@article{NorrisCarvalhoJonesetal.2017,
  author    = {Norris, Jesse and Carvalho, Leila M. V. and Jones, Charles and Cannon, Forest and Bookhagen, Bodo and Palazzi, Elisa and Tahir, Adnan Ahmad},
  title     = {The spatiotemporal variability of precipitation over the Himalaya: evaluation of one-year WRF model simulation},
  series = {Climate dynamics : observational, theoretical and computational research on the climate system},
  volume    = {49},
  journal   = {Climate dynamics : observational, theoretical and computational research on the climate system},
  publisher = {Springer},
  address   = {New York},
  issn      = {0930-7575},
  doi       = {10.1007/s00382-016-3414-y},
  pages     = {2179 -- 2204},
  year      = {2017},
  abstract  = {The Weather Research and Forecasting (WRF) model is used to simulate the spatiotemporal distribution of precipitation over central Asia over the year April 2005 through March 2006. Experiments are performed at 6.7 km horizontal grid spacing, with an emphasis on winter and summer precipitation over the Himalaya. The model and the Tropical Rainfall Measuring Mission show a similar inter-seasonal cycle of precipitation, from extratropical cyclones to monsoon precipitation, with agreement also in the diurnal cycle of monsoon precipitation. In winter months, WRF compares better in timeseries of daily precipitation to stations below than above 3-km elevation, likely due to inferior measurement of snow than rain by the stations, highlighting the need for reliable snowfall measurements at high elevations in winter. In summer months, the nocturnal precipitation cycle in the foothills and valleys of the Himalaya is captured by this 6.7-km WRF simulation, while coarser simulations with convective parameterization show near zero nocturnal precipitation. In winter months, higher resolution is less important, serving only to slightly increase precipitation magnitudes due to steeper slopes. However, even in the 6.7-km simulation, afternoon precipitation is overestimated at high elevations, which can be reduced by even higher-resolution (2.2-km) simulations. These results indicate that WRF provides skillful simulations of precipitation relevant for studies of water resources over the complex terrain in the Himalaya.},
  language  = {en}
}
@phdthesis{Huang2012,
  author    = {Huang, Shaochun},
  title     = {Modelling of environmental change impacts on water resources and hydrological extremes in Germany},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-59748},
  school      = {Universit{\"a}t Potsdam},
  year      = {2012},
  abstract  = {Water resources, in terms of quantity and quality, are significantly influenced by environmental changes, especially by climate and land use changes. The main objective of the present study is to project climate change impacts on the seasonal dynamics of water fluxes, spatial changes in water balance components as well as the future flood and low flow conditions in Germany. This study is based on the modeling results of the process-based eco-hydrological model SWIM (Soil and Water Integrated Model) driven by various regional climate scenarios on one hand. On the other hand, it is supported by statistical analysis on long-term trends of observed and simulated time series. In addition, this study evaluates the impacts of potential land use changes on water quality in terms of NO3-N load in selected sub-regions of the Elbe basin. In the context of climate change, the actual evapotransipration is likely to increase in most parts of Germany, while total runoff generation may decrease in south and east regions in the scenario period 2051-2060. Water discharge in all six studied large rivers (Ems, Weser, Saale, Danube, Main and Neckar) would be 8 - 30\% lower in summer and autumn compared to the reference period (1961 - 1990), and the strongest decline is expected for the Saale, Danube and Neckar. The 50-year low flow is likely to occur more frequently in western, southern and central Germany after 2061 as suggested by more than 80\% of the model runs. The current low flow period (from August to September) may be extended until the late autumn at the end of this century. Higher winter flow is expected in all of these rivers, and the increase is most significant for the Ems (about 18\%). No general pattern of changes in flood directions can be concluded according to the results driven by different RCMs, emission scenarios and multi-realizations. An optimal agricultural land use and management are essential for the reduction in nutrient loads and improvement of water quality. In the Weiße Elster and Unstrut sub-basins (Elbe), an increase of 10\% in the winter rape area can result in 12-19\% more NO3-N load in rivers. In contrast, another energy plant, maize, has a moderate effect on the water environment. Mineral fertilizers have a much stronger effect on the NO3-N load than organic fertilizers. Cover crops, which play an important role in the reduction of nitrate losses from fields, should be maintained on cropland. The uncertainty in estimating future high flows and, in particular, extreme floods remain high due to different RCM structures, emission scenarios and multi-realizations. In contrast, the projection of low flows under warmer climate conditions appears to be more pronounced and consistent. The largest source of uncertainty related to NO3-N modelling originates from the input data on the agricultural management.},
  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}
}