo and Panksep, Kristel and Tuvikene, Lea and Gagala, Ilona and Mankiewicz-Boczek, Joana and Yagci, Meral Apaydin and Cinar, Sakir and Capkin, Kadir and Yagci, Abdulkadir and Cesur, Mehmet and Bilgin, Fuat and Bulut, Cafer and Uysal, Rahmi and Obertegger, Ulrike and Boscaini, Adriano and Flaim, Giovanna and Salmaso, Nico and Cerasino, Leonardo and Richardson, Jessica and Visser, Petra M. and Verspagen, Jolanda M. H. and Karan, Tunay and Soylu, Elif Neyran and Maraslioglu, Faruk and Napiorkowska-Krzebietke, Agnieszka and Ochocka, Agnieszka and Pasztaleniec, Agnieszka and Antao-Geraldes, Ana M. and Vasconcelos, Vitor and Morais, Joao and Vale, Micaela and Koker, Latife and Akcaalan, Reyhan and Albay, Meric and Maronic, Dubravka Spoljaric and Stevic, Filip and Pfeiffer, Tanja Zuna and Fonvielle, Jeremy Andre and Straile, Dietmar and Rothhaupt, Karl-Otto and Hansson, Lars-Anders and Urrutia-Cordero, Pablo and Blaha, Ludek and Geris, Rodan and Frankova, Marketa and Kocer, Mehmet Ali Turan and Alp, Mehmet Tahir and Remec-Rekar, Spela and Elersek, Tina and Triantis, Theodoros and Zervou, Sevasti-Kiriaki and Hiskia, Anastasia and Haande, Sigrid and Skjelbred, Birger and Madrecka, Beata and Nemova, Hana and Drastichova, Iveta and Chomova, Lucia and Edwards, Christine and Sevindik, Tugba Ongun and Tunca, Hatice and OEnem, Burcin and Aleksovski, Boris and Krstic, Svetislav and Vucelic, Itana Bokan and Nawrocka, Lidia and Salmi, Pauliina and Machado-Vieira, Danielle and de Oliveira, Alinne Gurjao and Delgado-Martin, Jordi and Garcia, David and Cereijo, Jose Luis and Goma, Joan and Trapote, Mari Carmen and Vegas-Vilarrubia, Teresa and Obrador, Biel and Grabowska, Magdalena and Karpowicz, Maciej and Chmura, Damian and Ubeda, Barbara and Angel Galvez, Jose and Ozen, Arda and Christoffersen, Kirsten Seestern and Warming, Trine Perlt and Kobos, Justyna and Mazur-Marzec, Hanna and Perez-Martinez, Carmen and Ramos-Rodriguez, Eloisa and Arvola, Lauri and Alcaraz-Parraga, Pablo and Toporowska, Magdalena and Pawlik-Skowronska, Barbara and Niedzwiecki, Michal and Peczula, Wojciech and Leira, Manel and Hernandez, Armand and Moreno-Ostos, Enrique and Maria Blanco, Jose and Rodriguez, Valeriano and Juan Montes-Perez, Jorge and Palomino, Roberto L. and Rodriguez-Perez, Estela and Carballeira, Rafael and Camacho, Antonio and Picazo, Antonio and Rochera, Carlos and Santamans, Anna C. and Ferriol, Carmen and Romo, Susana and Miguel Soria, Juan and Dunalska, Julita and Sienska, Justyna and Szymanski, Daniel and Kruk, Marek and Kostrzewska-Szlakowska, Iwona and Jasser, Iwona and Zutinic, Petar and Udovic, Marija Gligora and Plenkovic-Moraj, Andelka and Frak, Magdalena and Bankowska-Sobczak, Agnieszka and Wasilewicz, Michal and Ozkan, Korhan and Maliaka, Valentini and Kangro, Kersti and Grossart, Hans-Peter and Paerl, Hans W. and Carey, Cayelan C. and Ibelings, Bas W.}, title = {Temperature effects explain continental scale distribution of cyanobacterial toxins}, series = {Toxins}, volume = {10}, journal = {Toxins}, number = {4}, publisher = {MDPI}, address = {Basel}, issn = {2072-6651}, doi = {10.3390/toxins10040156}, pages = {24}, year = {2018}, abstract = {Insight into how environmental change determines the production and distribution of cyanobacterial toxins is necessary for risk assessment. Management guidelines currently focus on hepatotoxins (microcystins). Increasing attention is given to other classes, such as neurotoxins (e.g., anatoxin-a) and cytotoxins (e.g., cylindrospermopsin) due to their potency. Most studies examine the relationship between individual toxin variants and environmental factors, such as nutrients, temperature and light. In summer 2015, we collected samples across Europe to investigate the effect of nutrient and temperature gradients on the variability of toxin production at a continental scale. Direct and indirect effects of temperature were the main drivers of the spatial distribution in the toxins produced by the cyanobacterial community, the toxin concentrations and toxin quota. Generalized linear models showed that a Toxin Diversity Index (TDI) increased with latitude, while it decreased with water stability. Increases in TDI were explained through a significant increase in toxin variants such as MC-YR, anatoxin and cylindrospermopsin, accompanied by a decreasing presence of MC-LR. While global warming continues, the direct and indirect effects of increased lake temperatures will drive changes in the distribution of cyanobacterial toxins in Europe, potentially promoting selection of a few highly toxic species or strains.}, language = {en} } @article{MantzoukiCampbellvanLoonetal.2018, author = {Mantzouki, Evanthia and Campbell, James and van Loon, Emiel and Visser, Petra and Konstantinou, Iosif and Antoniou, Maria and Giuliani, Gregory and Machado-Vieira, Danielle and de Oliveira, Alinne Gurjao and Maronic, Dubravka Spoljaric and Stevic, Filip and Pfeiffer, Tanja Zuna and Vucelic, Itana Bokan and Zutinic, Petar and Udovic, Marija Gligora and Plenkovic-Moraj, Andelka and Tsiarta, Nikoletta and Blaha, Ludek and Geris, Rodan and Frankova, Marketa and Christoffersen, Kirsten Seestern and Warming, Trine Perlt and Feldmann, Tonu and Laas, Alo and Panksep, Kristel and Tuvikene, Lea and Kangro, Kersti and Haggqvist, Kerstin and Salmi, Pauliina and Arvola, Lauri and Fastner, Jutta and Straile, Dietmar and Rothhaupt, Karl-Otto and Fonvielle, Jeremy Andre and Grossart, Hans-Peter and Avagianos, Christos and Kaloudis, Triantafyllos and Triantis, Theodoros and Zervou, Sevasti-Kiriaki and Hiskia, Anastasia and Gkelis, Spyros and Panou, Manthos and McCarthy, Valerie and Perello, Victor C. and Obertegger, Ulrike and Boscaini, Adriano and Flaim, Giovanna and Salmaso, Nico and Cerasino, Leonardo and Koreiviene, Judita and Karosiene, Jurate and Kasperoviciene, Jurate and Savadova, Ksenija and Vitonyte, Irma and Haande, Sigrid and Skjelbred, Birger and Grabowska, Magdalena and Karpowicz, Maciej and Chmura, Damian and Nawrocka, Lidia and Kobos, Justyna and Mazur-Marzec, Hanna and Alcaraz-Parraga, Pablo and Wilk-Wozniak, Elzbieta and Krzton, Wojciech and Walusiak, Edward and Gagala, Ilona and Mankiewicz-Boczek, Joana and Toporowska, Magdalena and Pawlik-Skowronska, Barbara and Niedzwiecki, Michal and Peczula, Wojciech and Napiorkowska-Krzebietke, Agnieszka and Dunalska, Julita and Sienska, Justyna and Szymanski, Daniel and Kruk, Marek and Budzynska, Agnieszka and Goldyn, Ryszard and Kozak, Anna and Rosinska, Joanna and Szelag-Wasielewska, Elzbieta and Domek, Piotr and Jakubowska-Krepska, Natalia and Kwasizur, Kinga and Messyasz, Beata and Pelechata, Aleksandra and Pelechaty, Mariusz and Kokocinski, Mikolaj and Madrecka, Beata and Kostrzewska-Szlakowska, Iwona and Frak, Magdalena and Bankowska-Sobczak, Agnieszka and Wasilewicz, Michal and Ochocka, Agnieszka and Pasztaleniec, Agnieszka and Jasser, Iwona and Antao-Geraldes, Ana M. and Leira, Manel and Hernandez, Armand and Vasconcelos, Vitor and Morais, Joao and Vale, Micaela and Raposeiro, Pedro M. and Goncalves, Vitor and Aleksovski, Boris and