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Prof. Zvi Ben-Avraham Prof. Dan Kosloff Dr. Shmulik Marco Prof. Moshe Reshef Dr. Hillel Wust Bloch Dr. Lev Eppelbaum Prof. Z. Ben-Avraham Submersible “Delta” in the Dead Sea November 1999 Prof. Z. Ben-Avraham Prof. D. Kosllof • • • • Exploration seismology Seismic wave propagation Seismic inversion Signal processing Analysis of earthquake damage in archaeological structures 1759 Kala’at Nemord 749 Jerash Dr. S. Marco Ateret 1202 Temporal distribution of earthquakes: Example from the Dead Sea basin based on deformation of rocks Dr. S. Marco Earthquakes/5 kyr 0 1 2 3 4 5 6 7 8 20 25 30 Cluster II Age, 35 kyr 40 45 50 Cluster I 55 60 65 70 75 Seismite Prof. Moshe Reshef Seismic data analysis for oil exploration Seismic imaging and velocity model building Large-scale seismic data processing Geophysical computer-algorithm development Dr. Hille Wust-Bloch Nanoseismic Monitoring Platforms Dr. H. Wust-Bloch Nanoseismic Monitoring Types and Magnitudes of Source Processes Dr. H. Wust-Bloch 2006: -2.3 < ML < 8 [CTBTO: Illegal blast monitoring] 2005: -1.7 < ML < 3.3 [Weak seismicity monitoring] 2004: ML 5.0 [Aftershock monitoring] 2002: ML -3.6 [Sinkhole and cavitation monitoring] 2005: ML -0.7 [Blast monitoring] 2005: ML 2.9 [MERC: regional seismic calibration] 2004: ML 2.1 [CTBTO: blast activity monitoring] Dr. L. Eppelbaum Integrated magnetic-paleomagnetic-radiometrical scheme of Lake Kinneret area 1 & 2 - respectively normally and reversely magnetized basalts, 3 - Neogene basalts, 4 sediments, 5 - boundaries of paleomagneic zones in the Lake Kinneret, 6 - faults, 7 radiometric age of basalts, 8 - data of surface paleo-magnetic measurements: a - reverse magnetization, b - normal magnetization, 9 - data of magnetic field analysis in the lake: a reverse magnetization, b - normal magnetization; 10 - boreholes, 11 - generalized direction of the buried basaltic plate dipping, 12 - location of paleomagnetic profile. 1n, 2n, 3n, 1Ar, 2Ar and 3Ar are the indexes of paleomagnetic zones. Dr. L. Eppelbaum Interpretation magnetic data at the Roman archaeological site Banias (northern Israel): A – Polynomial smoothed map of the total magnetic field (observation level is 1 m over the earth’s surface), B – Results of inverse problem solution along profile I - I, C – Results of 3-D modeling of magnetic field along profile I – I Prof. Pinhas Alpert Dr. Nili Harnik Dr. Eyal Heifetz Prof. Zev Levin Prof. Colin Price Dr. Pavel Kishcha Dr. Shimon Krichak Prof. P.Alpert Dynamics of weather, Numerical weather prediction, Climate changes, Effects of land-use changes on climate, Global warming and the E. Mediterranean, Rainfall variability, Mesoscale modeling & observations, Cyclogenesis, Synoptic analysis, Aerosols effects on climate and weather, Modeling dust transport, Sea-Breezes- observations & modelling Dr. N. Harnik Former Research interests • Storm track dynamics and variability: Observations of the interannual and decadal variations of the Northern Hemisphere storm tracks. The relationship between the interannual variations of the jet and storm track strength in the Pacific. • Stratospheric dynamics: Planetary wave structure and variability. The effects of downward reflection on wave structure. • TMME- Tropical Modulation of Midlatitude Eddies - the effect of ENSO on midlatitude circulation. • Mid latitude eddy life cycle dynamics. The effects of basic state wave geometry on the life cycles (LC1 vs LC2), and possible consequences for larger scale circulation- strom track structure and variability, the response of midlatitudes to El Nino. • The North Atlantic Oscillation - Arctic Oscillation: the interaction with the stratosphere Dr. Nili Harnik figure 1: a schematic illustration of the two approaches to shear instability. the figures