The Siberian Arctic is warming fast: permafrost is thawing, river chemistry is changing, and coastal ecosystems are affected. We want to understand changes to the Lena River, a major Arctic river flowing to the Arctic Ocean, by collecting 4.5 years of detailed water data, including temperature and carbon and nutrient contents. This dataset records current conditions and helps us to detect future changes. Explore it at https://doi.org/10.1594/PANGAEA.913197 and https://lena-monitoring.awi.de/.

Study of hydraulic and channel changes the Lena River near city Yakutsk was done using STREAM_2D two-dimensional hydrodynamic model (author V. Belikov et al.). Channel changes forecast has shown that degradation of the Adamovskaya branch will be continued, which is the most negative impact for the Yakutsk city. However, to the end of the 10-year forecast period the equal distribution between Adamovskaya and Buorylarskaya channels is possible.

Inundations on the Black Sea coast of the Krasnodar territory of the Russian Federation were analysed for 1945 to 2013. Risks, hazards and damage from inundations here are some of the highest in the country. The large quantity and the extremeness of rainfall, and the intense flood regimes of the rivers are the main contributors. Additionally, anthropogenic impact such as badly planned economic activities in channels, floodplains and on river watersheds strongly enhance the effects.

Our paper is one of very few studies where the influence of stochastic internal atmospheric variability (IAV) on the hydrological response is analyzed. On the basis of ensemble experiments with GCM and hydrological models, we found, e.g., that averaging over ensemble members filters the stochastic term related to IAV, and that a considerable portion of the simulated trend in annual Lena R. runoff can be explained by the externally forced signal (global SST and SIC changes in our experiments).

Results of flood modelling for three cities located in different parts of Russia: Veliky Ustyug (the Northern Dvina river); Mezhdurechensk (the Tom river) and Blagoveschensk (the Amur river) are presented. The two-dimensional hydrodynamic model STREAM_2D was used. Additional verification of the model through comparison of simulated and received from satellite images flooding zones was carried out. Analyses of embankment influence on the water flow were performed.