Krstic, Svetislav and Nemova, Hana and Drastichova, Iveta and Chomova, Lucia and Remec-Rekar, Spela and Elersek, Tina and Delgado-Martin, Jordi and Garcia, David and Luis Cereijo, Jose and Goma, Joan and Carmen Trapote, Mari and Vegas-Vilarrubia, Teresa and Obrador, Biel and Garcia-Murcia, Ana and Real, Monserrat and Romans, Elvira and Noguero-Ribes, Jordi and Parreno Duque, David and Fernandez-Moran, Elisabeth and Ubeda, Barbara and Angel Galvez, Jose and Marce, Rafael and Catalan, Nuria and Perez-Martinez, Carmen and Ramos-Rodriguez, Eloisa and Cillero-Castro, Carmen and Moreno-Ostos, Enrique and Maria Blanco, Jose and Rodriguez, Valeriano and Juan Montes-Perez, Jorge and Palomino, Roberto L. and Rodriguez-Perez, Estela and Carballeira, Rafael and Camacho, Antonio and Picazo, Antonio and Rochera, Carlos and Santamans, Anna C. and Ferriol, Carmen and Romo, Susana and Soria, Juan Miguel and Hansson, Lars-Anders and Urrutia-Cordero, Pablo and Ozen, Arda and Bravo, Andrea G. and Buck, Moritz and Colom-Montero, William and Mustonen, Kristiina and Pierson, Don and Yang, Yang and Verspagen, Jolanda M. H. and Domis, Lisette N. de Senerpont and Seelen, Laura and Teurlincx, Sven and Verstijnen, Yvon and Lurling, Miquel and Maliaka, Valentini and Faassen, Elisabeth J. and Latour, Delphine and Carey, Cayelan C. and Paerl, Hans W. and Torokne, Andrea and Karan, Tunay and Demir, Nilsun and Beklioglu, Meryem and Filiz, Nur and Levi, Eti E. and Iskin, Ugur and Bezirci, Gizem and Tavsanoglu, Ulku Nihan and Celik, Kemal and Ozhan, Koray and Karakaya, Nusret and Kocer, Mehmet Ali Turan and Yilmaz, Mete and Maraslioglu, Faruk and Fakioglu, Ozden and Soylu, Elif Neyran and Yagci, Meral Apaydin and Cinar, Sakir and Capkin, Kadir and Yagci, Abdulkadir and Cesur, Mehmet and Bilgin, Fuat and Bulut, Cafer and Uysal, Rahmi and Koker, Latife and Akcaalan, Reyhan and Albay, Meric and Alp, Mehmet Tahir and Ozkan, Korhan and Sevindik, Tugba Ongun and Tunca, Hatice and Onem, Burcin and Richardson, Jessica and Edwards, Christine and Bergkemper, Victoria and Beirne, Eilish and Cromie, Hannah and Ibelings, Bastiaan W.}, title = {Data Descriptor: A European Multi Lake Survey dataset of environmental variables, phytoplankton pigments and cyanotoxins}, series = {Scientific Data}, volume = {5}, journal = {Scientific Data}, publisher = {Nature Publ. Group}, address = {London}, issn = {2052-4463}, doi = {10.1038/sdata.2018.226}, pages = {13}, year = {2018}, abstract = {Under ongoing climate change and increasing anthropogenic activity, which continuously challenge ecosystem resilience, an in-depth understanding of ecological processes is urgently needed. Lakes, as providers of numerous ecosystem services, face multiple stressors that threaten their functioning. Harmful cyanobacterial blooms are a persistent problem resulting from nutrient pollution and climate-change induced stressors, like poor transparency, increased water temperature and enhanced stratification. Consistency in data collection and analysis methods is necessary to achieve fully comparable datasets and for statistical validity, avoiding issues linked to disparate data sources. The European Multi Lake Survey (EMLS) in summer 2015 was an initiative among scientists from 27 countries to collect and analyse lake physical, chemical and biological variables in a fully standardized manner. This database includes in-situ lake variables along with nutrient, pigment and cyanotoxin data of 369 lakes in Europe, which were centrally analysed in dedicated laboratories. Publishing the EMLS methods and dataset might inspire similar initiatives to study across large geographic areas that will contribute to better understanding lake responses in a changing environment.}, language = {en} } @misc{MantzoukiLuerlingFastneretal.2018, author = {Mantzouki, Evanthia and L{\"u}rling, Miquel and Fastner, Jutta and Domis, Lisette Nicole de Senerpont and Wilk-Wo{\'{z}}niak, Elżbieta and Koreiviene, Judita and Seelen, Laura and Teurlincx, Sven and Verstijnen, Yvon and Krztoń, Wojciech and Walusiak, Edward and Karosienė, Jūratė and Kasperovičienė, Jūratė and Savadova, Ksenija and Vitonytė, Irma and Cillero-Castro, Carmen and Budzyńska, Agnieszka and Goldyn, Ryszard and Kozak, Anna and Rosińska, Joanna and Szeląg-Wasielewska, Elżbieta and Domek, Piotr and Jakubowska-Krepska, Natalia and Kwasizur, Kinga and Messyasz, Beata and Pełechata, Aleksandra and Pełechaty, Mariusz and Kokocinski, Mikolaj and Garc{\´i}a-Murcia, Ana and Real, Monserrat and Romans, Elvira and Noguero-Ribes, Jordi and Duque, David Parre{\~n}o and Fern{\´a}ndez-Mor{\´a}n, El{\´i}sabeth and Karakaya, Nusret and H{\"a}ggqvist, Kerstin and Beklioğlu, Meryem and Filiz, Nur and Levi, Eti E. and Iskin, Uğur and Bezirci, Gizem and Tav{\c{s}}anoğlu, {\"U}lk{\"u} Nihan and {\"O}zhan, Koray and Gkelis, Spyros and Panou, Manthos and Fakioglu, {\"O}zden and Avagianos, Christos and Kaloudis, Triantafyllos and {\c{C}}elik, Kemal and Yilmaz, Mete and Marc{\´e}, Rafael and Catal{\´a}n, Nuria and Bravo, Andrea G. and Buck, Moritz and Colom-Montero, William and Mustonen, Kristiina and Pierson, Don and Yang, Yang and Raposeiro, Pedro M. and Gon{\c{c}}alves, V{\´i}tor and Antoniou, Maria G. and Tsiarta, Nikoletta and McCarthy, Valerie and Perello, Victor C. and Feldmann, T{\~o}nu and Laas, Alo and Panksep, Kristel and Tuvikene, Lea and Gagala, Ilona and Mankiewicz-Boczek, Joana and Yağc{\i}, Meral Apayd{\i}n and {\c{C}}{\i}nar, Şakir and {\c{C}}apk{\i}n, Kadir and Yağc{\i}, Abdulkadir and Cesur, Mehmet and Bilgin, Fuat and Bulut, Cafer and Uysal, Rahmi and Obertegger, Ulrike and Boscaini, Adriano and Flaim, Giovanna and Salmaso, Nico and Cerasino, Leonardo and Richardson, Jessica and Visser, Petra M. and Verspagen, Jolanda M. H. and Karan, T{\"u}nay and Soylu, Elif Neyran and Mara{\c{s}}l{\i}oğlu, Faruk and Napi{\´o}rkowska-Krzebietke, Agnieszka and Ochocka, Agnieszka and Pasztaleniec, Agnieszka and Ant{\~a}o-Geraldes, Ana M. and Vasconcelos, Vitor and Morais, Jo{\~a}o and Vale, Micaela and K{\"o}ker, Latife and Ak{\c{c}}aalan, Reyhan and Albay, Meri{\c{c}} and Maronić, Dubravka Špoljarić and Stević, Filip and Pfeiffer, Tanja Žuna and Fonvielle, Jeremy Andre and Straile, Dietmar and Rothhaupt, Karl-Otto and Hansson, Lars-Anders and Urrutia-Cordero, Pablo and Bl{\´a}ha, Luděk and Geriš, Rodan and Fr{\´a}nkov{\´a}, Mark{\´e}ta and Ko{\c{c}}er, Mehmet Ali Turan and Alp, Mehmet Tahir and Remec-Rekar, Spela and Elersek, Tina and Triantis, Theodoros and Zervou, Sevasti-Kiriaki and Hiskia, Anastasia and Haande, Sigrid and Skjelbred, Birger and Madrecka, Beata and Nemova, Hana and Drastichova, Iveta and Chomova, Lucia and Edwards, Christine and Sevindik, Tuğba Ongun and Tunca, Hatice and {\"O}nem, Bur{\c{c}}in and Aleksovski, Boris and Krstić, Svetislav and Vucelić, Itana Bokan and Nawrocka, Lidia and Salmi, Pauliina and Machado-Vieira, Danielle and Oliveira, Alinne Gurj{\~a}o De and Delgado-Mart{\´i}n, Jordi and Garc{\´i}a, David and Cereijo, Jose Lu{\´i}s and Gom{\`a}, Joan and Trapote, Mari Carmen and Vegas-Vilarr{\´u}bia, Teresa and