Atmosphere

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Atmosphere and Ocean Dynamics

Prof. Nathan Paldor
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Research interests encompass the fundamentals of atmospheric and oceanic dynamics. The complex whirling of eddies of all sizes, the majestic major ocean currents or jet streams in the atmosphere are all examples of large scale dynamical features of the ever evolving fluids that move on the surface of the rotating spherical earth. The amount of fluid (be it gas in the atmosphere or saline water in the ocean) that are transported by these flows is too large for us to grasp at first glance. The Gulf Stream transports about 100 million tons of water every second from low latitudes to the mid-latitudes along the eastern coast of North America; about 3,000 times the amount of water flowing down the Niagara Falls. The Subtropical Jet Stream in the atmosphere transports about half-a-million tons of air (recall that the density of air is about 1/1000 that of water) around the earth from west to east at altitudes of about 10 km and speeds of the order of 100-150 km/h. The existence of the Subtropical Jet Stream enables the Israeli Airline El-Al to fly non-stop from Los-Angeles to Tel-Aviv, which it does in the opposite direction quite seldom. In my Geophysical Fluid Dynamics (GFD) research I attempt to define the exact physical origin of certain fluid dynamical phenomena and to provide exact theoretical descriptions of their observed features (such as the way they change with time and space). I also attempt to highlight the geophysical ramifications of their presence. 

In recent years I developed a theory of non-harmonic (also described as Trapped) waves of Geophysical Fluid Dynamics based on the formulation of a time-independent, Schrodinger eigenvalue equation for zonally propagating wave of the Rotating Shallow Water Equations (AKA Laplace Tidal Equations). The energy levels of the eigenvalue equation provide explicit expressions for the phase speeds of the waves and the associated eigenfunctions describe the meridional amplitude structure of the various waves. This formulation is relevant to many physical settings including the mid-latitude f-/β−β− plane, the equatorial β−β−plane and the spherical Earth. In particular, this formulation provided, for the first time, explicit expressions for the dispersion relations of Planetary (Rossby) waves and Inertia-Gravity (Poincare) waves on the spherical Earth (i.e. a rotating sphere but without the centrifugal acceleration. In additon to providing approximate, but highly accurate expressions for Planetary and Inertia-Gravity waves on the spherical earth the formulation of the Schrodinger eigenvalue equation has provided a clear demonstration that Yanai wave (AKA the mixed Rossby-Gravity mode) exists on a sphere but for different reasons than on the equatorial β−β−plane: In the latter this wave exists only because the second westward propagating wave is associated with singular zonal velocity while on a sphere the approximate solution by the Schrodinger equation yields an unacceptable (complex) phase speed near the gravity wave phase speed.

In contrast to the planar theories where Kelvin waves exist as additional modes to Inertia-Gravity waves (e.g. modes in which one velocity component vanishes identically so the other velocity and the height fields solve the three scalar Rotating Shallow water Equations) on a sphere these waves do not exist at all but the eastward propagating Inertia-Gravity n=0 mode is nearly non-dispersive.                

These theoretical advances enabled the construction of test cases for the dynamical cores of global scale General Circulation Models and the explicit expressions have also been applied in the interpretation of satellite borne observations of Sea Surface Height Anomalies in the Indian Ocean south of Australia where the nearly zonal coast provides the "wall" at which the waves are Trapped. 

My book entitled “Shallow Water Waves on the Rotating Earth” which was published by Springer in 2015 provides the details of this unified approach to the known waves of Geophysical Fluid Dynamics.

Extensions of classical Geophysical Fluid Dynamics theoriest to more complex/realistic set up, e.g. from the f-plane to the ββ-plane (or the sphere) or to bounded domain instead of an infinite one, also include Stommel (1948) fundamental wind-driven ocean gyres theory to a meridionally narrow domain and Ekman (1905)'s wind-driven surface transport in the ocean to the ββ-plane and to the spherical Earth. The first of these advances explains why there is no western boundary current in the South Pacific Ocean. The reason that emrges from the new theory is that compared to the other oceans, this ocean is narrow meridionally and long zonally. The second theory provides direct estimates of the zonal drift that columns of water undergo when the Coriolis frequency varies with latitude. The figure below, taken from the article published in January of 2023 in Ocean Science, shows how the zonal drift is insensitive to the sign of the wind stress indicated by the sign of ΓΓ (i.e. whether the wind blow eastwards or westwards) and that for sufficiently weak wind stress (right panel) the drift is directed westward (as in inertial oscillation) whereas for sufficiently high stress (left panel) the drift can reverse its direction.   
Similar results also hold on the spherical Earth.

