<?xml version="1.0" encoding="utf-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns="http://purl.org/rss/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel rdf:about="http://www.ann-geophys.net/xml/rss1_0.xml"><title>ANGEO - Latest Articles</title><link>http://www.ann-geophys.net/</link><description>Annales Geophysicae Latest Articles</description><items><rdf:Seq><rdf:li resource="http://www.ann-geophys.net/28/1615/2010/" /><rdf:li resource="http://www.ann-geophys.net/28/1589/2010/" /><rdf:li resource="http://www.ann-geophys.net/28/1581/2010/" /><rdf:li resource="http://www.ann-geophys.net/28/1571/2010/" /><rdf:li resource="http://www.ann-geophys.net/28/1559/2010/" /><rdf:li resource="http://www.ann-geophys.net/28/1553/2010/" /><rdf:li resource="http://www.ann-geophys.net/28/1539/2010/" /><rdf:li resource="http://www.ann-geophys.net/28/1533/2010/" /><rdf:li resource="http://www.ann-geophys.net/28/1523/2010/" /><rdf:li resource="http://www.ann-geophys.net/28/1511/2010/" /><rdf:li resource="http://www.ann-geophys.net/28/1499/2010/" /><rdf:li resource="http://www.ann-geophys.net/28/1483/2010/" /><rdf:li resource="http://www.ann-geophys.net/28/1475/2010/" /><rdf:li resource="http://www.ann-geophys.net/28/1467/2010/" /><rdf:li resource="http://www.ann-geophys.net/28/1463/2010/" /><rdf:li resource="http://www.ann-geophys.net/28/1449/2010/" /><rdf:li resource="http://www.ann-geophys.net/28/1441/2010/" /><rdf:li resource="http://www.ann-geophys.net/28/1431/2010/" /><rdf:li resource="http://www.ann-geophys.net/28/1419/2010/" /><rdf:li resource="http://www.ann-geophys.net/28/1409/2010/" /></rdf:Seq></items></channel><item rdf:about="http://www.ann-geophys.net/28/1615/2010/"><title>Estimating the seismotelluric current required for observable electromagnetic ground signals</title><link>http://www.ann-geophys.net/28/1615/2010/</link><description>&lt;b&gt;Estimating the seismotelluric current required for observable electromagnetic ground signals&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Annales Geophysicae, 28, 1615-1624, 2010&lt;br /&gt;&lt;br /&gt;Author(s): J. Bortnik, T. E. Bleier, C. Dunson, and F. Freund&lt;br /&gt;&lt;br /&gt;We use a relatively simple model of an underground current source co-located
with the earthquake hypocenter to estimate the magnitude of the
seismotelluric current required to produce observable ground signatures. The
Alum Rock earthquake of 31 October 2007, is used as an archetype of a
typical California earthquake, and the effects of varying the ground
conductivity and length of the current element are examined. Results show
that for an observed 30 nT pulse at 1 Hz, the expected seismotelluric current
magnitudes fall in the range ~10–100 kA. By setting the detectability
threshold to 1 pT, we show that even when large values of ground conductivity
are assumed, magnetic signals are readily detectable within a range of 30 km
from the epicenter. When typical values of ground conductivity are assumed,
the minimum current required to produce an observable signal within a 30 km
range was found to be ~1 kA, which is a surprisingly low value.
Furthermore, we show that deep nulls in the signal power develop in the
non-cardinal directions relative to the orientation of the source current,
indicating that a magnetometer station located in those regions may not
observe a signal even though it is well within the detectable range. This
result underscores the importance of using a network of magnetometers when
searching for preseismic electromagnetic signals.</description><dc:date>2010-08-31T00:00:00+02:00</dc:date></item><item rdf:about="http://www.ann-geophys.net/28/1589/2010/"><title>Numerical considerations in simulating the global magnetosphere</title><link>http://www.ann-geophys.net/28/1589/2010/</link><description>&lt;b&gt;Numerical considerations in simulating the global magnetosphere&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Annales Geophysicae, 28, 1589-1614, 2010&lt;br /&gt;&lt;br /&gt;Author(s): A. J. Ridley, T. I. Gombosi, I. V. Sokolov, G. Tóth, and D. T. Welling&lt;br /&gt;&lt;br /&gt;Magnetohydrodynamic (MHD) models of the global magnetosphere are very
good research tools for investigating the topology and dynamics of the
near-Earth space environment.  While these models have obvious
limitations in regions that are not well described by the MHD
equations, they can typically be used (or are used) to investigate the
majority of magnetosphere.  Often, a secondary consideration is
overlooked by researchers when utilizing global models – the effects
of solving the MHD equations on a grid, instead of analytically.  Any
discretization unavoidably introduces numerical artifacts that affect
the solution to various degrees.  This paper investigates some of the
consequences of the numerical schemes and grids that are used to solve
the MHD equations in the global magnetosphere.  Specifically, the
University of Michigan's MHD code is used to investigate the role of
grid resolution, numerical schemes, limiters, inner magnetospheric
density boundary conditions, and the artificial lowering of the speed
of light on the strength of the ionospheric cross polar cap potential
and the build up of the ring current in the inner magnetosphere.  It
is concluded that even with a very good solver and the highest
affordable grid resolution, the inner magnetosphere is not grid
converged.  Artificially reducing the speed of light reduces the
numerical diffusion that helps to achieve better agreement with data.