Obrador, Biel and Grabowska, Magdalena and Karpowicz, Maciej and Chmura, Damian and {\´U}beda, B{\´a}rbara and G{\´a}lvez, Jos{\´e} {\´A}ngel and {\"O}zen, Arda and Christoffersen, Kirsten Seestern and Warming, Trine Perlt and Kobos, Justyna and Mazur-Marzec, Hanna and P{\´e}rez-Mart{\´i}nez, Carmen and Ramos-Rodr{\´i}guez, Elo{\´i}sa and Arvola, Lauri and Alcaraz-P{\´a}rraga, Pablo and Toporowska, Magdalena and Pawlik-Skowronska, Barbara and Nied{\'{z}}wiecki, Michał and Pęczuła, Wojciech and Leira, Manel and Hern{\´a}ndez, Armand and Moreno-Ostos, Enrique and Blanco, Jos{\´e} Mar{\´i}a and Rodr{\´i}guez, Valeriano and Montes-P{\´e}rez, Jorge Juan and Palomino, Roberto L. and Rodr{\´i}guez-P{\´e}rez, Estela and Carballeira, Rafael and Camacho, Antonio and Picazo, Antonio and Rochera, Carlos and Santamans, Anna C. and Ferriol, Carmen and Romo, Susana and Soria, Juan Miguel and Dunalska, Julita and Sieńska, Justyna and Szymański, Daniel and Kruk, Marek and Kostrzewska-Szlakowska, Iwona and Jasser, Iwona and Žutinić, Petar and Udovič, Marija Gligora and Plenković-Moraj, Anđelka and Frąk, Magdalena and Bańkowska-Sobczak, Agnieszka and Wasilewicz, Michał and {\"O}zkan, Korhan and Maliaka, Valentini and Kangro, Kersti and Grossart, Hans-Peter and Paerl, Hans W. and Carey, Cayelan C. and Ibelings, Bas W.}, title = {Temperature effects explain continental scale distribution of cyanobacterial toxins}, series = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam : Mathematisch-Naturwissenschaftliche Reihe}, number = {1105}, issn = {1866-8372}, doi = {10.25932/publishup-42790}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-427902}, pages = {26}, year = {2018}, abstract = {Insight into how environmental change determines the production and distribution of cyanobacterial toxins is necessary for risk assessment. Management guidelines currently focus on hepatotoxins (microcystins). Increasing attention is given to other classes, such as neurotoxins (e.g., anatoxin-a) and cytotoxins (e.g., cylindrospermopsin) due to their potency. Most studies examine the relationship between individual toxin variants and environmental factors, such as nutrients, temperature and light. In summer 2015, we collected samples across Europe to investigate the effect of nutrient and temperature gradients on the variability of toxin production at a continental scale. Direct and indirect effects of temperature were the main drivers of the spatial distribution in the toxins produced by the cyanobacterial community, the toxin concentrations and toxin quota. Generalized linear models showed that a Toxin Diversity Index (TDI) increased with latitude, while it decreased with water stability. Increases in TDI were explained through a significant increase in toxin variants such as MC-YR, anatoxin and cylindrospermopsin, accompanied by a decreasing presence of MC-LR. While global warming continues, the direct and indirect effects of increased lake temperatures will drive changes in the distribution of cyanobacterial toxins in Europe, potentially promoting selection of a few highly toxic species or strains.}, language = {en} } @article{BronstertdeAraujoBatallaVillanuevaetal.2014, author = {Bronstert, Axel and de Araujo, Jose-Carlos and Batalla Villanueva, Ramon J. and Costa, Alexandre Cunha and Delgado, Jos{\´e} Miguel Martins and Francke, Till and F{\"o}rster, Saskia and Guentner, Andreas and Lopez-Tarazon, Jos{\´e} Andr{\´e}s and Mamede, George Leite and Medeiros, Pedro Henrique Augusto and Mueller, Eva and Vericat, Damia}, title = {Process-based modelling of erosion, sediment transport and reservoir siltation in mesoscale semi-arid catchments}, series = {Journal of soils and sediments : protection, risk assessment and remediation}, volume = {14}, journal = {Journal of soils and sediments : protection, risk assessment and remediation}, number = {12}, publisher = {Springer}, address = {Heidelberg}, issn = {1439-0108}, doi = {10.1007/s11368-014-0994-1}, pages = {2001 -- 2018}, year = {2014}, abstract = {To support scientifically sound water management in dryland environments a modelling system has been developed for the quantitative assessment of water and sediment fluxes in catchments, transport in the river system, and retention in reservoirs. The spatial scale of interest is the mesoscale because this is the scale most relevant for management of water and land resources. This modelling system comprises process-oriented hydrological components tailored for dryland characteristics coupled with components comprising hillslope erosion, sediment transport and reservoir deposition processes. The spatial discretization is hierarchically designed according to a multi-scale concept to account for particular relevant process scales. The non-linear and partly intermittent run-off generation and sediment dynamics are dealt with by accounting for connectivity phenomena at the intersections of landscape compartments. The modelling system has been developed by means of data from nested research catchments in NE-Spain and in NE-Brazil. In the semi-arid NE of Brazil sediment retention along the topography is the main process for sediment retention at all scales, i.e. the sediment delivery is transport limited. This kind of deposition retains roughly 50 to 60 \% of eroded sediment, maintaining a similar deposition proportion in all spatial scales investigated. On the other hand, the sediment retained in reservoirs is clearly related to the scale, increasing with catchment area. With increasing area, there are more reservoirs, increasing the possibility of deposition. Furthermore, the area increase also promotes an increase in flow volume, favouring the construction of larger reservoirs, which generally overflow less frequently and retain higher sediment fractions. The second example comprises a highly dynamic Mediterranean catchment in NE-Spain with nested sub-catchments and reveals the full dynamics of hydrological, erosion and deposition features. The run-off modelling performed well with only some overestimation during low-flow periods due to the neglect of water losses along the river. The simulated peaks in sediment flux are reproduced well, while low-flow sediment transport is less well captured, due to the disregard of sediment remobilization in the riverbed during low flow. This combined observation and modelling study deepened the understanding of hydro-sedimentological systems characterized by flashy run-off generation and by erosion and sediment transport pulses through the different landscape compartments. The connectivity between the different landscape compartments plays a very relevant role, regarding both the total mass of water and sediment transport and the transport time through the catchment.