Articles | Volume 381
https://doi.org/10.5194/piahs-381-7-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/piahs-381-7-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Post-conference publication
| 
01 Aug 2019
Post-conference publication |
| 01 Aug 2019
| 01 Aug 2019
Integrated approach to study river fluxes, water and sediment sources apportionment in sparsely monitored catchment
Department of Geography, M.V. Lomonosov Moscow State University,
Moscow 119991, Russia
Pavel Terskii
Department of Geography, M.V. Lomonosov Moscow State University,
Moscow 119991, Russia
Thomas Pluntke
Technische Universität Dresden, Chair of Meteorology, Dresden,
Germany
Ludmila Efimova
Department of Geography, M.V. Lomonosov Moscow State University,
Moscow 119991, Russia
Vasiliy Efimov
Department of Geography, M.V. Lomonosov Moscow State University,
Moscow 119991, Russia
Vladimir Belyaev
Department of Geography, M.V. Lomonosov Moscow State University,
Moscow 119991, Russia
Anna Terskaia
Department of Geography, M.V. Lomonosov Moscow State University,
Moscow 119991, Russia
Michal Habel
Institute of Geography, Kazimierz Wielki University, Bydgoszcz 85-064, Poland
Daniel Karthe
Engineering Faculty, German-Mongolian Institute for Resources and
Technology, Nalaikh, Mongolia
Christian Bernhofer
Technische Universität Dresden, Chair of Meteorology, Dresden,
Germany
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Atmos. Chem. Phys., 22, 4413–4469, https://doi.org/10.5194/acp-22-4413-2022, https://doi.org/10.5194/acp-22-4413-2022, 2022
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Judith Marie Pöschmann, Dongkyun Kim, Rico Kronenberg, and Christian Bernhofer
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Ivan Vorobevskii, Rico Kronenberg, and Christian Bernhofer
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-27, https://doi.org/10.5194/hess-2020-27, 2020
Preprint withdrawn
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Short summary
Specific fish species in the Lake Baikal, Coregonus migratorius, are spawning in the lake's tributaries, annualy migrating upstream. In the largest tributary, the Selenga river, the migration inversely depends on seasonal flow: the lower the discharge, the further upstream the fish can go. We explored the influence of climate change on the streamflow and on the subsequent fish migration distance, may result in spawning locations shift upstream, which is ecologically more favorable.
Ekaterina V. Garankina, Vladimir R. Belyaev, Fedor A. Romanenko, Maxim M. Ivanov, Natalia V. Kuzmenkova, Artem L. Gurinov, and Egor D. Tulyakov
Proc. IAHS, 381, 37–47, https://doi.org/10.5194/piahs-381-37-2019, https://doi.org/10.5194/piahs-381-37-2019, 2019
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The paper reflects the specifics of debris flow phenomena in the subarctic mountains of Russia. New data on magnitude and frequency of such processes in the past and on distribution and age of associated landforms in the Khibiny are provided. Revealed as one of the main Holocene landforming agents in the mountain valleys, debris flows show their dynamics to substantially reduce since last deglaciation, being replaced by slush flows with much less clastic content and higher eroding potential.
Sergey Chalov, Valentin Golosov, Adrian Collins, and Mike Stone
Proc. IAHS, 381, 1–1, https://doi.org/10.5194/piahs-381-1-2019, https://doi.org/10.5194/piahs-381-1-2019, 2019
Timo Vihma, Petteri Uotila, Stein Sandven, Dmitry Pozdnyakov, Alexander Makshtas, Alexander Pelyasov, Roberta Pirazzini, Finn Danielsen, Sergey Chalov, Hanna K. Lappalainen, Vladimir Ivanov, Ivan Frolov, Anna Albin, Bin Cheng, Sergey Dobrolyubov, Viktor Arkhipkin, Stanislav Myslenkov, Tuukka Petäjä, and Markku Kulmala
Atmos. Chem. Phys., 19, 1941–1970, https://doi.org/10.5194/acp-19-1941-2019, https://doi.org/10.5194/acp-19-1941-2019, 2019
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The Arctic marine climate system, ecosystems, and socio-economic systems are changing rapidly. This calls for the establishment of a marine Arctic component of the Pan-Eurasian Experiment (MA-PEEX), for which we present a plan. The program will promote international collaboration; sustainable marine meteorological, sea ice, and oceanographic observations; advanced data management; and multidisciplinary research on the marine Arctic and its interaction with the Eurasian continent.