It is further concluded that many numerical effects work nonlinearly
to complicate the interpretation of the physics within the
magnetosphere, and so simulation results should be scrutinized very
carefully before a physical interpretation of the results is made.
Our conclusions are not limited to the Michigan MHD code, but apply to
all MHD models due to the limitations of computational resources.</description><dc:date>2010-08-27T00:00:00+02:00</dc:date></item><item rdf:about="http://www.ann-geophys.net/28/1581/2010/"><title>How do fits of simulated magnetic clouds correspond to their real shapes in 3-D?</title><link>http://www.ann-geophys.net/28/1581/2010/</link><description>&lt;b&gt;How do fits of simulated magnetic clouds correspond to their real shapes in 3-D?&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Annales Geophysicae, 28, 1581-1588, 2010&lt;br /&gt;&lt;br /&gt;Author(s): M. Vandas, E. Romashets, and A. Geranios&lt;br /&gt;&lt;br /&gt;Magnetic clouds are important objects for space weather forecasters
due to
their impact on the Earth's magnetosphere and their consequences during
geomagnetic storms.
Being considered as cylindrical or toroidal flux ropes, their size, velocity,
magnetic field strength, and axis orientation determine its impact
on Earth. Above mentioned parameters are usually extracted from
model fits using measurements from one-spacecraft crossings of these
structures.
In order to relate solar events with these spacecraft observations,
the parameters are then compared to situation at the Sun
around a most probable source region with a goal to correlate them
with near-Sun observed quantities for prediction purposes.
In the past
we performed three-dimensional simulations of magnetic cloud propagation
in the inner heliosphere. Simulated spacecraft measurements are
fitted by models of magnetic clouds and resulting parameters are
compared with real shapes of magnetic clouds which can be directly
obtained from our simulations. The comparison shows that cloud parameters
are determined quite reliably for spacecraft crossings near the cloud axis.</description><dc:date>2010-08-26T00:00:00+02:00</dc:date></item><item rdf:about="http://www.ann-geophys.net/28/1571/2010/"><title>Accuracy analysis of the GPS instrumental bias estimated from observations in middle and low latitudes</title><link>http://www.ann-geophys.net/28/1571/2010/</link><description>&lt;b&gt;Accuracy analysis of the GPS instrumental bias estimated from observations in middle and low latitudes&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Annales Geophysicae, 28, 1571-1580, 2010&lt;br /&gt;&lt;br /&gt;Author(s): D. H. Zhang, W. Zhang, Q. Li, L. Q. Shi, Y. Q. Hao, and Z. Xiao&lt;br /&gt;&lt;br /&gt;With one bias estimation method, the latitude-related error distribution of
instrumental biases estimated from the GPS observations in Chinese middle and
low latitude region in 2004 is analyzed statistically. It is found that the
error of GPS instrumental biases estimated under the assumption of a quiet
ionosphere has an increasing tendency with the latitude decreasing. Besides
the asymmetrical distribution of the plasmaspheric electron content, the
obvious spatial gradient of the ionospheric total electron content (TEC)
along the meridional line that related to the Equatorial Ionospheric Anomaly
(EIA) is also considered to be responsible for this error increasing. The RMS
of satellite instrumental biases estimated from mid-latitude GPS observations
in 2004 is around 1 TECU (1 TECU = 10&lt;sup&gt;16&lt;/sup&gt;/m&lt;sup&gt;2&lt;/sup&gt;), and the RMS of the
receiver's is around 2 TECU. Nevertheless, the RMS of satellite instrumental
biases estimated from GPS observations near the EIA region is around 2 TECU,
and the RMS of the receiver's is around 3–4 TECU. The results demonstrate
that the accuracy of the instrumental bias estimated using ionospheric
condition is related to the receiver's latitude with which ionosphere behaves
a little differently. For the study of ionospheric morphology using the TEC
derived from GPS data, in particular for the study of the weak ionospheric
disturbance during some special geo-related natural hazards, such as the
earthquake and severe meteorological disasters, the difference in the TEC
accuracy over different latitude regions should be paid much attention.</description><dc:date>2010-08-25T00:00:00+02:00</dc:date></item><item rdf:about="http://www.ann-geophys.net/28/1559/2010/"><title>IMF dependence of Saturn's auroras: modelling study of HST and Cassini data from 12–15 February 2008</title><link>http://www.ann-geophys.net/28/1559/2010/</link><description>&lt;b&gt;IMF dependence of Saturn's auroras: modelling study of HST and Cassini data from 12–15 February 2008&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Annales Geophysicae, 28, 1559-1570, 2010&lt;br /&gt;&lt;br /&gt;Author(s): E. S. Belenkaya, I. I. Alexeev, M. S. Blokhina, E. J. Bunce, S. W. H. Cowley, J. D. Nichols, V. V. Kalegaev, V. G. Petrov, and G. Provan&lt;br /&gt;&lt;br /&gt;To gain better understanding of auroral processes in