}, language = {en} } @misc{DelgadoVossBuergeretal.2018, author = {Delgado, Jos{\´e} Miguel Martins and Voss, Sebastian and B{\"u}rger, Gerd and Vormoor, Klaus Josef and Murawski, Aline and Rodrigues Pereira, Jos{\´e} Marcelo and Martins, Eduardo and Vasconcelos J{\´u}nior, Francisco and Francke, Till}, title = {Seasonal drought prediction for semiarid northeastern Brazil}, series = {Hydrology and Earth System Sciences}, journal = {Hydrology and Earth System Sciences}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-418461}, pages = {16}, year = {2018}, abstract = {A set of seasonal drought forecast models was assessed and verified for the Jaguaribe River in semiarid northeastern Brazil. Meteorological seasonal forecasts were provided by the operational forecasting system used at FUNCEME (Cear{\´a}'s research foundation for meteorology)and by the European Centre for Medium-Range Weather Forecasts (ECMWF). Three downscaling approaches (empirical quantile mapping, extended downscaling and weather pattern classification) were tested and combined with the models in hindcast mode for the period 1981 to 2014. The forecast issue time was January and the forecast period was January to June. Hydrological drought indices were obtained by fitting a multivariate linear regression to observations. In short, it was possible to obtain forecasts for (a) monthly precipitation,(b) meteorological drought indices, and (c) hydrological drought indices. The skill of the forecasting systems was evaluated with regard to root mean square error (RMSE), the Brier skill score (BSS) and the relative operating characteristic skill score (ROCSS). The tested forecasting products showed similar performance in the analyzed metrics. Forecasts of monthly precipitation had little or no skill considering RMSE and mostly no skill with BSS. A similar picture was seen when forecasting meteorological drought indices: low skill regarding RMSE and BSS and significant skill when discriminating hit rate and false alarm rate given by the ROCSS (forecasting drought events of, e.g., SPEI1 showed a ROCSS of around 0.5). Regarding the temporal variation of the forecast skill of the meteorological indices, it was greatest for April, when compared to the remaining months of the rainy season, while the skill of reservoir volume forecasts decreased with lead time. This work showed that a multi-model ensemble can forecast drought events of timescales relevant to water managers in northeastern Brazil with skill. But no or little skill could be found in the forecasts of monthly precipitation or drought indices of lower scales, like SPI1. Both this work and those here revisited showed that major steps forward are needed in forecasting the rainy season in northeastern Brazil.}, language = {en} } @article{DelgadoVossBuergeretal.2018, author = {Delgado, Jos{\´e} Miguel Martins and Voss, Sebastian and B{\"u}rger, Gerd and Vormoor, Klaus Josef and Murawski, Aline and Rodrigues Pereira, Jos{\´e} Marcelo and Martins, Eduardo and Vasconcelos J{\´u}nior, Francisco and Francke, Till}, title = {Seasonal drought prediction for semiarid northeastern Brazil}, series = {Hydrology and Earth System Sciences}, volume = {22}, journal = {Hydrology and Earth System Sciences}, number = {9}, publisher = {Copernicus Publ.}, address = {G{\"o}ttingen}, issn = {1027-5606}, doi = {10.5194/hess-22-5041-2018}, pages = {5041 -- 5056}, year = {2018}, abstract = {A set of seasonal drought forecast models was assessed and verified for the Jaguaribe River in semiarid northeastern Brazil. Meteorological seasonal forecasts were provided by the operational forecasting system used at FUNCEME (Cear{\´a}'s research foundation for meteorology)and by the European Centre for Medium-Range Weather Forecasts (ECMWF). Three downscaling approaches (empirical quantile mapping, extended downscaling and weather pattern classification) were tested and combined with the models in hindcast mode for the period 1981 to 2014. The forecast issue time was January and the forecast period was January to June. Hydrological drought indices were obtained by fitting a multivariate linear regression to observations. In short, it was possible to obtain forecasts for (a) monthly precipitation,(b) meteorological drought indices, and (c) hydrological drought indices. The skill of the forecasting systems was evaluated with regard to root mean square error (RMSE), the Brier skill score (BSS) and the relative operating characteristic skill score (ROCSS). The tested forecasting products showed similar performance in the analyzed metrics. Forecasts of monthly precipitation had little or no skill considering RMSE and mostly no skill with BSS. A similar picture was seen when forecasting meteorological drought indices: low skill regarding RMSE and BSS and significant skill when discriminating hit rate and false alarm rate given by the ROCSS (forecasting drought events of, e.g., SPEI1 showed a ROCSS of around 0.5). Regarding the temporal variation of the forecast skill of the meteorological indices, it was greatest for April, when compared to the remaining months of the rainy season, while the skill of reservoir volume forecasts decreased with lead time. This work showed that a multi-model ensemble can forecast drought events of timescales relevant to water managers in northeastern Brazil with skill. But no or little skill could be found in the forecasts of monthly precipitation or drought indices of lower scales, like SPI1. Both this work and those here revisited showed that major steps forward are needed in forecasting the rainy season in northeastern Brazil.}, language = {en} } @article{GreeneThirumalaiKearneyetal.2019, author = {Greene, Chad A. and Thirumalai, Kaustubh and Kearney, Kelly A. and Delgado, Jose Miguel Martins and Schwanghart, Wolfgang and Wolfenbarger, Natalie S. and Thyng, Kristen M. and Gwyther, David E. and Gardner, Alex S. and Blankenship, Donald D.}, title = {The Climate Data Toolbox for MATLAB}, series = {Geochemistry, geophysics, geosystems}, volume = {20}, journal = {Geochemistry, geophysics, geosystems}, number = {7}, publisher = {American Geophysical Union}, address = {Washington}, issn = {1525-2027}, doi = {10.1029/2019GC008392}, pages = {3774 -- 3781}, year = {2019}, abstract = {Climate science is highly interdisciplinary by nature, so understanding interactions between Earth processes inherently warrants the use of analytical software that can operate across the disciplines of Earth science. Toward this end, we present the Climate Data Toolbox for MATLAB, which contains more than 100 functions that span the major climate-related disciplines of Earth science. The toolbox enables streamlined, entirely scriptable workflows that are intuitive to write and easy to share. Included are functions to evaluate uncertainty, perform matrix operations, calculate climate indices, and generate common data displays. Documentation is presented pedagogically, with thorough explanations of how each function works and tutorials showing how the toolbox can be used to replicate results of published studies. As a well-tested, well-documented platform for interdisciplinary collaborations, the Climate Data Toolbox for MATLAB aims to reduce time spent writing low-level code, let researchers focus on physics rather than coding and encourage more efficacious code sharing. Plain Language Summary This article describes a collection of computer code that has recently been released to help scientists analyze many types of Earth science data. The code in this toolbox makes it easy to investigate things like global warming, El Nino, or other major climate-related processes such as how winds affect ocean circulation. Although the toolbox was designed to be used by expert climate scientists, its instruction manual is well written, and beginners may be able to learn a great deal about coding and Earth science, simply by following along with the provided examples. The toolbox is intended to help scientists save time, help them ensure their analysis is accurate, and make it easy for other scientists to repeat the results of previous studies.