Solomon Hailu Gebrechorkos, Stephan Hülsmann, and Christian Bernhofer
Hydrol. Earth Syst. Sci., 22, 4547–4564, https://doi.org/10.5194/hess-22-4547-2018, https://doi.org/10.5194/hess-22-4547-2018, 2018
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In Africa field-based meteorological data are scarce; therefore global data sources based on remote sensing and climate models are often used as alternatives. To assess their suitability for a large and topographically complex area in East Africa, we evaluated multiple climate data products with available ground station data at multiple timescales over 21 regions. The comprehensive evaluation resulted in identification of preferential data sources to be used for climate and hydrological studies.
Chunjing Qiu, Dan Zhu, Philippe Ciais, Bertrand Guenet, Gerhard Krinner, Shushi Peng, Mika Aurela, Christian Bernhofer, Christian Brümmer, Syndonia Bret-Harte, Housen Chu, Jiquan Chen, Ankur R. Desai, Jiří Dušek, Eugénie S. Euskirchen, Krzysztof Fortuniak, Lawrence B. Flanagan, Thomas Friborg, Mateusz Grygoruk, Sébastien Gogo, Thomas Grünwald, Birger U. Hansen, David Holl, Elyn Humphreys, Miriam Hurkuck, Gerard Kiely, Janina Klatt, Lars Kutzbach, Chloé Largeron, Fatima Laggoun-Défarge, Magnus Lund, Peter M. Lafleur, Xuefei Li, Ivan Mammarella, Lutz Merbold, Mats B. Nilsson, Janusz Olejnik, Mikaell Ottosson-Löfvenius, Walter Oechel, Frans-Jan W. Parmentier, Matthias Peichl, Norbert Pirk, Olli Peltola, Włodzimierz Pawlak, Daniel Rasse, Janne Rinne, Gaius Shaver, Hans Peter Schmid, Matteo Sottocornola, Rainer Steinbrecher, Torsten Sachs, Marek Urbaniak, Donatella Zona, and Klaudia Ziemblinska
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Northern peatlands store large amount of soil carbon and are vulnerable to climate change. We implemented peatland hydrological and carbon accumulation processes into the ORCHIDEE land surface model. The model was evaluated against EC measurements from 30 northern peatland sites. The model generally well reproduced the spatial gradient and temporal variations in GPP and NEE at these sites. Water table depth was not well predicted but had only small influence on simulated NEE.
Sergey R. Chalov, Varvara O. Bazilova, and Mikhail K. Tarasov
Proc. IAHS, 375, 19–22, https://doi.org/10.5194/piahs-375-19-2017, https://doi.org/10.5194/piahs-375-19-2017, 2017
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The Selenga River is the largest tributary of Baikal Lake, it's delta covers around 600 km2. Suspended sediment concentrations (SSC) in the Selenga river delta were modelled based on LandSat images data. The variability in suspended sediment retention during the period 1989 to 2015 was calculated. The results suggest that SSC storage in the delta is observed during high discharges, whereas export increases under lower flow conditions. The changes in seasonal patterns are explained by wetland.