Saturn's magnetosphere, we compare ultraviolet (UV) auroral images obtained
by the Hubble Space Telescope (HST) with the position of the open-closed
field line boundary in the ionosphere calculated using a magnetic field
model that employs Cassini measurements of the interplanetary magnetic field
(IMF) as input. Following earlier related studies of pre-orbit insertion
data from January 2004 when Cassini was located ~ 1300 Saturn radii
away from the planet, here we investigate the interval 12–15 February
2008, when UV images of Saturn's southern dayside aurora were obtained by
the HST while the Cassini spacecraft measured the IMF in the solar wind just
upstream of the dayside bow shock. This configuration thus provides an
opportunity, unique to date, to determine the IMF impinging on Saturn's
magnetosphere during imaging observations, without the need to take account
of extended and uncertain interplanetary propagation delays. The paraboloid
model of Saturn's magnetosphere is then employed to calculate the
magnetospheric magnetic field structure and ionospheric open-closed field
line boundary for averaged IMF vectors that correspond, with appropriate
response delays, to four HST images. We show that the IMF-dependent open
field region calculated from the model agrees reasonably well with the area
lying poleward of the UV emissions, thus supporting the view that the
poleward boundary of Saturn's auroral oval in the dayside ionosphere lies
adjacent to the open-closed field line boundary.</description><dc:date>2010-08-19T00:00:00+02:00</dc:date></item><item rdf:about="http://www.ann-geophys.net/28/1553/2010/"><title>Retrieval of dust aerosols during night: improved assessment of long wave dust radiative forcing over Afro-Asian regions</title><link>http://www.ann-geophys.net/28/1553/2010/</link><description>&lt;b&gt;Retrieval of dust aerosols during night: improved assessment of long wave dust radiative forcing over Afro-Asian regions&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Annales Geophysicae, 28, 1553-1557, 2010&lt;br /&gt;&lt;br /&gt;Author(s): S. Deepshikha and J. Srinivasan&lt;br /&gt;&lt;br /&gt;Several investigators in the past have used the radiance
depression (with respect to clear-sky infrared radiance), resulting from the
presence of mineral dust aerosols in the atmosphere, as an index of dust
aerosol load in the atmosphere during local noon. Here, we have used a
modified approach to retrieve dust index during night since assessment of
diurnal average infrared dust forcing essentially requires information on
dust aerosols during night. For this purpose, we used infrared radiance
(10.5–12.5 μm), acquired from the METEOSAT-5 satellite (~ 5 km
resolution). We found that the &quot;dust index&quot; algorithm, valid for daytime,
will no longer hold during the night because dust is then hotter than the
theoretical dust-free reference. Hence we followed a &quot;minimum reference&quot;
approach instead of a conventional &quot;maximum reference&quot; approach. A detailed
analysis suggests that the maximum dust load occurs during the daytime. Over
the desert regions of India and Africa, maximum change in dust load is as
much as a factor of four between day and night and factor of two variations
are commonly observed. By realizing the consequent impact on long wave dust
forcing, sensitivity studies were carried out, which indicate that utilizing
day time data for estimating the diurnally averaged long-wave dust radiative
forcing results in significant errors (as much as 50 to 70%). Annually
and regionally averaged long wave dust radiative forcing (which account for
the diurnal variation of dust) at the top of the atmosphere over Afro-Asian
region is 2.6 ± 1.8 W m&lt;sup&gt;−2&lt;/sup&gt;, which is 30 to 50% lower than those
reported earlier. Our studies indicate that neglecting diurnal variation of
dust while assessing its radiative impact leads to an overestimation of dust
radiative forcing, which in turn result in underestimation of the radiative
impact of anthropogenic aerosols.</description><dc:date>2010-08-18T00:00:00+02:00</dc:date></item><item rdf:about="http://www.ann-geophys.net/28/1539/2010/"><title>Selection effects in identifying magnetic clouds and the importance of the closest approach parameter</title><link>http://www.ann-geophys.net/28/1539/2010/</link><description>&lt;b&gt;Selection effects in identifying magnetic clouds and the importance of the closest approach parameter&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Annales Geophysicae, 28, 1539-1552, 2010&lt;br /&gt;&lt;br /&gt;Author(s): R. P. Lepping and C.-C. Wu&lt;br /&gt;&lt;br /&gt;This study is motivated by the unusually low number of magnetic clouds (MCs)
that are strictly identified within interplanetary coronal mass ejections (ICMEs),
as observed at 1 AU; this is usually estimated to be around 30% or lower.
But a looser definition of MCs may significantly increase this percentage.
