JpGU-AGU Joint Meeting 2017

Presentation information

Print

[EJ] Oral

A (Atmospheric and Hydrospheric Sciences) » A-HW Hydrology & Water Environment

[A-HW34] [EJ] Hydrological Cycle and Water Environment

Mon. May 22, 2017 9:00 AM - 10:30 AM 301A (International Conference Hall 3F)

convener:Takeshi Hayashi(Faculty of Education and Human Studies, Akita University), Maksym Gusyev(International Centre for Water Hazard Risk Management, Public Works Research Institute), Seiya Nagao(Institute of Nature and Environmental Technology, Kanazawa University), Isao Machida(Geological Survey of Japan), Shin'ichi Iida(Department of Disaster Prevention, Meteorology and Hydrology, Forestry and Forest Products Research Institute), Chairperson:Takeshi Hayashi(Faculty of Education and Human Studies, Akita University), Chairperson:Shin'ichi Iida(Forestry and Forest Products Research Institute), Chairperson:Isao Machida(Geological Survey of Japan, AIST), Chairperson:Seiya Nagao(Institute of Nature and Environmental Technology, Kanazawa University), Chairperson:Maksym Gusyev(International Centre for Water Hazard Risk Management, Public Works Research Institute)

9:30 AM - 9:45 AM

[AHW34-03] Interannual Variability of Soil Moisture in European Russia and its Links to Regional Climate During Boreal Summer

*Igor I Zveryaev1, Alexey V Arkhipkin1 (1.Shirshov Institute of Oceanology, Moscow, Russia)

Keywords:soil moisture, European Russia, summer season, interannual variability

Soil moisture data from the GLEAM (Global Land Evaporation Amsterdam Model) dataset for 1980-2014 are used to investigate the leading modes of interannual variability of soil moisture in European Russia during summer season. An EOF (Empirical Orthogonal Functions) analysis performed on the monthly means (i.e., separately for June, July and August time series) revealed three leading modes of soil moisture variability, characterized by the monopole (EOF-1), zonal dipole (EOF-2) and meridional dipole (EOF-3) patterns. These modes explain respectively 29-35%, 11-18% and 10-13% of the total variability of soil moisture. Analysis of correlations between the leading PCs (principal components) of soil moisture and indices of regional teleconnections suggests that there are not very strong, but statistically significant links between regional soil moisture variability and the Scandinavian teleconnection, the East Atlantic – Western Russia teleconnection and the Atlantic Multidecadal Oscillation. The leading PCs capture pretty well the large soil moisture anomalies associated with regional climate extremes (such as extremely dry conditions associated with the Russian summer heat wave in 2010). An analysis of links to regional climate revealed generally consistent patterns in which positive (negative) soil moisture anomalies are linked to cyclonic (anti-cyclonic) anomalies of sea level pressure, above (below) normal precipitation and negative (positive) anomalies of air temperature.