 
Research Students

Roby Harcz (MSc Student)

Itamar Yacoby (PhD Student)

Contact Information

Nathan Paldor | Room 313 North | 972-2-65-84924 | nathan.paldor@mail.huji.ac.il

 

 

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Cloud and Precipitation Physics

Prof. Daniel Rosenfeld

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Research Interests: The questions that drive my research are understanding man-made impacts on cloud composition, precipitation, Earth energy budget and the implications to the climate variability and change. This is done by a combination of in-situ measurements with cloud physics aircraft campaigns into clouds around the world and remote sensing with radars and satellites, including the design of new dedicated space missions. All these observations are integrated and interpreted by model simulations of cloud aerosol interactions.

 

Research Students

Avichay Efraim (PhD Student)

Guy Pulik (PhD Student)

Contact Information 

 

Daniel Rosenfeld | Room 313 North | daniel.rosenfeld@mail.huji.ac.il

 

 

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Cloud Physics

Dr. Guy Dagan 

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Research interests

The Earth’s radiation budget and future climate change are intricately linked to clouds and aerosols. Efforts to accurately predict future climate, and socially adopt to it, are hampered by our limited understanding of how aerosols, clouds, circulation and climate interact. My main research interest is in trying to better understand the role of clouds and aerosols in the climate system. In order to do so I mostly use numerical models of different scales (from the single cloud scale to the global scale). Today’s state-of-the-art climate models, which are the main tool for predicting climate change, cannot work with the sufficient resolution required to directly solve the relevant physical processes related to clouds. This inability hampers our efforts to account for the clouds’ role in climate change and to predict future climate. On the other hand, high-resolution, limited-area, cloud resolving simulations are unable to directly account for the changes in the dynamics and thermodynamics of the climate system, hence they lack an important component of the clouds response. I believe that cerfully combining these tools (limited-area high resolution simulations and global simulations) together with observations is the preferred way to improve our understanding.    

 

 

Research Studants 

Dr. Namrah Habib - Postdoc (co-hosted with Nathan Steiger)

Dr. Jacob (Koby) Shpund - Senior Postdoc

Sreelekshmi T.- PhD student

Gedaliya Kitrossky - M.Sc. student (Co-supervised with Danny Rosenfeld)

Yuval Levin - M.Sc. student (Co-supervised with Assaf Hocman)

Suf Lorian - M.Sc. student

Denis Shum- M.Sc. student

Netta Yeheskel- M.Sc. student

 

Contact Information

Guy Dgan | guy.dagan@mail.huji.ac.il 

 

 

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Modeling Atmospheric and Oceanic Radiation (MAOR)

Prof. Carynelisa Haspel

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Research in the lab:

(a) We develop and utilize theoretical models that describe the interaction of radiation with particles in Earth's atmosphere and oceans. We are particularly interested in how best to model the effects of irregular particles, such as non-spherical particles, porous particles, particles comprised of disordered/amorphous materials, particles comprised of optically anisotropic materials, and mixtures of different components in the same particle. We simulate both single-scattering and multiple-scattering of unpolarized and polarized radiation. Our calculations have implications for modeling global climate and for remote sensing.

(b) We investigate discharges of lightning and transient luminous events (TLEs), such as sprites, which occur above thunderstorm clouds. We analyze lightning and sprite observations, and we develop theoretical models to help explain some observed phenomena, such as the circular configuration of simultaneous sprites and the shift in the location of sprites from their parent lightning event.

(c) We participate in collaborative efforts to monitor light pollution caused by artificial nighttime light and to simulate its propagation in air and in water, with implications for various ecosystems.