Another motivation is the unexpected shape of the occurrence distribution of
the observers' &quot;closest approach distances&quot; (measured from a MC's axis,
and called CA) which drops off somewhat rapidly as |CA| (in
% of MC radius) approaches 100%, based on earlier studies. We suggest,
for various geometrical and physical reasons, that the |CA|-distribution
should be somewhere between a uniform one and the one
actually observed, and therefore the 30% estimate should be higher. So we
ask, When there is a failure to identify a MC within an ICME, is it
occasionally due to a large |CA| passage, making MC
identification more difficult, i.e., is it due to an event selection effect? In attempting to
answer this question we examine WIND data to obtain an accurate distribution
of the number of MCs vs. |CA| distance, whether the event is
ICME-related or not, where initially a large number of cases (&lt;I&gt;N&lt;/I&gt;=98) are
considered. This gives a frequence distribution that is far from uniform,
confirming earlier studies. This along with the fact that there are many
ICME identification-parameters that do not depend on |CA|
suggest that, indeed an &lt;I&gt;MC event selection effect&lt;/I&gt; may explain at least part of the low ratio of
(No. MCs)/(No. ICMEs). We also show that there is an acceptable geometrical
and physical consistency in the relationships for both average
&quot;normalized&quot; magnetic field intensity change and field direction change
vs. |CA| within a MC, suggesting that our estimates of |CA|,
&lt;I&gt;B&lt;sub&gt;O&lt;/sub&gt;&lt;/I&gt; (magnetic field intensity on the axis), and choice of a
proper &quot;cloud coordinate&quot; system (all needed in the analysis) are
acceptably accurate. Therefore, the MC fitting model (Lepping et al., 1990)
is adequate, on average, for our analysis. However, this selection effect is
not likely to completely answer our original question, on the unexpected
ratio of MCs to ICMEs, so we must look for other factors, such as
peculiarities of CME birth conditions. As a by-product of this analysis, we
determine that the first order structural effects within a MC due to its
interaction with the solar wind, plus the MC's usual expansion at 1 AU
(i.e., the non-force free components of the MC's field) are, on average,
weakly dependent on radial distance from the MC's axis; that is, in the
outer reaches of a typical MC the non-force free effects show up, but even
there they are rather weak. Finally, we show that it is not likely that a
MC's size distribution statistically controls the occurrence distribution of the
estimated |CA|s.</description><dc:date>2010-08-18T00:00:00+02:00</dc:date></item><item rdf:about="http://www.ann-geophys.net/28/1533/2010/"><title>Giant disturbance in the ionospheric F2 region prior to the &lt;i&gt;M&lt;/i&gt;8.0 Wenchuan earthquake on 12 May 2008</title><link>http://www.ann-geophys.net/28/1533/2010/</link><description>&lt;b&gt;Giant disturbance in the ionospheric F2 region prior to the &lt;i&gt;M&lt;/i&gt;8.0 Wenchuan earthquake on 12 May 2008&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Annales Geophysicae, 28, 1533-1538, 2010&lt;br /&gt;&lt;br /&gt;Author(s): T. Xu, Y. Hu, J. Wu, Z. Wu, Y. Suo, and J. Feng&lt;br /&gt;&lt;br /&gt;On 12 May 2008 at 14:28 LT great earthquake (&lt;i&gt;M&lt;/i&gt;=8.0) occurred at Wenchuan
(31.00° N, 103.40° E), China. The hourly values of
&lt;i&gt;fo&lt;/i&gt;F2 are analyzed over ten ionospheric observatories: Haikou
(20.00° N, 110.33° E), Kunming (25.00° N, 102.70° E), Guangzhou (20.00° N,
113.70° E), Chongqing (29.50° N, 106.40° E), Lhasa (29.63° N, 91.17° E), Lanzhou
(36.07° N, 103.87° E), Beijing (40.00° N, 116.30° E), Urumqi (43.75° N, 87.63° E),
Chuangchun (43.83° N, 125.30° E) and Manzhouli
(49.60° N, 117.45° E). With a new factor, effective
sunspot number &lt;i&gt;R&lt;/i&gt;&lt;sub&gt;eff&lt;/sub&gt;, the results show that there were giant positive
disturbances of &lt;i&gt;fo&lt;/i&gt;F2 around the epicentral zone on 9 May, 3 days prior to
the earthquake. Our results indicate that the observed positive ionospheric
disturbances were most possibly associated with the imminent earthquake and
the new analytic method has good prospects in practice.</description><dc:date>2010-08-13T00:00:00+02:00</dc:date></item><item rdf:about="http://www.ann-geophys.net/28/1523/2010/"><title>Thin current sheets caused by plasma flow gradients in space and astrophysical plasma</title><link>http://www.ann-geophys.net/28/1523/2010/</link><description>&lt;b&gt;Thin current sheets caused by plasma flow gradients in space and astrophysical plasma&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Annales Geophysicae, 28, 1523-1532, 2010&lt;br /&gt;&lt;br /&gt;Author(s): D. H. Nickeler and T. Wiegelmann&lt;br /&gt;&lt;br /&gt;Strong gradients in plasma flows play a major role in space and astrophysical plasmas.
A typical situation is that a static plasma equilibrium is surrounded by a
plasma flow, which can lead to strong plasma flow gradients at the separatrices
between field lines with different magnetic topologies, e.g.,
planetary magnetospheres, helmet streamers in the solar corona,
or at the boundary between the heliosphere
and interstellar medium. Within this work we make a first step to understand
the influence of these flows towards the occurrence of current sheets in a
stationary state situation. We concentrate here on incompressible
plasma flows and 2-D equilibria, which allow us to find analytic solutions
of the stationary magnetohydrodynamics equations (SMHD).
First we solve
the magnetohydrostatic (MHS) equations with the help of a
Grad-Shafranov equation and then we transform these static equilibria into
a stationary state with plasma flow. We are in particular interested
to study SMHD-equilibria with strong plasma flow gradients
perpendicular to separatrices.