}, language = {en} } @phdthesis{Delgado2013, author = {Delgado, Jose Miguel Martins}, title = {Explaning change in flood hazard in the Mekong river : the hypothesis of nonstationary variance}, address = {Potsdam}, pages = {X, 104 S.}, year = {2013}, language = {en} } @article{SoliveresMaestreUlrichetal.2015, author = {Soliveres, Santiago and Maestre, Fernando T. and Ulrich, Werner and Manning, Peter and Boch, Steffen and Bowker, Matthew A. and Prati, Daniel and Delgado-Baquerizo, Manuel and Quero, Jose L. and Sch{\"o}ning, Ingo and Gallardo, Antonio and Weisser, Wolfgang W. and M{\"u}ller, J{\"o}rg and Socher, Stephanie A. and Garcia-Gomez, Miguel and Ochoa, Victoria and Schulze, Ernst-Detlef and Fischer, Markus and Allan, Eric}, title = {Intransitive competition is widespread in plant communities and maintains their species richness}, series = {Ecology letters}, volume = {18}, journal = {Ecology letters}, number = {8}, publisher = {Wiley-Blackwell}, address = {Hoboken}, issn = {1461-023X}, doi = {10.1111/ele.12456}, pages = {790 -- 798}, year = {2015}, abstract = {Intransitive competition networks, those in which there is no single best competitor, may ensure species coexistence. However, their frequency and importance in maintaining diversity in real-world ecosystems remain unclear. We used two large data sets from drylands and agricultural grasslands to assess: (1) the generality of intransitive competition, (2) intransitivity-richness relationships and (3) effects of two major drivers of biodiversity loss (aridity and land-use intensification) on intransitivity and species richness. Intransitive competition occurred in >65\% of sites and was associated with higher species richness. Intransitivity increased with aridity, partly buffering its negative effects on diversity, but was decreased by intensive land use, enhancing its negative effects on diversity. These contrasting responses likely arise because intransitivity is promoted by temporal heterogeneity, which is enhanced by aridity but may decline with land-use intensity. We show that intransitivity is widespread in nature and increases diversity, but it can be lost with environmental homogenisation.}, language = {en} } @article{SwierczynskiLauterbachDulskietal.2013, author = {Swierczynski, Tina and Lauterbach, Stefan and Dulski, Peter and Delgado, Jose Miguel Martins and Merz, Bruno and Brauer, Achim}, title = {Mid- to late holocene flood frequency changes in the northeastern Alps as recorded in varved sediments of Lake Mondsee (Upper Austria)}, series = {Quaternary science reviews : the international multidisciplinary research and review journal}, volume = {80}, journal = {Quaternary science reviews : the international multidisciplinary research and review journal}, publisher = {Elsevier}, address = {Oxford}, issn = {0277-3791}, doi = {10.1016/j.quascirev.2013.08.018}, pages = {78 -- 90}, year = {2013}, abstract = {Annually laminated (varved) lake sediments with intercalated detrital layers resulting from sedimentary input by runoff events are ideal archives to establish precisely dated records of past extreme runoff events. In this study, the mid- to late Holocene varved sediments of Lake Mondsee (Upper Austria) were analysed by combining sedimentological, geophysical and geochemical methods. This approach allows to distinguish two types of detrital layers related to different types of extreme runoff events (floods and debris flows) and to detect changes in flood activity during the last 7100 years. In total, 271 flood and 47 debris flow layers, deposited during spring and summer, were identified, which cluster in 18 main flood episodes (FE 1-18) with durations of 30-50 years each. These main flood periods occurred during the Neolithic (7100-7050 vyr BP and 6470-4450 vyr BP), the late Bronze Age and the early Iron Age (3300-3250 and 2800-2750 vyr BP), the late Iron Age (2050-2000 vyr BP), throughout the Dark Ages Cold Period (1500-1200 vyr BP), and at the end of the Medieval Warm Period and the Little Ice Age (810-430 vyr BP). Summer flood episodes in Lake Mondsee are generally more abundant during the last 1500 years, often coinciding with major advances of Alpine glaciers. Prior to 1500 vyr BP, spring/summer floods and debris flows are generally less frequent, indicating a lower number of intense rainfall events that triggered erosion. In comparison with the increase of late Holocene flood activity in western and northwestern (NW) Europe, commencing already as early as 2800 yr BP, the hydro-meteorological shift in the Lake Mondsee region occurred much later. These time lags in the onset of increased hydrological activity might be either due to regional differences in atmospheric circulation pattern or to the sensitivity of the individual flood archives. The Lake Mondsee sediments represent the first precisely dated and several millennia long summer flood record for the northeastern (NE) Alps, a key region at the climatic boundary of Atlantic, Mediterranean and East European air masses, aiding a better understanding of regional and seasonal peculiarities of flood occurrence under changing climate conditions. (C) 2013 Elsevier Ltd. All rights reserved.}, language = {en} } @article{MerzAertsArnbjergNielsenetal.2014, author = {Merz, Bruno and Aerts, Jeroen C. J. H. and Arnbjerg-Nielsen, Karsten and Baldi, M. and Becker, Andrew C. and Bichet, A. and Bloeschl, G. and Bouwer, Laurens M. and Brauer, Achim and Cioffi, F. and Delgado, Jose Miguel Martins and Gocht, M. and Guzzetti, F. and Harrigan, S. and Hirschboeck, K. and Kilsby, C. and Kron, W. and Kwon, H. -H. and Lall, U. and Merz, R. and Nissen, K. and Salvatti, P. and Swierczynski, Tina and Ulbrich, U. and Viglione, A. and Ward, P. J. and Weiler, M. and Wilhelm, B. and Nied, Manuela}, title = {Floods and climate: emerging perspectives for flood risk assessment and management}, series = {Natural hazards and earth system sciences}, volume = {14}, journal = {Natural hazards and earth system sciences}, number = {7}, publisher = {Copernicus}, address = {G{\"o}ttingen}, issn = {1561-8633}, doi = {10.5194/nhess-14-1921-2014}, pages = {1921 -- 1942}, year = {2014}, abstract = {Flood estimation and flood management have traditionally been the domain of hydrologists, water resources engineers and statisticians, and disciplinary approaches abound. Dominant