Geoeffectiveness and efficiency of CIR, Sheath and ICME in generation of magnetic storms

We investigate relative role of various types of solar wind streams in generation of magnetic storms. On the basis of the OMNI data of interplanetary measurements for the period of 1976-2000 we analyze 798 geomagnetic storms with Dst < -50 nT and their interplanetary sources: corotating interaction regions (CIR), interplanetary CME (ICME) including magnetic clouds (MC) and Ejecta and compression regions Sheath before both types of ICME. For various types of solar wind we study following relative characteristics: occurrence rate; mass, momentum, energy and magnetic fluxes; probability of generation of magnetic storm (geoeffectiveness) and efficiency of process of this generation. Obtained results show that despite magnetic clouds have lower occurrence rate and lower efficiency than CIR and Sheath they play an essential role in generation of magnetic storms due to higher geoeffectiveness of storm generation (i.e higher probability to contain large and long-term southward IMF Bz component).Comment: 23 pages, 4 figures, 3 tables, submitted to JGR special issue "Response of Geospace to High-Speed Streams

Recovery phase of magnetic storms induced by different interplanetary drivers

Statistical analysis of Dst behaviour during recovery phase of magnetic storms induced by different types of interplanetary drivers is made on the basis of OMNI data in period 1976-2000. We study storms induced by ICMEs (including magnetic clouds (MC) and Ejecta) and both types of compressed regions: corotating interaction regions (CIR) and Sheaths. The shortest, moderate and longest durations of recovery phase are observed in ICME-, CIR-, and Sheath-induced storms, respectively. Recovery phases of strong ($Dst_{min} < -100$ nT) magnetic storms are well approximated by hyperbolic functions $Dst(t)= a/(1+t/\tau_h)$ with constant $\tau_h$ times for all types of drivers while for moderate ($-100 < Dst_{min} < -50$ nT) storms $Dst$ profile can not be approximated by hyperbolic function with constant $\tau_h$ because hyperbolic time $\tau_h$ increases with increasing time of recovery phase. Relation between duration and value $Dst_{min}$ for storms induced by ICME and Sheath has 2 parts: $Dst_{min}$ and duration correlate at small durations while they anticorrelate at large durations.Comment: 18 pages, 4 figures, 2 tables, submitted to JGR special issue "Response of Geospace to High-Speed Streams

Comment on "Are periodic solar wind number density structures formed in the solar corona?" by N. M. Viall et al., 2009, Geophys. Res. Lett., 36, L23102, doi:10.1029/2009GL041191

Location of formation of periodic solar wind number density structures is discussed. Observation of proton and alpha anticorrelation in these structures [Viall et al., 2009] indicates that taking into account that bulk velocity of aplha-particles is higher than that of proton the place of formation for these structures should be located at distance less 0.002 AU from place of observation.Comment: 6 pages, submitted in GR

The floor in the interplanetary magnetic field: Estimation on the basis of relative duration of ICME observations in solar wind during 1976-2000

To measure the floor in interplanetary magnetic field and estimate the time- invariant open magnetic flux of Sun, it is necessary to know a part of magnetic field of Sun carried away by CMEs. In contrast with previous papers, we did not use global solar parameters: we identified different large-scale types of solar wind for 1976-2000 interval, obtained a fraction of interplanetary CMEs (ICMEs) and calculated magnitude of interplanetary magnetic field B averaged over 2 Carrington rotations. The floor of magnetic field is estimated as B value at solar cycle minimum when the ICMEs were not observed and it was calculated to be 4,65 \pm 6,0 nT. Obtained value is in a good agreement with previous results.Comment: 10 pages, 2 figures, submitted in GR

Geomorphometric analysis of river basins in east European Russia using SRTM and aster GDEM data

© 2016,International Journal of Pharmacy and Technology. All rights reserved.The spatial database of geomorphometric indices with the scale of 1:200 000 was created for the first time on the basis of a basin approach for the east of the Russian Plain European part. The basins built in a semiautomatic mode on the basis of SRTM DEM and Aster GDEM were used as OTE here. Using the abovementioned DEM the basic morphometric relief characteristics such as slope,slope length,vertical subdivision,river network density,LS factor were calculated. The mean values of these characteristics were calculated for basins. Using the vectorized map of geomorphological zoning,the belonging of basins to the geomorphological areas was determined. On the basis of the obtained geographic information database the main statistics of morphometric relief characteristics are calculated,and the results are interpreted using the existing scales and classifications. The dispersion analysis method revealed statistically significant associations for a number of characteristics with geomorphological regions. The regularities of spatial changes concerning considered geomorphometric characteristics were revealed. All studies were performed on the project Russian Science Foundation (RSF) «Geography and Geoecology of rivers and river basins of the European Russia: spatial analysis,estimation and modeling»