We find that induced thin current sheets occur naturally in
such situations. The strength of the induced currents
depend on the Alfvén Mach number and its gradient, and on the magnetic
field.</description><dc:date>2010-08-13T00:00:00+02:00</dc:date></item><item rdf:about="http://www.ann-geophys.net/28/1511/2010/"><title>Magnetic field structure of large-scale plasmoid generated by the fast reconnection mechanism in a sheared current sheet</title><link>http://www.ann-geophys.net/28/1511/2010/</link><description>&lt;b&gt;Magnetic field structure of large-scale plasmoid generated by the fast reconnection mechanism in a sheared current sheet&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Annales Geophysicae, 28, 1511-1521, 2010&lt;br /&gt;&lt;br /&gt;Author(s): M. Ugai&lt;br /&gt;&lt;br /&gt;On the basis of the spontaneous fast reconnection
model, three-dimensional magnetic field profiles
associated with a large-scale plasmoid propagating along the
antiparallel magnetic fields are studied in the
general sheared current sheet system. The plasmoid is generated
ahead of the fast reconnection jet as a
result of distinct compression of the magnetized plasma. Inside
the plasmoid, the sheared (east-west) field component has the
peak value at the plasmoid center located at &lt;I&gt;x&lt;/I&gt;=&lt;/I&gt;X&lt;/I&gt;&lt;sub&gt;C&lt;/sub&gt;, where the
north-south field component changes its sign. The plasmoid center
corresponds to the so-called contact discontinuity that bounds the
reconnected field lines in &lt;I&gt;x&lt;/I&gt;&amp;lt;&lt;I&gt;X&lt;/I&gt;&lt;sub&gt;C&lt;/sub&gt; and the field lines without
reconnection in &lt;I&gt;x&lt;/I&gt;&amp;gt;&lt;I&gt;X&lt;/I&gt;&lt;sub&gt;C&lt;/sub&gt;. Hence, contray
to the conventional prediction,
the reconnected sheared field lines in &lt;I&gt;x&lt;/I&gt;&amp;lt;&lt;I&gt;X&lt;/I&gt;&lt;sub&gt;C&lt;/sub&gt; are not spiral
or helical, since they cannot be topologically connected
to the field lines in &lt;I&gt;x&lt;/I&gt;&amp;gt;&lt;I&gt;X&lt;/I&gt;&lt;sub&gt;C&lt;/sub&gt;. It is demonstrated that the
resulting profiles of magnetic field components inside the
plasmoid are, in principle, consistent with
satellite observations. In the ambient magnetic field region
outside the plasmoid too, the magnetic field profiles are
in good agreement with the well-known observations of
traveling compression regions (TCRs).</description><dc:date>2010-08-11T00:00:00+02:00</dc:date></item><item rdf:about="http://www.ann-geophys.net/28/1499/2010/"><title>Intermediate-&lt;I&gt;m&lt;/I&gt; ULF waves generated by substorm injection: a case study</title><link>http://www.ann-geophys.net/28/1499/2010/</link><description>&lt;b&gt;Intermediate-&lt;I&gt;m&lt;/I&gt; ULF waves generated by substorm injection: a case study&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Annales Geophysicae, 28, 1499-1509, 2010&lt;br /&gt;&lt;br /&gt;Author(s): T. K. Yeoman, D. Yu. Klimushkin, and P. N. Mager&lt;br /&gt;&lt;br /&gt;A case study of SuperDARN observations of Pc5 Alfvén ULF wave activity
generated in the immediate aftermath of a modest-intensity substorm expansion
phase onset is presented. Observations from the Hankasalmi radar reveal that
the wave had a period of 580 s and was characterized by an intermediate
azimuthal wave number (&lt;I&gt;m&lt;/I&gt;=13), with an eastwards phase propagation. It had a
significant poloidal component and a rapid equatorward phase propagation
(~62° per degree of latitude). The total equatorward phase
variation over the wave signatures visible in the radar field-of-view
exceeded the 180° associated with field line resonances. The wave
activity is interpreted as being stimulated by recently-injected energetic
particles. Specifically the wave is thought to arise from an eastward
drifting cloud of energetic electrons in a similar fashion to recent
theoretical suggestions (Mager and Klimushkin, 2008; Zolotukhina
et al., 2008; Mager et al., 2009). The
azimuthal wave number &lt;I&gt;m&lt;/I&gt; is determined by the wave eigenfrequency and the
drift velocity of the source particle population. To create such an
intermediate-&lt;I&gt;m&lt;/I&gt; wave, the injected particles must have rather high energies
for a given L-shell, in comparison to previous observations of wave
events with equatorward polarization. The wave period is somewhat longer than
previous observations of equatorward-propagating events. This may well be a
consequence of the wave occurring very shortly after the substorm expansion,
on stretched near-midnight field lines characterised by longer
eigenfrequencies than those involved in previous observations.</description><dc:date>2010-08-05T00:00:00+02:00</dc:date></item><item rdf:about="http://www.ann-geophys.net/28/1483/2010/"><title>Spectral characteristics of protons in the Earth's plasmasheet: statistical results from Cluster CIS and RAPID</title><link>http://www.ann-geophys.net/28/1483/2010/</link><description>&lt;b&gt;Spectral characteristics of protons in the Earth's plasmasheet: statistical results from Cluster CIS and RAPID&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Annales Geophysicae, 28, 1483-1498, 2010&lt;br /&gt;&lt;br /&gt;Author(s): S. Haaland, E. A. Kronberg, P. W. Daly, M. Fränz, L. Degener, E. Georgescu, and I. Dandouras&lt;br /&gt;&lt;br /&gt;We present a study of the spectral characteristics of
protons in the Earth's plasma sheet for various geomagnetic disturbance levels. The study is
based on about 5400 h of data combined from the Cluster RAPID and CIS
instruments obtained during the tail season (July–October). The overall proton spectral shape
is generally that of a κ distribution, that is, resembling a Maxwellian at lower energies
which smoothly merges into a power-law tail at higher energies.