views have been shaped; one example is the catchment perspective: floods are formed and influenced by the interaction of local, catchment-specific characteristics, such as meteorology, topography and geology. These traditional views have been beneficial, but they have a narrow framing. In this paper we contrast traditional views with broader perspectives that are emerging from an improved understanding of the climatic context of floods. We come to the following conclusions: (1) extending the traditional system boundaries (local catchment, recent decades, hydrological/hydraulic processes) opens up exciting possibilities for better understanding and improved tools for flood risk assessment and management. (2) Statistical approaches in flood estimation need to be complemented by the search for the causal mechanisms and dominant processes in the atmosphere, catchment and river system that leave their fingerprints on flood characteristics. (3) Natural climate variability leads to time-varying flood characteristics, and this variation may be partially quantifiable and predictable, with the perspective of dynamic, climate-informed flood risk management. (4) Efforts are needed to fully account for factors that contribute to changes in all three risk components (hazard, exposure, vulnerability) and to better understand the interactions between society and floods. (5) Given the global scale and societal importance, we call for the organization of an international multidisciplinary collaboration and data-sharing initiative to further understand the links between climate and flooding and to advance flood research.}, language = {en} } @article{NguyenNghiaHungDelgadoGuentneretal.2014, author = {Nguyen Nghia Hung, and Delgado, Jos{\´e} Miguel Martins and Guentner, Andreas and Merz, Bruno and Bardossy, Andras and Apel, Heiko}, title = {Sedimentation in the floodplains of the Mekong Delta, Vietnam Part II: deposition and erosion}, series = {Hydrological processes}, volume = {28}, journal = {Hydrological processes}, number = {7}, publisher = {Wiley-Blackwell}, address = {Hoboken}, issn = {0885-6087}, doi = {10.1002/hyp.9855}, pages = {3145 -- 3160}, year = {2014}, abstract = {Deposition and erosion play a key role in the determination of the sediment budget of a river basin, as well as for floodplain sedimentation. Floodplain sedimentation, in turn, is a relevant factor for the design of flood protection measures, productivity of agro-ecosystems, and for ecological rehabilitation plans. In the Mekong Delta, erosion and deposition are important factors for geomorphological processes like the compensation of deltaic subsidence as well as for agricultural productivity. Floodplain deposition is also counteracting the increasing climate change induced hazard by sea level rise in the delta. Despite this importance, a sediment database of the Mekong Delta is lacking, and the knowledge about erosion and deposition processes is limited. In the Vietnamese part of the Delta, the annually flooded natural floodplains have been replaced by a dense system of channels, dikes, paddy fields, and aquaculture ponds, resulting in floodplain compartments protected by ring dikes. The agricultural productivity depends on the sediment and associated nutrient input to the floodplains by the annual floods. However, no quantitative information regarding their sediment trapping efficiency has been reported yet. The present study investigates deposition and erosion based on intensive field measurements in three consecutive years (2008, 2009, and 2010). Optical backscatter sensors are used in combination with sediment traps for interpreting deposition and erosion processes in different locations. In our study area, the mean calculated deposition rate is 6.86kg/m(2) (approximate to 6mm/year). The key parameters for calculating erosion and deposition are estimated, i.e. the critical bed shear stress for deposition and erosion and the surface constant erosion rate. The bulk of the floodplain sediment deposition is found to occur during the initial stage of floodplain inundation. This finding has direct implications on the operation of sluice gates in order to optimize sediment input and distribution in the floodplains.}, language = {en} } @article{NguyenNghiaHungDelgadoGuentneretal.2014, author = {Nguyen Nghia Hung, and Delgado, Jos{\´e} Miguel Martins and G{\"u}ntner, Andreas and Merz, Bruno and Bardossy, Andras and Apel, Heiko}, title = {Sedimentation in the floodplains of the Mekong Delta, Vietnam. Part I: suspended sediment dynamics}, series = {Hydrological processes}, volume = {28}, journal = {Hydrological processes}, number = {7}, publisher = {Wiley-Blackwell}, address = {Hoboken}, issn = {0885-6087}, doi = {10.1002/hyp.9856}, pages = {3132 -- 3144}, year = {2014}, abstract = {Suspended sediment is the primary source for a sustainable agro-ecosystem in the Mekong Delta by providing nutrient input for the subsequent cropping season. In addition, the suspended sediment concentration (SSC) plays an important role in the erosion and deposition processes in the Delta; that is, it influences the morphologic development and may counteract the deltaic subsidence and sea level rise. Despite this importance, little is known about the dynamics of suspended sediment in the floodplains of the Mekong Delta. In particular, quantitative analyses are lacking mainly because of data scarcity with respect to the inundation processes in the floodplains. In 2008, therefore, a comprehensive in situ system to monitor the dynamics of suspended sediment in a study area located in the Plain of Reeds was established, aiming at the characterization and quantification of suspended sediment dynamics in the deeply inundated parts of the Vietnamese part of the Mekong Delta. The monitoring system was equipped with seven water quality-monitoring stations. They have a robust design and autonomous power supply suitable for operation on inundated floodplains, enabling the collection of reliable data over a long period of time with a high temporal resolution. The data analysis shows that the general seasonal dynamics of suspended sediment transport in the Delta is controlled by two main mechanisms: the flood wave of the Mekong River and the tidal backwater influences from the coast. In the channel network, SSC decreases exponentially with distance from the Mekong River. The anthropogenic influence on SSC could also be identified for two periods: at the start of the floodplain inundation and at the end of the flood period, when subsequent paddy rice crops are prepared. Based on the results, we recommend an operation scheme for the sluice gates, which intends to distribute the sediment and thus the nutrients equally over the floodplain.