Research Method

We build theoretical models and run simulations both on local computers and on larger computer clusters. We analyze observations using various statistical tools, including some machine learning tools.

 

Research Studants 

 

Ynon Hefets (doctoral student)

Guy Pulik (doctoral student, co-supervised by Daniel Rosenfeld)

Gili Kurtser-Gilead (master’s student)

Roby Harcz (master’s student, co-supervised by Nathan Paldor)

David Walk (master’s student, co-supervised by Yoav Yair, Reichman University)

Camille Labrousse (postdoc, co-supervised by Noam Levin, Department of Geography)

 

Contact Information

Carynelisa Haspel  | room 302N | phone +972-542122328  | email: carynelisa.haspel@mail.huji.ac.il

 

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The Climate Lab

Prof. Haim Gurfinkel

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My research aims at extending the duration of reliable weather forecasts, and to then explore how the dynamical processes that are important on these short timescales may manifest on longer, climate-change timescales. The traditional approach to weather forecasting on one- to two-week timescales utilizes weather forecasting models, but on timescales longer than two weeks, the value of deterministic (or ensemble-based probabilistic) forecasts weakens. This is due to the presence of chaotic variability in the atmosphere. Yet certain modes of variability in the climate system have timescales longer than this two-week threshold, and the key to longer-scale prediction is to take advantage of these modes. By understanding the impacts of these modes of variability on surface weather, the potential for improved forecasts on a monthly timescale can be demonstrated and eventually realized. As many of these processes may be modified under climate change (or alternately, climate change may project onto these climate modes), a better understanding of these modes can also help improve the quality of climate change projections.

Two such classes of modes of variability are stratospheric variability (both in the tropical and polar stratosphere) and tropical tropospheric variability (e.g. the Madden-Julian Oscillation and El Nino), and most of my ongoing research focuses on these phenomena. For example, both polar stratospheric sudden warmings and the Madden-Julian Oscillation have been shown to influence European and Mediterranean weather, but it is unclear (1) what mechanism(s) underlie these connections, (2) how far in advance the  impacts can be predicted, and (3) what governs the magnitude of the surface impact.  As these processes must be represented by climate and weather models in order to actualize the potential improvement in predictability, and because the observational record of key meteorological quantities is relatively short, I also run models (both idealized and comprehensive) in order to test model fidelity and to isolate key processes. The ultimate goal is to improve the predictions and projections of surface weather and climate.

 

Research Methods

The main research methods are the development and application of models of the general circulation of the atmosphere; analysis of reanalysis data and output from comprehensive climate and forecasting models.

Research Studants 

Wuhan Ning(post-doc)
Yaron Eshet (PhD)
Chen Schwartz (PhD)
 Hagar Bartana (masters)
Benny Keller (masters)
 Gayathridevi  Salila** (PhD, with Dorita Rostkier-Edelstein)
Andre Klif** (PhD, with Assaf Hochman)
Yaniv Goldschmidt (MSc, with Francesco Marra)
Ran Galun (MSc in Computer Sciences, with Ami Wiesel)

Contact Information

Haim Gurfinke | chaim.garfinkel@mail.huji.ac.il

 

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The Water Cycle Research Group

Dr. Moshe (Koko) Armon
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Our group focuses on the relationship between water and extreme weather events in regions characterised by scarcity of water as well as the impact of climate change on such interactions. The research lies at the boundary between hydrology, climatology, atmospheric sciences, and surface processes in environments ranging from vast barren deserts to Mediterranean catchments.

 

Research Methods

The interdisciplinary research we do combines the development of new tools, data analysis and collection, and modelling of climatic- and hydrologic-related phenomena.

 

Research Students
  • Atul Rai; PhD student, School of Earth, Atmospheric and Life Sciences, University of Wollongong. Co-supervised by Tim Cohen. Thesis title: Australia’s inland hydrology: quantifying discharge characteristics of the Lake Eyre basin and Australia’s channel country

  • Miku Nakamura; MSc student, the Institute for Atmospheric and Climate Science, ETH Zurich. Co-supervised by Iris Thurnherr. Thesis title: Meteorological factors involved in heavy precipitation in and filling of Kati-Thanda Lake Eyre.