Geomorphometric analysis of river basins in East European Russia using SRTM and ASTER GDEM data

© Medwell Journals, 2016.The spatial database of geomorphometric indices with the scale of 1:200000 was created for the first time on the basis of a basin approach for the East of the Russian Plain European part. The basins built in a semiautomatic mode on the basis of SRTM DEM and Aster GDEM were used as OTE here. Using the abovementioned DEM the basic morphometric relief characteristics such as slope, slope length, vertical subdivision, river network density, LS factor were calculated. The mean values of these characteristics were calculated for basins. Using the vectorized map of geomorphological zoning, the belonging of basins to the was determined. On the basis of the obtained geographic information database the main statistics of morphometric relief characteristics are calculated and the results are interpreted using the existing scales and classifications. The dispersion analysis method revealed statistically significant associations for a number of characteristics with geomorphological regions. The regularities of spatial changes concerning considered geomorphometric characteristics were revealed. All studies were performed on the project Russian Science Foundation (RSF), geography and geoecology of rivers and river basins of the European Russia spatial analysis, estimation and modeling

How fast do gully headcuts retreat?

© 2016 Elsevier B.V. Gully erosion has important on and off site effects. Therefore, several studies have been conducted over the past decades to quantify gully headcut retreat (GHR) in different environments. Although these led to important site-specific and regional insights, the overall importance of this erosion process or the factors that control it at a global scale remain poorly understood. This study aims to bridge this gap by reviewing research on GHR and conducting a meta-analysis of measured GHR rates worldwide. Through an extensive literature review, GHR rates for 933 individual and actively retreating gullies have been compiled from more than 70 study areas worldwide (comprising a total measuring period of >19 600 years). Each GHR rate was measured through repeated field surveys and/or analyses of aerial photographs over a period of at least one year (maximum: 97 years, median: 17 years). The data show a very large variability, both in terms of gully dimensions (cross-sectional areas ranging between 0.11 and 816 m2 with a median of 4 m2) and volumetric GHR rates (ranging between 0.002 and 47 430 m3 year- 1 with a median of 2.2 m3 year- 1). Linear GHR rates vary between 0.01 and 135 m year- 1 (median: 0.89 m year- 1), while areal GHR rates vary between 0.01 and 3628 m2 year- 1 (median: 3.12 m2 year- 1). An empirical relationship allows estimating volumetric retreat rates from areal retreat rates with acceptable uncertainties. By means of statistical analyses for a subset of 724 gullies with a known contributing area, we explored the factors most relevant in explaining the observed 7 orders of magnitudes of variation in volumetric GHR rates. Results show that measured GHR rates are significantly correlated to the runoff contributing area of the gully (r2 = 0.15) and the rainy day normal (RDN; i.e. the long-term average annual rainfall depth divided by the average number of rainy days; r2 = 0.47). Other factors (e.g. land use or soil type) showed no significant correlation with the observed GHR rates. This may be attributed to the uncertainties associated with accurately quantifying these factors. In addition, available time series data demonstrate that GHR rates are subject to very large year-to-year variations. As a result, average GHR rates measured over short (100%) uncertainties. We integrated our findings into a weighted regression model that simulates the volumetric retreat rate of a gully headcut as a function of upstream drainage area and RDN. When weighing each GHR observation proportional to its measuring period, this model explains 68% of the observed variance in GHR rates at a global scale. For 76% of the monitored gullies, the simulated GHR values deviate less than one order of magnitude from their corresponding observed value. Our model clearly indicates that GHR rates are very sensitive to rainfall intensity. Since these intensities are expected to increase in most areas as a result of climate change, our results suggest that gully erosion worldwide will become more intense and widespread in the following decades. Finally, we discuss research topics that will help to address these challenges

Geomorphometric analysis of river basins in east European Russia using SRTM and aster GDEM data

© 2016,International Journal of Pharmacy and Technology. All rights reserved.The spatial database of geomorphometric indices with the scale of 1:200 000 was created for the first time on the basis of a basin approach for the east of the Russian Plain European part. The basins built in a semiautomatic mode on the basis of SRTM DEM and Aster GDEM were used as OTE here. Using the abovementioned DEM the basic morphometric relief characteristics such as slope,slope length,vertical subdivision,river network density,LS factor were calculated. The mean values of these characteristics were calculated for basins. Using the vectorized map of geomorphological zoning,the belonging of basins to the geomorphological areas was determined. On the basis of the obtained geographic information database the main statistics of morphometric relief characteristics are calculated,and the results are interpreted using the existing scales and classifications. The dispersion analysis method revealed statistically significant associations for a number of characteristics with geomorphological regions. The regularities of spatial changes concerning considered geomorphometric characteristics were revealed. All studies were performed on the project Russian Science Foundation (RSF) «Geography and Geoecology of rivers and river basins of the European Russia: spatial analysis,estimation and modeling»