}, language = {en} } @article{DelgadoMerzApel2014, author = {Delgado, Jose Miguel Martins and Merz, Bruno and Apel, Heiko}, title = {Projecting flood hazard under climate change: an alternative approach to model chains}, series = {Natural hazards and earth system sciences}, volume = {14}, journal = {Natural hazards and earth system sciences}, number = {6}, publisher = {Copernicus}, address = {G{\"o}ttingen}, issn = {1561-8633}, doi = {10.5194/nhess-14-1579-2014}, pages = {1579 -- 1589}, year = {2014}, abstract = {Flood hazard projections under climate change are typically derived by applying model chains consisting of the following elements: "emission scenario - global climate model - downscaling, possibly including bias correction hydrological model - flood frequency analysis". To date, this approach yields very uncertain results, due to the difficulties of global and regional climate models to represent precipitation. The implementation of such model chains requires major efforts, and their complexity is high. We propose for the Mekong River an alternative approach which is based on a shortened model chain: "emission scenario - global climate model - non-stationary flood frequency model". The underlying idea is to use a link between the Western Pacific monsoon and local flood characteristics: the variance of the monsoon drives a non-stationary flood frequency model, yielding a direct estimate of flood probabilities. This approach bypasses the uncertain precipitation, since the monsoon variance is derived from large-scale wind fields which are better represented by climate models. The simplicity of the monsoon-flood link allows deriving large ensembles of flood projections under climate change. We conclude that this is a worthwhile, complementary approach to the typical model chains in catchments where a substantial link between climate and floods is found.}, language = {en} } @article{PilzDelgadoVossetal.2019, author = {Pilz, Tobias and Delgado, Jos{\´e} Miguel Martins and Voss, Sebastian and Vormoor, Klaus Josef and Francke, Till and Cunha Costa, Alexandre and Martins, Eduardo and Bronstert, Axel}, title = {Seasonal drought prediction for semiarid northeast Brazil}, series = {Hydrology and Earth System Sciences}, volume = {23}, journal = {Hydrology and Earth System Sciences}, publisher = {Copernicus Publications}, address = {G{\"o}ttingen}, issn = {1027-5606}, doi = {10.5194/hess-23-1951-2019}, pages = {1951 -- 1971}, year = {2019}, abstract = {The semiarid northeast of Brazil is one of the most densely populated dryland regions in the world and recurrently affected by severe droughts. Thus, reliable seasonal forecasts of streamflow and reservoir storage are of high value for water managers. Such forecasts can be generated by applying either hydrological models representing underlying processes or statistical relationships exploiting correlations among meteorological and hydrological variables. This work evaluates and compares the performances of seasonal reservoir storage forecasts derived by a process-based hydrological model and a statistical approach. Driven by observations, both models achieve similar simulation accuracies. In a hindcast experiment, however, the accuracy of estimating regional reservoir storages was considerably lower using the process-based hydrological model, whereas the resolution and reliability of drought event predictions were similar by both approaches. Further investigations regarding the deficiencies of the process-based model revealed a significant influence of antecedent wetness conditions and a higher sensitivity of model prediction performance to rainfall forecast quality. Within the scope of this study, the statistical model proved to be the more straightforward approach for predictions of reservoir level and drought events at regionally and monthly aggregated scales. However, for forecasts at finer scales of space and time or for the investigation of underlying processes, the costly initialisation and application of a process-based model can be worthwhile. Furthermore, the application of innovative data products, such as remote sensing data, and operational model correction methods, like data assimilation, may allow for an enhanced exploitation of the advanced capabilities of process-based hydrological models.}, language = {en} } @misc{PilzDelgadoVossetal.2019, author = {Pilz, Tobias and Delgado, Jos{\´e} Miguel Martins and Voss, Sebastian and Vormoor, Klaus Josef and Francke, Till and Cunha Costa, Alexandre and Martins, Eduardo and Bronstert, Axel}, title = {Seasonal drought prediction for semiarid northeast Brazil}, series = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam Mathematisch-Naturwissenschaftliche Reihe}, number = {702}, issn = {1866-8372}, doi = {10.25932/publishup-42795}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-427950}, pages = {21}, year = {2019}, abstract = {The semiarid northeast of Brazil is one of the most densely populated dryland regions in the world and recurrently affected by severe droughts. Thus, reliable seasonal forecasts of streamflow and reservoir storage are of high value for water managers. Such forecasts can be generated by applying either hydrological models representing underlying processes or statistical relationships exploiting correlations among meteorological and hydrological variables. This work evaluates and compares the performances of seasonal reservoir storage forecasts derived by a process-based hydrological model and a statistical approach. Driven by observations, both models achieve similar simulation accuracies. In a hindcast experiment, however, the accuracy of estimating regional reservoir storages was considerably lower using the process-based hydrological model, whereas the resolution and reliability of drought event predictions were similar by both approaches. Further investigations regarding the deficiencies of the process-based model revealed a significant influence of antecedent wetness conditions and a higher sensitivity of model prediction performance to rainfall forecast quality. Within the scope of this study, the statistical model proved to be the more straightforward approach for predictions of reservoir level and drought events at regionally and monthly aggregated scales. However, for forecasts at finer scales of space and time or for the investigation of underlying processes, the costly initialisation and application of a process-based model can be worthwhile. Furthermore, the application of innovative data products, such as remote sensing data, and operational model correction methods, like data assimilation, may allow for an enhanced exploitation of the advanced capabilities of process-based hydrological models.