  • Guorong Ling; MSc student in the Institute for Atmospheric and Climate Science, ETH Zurich. Co-supervised by Hilla Afargan-Gerstman. Thesis title: Forecasting cyclones related to heavy precipitation events in the Sahara.

 

Contact Information 

Moshe (Koko) Armon | moshe.armon@mail.huji.ac.il

 

 

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Physical Oceanography and Climate Dynamics

Prof. Hezi Gildor

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In our lab, we study physical processes in the ocean, with a focus on understanding both past and present climate changes and the interaction between the sea and the atmosphere. We conduct ocean measurements, including currents, temperature, salinity, oxygen, and more, using a wide range of instruments such as underwater gliders, current meters, drifting buoys, and surface current radars. Additionally, we run numerical models with varying levels of complexitys. 

 

 

Surface drifters

 

 

 

Ocean mooring

 

HF radar for surface
current measurements

 


Deploying Acoustic Doppler
Current Profiler

 

Ocean gliders

 

WireWalker

 

 

Research Studants: 

Stefan Graf (PhD. Studant)

Itamar Yacoby (PhD. Studant)

Aviram Ohayon (MSc. Studant)

Contact Information:

Hezi Gildor | Room 312 North | 972-2-6584393 | hezi.gildor@mail.huji.ac.il

 

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precipitation

Climate Dynamics

Prof. Ori Adam 

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precipitation

 

We study the large-scale dynamics of the atmosphere and oceans and the interactions between them. We aim to improve our understanding of variations in the present and past climates, and the governing dynamic and thermodynamic mechanisms that drive them. We also strive to mediate between theoretical and applied geophysical practices, by developing tools and methods for applications such as bias reduction in climate models, interpretation of paleo records, and quantification of variations of the tropical rain belt.

Open positions are available for graduate students and postdocs.

 

Research Methods: 

We use climate models at varying complexity of the atmospheric and oceanic components. These include idealized models of the atmosphere and oceans amenable to mathematical analysis, an intermediate-complexity general circulation model with parameterized Ekman ocean energy transport (Afargan-Gerstman and Adam, 2020), a hierarchy of global ocean  models coupled to CESM1 (Hsu et al. 2022), comprehensive climate models (CESM2), the variable resolution Ocean Land Atmosphere Model (OLAM), as well as the analysis of modern climate models participating in the climate models intercomparison project (CMIP). We also aim to anchor the research in observations. To handle the large variety of observational and modeling datasets, we use the GOAT (Geophysical Observation Analysis Tool) data management tool.

 

Research Studants: 

Dr. Amita Kumar (Postdoc)
Research:
 Improving sub-seasonal forecasts in the Eastern Mediterranean by implementing idealized coupled ocean-atmosphere processes in numerical weather prediction models.  

 

Dr. Ignasi Vallés Casanova (Postdoc)
Research:
 Effect of Sharan dust on tropical Atlantic variability

 

Sreerag Sudheendran  (Ph.D. Candidate)
Research:
 Understanding the Ocean’s role in the seasonal cycle of the ITCZ

 

Shubham Pachpor (Ph.D. Candidate, co-advised by Ehud Strobach and Nadav Lensky)
Research:
 Effect of the Sea of Galilee on local meteorology.

 

Maya Shourky (M.Sc.) 
Research:
 Using Lagrangian back trajectories to identify the origin of ENSO heat anomalies.

 

Ofer Cohen (M.Sc)
Research:
 Importance of coupled processes to sub-seasonal forecasting in the eastern Mediterranean.  

 

Contact Information:

  Ori.Adam@mail.huji.ac.il | Group website

 

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Earth and Planetary Climates Lab

Dr. Nathan Steiger

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We work to discover why droughts, pluvials, and climate extremes happen. We also work to elucidate the nature of climate across geologic time and on exoplanetary atmospheres. Our tools include data from the recent and distant past, climate models, and the best statistical techniques for the problem in front of us

 

Research Studants 

Niels Brall

Accoavel Sobolev

Thomas Pliemon

Namrah Habib

Contact Information 

 

Dr. Nathan Steiger | Room 303 North | nathan.steiger@mail.huji.ac.il

 

 

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Predictability of Extreme Weather (PredEx)

Dr. Assaf Hochman

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The PredEx lab focuses on improving the ability to predict extreme weather events and their impacts across time and spatial scales, from regional to global and beyond.