show at a glance that the approaches are very different from each other. figure 2: Time lag-heigt correlations of the Northern Annular Mode (NAM). Figures show that the downward migration of the NAM signal from the stratosphere to the troposphere is absent during years with strong downward reflection of planetary waves. Since NAM is primarily a zonal mean signal driven by absorption of planetary waves, it suggets two dynamical regimes in the stratosphere- reflective or absorptive figure 3: Seager et al 2003 (I am second author on these papers) studied the zonal mean response to ENSO. They defined an index based on the seasonally varying 300mb zona mean wind which essentially reflects ENSO. plotted are the regressions of DJF zonal mean temperature (colors in both plots), winds (top contours) and vertical velocity w (bottom contours). all based on ncep reanalysis after 79. the plots show the signal during El Nino: anomalous cooling in midlatitudes, which is located in a region of anomalous ascent. This anomalous ascent is driven by anomalous eddy momntum fluxes. the theory: el nino strengthens the subtropical jet (stronger Hadley cell), which alters the midlatitude eddies to yield the observed response. This is a main motivation to the ongoing research (topics mentioned above in the slide) how are midlatitude eddies affected by the anomalies in the basic state? Dr. Nili Harnik – research interests Shear instability- relating the two existing and very different theories, based on wave propagation in the shear direction or cross-shear direction: Overreflection Counter propagating Rossby Waves (Harnik and Heifetz, 2006, to be submitted to QJRMS) Stratospheric dynamics and downward coupling to the troposphere - effects of downward reflection of planetary waves: All years years with years with no reflection height The coupling is very different during years with downward reflection – two dynamical regimes? Figure: Time-height correlations of NAM index, reference height - 10mb (Perlwitz and Harnik 2004) time lag - days reflection Dr. Nili Harnik – research interests (cont) Effects of barotropic shear on baroclinic waves – linear growth and nonlinear eddy life cycles. The role of wave-mean flow interaction and eddy life cycles for mid-lattitude atmospheric variability TMME- Tropical Modulation of Midlatitude Eddies: why are midlatitudes colder during El Nino? Seager et al, J Clim 2003, QJRMS 2005 ENSO has a zonal mean extratropical signal which is driven by anomalous eddy momentum fluxes. Figure: Zonal mean ENSO related anomalies for DJF: Color in both - temperature. Top contours - wind, Bottom contours - vertical velocity. Work with M. Whittman, Columbia University; Climate group, Lamont Doherty Earth Observatory, O. Pasternak, TAU Dr. E. Heifetz • Dynamic meteorology • Cyclones formation and their interaction with the jet stream • Non-linear and non-modal hydrodynamic unstable systems Prof. Z. Levin (4 slides) 1) The first is an image of a dust storm during MEIDEX. The image shows the interaction of the dust and the clouds to the north. We see some invigoration of the clouds as seen in the middle and the more eastern clouds. 2) The second is an electron microscope image of dust particles with sea salt on them. This is important because the dust is a good ice nuclei (forms ice crystals in clouds at warmer temperature than most natural particles) and sea salt is a good condensation nuclei. Thus such particles form giant CCN which form large drops leading to early and rapid growth by collection. 3) The third is a result from our model simulation showing the increased pollution decreases the rain. In Israel we normally have about 400 CCN/cm3 leading to about 300-400 drops near cloud base. Increase pollution will lead to much higher drop concentrations and reduced precipitation. 