}, language = {en} } @article{AhnenAnsoldiAntonellietal.2018, author = {Ahnen, M. L. and Ansoldi, S. and Antonelli, L. A. and Arcaro, C. and Babic, A. and Banerjee, B. and Bangale, P. and Barres de Almeida, U. and Barrio, J. A. and Gonzalez, J. Becerra and Bednarek, W. and Bernardini, E. and Berti, A. and Bhattacharyya, W. and Blanch, O. and Bonnoli, G. and Carosi, R. and Carosi, A. and Chatterjee, A. and Colak, S. M. and Colin, P. and Colombo, E. and Contreras, J. L. and Cortina, J. and Covino, S. and Cumani, P. and Da Vela, P. and Dazzi, F. and De Angelis, A. and De Lotto, B. and Delfino, M. and Delgado, Jose Miguel Martins and Di Pierro, F. and Doert, M. and Dominguez, A. and Prester, D. Dominis and Doro, M. and Glawion, D. Eisenacher and Engelkemeier, M. and Ramazani, V. Fallah and Fernandez-Barral, A. and Fidalgo, D. and Fonseca, M. V. and Font, L. and Fruck, C. and Galindo, D. and Lopez, R. J. Garcia and Garczarczyk, M. and Gaug, M. and Giammaria, P. and Godinovic, N. and Gora, D. and Guberman, D. and Hadasch, D. and Hahn, A. and Hassan, T. and Hayashida, M. and Herrera, J. and Hose, J. and Hrupec, D. and Ishio, K. and Konno, Y. and Kubo, H. and Kushida, J. and Kuvezdic, D. and Lelas, D. and Lindfors, E. and Lombardi, S. and Longo, F. and Lopez, M. and Maggio, C. and Majumdar, P. and Makariev, M. and Maneva, G. and Manganaro, M. and Maraschi, L. and Mariotti, M. and Martinez, M. and Mazin, D. and Menzel, U. and Minev, M. and Miranda, J. M. and Mirzoyan, R. and Moralejo, A. and Moreno, V. and Moretti, E. and Nagayoshi, T. and Neustroev, V. and Niedzwiecki, A. and Nievas Rosillo, M. and Nigro, C. and Nilsson, K. and Ninci, D. and Nishijima, K. and Noda, K. and Nogues, L. and Paiano, S. and Palacio, J. and Paneque, D. and Paoletti, R. and Paredes, J. M. and Pedaletti, G. and Peresano, M. and Perri, L. and Persic, M. and Moroni, P. G. Prada and Prandini, E. and Puljak, I. and Garcia, J. R. and Reichardt, I. and Ribo, M. and Rico, J. and Righi, C. and Rugliancich, A. and Saito, T. and Satalecka, K. and Schroeder, S. and Schweizer, T. and Shore, S. N. and Sitarek, J. and Snidaric, I. and Sobczynska, D. and Stamerra, A. and Strzys, M. and Suric, T. and Takalo, L. and Tavecchio, F. and Temnikov, P. and Terzic, T. and Teshima, M. and Torres-Alba, N. and Treves, A. and Tsujimoto, S. and Vanzo, G. and Vazquez Acosta, M. and Vovk, I. and Ward, J. E. and Will, M. and Zaric, D. and Arbet-Engels, A. and Baack, D. and Balbo, M. and Biland, A. and Blank, M. and Bretz, T. and Bruegge, K. and Bulinski, M. and Buss, J. and Dmytriiev, A. and Dorner, D. and Einecke, S. and Elsaesser, D. and Herbst, T. and Hildebrand, D. and Kortmann, L. and Linhoff, L. and Mahlke, M. and Mannheim, K. and Mueller, S. A. and Neise, D. and Neronov, A. and Noethe, M. and Oberkirch, J. and Paravac, A. and Rhode, W. and Schleicher, B. and Schulz, F. and Sedlaczek, K. and Shukla, A. and Sliusar, V. and Walter, R. and Archer, A. and Benbow, W. and Bird, R. and Brose, Robert and Buckley, J. H. and Bugaev, V. and Christiansen, J. L. and Cui, W. and Daniel, M. K. and Falcone, A. and Feng, Q. and Finley, J. P. and Gillanders, G. H. and Gueta, O. and Hanna, D. and Hervet, O. and Holder, J. and Hughes, G. and Huetten, M. and Humensky, T. B. and Johnson, C. A. and Kaaret, P. and Kar, P. and Kelley-Hoskins, N. and Kertzman, M. and Kieda, D. and Krause, M. and Krennrich, F. and Kumar, S. and Lang, M. J. and Lin, T. T. Y. and Maier, G. and McArthur, S. and Moriarty, P. and Mukherjee, R. and Ong, R. A. and Otte, A. N. and Park, N. and Petrashyk, A. and Pichel, A. and Pohl, Martin and Quinn, J. and Ragan, K. and Reynolds, P. T. and Richards, G. T. and Roache, E. and Rovero, A. C. and Rulten, C. and Sadeh, I. and Santander, M. and Sembroski, G. H. and Shahinyan, K. and Sushch, Iurii and Tyler, J. and Wakely, S. P. and Weinstein, A. and Wells, R. M. and Wilcox, P. and Wilhel, A. and Williams, D. A. and Williamson, T. J. and Zitzer, B. and Perri, M. and Verrecchia, F. and Leto, C. and Villata, M. and Raiteri, C. M. and Jorstad, S. G. and Larionov, V. M. and Blinov, D. A. and Grishina, T. S. and Kopatskaya, E. N. and Larionova, E. G. and Nikiforova, A. A. and Morozova, D. A. and Troitskaya, Yu. V. and Troitsky, I. S. and Kurtanidze, O. M. and Nikolashvili, M. G. and Kurtanidze, S. O. and Kimeridze, G. N. and Chigladze, R. A. and Strigachev, A. and Sadun, A. C.}, title = {Extreme HBL behavior of Markarian 501 during 2012}, series = {Astronomy and astrophysics : an international weekly journal / European Southern Observatory (ESO)}, volume = {620}, journal = {Astronomy and astrophysics : an international weekly journal / European Southern Observatory (ESO)}, publisher = {EDP Sciences}, address = {Les Ulis}, organization = {MAGIC Collaboration FACT Collaboration VERITAS Collaboration}, issn = {1432-0746}, doi = {10.1051/0004-6361/201833704}, pages = {23}, year = {2018}, abstract = {Aims. We aim to characterize the multiwavelength emission from Markarian 501 (Mrk 501), quantify the energy-dependent variability, study the potential multiband correlations, and describe the temporal evolution of the broadband emission within leptonic theoretical scenarios. Methods. We organized a multiwavelength campaign to take place between March and July of 2012. Excellent temporal coverage was obtained with more than 25 instruments, including the MAGIC, FACT and VERITAS Cherenkov telescopes, the instruments on board the Swift and Fermi spacecraft, and the telescopes operated by the GASP-WEBT collaboration. Results. Mrk 501 showed a very high energy (VHE) gamma-ray flux above 0.2 TeV of similar to 0.5 times the Crab Nebula flux (CU) for most of the campaign. The highest activity occurred on 2012 June 9, when the VHE flux was similar to 3 CU, and the peak of the high-energy spectral component was found to be at similar to 2 TeV. Both the X-ray and VHE gamma-ray spectral slopes were measured to be extremely hard, with spectral indices <2 during most of the observing campaign, regardless of the X-ray and VHE flux. This study reports the hardest Mrk 501 VHE spectra measured to date. The fractional variability was found to increase with energy, with the highest variability occurring at VHE. Using the complete data set, we found correlation between the X-ray and VHE bands; however, if the June 9 flare is excluded, the correlation disappears (significance <3 sigma) despite the existence of substantial variability in the X-ray and VHE bands throughout the campaign. Conclusions. The unprecedentedly hard X-ray and VHE spectra measured imply that their low- and high-energy components peaked above 5 keV and 0.5 TeV, respectively, during a large fraction of the observing campaign, and hence that Mrk 501 behaved like an extreme high-frequency-peaked blazar (EHBL) throughout the 2012 observing season. This suggests that being an EHBL may not be a permanent characteristic of a blazar, but rather a state which may change over time. The data set acquired shows that the broadband spectral energy distribution (SED) of Mrk 501, and its transient evolution, is very complex, requiring, within the framework of synchrotron self-Compton (SSC) models, various emission regions for a satisfactory description. Nevertheless the one-zone SSC scenario can successfully describe the segments of the SED where most energy is emitted, with a significant correlation between the electron energy density and the VHE gamma-ray activity, suggesting that most of the variability may be explained by the injection of high-energy electrons. The one-zone SSC scenario used reproduces the behavior seen between the measured X-ray and VHE gamma-ray fluxes, and predicts that the correlation becomes stronger with increasing energy of the X-rays.}, language = {en} }