Alexander Kislov

ORCID: 0000-0003-0092-0643
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About
Contact & Profiles
Research Areas
  • Climate variability and models
  • Marine and environmental studies
  • Arctic and Antarctic ice dynamics
  • Meteorological Phenomena and Simulations
  • Climate change and permafrost
  • Agricultural Productivity and Crop Improvement
  • Geological Studies and Exploration
  • Agriculture and Biological Studies
  • Geology and Paleoclimatology Research
  • Soil and Environmental Studies
  • Atmospheric and Environmental Gas Dynamics
  • Cryospheric studies and observations
  • Oceanographic and Atmospheric Processes
  • Aquatic and Environmental Studies
  • Archaeology and ancient environmental studies
  • Urban Heat Island Mitigation
  • Regional Socio-Economic Development Trends
  • Environmental Sustainability and Technology
  • Tropical and Extratropical Cyclones Research
  • Ocean Waves and Remote Sensing
  • Atmospheric Ozone and Climate
  • Atmospheric chemistry and aerosols
  • Agricultural Development and Policies
  • Tree-ring climate responses
  • Geophysics and Gravity Measurements

Lomonosov Moscow State University
2014-2023

Moscow State University
2008-2023

Russian Research Institute for Phytopathology
2021

Saint Petersburg State Electrotechnical University
2020

Roshydromet
1999-2017

Hydrometeorological Research Centre of Russian Federation
2017

Gazprom (Russia)
2017

A.M. Obukhov Institute of Atmospheric Physics
2017

Institute of Geography
1988

Amplification of the northern hemisphere seasonal cycle insolation during mid‐Holocene causes a northward shift main regions monsoon precipitation over Africa and India in all 18 simulations conducted for Paleoclimate Modeling Intercomparison Project (PMIP). Differences among are related to differences model formulation. Despite qualitative agreement with paleoecological estimates biome shifts, magnitude increases underestimated by models.

10.1029/1999gl900126 article EN Geophysical Research Letters 1999-04-01

The recurrence of extreme wind waves in the Kara Sea strongly influences Arctic climate change. period 2000–2010 is characterized by significant warming, a reduction sea ice Arctic. main motivation this research to assess impact change on storm activity over past 39 years Sea. paper presents analysis wave and based results numerical modeling. A model WAVEWATCH III used reconstruct fields for from 1979 2017. maximum height (SWH) whole amounts 9.9 m. average long-term SWH ice-free does not...

10.3390/w13050648 article EN Water 2021-02-28

The environmental conditions of the Arctic are vulnerable to effects climate change. We focus on territory Yamalo-Nenets Autonomous Okrug (YaNAO). objective this study is project mid-21st century climate-driven changes in state and natural environment YaNAO. For purpose, CMIP6 data models with change scenario SSP5-8.5 were used. Climate directly affects statistics extreme events climatically driven phenomena, such as frosts thaws, well avalanches slush flows. causes environment, primarily...

10.3390/atmos14061003 article EN cc-by Atmosphere 2023-06-09

Abstract Extreme sea storms are dangerous and a potential source of damage. In this study, we examine storm events in the Black Sea Caspian Sea, atmosphere circulation patterns associated with events, their changes present (1961–2000) future (2046–2065) climates. A calendar for climate is derived from results wave model SWAN (Simulating WAves Nearshore) experiments. On basis calendar, catalog atmospheric level pressure (SLP) fields was prepared NCEP/NCAR reanalysis dataset 1961–2000. The SLP...

10.2478/s13533-012-0150-7 article EN cc-by-nc-nd Open Geosciences 2013-12-01

Multiyear observed time series of wind speed for selected points the Arctic region (data station network from Kola Peninsula to Chukotka Peninsula) are used highlight important peculiarities extreme statistics. How largest extremes could be simulated by climate model (the INM-CM4 data Historical experiment CMIP5) is also discussed. Extreme value analysis yielded that a volume samples speeds strictly divided into two sets variables. Statistical properties one population sharply different...

10.4236/acs.2016.62018 article EN Atmospheric and Climate Sciences 2016-01-01

10.3103/s1068373911050037 article EN Russian Meteorology and Hydrology 2011-05-01

Precipitation extrema over the Barents Sea and neighbouring locations in Europe were analysed using data obtained from station observations a highly detailed ERA5 re-analysis dataset. These did not always spatially coincide (on average, coincidence was ~50%). Daily amounts of precipitation typically higher observation data, although there may be reverse picture. The analysis revealed that at several stations many grids, set extremes exists as mixture two different subsets. cumulative...

10.3390/atmos13071116 article EN cc-by Atmosphere 2022-07-15

Abstract The storm events in the Baltic Sea are examined connection with main weather patterns grouped into circulation types (CTs), and their changes present climate. A calendar of storms was derived from results wave model SWAN (Simulating WAves Nearshore) experiments for 1948-2011. Based on this calendar, a catalogue atmospheric sea level pressure (SLP) fields prepared CTs NCEP/NCAR dataset. SLP were then analyzed using pattern recognition algorithm which employed empirical orthogonal...

10.1515/geo-2015-0030 article EN cc-by-nc-nd Open Geosciences 2015-09-25

In the Arctic (mainly in its European sector) there is statistically detectable seasonal reversal wind pattern. The combination of seasonally warm (cold) land surfaces arctic areas together with cool (cool) sea surface seas not covered by ice conducive to formation a monsoon like system. On other hand, predominance cyclonic regime during all seasons makes it difficult answer question whether region belongs type this study, features atmospheric circulation over Barents and Kara Seas were...

10.4236/acs.2020.103019 article EN Atmospheric and Climate Sciences 2020-01-01

10.26794/1999-849x-2021-14-4-6-14 article EN Economics taxes & law 2021-01-01

The task of vortex boundaries setting is one the most complexes in examination factors influencing on (circulation system) development and destruction. In this study a new approach analysis as whole system proposed. It based vorticity equation where (left part equation) defined time coefficients EOF-decomposition, which integrated indexes characterizing individual dynamics. Right depicts internal external vortex. It's approbation done example an arctic-subarctic circulation including...

10.4236/acs.2017.73024 article EN Atmospheric and Climate Sciences 2017-01-01

Coastal Arctic regions are characterized by severe mesoscale weather events that include extreme wind speeds, and the rugged shore conditions, islands, mountain ranges contribute to event formation. High-resolution atmospheric modeling is a suitable tool reproduce estimate some of these events, so regional non-hydrostatic climate model COSMO-CLM (Consortium for Small-scale Modeling developed within framework international science group CLM-Community) was used circulation in coast zone under...

10.3390/atmos11101062 article EN cc-by Atmosphere 2020-10-06

Abstract. Oscillations of the level Caspian Sea (CS) primarily stem from variations in runoff Volga River. Therefore, changes CS can be used to assess ability climate models reproduce water budget over East European Plain. We compare observed or reconstructed positions during Last Glacial Maximum (LGM), Holocene and modern periods with calculated based on simulations experiments using CMIP5/PMIP3 protocol. The proxy dataset comprises a number detailed maps for main regression stages...

10.5194/cpd-8-5053-2012 article EN cc-by 2012-10-10

10.3103/s1068373916070013 article EN Russian Meteorology and Hydrology 2016-07-01
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