Evgenii Churiulin (Dr. rer. nat.)

Alumni

Churiulin, E., Kopeikin, V., Übel, M., Helmert, J., Bettems, J.-M., & Tölle, M. (2021). Improving the stomatal resistance, photosynthesis and two big leaf algorithms for grass in the regional climate model COSMO-CLM. https://doi.org/10.5194/bg-2021-294
Tölle, M., & Churiulin, E. (2021). Sensitivity of Convection-Permitting Regional Climate Simulations to Changes in Land Cover Input Data: Role of Land Surface Characteristics for Temperature and Climate Extremes. Frontiers in Earth Science, 9, 722244. https://doi.org/10.3389/feart.2021.722244

Rozinkina, I., Astachova, E., Tsvetkov, V., Alferov, Y., Kopeykin, V., Nikitin, A., Ponomareva, T., Churiulin, E., & Vaskova, D. (2019). Development of deterministic and ensemble numerical weather prediction systems based on the global spectral atmospheric model of the Hydrometcentre of Russia in 2009 – 2019. Hydrometeorological Research and Forecasting, 374(4), 54 – 76. https://doi.org/10.37162/2618-9631-2019-4-54-76
Churiulin, E., & Zhdanova, E. (2019). Spatial and temporal variability of snow cover characteristics in Moscow region in recent decades (2000 – 2018). Proceedings of the Russian state hydrometeorological university, 55, 43 – 58. https://doi.org/0.33933/2074-2762-2019-55-43-58
Rivin, G., Rozinkina, I., Astachova, E., Blinov, D., Bundel, A., Kirsanov, A., Satunova, M., Chubarova, N., Alferov, Y., Varentsov, M., Zakharchenko, D., Kopeykin, V., Nikitin, A., Poliukhov, A., Revokatova, A., Tatarinovich, E., & Churiulin, E. (2019). COSMO-Ru high-resolution short-range numerical weather prediction system: its development and applications. Hydrometeorological Research and Forecasting, 374(4), 37–53.
Churiulin, E., Krylenko, I., Frolova, N., Belyaev, B., & Rozinkina, I. (2019). Flood estimation for the Sukhona River based on the joint use of ECOMAG and COSMO-Ru models. Hydrometeorological Research and Forecasting, 371(1), 6–24.

Churiulin, E., Kopeykin, V., Rozinkina, I., Frolova, N., & Churiulina, A. (2018). Analysis of snow cover characteristics by satellite and model data for different catchment areas are located on the territory of the Russian Federation. Hydrometeorological Research and Forecasting, 368(2), 120–143.