4) The forth slide shows the lifetime of clouds as they become affected by pollution. The large clouds that contain ice in them tend to increase the lifetime with increase pollution. On the other hand, small clouds such as those in the tropics and over the ocean, tend to reduce their lifetime with increased pollution Prof. Z. Levin Dust storm during MEIDEX – 28 January, 2003 1 – possible clouds without dust 2,3 – possible regions of interactions of dust and clouds 2 3 1 MODIS 2 3 1 A dust storm during MEIDEX. The image shows the interaction of the dust and the clouds to the north. We see some invigoration of the clouds as seen in the middle and the more eastern clouds. Prof. Z. Levin Sea salt on dust particles in a dust storm over the Mediterranean Sea Zev Levin et al 2005, Submitted to JGR An electron microscope image of dust particles with sea salt on them. This is important because the dust is a good ice nuclei (forms ice crystals in clouds at warmer temperature than most natural particles) and sea salt is a good condensation nuclei. Thus such particles form giant CCN which form large drops leading to early and rapid growth by collection. Prof. Z. Levin The combined effect of GCCN and IN on total precipitation A result from our model simulation showing the increased pollution decreases the rain. In Israel we normally have about 400 CCN/cm3 leading to about 300-400 drops near cloud base. Increase pollution will lead to much higher drop concentrations and reduced precipitation. Prof. Z. Levin CCN effect on cloud lifetime (Hongli et al., in press GRL, 2006) The lifetime of clouds as they become affected by pollution. The large clouds that contain ice in them tend to increase the lifetime with increase pollution. On the other hand, small clouds such as those in the tropics and over the ocean, tend to reduce their lifetime with increased pollution. Prof. Colin Price Tropical Thunderstorms Influence Water Vapor in the Upper Troposphere (UTWV) Radio Waves from Lightning in Africa (detected at our Negev station) can be used to track changes in UTWV Lightning Water Vapor First observations of Sprites above Thunderstorms in Israel January 14th 2006, from Mitzpe-Ramon Prof. Colin Price Dr. Pavel Kishcha Department of Geophysics and Planetary Sciences, Tel-Aviv University Research topics: 1. Modeling and forecasting of desert dust aerosols and their effects on the Eastern Mediterranean weather and climate; 2. Modeling and forecasting of sea-salt aerosols; 3. Global distributions of aerosol-cloud radiative properties and their trends based on satellite data and ground-based pyranometer measurements. 3D-distributions of Saharan Dust: Daily Forecasting Dr. Pavel Kishcha Saharan dust over the Mediterranean on May 5, 2007. 05/05/2007 SeaWIFS satellite data Sea-salt aerosols over the Mediterranean region on February 07, 2007 Dr. Pavel Kishcha Latitudinal variations of cloud and aerosol optical thickness and their trends based on MODIS data (2000 – 2006) (Reference: Kishcha, P., B. Starobinets, and P. Alpert, GRL, 2007) Aerosol optical depth (AOD) Cloud optical thickness -60 -40 -20 0 20 40(COT) 60 25 Collection 4 Collection 5 Cloud optical thickness 0,25 Aerosol optical depth 25 Collection 4 Collection 5 0,20 0,15 20 20 15 15 10 10 0,10 -60 -40 -20 0 20 Latitude, degrees 40 60 -60 -40 -20 0 20 40 60 Latitude, degrees In contrast to AOD, COT is quite symmetrical in both hemispheres. Effect of Urbanization on Solar Dimming obtained for all 317 worlwide sites (1964-1989) Dr. Pavel Kishcha < Population density Surface solar radiation trend Number of pyranometer sites < 10 -0.05 W/m2/yr 44 10 < & < 100 -0.26 W/m2/yr 109 100 < & < 200 -0.32 W/m2/yr 200 < & < 400 -0.22 W/m2/yr > 400 -0.24 W/m2/yr 56 53 55 Significance level Not signific. 