The actual spectral long-term slope depends on various magnetospheric driver parameters,
but is on average around 3.5–4. During disturbed conditions, such as geomagnetic storm
or substorm periods, a shift in the characteristic energy is observed. For two individual storms,
we also found a hardening of the spectra.
Unlike the electron spectra, we do not see any significant local time dependence in the spectral slope,
but we find higher average ion fluxes in the dusk side.
We also do not find any direct response in the energy spectra to changes in the interplanetary
magnetic field or solar wind dynamic pressure. This suggests that energization of
the ions are mainly due to internal processes in the plasma sheet.</description><dc:date>2010-08-05T00:00:00+02:00</dc:date></item><item rdf:about="http://www.ann-geophys.net/28/1475/2010/"><title>Turbulence for different background conditions using fuzzy logic and clustering</title><link>http://www.ann-geophys.net/28/1475/2010/</link><description>&lt;b&gt;Turbulence for different background conditions using fuzzy logic and clustering&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Annales Geophysicae, 28, 1475-1481, 2010&lt;br /&gt;&lt;br /&gt;Author(s): K. Satheesan and S. Kirkwood&lt;br /&gt;&lt;br /&gt;Wind and turbulence estimated from MST radar observations in Kiruna, in
Arctic Sweden are used to characterize turbulence in the free troposphere
using data clustering and fuzzy logic. The root mean square velocity,
&amp;nu;&lt;sub&gt;fca&lt;/sub&gt;, a diagnostic of turbulence is clustered in terms of hourly
wind speed, direction, vertical wind speed, and altitude of the radar
observations, which are the predictors. The predictors are graded over an
interval of zero to one through an input membership function. Subtractive
data clustering has been applied to classify &amp;nu;&lt;sub&gt;fca&lt;/sub&gt; depending on its
homogeneity. Fuzzy rules are applied to the clustered dataset to establish a
relationship between predictors and the predictant. The accuracy of the
predicted turbulence shows that this method gives very good prediction of
turbulence in the troposphere. Using this method, the behaviour of &amp;nu;&lt;sub&gt;fca&lt;/sub&gt; for different wind conditions at different altitudes is studied.</description><dc:date>2010-08-03T00:00:00+02:00</dc:date></item><item rdf:about="http://www.ann-geophys.net/28/1467/2010/"><title>Ion dynamics during compression of Mercury's magnetosphere</title><link>http://www.ann-geophys.net/28/1467/2010/</link><description>&lt;b&gt;Ion dynamics during compression of Mercury's magnetosphere&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Annales Geophysicae, 28, 1467-1474, 2010&lt;br /&gt;&lt;br /&gt;Author(s): D. C. Delcourt, T. E. Moore, and M.-C. H. Fok&lt;br /&gt;&lt;br /&gt;Because of the small planetary magnetic field as well as proximity to the Sun
that leads to enhanced solar wind pressure as compared to Earth, the
magnetosphere of Mercury is very dynamical and at times subjected to
prominent compression. We investigate the dynamics of magnetospheric ions
during such compression events. Using three-dimensional single-particle
simulations, we show that the electric field induced by the time varying
magnetic field can lead to significant ion energization, up to several
hundreds of eVs or a few keVs. This energization occurs in a nonadiabatic
manner, being characterized by large enhancements of the ion magnetic moment
and bunching in gyration phase. It is obtained when the ion cyclotron period
is comparable to the field variation time scale. This condition for
nonadiabatic heating is realized in distinct regions of space for ions with
different mass-to-charge ratios. During compression of Mercury's
magnetosphere, heavy ions originating from the planetary exosphere may be
subjected to such an abrupt energization, leading to loading of the
magnetospheric lobes with energetic material.</description><dc:date>2010-08-03T00:00:00+02:00</dc:date></item><item rdf:about="http://www.ann-geophys.net/28/1463/2010/"><title>Size of the coming solar cycle 24 based on Ohl's Precursor Method, final estimate</title><link>http://www.ann-geophys.net/28/1463/2010/</link><description>&lt;b&gt;Size of the coming solar cycle 24 based on Ohl's Precursor Method, final estimate&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Annales Geophysicae, 28, 1463-1466, 2010&lt;br /&gt;&lt;br /&gt;Author(s): R. P. Kane&lt;br /&gt;&lt;br /&gt;In Ohl's Precursor Method (Ohl, 1966, 1976), the
geomagnetic activity during the declining phase of a sunspot cycle is shown
to be well correlated with the size (maximum sunspot number &lt;I&gt;Rz&lt;/I&gt;(max)) of the next
cycle. For solar cycle 24, Kane (2007a) used &lt;I&gt;aa&lt;/I&gt;(min)=15.5 (12-month running
mean), which occurred during March–May of 2006 and made a preliminary estimate
&lt;I&gt;Rz&lt;/I&gt;(max)=124±26 (12-month running mean). However, in the next few months,
the &lt;I&gt;aa&lt;/I&gt; index first increased and then decreased to a new low value of 14.8 in
July 2007. With this new low value, the prediction was &lt;I&gt;Rz&lt;/I&gt;(max)=117±26