Our work addresses the issue of weather and climate predictability from different perspectives, including physical observations, computer modeling, and mathematical/statistical theory.

Research Students

PhD Studants 

Victor Murphy 
My PhD research focuses on enhancing intrinsic predictability in numerical weather prediction by using dynamical system metrics within machine learning and artificial intelligence. The goal is to integrate these metrics into predictive models, thus extending the forecast horizon for long-term weather predictions. I am also working on a research project in the broader department called Systems Thinking in Earth and Environmental Sciences Teaching, which Professor Carynelisa Haspel is coordinating.
Email: victor.murphy@mail.huji.ac.il

Tair Plotnik

André Klif
Analyze sub-seasonal forecast models and/or climate models to better predict the
probability of occurrence of heat waves in the Middle East.
Email: andre.klif@mail.huji.ac.il

MSc Studants 

Efraim Bril
Paleo-climate: climate change in the Levant during the last interglacial period
LinkedIn profile : Efi Bril
Email: efraim.bril@mail.huji.ac.il

Margarita Mazor
Intricate relationship between weather types and the migration patterns of white storks
over the Eastern Mediterranean.
Email: Margarita.Mazor@mail.huji.ac.il 

Yuval Levin
Impact of anthropogenic emissions on the predicted precipitation regime for the Middle East
in the 21st century.
Email: yuval.levin@mail.huji.ac.il

 

Contact Us

assaf.hochman@mail.huji.ac.il |  Room 213 South

 

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Dynamical Mesoscale Modeling

Prof. Dorita Rostkier Edelstein
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Mesoscale and Planetary Boundary-Layer Meteorology, Mesoscale Numerical Weather-Prediction (from hours to seasons), Mesoscale Numerical Climate-Prediction, Impact of Weather and Climate on Environmental Applications: Urban Planning, Air Pollution, Dust Storms, Renewable Energies, Water Resources and Agriculture.

Research Methods

Dynamical Mesoscale Modeling:

  • The Weather Research and Forecasting (WRF) limited-area model including the following extensions:

    1. WRF-Chem: On-line coupled meteorology, atmospheric chemistry and mineral dust

    2. WRF-Urban: Detailed urban canopy modules

    3. MAD-WRF: Multi-sensor Advection Diffusion algorithm for advanced satellite cloud-initialization

    4. WRF-SCM: Single Column Model

    5. WRF-3DVAR, WRF-4DVar and WRF-EnKF: data assimilation suites based on 3- and 4-Dimensional Variational and Ensemble Kalman Filter algorithms

  • The Model for Prediction Across Scales (MPAS) global model with high-resolution zoom-in capabilities

Statistical modeling: 

  • Statistical downscaling using analogues and weather-regimes based algorithms

 

Research Students
  • Dr. Anton Gelman: Post-doc position

Subject: Improvement of numerical weather prediction over the Eastern Mediterranean trough clouds-data assimilation and           machine learning techniques

Email: anton.gelman@mail.huji.ac.il

  • Dr. Ilya Livshits: Researcher 

Subject: Development of an advanced model for dust forecasts over the Eastern Mediterranean 

Email: ilivsh@gmail.com

 

  • Borys Beznoshchenko: Ph.D. candidate with Dr. Eran Tas (Faculty of Agriculture) and Prof. Erick Fredj (Love Institute)
 Subject: Study of photochemistry over Israel with advanced modeling tools

 Email: Borys.Beznoshchenko@mail.huji.ac.il

  • Yoav Rubin: Ph.D. candidate with Prof. Pinhas Alpert (TAU)

 Subject: Use of microwave cellular links to measure atmospheric moisture and to improve numerical weather prediction

Email: rubin.yoav@gmail.com

 

 

Contact

Lab Lead: Prof. Dorita Rostkier-Edelstein 

Email: dorita.rostkier-edelstein@mail.huji.ac.il

 

 

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