Hanna K. Lappalainen, Veli-Matti Kerminen, Tuukka Petäjä, Theo Kurten, Aleksander Baklanov, Anatoly Shvidenko, Jaana Bäck, Timo Vihma, Pavel Alekseychik, Meinrat O. Andreae, Stephen R. Arnold, Mikhail Arshinov, Eija Asmi, Boris Belan, Leonid Bobylev, Sergey Chalov, Yafang Cheng, Natalia Chubarova, Gerrit de Leeuw, Aijun Ding, Sergey Dobrolyubov, Sergei Dubtsov, Egor Dyukarev, Nikolai Elansky, Kostas Eleftheriadis, Igor Esau, Nikolay Filatov, Mikhail Flint, Congbin Fu, Olga Glezer, Aleksander Gliko, Martin Heimann, Albert A. M. Holtslag, Urmas Hõrrak, Juha Janhunen, Sirkku Juhola, Leena Järvi, Heikki Järvinen, Anna Kanukhina, Pavel Konstantinov, Vladimir Kotlyakov, Antti-Jussi Kieloaho, Alexander S. Komarov, Joni Kujansuu, Ilmo Kukkonen, Ella-Maria Duplissy, Ari Laaksonen, Tuomas Laurila, Heikki Lihavainen, Alexander Lisitzin, Alexsander Mahura, Alexander Makshtas, Evgeny Mareev, Stephany Mazon, Dmitry Matishov, Vladimir Melnikov, Eugene Mikhailov, Dmitri Moisseev, Robert Nigmatulin, Steffen M. Noe, Anne Ojala, Mari Pihlatie, Olga Popovicheva, Jukka Pumpanen, Tatjana Regerand, Irina Repina, Aleksei Shcherbinin, Vladimir Shevchenko, Mikko Sipilä, Andrey Skorokhod, Dominick V. Spracklen, Hang Su, Dmitry A. Subetto, Junying Sun, Arkady Y. Terzhevik, Yuri Timofeyev, Yuliya Troitskaya, Veli-Pekka Tynkkynen, Viacheslav I. Kharuk, Nina Zaytseva, Jiahua Zhang, Yrjö Viisanen, Timo Vesala, Pertti Hari, Hans Christen Hansson, Gennady G. Matvienko, Nikolai S. Kasimov, Huadong Guo, Valery Bondur, Sergej Zilitinkevich, and Markku Kulmala
Atmos. Chem. Phys., 16, 14421–14461, https://doi.org/10.5194/acp-16-14421-2016, https://doi.org/10.5194/acp-16-14421-2016, 2016
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After kick off in 2012, the Pan-Eurasian Experiment (PEEX) program has expanded fast and today the multi-disciplinary research community covers ca. 80 institutes and a network of ca. 500 scientists from Europe, Russia, and China. Here we introduce scientific topics relevant in this context. This is one of the first multi-disciplinary overviews crossing scientific boundaries, from atmospheric sciences to socio-economics and social sciences.
X. Wu, N. Vuichard, P. Ciais, N. Viovy, N. de Noblet-Ducoudré, X. Wang, V. Magliulo, M. Wattenbach, L. Vitale, P. Di Tommasi, E. J. Moors, W. Jans, J. Elbers, E. Ceschia, T. Tallec, C. Bernhofer, T. Grünwald, C. Moureaux, T. Manise, A. Ligne, P. Cellier, B. Loubet, E. Larmanou, and D. Ripoche
Geosci. Model Dev., 9, 857–873, https://doi.org/10.5194/gmd-9-857-2016, https://doi.org/10.5194/gmd-9-857-2016, 2016
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The response of crops to changing climate and atmospheric CO2 could have large effects on food production, terrestrial carbon, water, energy fluxes and the climate feedbacks. We developed a new process-oriented terrestrial biogeochemical model named ORCHIDEE-CROP (v0), which integrates a generic crop phenology and harvest module into the land surface model ORCHIDEE. Our model has good ability to capture the spatial gradients of crop phenology, carbon and energy-related variables across Europe.
F. Richter, C. Döring, M. Jansen, O. Panferov, U. Spank, and C. Bernhofer
Hydrol. Earth Syst. Sci., 19, 3457–3474, https://doi.org/10.5194/hess-19-3457-2015, https://doi.org/10.5194/hess-19-3457-2015, 2015
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Predicting hydrological effects of land use change, e.g. enhanced cultivation of short rotation coppices, requires an adequate parameterisation. Measurements and modelling results show that leaf area index, stomatal resistance and in particular start and length of growing season are most sensitive to soil hydrological quantities, like ground water recharge (GWR). Only simulations over 30 years, reflecting long-term climate variability, show even zero GWR, especially in succeeding dry years.
M. Renner, K. Brust, K. Schwärzel, M. Volk, and C. Bernhofer
Hydrol. Earth Syst. Sci., 18, 389–405, https://doi.org/10.5194/hess-18-389-2014, https://doi.org/10.5194/hess-18-389-2014, 2014
D. Lisniak, J. Franke, and C. Bernhofer
Hydrol. Earth Syst. Sci., 17, 2487–2500, https://doi.org/10.5194/hess-17-2487-2013, https://doi.org/10.5194/hess-17-2487-2013, 2013
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