(12-month running mean). However, even this proved a false signal. Since
then, the aa values have decreased considerably and the last 12-monthly
value is 8.7, centered at May 2009. For solar cycle 24, using &lt;I&gt;aa&lt;/I&gt;(min)=8.7,
the latest prediction is, &lt;I&gt;Rz&lt;/I&gt;(max)=58.0±25.0.</description><dc:date>2010-07-16T00:00:00+02:00</dc:date></item><item rdf:about="http://www.ann-geophys.net/28/1449/2010/"><title>Ionospheric storms at geophysically-equivalent sites – Part 2: Local time storm patterns for sub-auroral ionospheres</title><link>http://www.ann-geophys.net/28/1449/2010/</link><description>&lt;b&gt;Ionospheric storms at geophysically-equivalent sites – Part 2: Local time storm patterns for sub-auroral ionospheres&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Annales Geophysicae, 28, 1449-1462, 2010&lt;br /&gt;&lt;br /&gt;Author(s): M. Mendillo and C. Narvaez&lt;br /&gt;&lt;br /&gt;The response of the mid-latitude ionosphere to geomagnetic storms depends
upon several pre-storm conditions, the dominant ones being season and local
time of the storm commencement (SC). The difference between a site's
geographic and geomagnetic latitudes is also of major importance since it
governs the blend of processes linked to solar production and magnetospheric
input, respectively. Case studies of specific storms using ionospheric data
from both hemispheres are inherently dominated by seasonal effects and the
various local times versus longitude of the SCs. To explore
inter-hemispheric consistency of ionospheric storms, we identify
&quot;geophysically-equivalent-sites&quot; as locations where the geographic and
geomagnetic latitudes have the same relationship to each other in both
hemispheres. At the longitudes of the dipole tilt, the differences between
geographic and geomagnetic latitudes are at their extremes, and thus these
are optimal locations to see if pre-conditioning and/or storm-time input are
the same or differ between the hemispheres.

&lt;br&gt;&lt;br&gt;

In this study, we use ionosonde values of the F2-layer maximum electron
density (&lt;I&gt;Nm&lt;/I&gt;F2) to study geophysical equivalency at Wallops Island (VA) and
Hobart (Tasmania), using statistical summaries of 206 events during solar
cycle #20. We form average patterns of Δ&lt;I&gt;Nm&lt;/I&gt;F2 (%) versus local
time over 7-day storm periods that are constructed in ways that enhance the
portrayal of the average characteristic features of the positive and
negative phases of ionospheric storms. The results show a consistency
between four local time characteristic patterns of storm-induced
perturbations, and thus for the average magnitudes and time scales of the
processes that cause them in each hemisphere. Subtle differences linked to
small departures from pure geophysical equivalency point to a possible
presence of hemispheric asymmetries governed by the non-mirror-image of
geomagnetic morphology in each hemisphere.</description><dc:date>2010-07-15T00:00:00+02:00</dc:date></item><item rdf:about="http://www.ann-geophys.net/28/1441/2010/"><title>Influence of turbidity and clouds on satellite total ozone data over Madrid (Spain)</title><link>http://www.ann-geophys.net/28/1441/2010/</link><description>&lt;b&gt;Influence of turbidity and clouds on satellite total ozone data over Madrid (Spain)&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Annales Geophysicae, 28, 1441-1448, 2010&lt;br /&gt;&lt;br /&gt;Author(s): J. L. Camacho, M. Antón, D. Loyola, and E. Hernandez&lt;br /&gt;&lt;br /&gt;This article focuses on the comparison of the total ozone column data from
three satellite instruments; Total Ozone Mapping Spectrometers (TOMS) on
board the Earth Probe (EP), Ozone Monitoring Instrument (OMI) on board AURA
and Global Ozone Monitoring Experiment (GOME) on board ERS/2, with
ground-based measurement recorded by a well calibrated Brewer
spectrophotometer located in Madrid during the period 1996–2008. A cluster
classification based on solar radiation (global, direct and diffuse),
cloudiness and aerosol index allow selecting hazy, cloudy, very cloudy and
clear days. Thus, the differences between Brewer and satellite total ozone
data for each cluster have been analyzed. The accuracy of EP-TOMS total
ozone data is affected by moderate cloudiness, showing a mean absolute bias
error (MABE) of 2.0%. In addition, the turbidity also has a significant
influence on EP-TOMS total ozone data with a MABE ~1.6%. Those
data are in contrast with clear days with MABE ~1.2%. The total
ozone data derived from the OMI instrument show clear bias at clear and hazy
days with small uncertainties (~0.8%). Finally, the total ozone
observations obtained with the GOME instrument show a very smooth dependence
with respect to clouds and turbidity, showing a robust retrieval algorithm