0.002 0.001 0.007 0.013 Dimming is essentially dominated by anthropogenic emissions: a decline in surface solar radiation became sharper at sites with population density increasing up to 200 persom/km2; Some saturation was observed at highly-populated sites: the trend at sites with population density > 200 persom/km2 was less pronounced than that at sites with a lower population density. Dr. Shimon Krichak Hydrodynamic modeling of the Earth atmosphere for weather/mineral dust prediction, atmospheric circulation studies and climate simulation Weather Research Center (WeRC) at TAU Israeli floods of December 3 – 5 2001 The system developed performs - Twice-daily weather prediction for the eastern Mediterranean region with the MM5 model: 60 and 20 km resolution 36 vertical layers - Once-daily mineral dust prediction with the Eta (DREAM) mineral dust prediction. 50 km resolution, 32 vertical layers Signatures of the NAO in the atmospheric circulation during wet winter months over the Mediterranean region NAO low NAO high Dynamic Tropopause Effects of a Dec. 2001AtlanticMediterranean Teleconnection Episode Initiated by Extratropical Transition of Hurricane Olga Simon O. Krichak, P. Alpert & M. Dayan (e-mail: [email protected]) Department of Geophysics and Planetary Sciences, Faculty of Exact Sciences, Tel Aviv University, Israel WMO/TMRP THIRD INTERNATIONAL WORKSHOP ON EXTRATROPICAL TRANSITION (IWET-III) Perth, Australia, 5-9 December 2005 Dr. Shimon Krichak Hydrodynamic modeling of the Earth atmosphere for weather/mineral dust prediction, atmospheric circulation studies and climate simulation Regional Climate Modeling for the Eastern Mediterranean (EM) region Results of RegCM3 downscaling of current (1961-1990) and future climate 2071-2100 (A2 and B2 emission scenarios) are produced 50 km coarse resolution run Example: downscaling regional winter precipitation with RegCM3 model. Driving data: NNRP 1982-1983 (DS=250 km) 17 km nesting of the coarse resolution results Prof Akiva Bar-Nun Dr. Leonid Alperovich Prof. Morris Podolak Dr. Peter Israelevich Prof. Dina Prialnik Kovetz Dr. Shay Zucker Prof. A. Bar-Nun Comet Simulation Systems Prof. M. Podolak Prof. M. Podolak 250 Temp. (K) 200 150 100 50 0 0 2 4 6 8 Dist. (AU) Grain temperature – for 10 mm grains of pure ice, dirty ice, 1mm silicate core, 5 mm silicate core, all in the photosphere. The green squares show the location of the snowline. In all cases it is around 145 K. The grain temperatures for pure ice and 1 mm silicate core at midplane are also shown. Here the snowline is at around 170 K. This research is being done in collaboration with Prof. D. Sasselov of Harvard University Prof. M. Podolak Prof. M. Podolak Speeds of ice grains ejected from a comet for the Rosetta Mission to comet 67P/Churyumov-Gerasimenko. I am associated with the SESAME experiment run by the DLR Istitute of Space Simulation, Koeln, Germany. 1.00E+01 Grain Speed (m/s) 1.00E+00 1.00E-01 1.00E-02 1.00E-07 1.00E-06 1.00E-05 1.00E-04 1.00E-03 Grain Size (m) 1.00E-02 1.00E-01 1.00E+00 Cometary Research Properties Composition, Structure, Orbit Energy sources Processes m o d e li m n o g Activity Prof. Dina Prialnik, Prof. Morris Podolak + 10 Ph.D. and M.Sc. students Numerical modeling of comet nuclei Prof. D. Prialnik Dr. Shay Zucker – research interests • Search for extrasolar planets: – Ground-based spectroscopic observations (Doppler method) – Ground-based photometry (looking for transits/eclipses) – Space-based observations (the satellite Hipparcos, the planned space missions CoRoT, Gaia) • Formation and evolution of planetary systems – Statistical properties of current extrasolar planet sample – Conditions in the protoplanetary disk (gas and dust properties, planetary migration) Dr. Shay Zucker – research interests • The Black Hole in the Galactic Center as a ‘planetary’ system – Celestial