over these conditions.</description><dc:date>2010-07-14T00:00:00+02:00</dc:date></item><item rdf:about="http://www.ann-geophys.net/28/1431/2010/"><title>Developing an ionospheric map for South Africa</title><link>http://www.ann-geophys.net/28/1431/2010/</link><description>&lt;b&gt;Developing an ionospheric map for South Africa&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Annales Geophysicae, 28, 1431-1439, 2010&lt;br /&gt;&lt;br /&gt;Author(s): D. I. Okoh, L. A. McKinnell, and P. J. Cilliers&lt;br /&gt;&lt;br /&gt;The development of a map of the ionosphere over South Africa is presented in
this paper. The International Reference Ionosphere (IRI) model, South
African Bottomside Ionospheric Model (SABIM), and measurements from
ionosondes in the South African Ionosonde Network, were combined within
their own limitations to develop an accurate representation of the South
African ionosphere. The map is essentially in the form of a computer program
that shows spatial and temporal representations of the South African
ionosphere for a given set of geophysical parameters. A validation of the
map is attempted using a comparison of Total Electron Content (TEC) values
derived from the map, from the IRI model, and from Global Positioning System
(GPS) measurements. It is foreseen that the final South African ionospheric
map will be implemented as a Space Weather product of the African Space
Weather Regional Warning Centre.</description><dc:date>2010-07-12T00:00:00+02:00</dc:date></item><item rdf:about="http://www.ann-geophys.net/28/1419/2010/"><title>Some characteristics of large-scale travelling ionospheric disturbances and a relationship between the F&lt;sub&gt;2&lt;/sub&gt; layer height rises of these disturbances and equatorial pre-sunrise events</title><link>http://www.ann-geophys.net/28/1419/2010/</link><description>&lt;b&gt;Some characteristics of large-scale travelling ionospheric disturbances and a relationship between the F&lt;sub&gt;2&lt;/sub&gt; layer height rises of these disturbances and equatorial pre-sunrise events&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Annales Geophysicae, 28, 1419-1430, 2010&lt;br /&gt;&lt;br /&gt;Author(s): G. G. Bowman and I. K. Mortimer&lt;br /&gt;&lt;br /&gt;Initially some characteristics of large-scale travelling ionospheric
disturbances (LS-TIDs) have been discussed briefly particularly as
reported in the early literature. These discussions also involve the
literature on the generation of LS-TIDs at times of geomagnetic bays.
Secondly, the possibility that LS-TIDs may be responsible for the F&lt;sub&gt;2&lt;/sub&gt;
layer equatorial pre-sunrise height rises is investigated. Tabulations at
hourly intervals of &lt;I&gt;h'F&lt;/I&gt; at Huancayo and Washington for a Rz max period
(1957–1960) have been used to identify height rises. For a three-hour
interval at Huancayo &lt;I&gt;h'F&lt;/I&gt; levels equal to or greater than 40 km of medians are
used to identify the pre-sunrise height rises. Also height rises at
Washington, which occurred earlier than those at Huancayo, have been
considered for evidence of travelling disturbances. For 40 events analysed
using geomagnetic bays and Washington height rises, a few hours before they
occur at Huancayo, indicate the statistical significance of an association
with LS-TIDs. Similar results of statistical significance have been obtained
using Washington events and bays on average 34 h before 46 Huancayo events.
These delays ranged from 29 h to 38 h. The results indicate that bays which
occur the day before are responsible for LS-TIDs which encircle the earth.</description><dc:date>2010-07-12T00:00:00+02:00</dc:date></item><item rdf:about="http://www.ann-geophys.net/28/1409/2010/"><title>Calculation of signal spectrum by means of stochastic inversion</title><link>http://www.ann-geophys.net/28/1409/2010/</link><description>&lt;b&gt;Calculation of signal spectrum by means of stochastic inversion&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Annales Geophysicae, 28, 1409-1418, 2010&lt;br /&gt;&lt;br /&gt;Author(s): T. Nygrén and Th. Ulich&lt;br /&gt;&lt;br /&gt;The standard method of calculating the spectrum of a digital signal is based
on the Fourier transform, which gives the amplitude and phase spectra at a
set of equidistant frequencies from signal samples taken at equal intervals.
In this paper a different method based on stochastic inversion is introduced.
It does not imply a fixed sampling rate, and therefore it is useful in
analysing geophysical signals which may be unequally sampled or may have
missing data points. This could not be done by means of Fourier transform
without preliminary interpolation. Another feature of the inversion method is
that it allows unequal frequency steps in the spectrum, although this
property is not needed in practice. The method has a close relation to
methods based on least-squares fitting of sinusoidal functions to the signal.
However, the number of frequency bins is not limited by the number of signal
samples. In Fourier transform this can be achieved by means of additional
zero-valued samples, but no such extra samples are used in this method.
Finally, if the standard deviation of the samples is known, the method is
also able to give error limits to the spectrum. This helps in recognising
signal peaks in noisy spectra.</description><dc:date>2010-07-06T00:00:00+02:00</dc:date></item></rdf:RDF>