mechanics of the stars around the Black Hole – Role of interstellar comets in the Galactic Center • Celestial Mechanics – Detectable orbital effects of Special and General Relativity – Orbital resonances – Tidal evolution • Minor Bodies in the Solar System – Photometric analysis of binary and rotating asteroids – Occultations by Kuiper betl objects and asteroids Dr. Leonid Alperovich Ultra Low Frequency geomagnetic pulsations I. II. III. A. B. C. Magnetospheric propagation of the MagnetoHydroDynamic (MHD) waves; Ionospheric transformation of MHD waves; Separation of the ground variations into two classes: Space produced oscillations; Tectonogenic variations. Signal processing Dr. L. Alperovich Magnetospheric plasma can be considered as a high conductive fluid embedded into theN strong magnetic field Two conjugate points, N and S N MHD wave Continuous pulsations Name Period (s) Irregular pulsations Name Period (s) 0.5 - 5 Pi1 1 - 40 Pc2 5 - 10 Pc3 10 - 45 Pc4 45 - 150 Pc5 150 - 600 Pi2 40 - 150 Pc1 Magnetospheric source, frequency W S Resonance field line w=W Magnetospheric Diagnostics N = S dl VA l VA l 200 period [s] Resonance period: length of a field line = phase velocity . T=35s Magnetic field l cold plasma density l Dr. L. Alperovich 0 Israel 60 latitude [deg] ULF Magnetospheric Diagnostics and Deep Electromagnetic Sounding of the Earth I. II. A. Magnetospheric plasma can be considered as a high conductive fluid in the strong magnetic field Ground observations of the ULF geomagnetic pulsations yield information on distribution of the cold plasma in the magnetosphere Dr. L. Alperovich B. C. Geoelectrical structure of the Earth Geomagnetic perturbations associated with an earthquake Dr. Peter Israelevich • • • • • Solar-terrestrial relations Magnetospheric physics Physics of comets Laboratory simulations Space technology Dr. P. Israelevich Crossing of the bifurcated Jovian magnetotail current sheet We have studied the problem of bifurcation of the current sheet in the magnetospheric tail. We succeded to find the first example of current sheet bifurcation in the Jovian magnetosphere. Figure shows the profile of the electric current density during one of the Voyager 2 current sheet crossings. Distribution of the current density exhibits two distinct maxima and the minimum at Bx = 0, i.e. at z = 0. In contrast to the Earth’s magnetosphere, double peak current sheet is a rather rare feature of Jovian magnetosphere Dr. P. Israelevich Perpendicular temperature anisotropy We have proposed a model of the magnetic tail current sheet bifurcation due to the ion pressure anisotropy in the plane perpendicular to the magnetic field. The figure shows the model profile of electric current density (red line) and the averaged dependence of electric current density on the Bxcomponent of the magnetic field in the geomagnetic tail, measured by CLUSTER in August-October 2001 ISA-MEIDA = Israel Space Agency - Mid-East Interactive Data Archive Head: Prof. Pinhas Alpert Scientific Manager: Dr. Amnon Stupp In Israel 90% of the data collected for Earth System research is lost. The Israeli NASA Node is the only organization in Israel committed to saving and preserving Earth System Data. ISA-MEIDA is part of a network including NASA, DLR, JAXA (previously NASDA), and more. ISA-MEIDA Access Statistics for the year 2007 Head: Prof. Pinhas Alpert Scientific Manager: Dr. Amnon Stupp ISA-MEIDA Access Statistics 2007 Visits 9,000 8,000 7,000 5,000 4,000 3,000 ISA-MEIDA Access year 2007 2,000 Hits 1,000 0 January 400,000 February March April May June July August September October November December 350,000 Month 300,000 250,000 Monthly Total Hits Monthly Total Visits 6,000 200,000 150,000 100,000 50,000 0 January February March April May June July Month August September October November December