met-jobs@lists.reading.ac.uk
To subscribe or unsubscribe via the World Wide Web, visit
https://www.lists.rdg.ac.uk/mailman/listinfo/met-jobs
or, via email, send a message with subject or body 'help' to
met-jobs-request@lists.reading.ac.uk
You can reach the person managing the list at
met-jobs-owner@lists.reading.ac.uk
When replying, please edit your Subject line so it is more specific
than "Re: Contents of Met-jobs digest..."
Please note that attachments can be viewed on the Met-Jobs archive page at http://www.lists.rdg.ac.uk/archives/met-jobs/
Today's Topics:
1. NERC Advanced Training Course – Earth Observations for
Weather and Climate Studies (Roger Brugge)
2. Stellenausschreibung / Vacancy (Roger Brugge)
----------------------------------------------------------------------
Message: 1
Date: Mon, 18 Jul 2016 09:10:45 +0000
From: Roger Brugge <r.brugge@reading.ac.uk>
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Subject: [Met-jobs] NERC Advanced Training Course – Earth
Observations for Weather and Climate Studies
Message-ID:
<B510E661B180DE459DF354D6B8026C1DF9E6CACB@vime-mbx5.rdg.ac.uk>
Content-Type: text/plain; charset="Windows-1252"
NERC Advanced Training Course – Earth Observations for Weather and Climate Studies
Suitable for postgraduate students and postdocs
Dates of course: 5-9 September 2016
Location: University of Reading, Reading, UK
Web link: Details can be found here<http://www.store.reading.ac.uk/browse/extra_info.asp?compid=2&modid=2&deptid=18&catid=68&prodid=740>.
Summary:
Earth observation (EO) plays a crucial role in providing weather/climate records, advancing our understanding of the weather and climate systems, and improving model representations. In addition to their unique role in weather/climate science and services, EO data are also a rapidly growing economic area. The course is aimed at PhD students or early career researchers who are working in weather/climate science, and wish to use EO data for understanding atmospheric processes and improving model simulations in a quantitative manner.
This 5-day training course combines lectures, practical sessions, student presentations and group projects. A team of experienced lecturers and researchers at the Department of Meteorology of the University of Reading will deliver morning lectures, introducing students to theoretical principles of satellite-based remote sensing measurements. They will also demonstrate and supervise afternoon practical sessions for students to conduct their group projects. Group projects will be based on well-defined research topics with 2–3 open questions; students will learn to analyse weather/climate model output, and run state-of-the-art radiative transfer models, visualisation tools and advanced satellite simulators in the Reading computing lab.
Course objectives:
The objectives of the training course are 1) to review fundamentals of weather, climate and radiative transfer models applied to remote sensing; and 2) to develop knowledge and practical skills for synthesising EO data for emerging weather and climate issues. At the end of the training course, the students will be able to:
• Develop and evaluate retrieval methods for sensing lands/oceans, aerosols, clouds, precipitation, temperature and humidity;
• Evaluate weather/climate model output using radiative transfer models and satellite simulators; and
• Synthesise large EO data sets by using and modifying visualisation tools.
This course focuses on quantitative aspects of extracting information from EO data, and the underpinning physics of this, rather than image interpretation.
Contact names:
Sinead O'Flynn s.oflynn@reading.ac.uk<mailto:s.oflynn@reading.ac.uk>
Dr Christine Chiu (c.j.chiu@reading.ac.uk<mailto:c.j.chiu@reading.ac.uk>)
How to register:
Please use this web link<http://www.store.reading.ac.uk/browse/extra_info.asp?compid=2&modid=2&deptid=18&catid=68&prodid=740> to register this course (via "Book Event").
-----------------------------------------------------------------------------------
Dr Christine Chiu Associate Professor of Atmospheric Physics
Room 504, The Philip Lyle Bldg. Tel: +44 0118 378 5574
Department of Meteorology Email: c.j.chiu@reading.ac.uk<mailto:c.j.chiu@reading.ac.uk>
University of Reading Web: http://www.met.reading.ac.uk/~xs902448/home/<http://www.met.reading.ac.uk/%7Exs902448/home/>
PO Box 243
Reading, RG6 6BB, UK
------------------------------
Message: 2
Date: Mon, 18 Jul 2016 09:12:11 +0000
From: Roger Brugge <r.brugge@reading.ac.uk>
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Subject: [Met-jobs] Stellenausschreibung / Vacancy
Message-ID:
<B510E661B180DE459DF354D6B8026C1DF9E6CAE7@vime-mbx5.rdg.ac.uk>
Content-Type: text/plain; charset="utf-8"
Sehr geehrte Damen und Herren,
anbei erhalten Sie zwei Stellenausschreibungen mit der Bitte um Bekanntgabe in Ihrer Einrichtung.
Mit freundlichen Grüßen,
Dagmar Janzen
Dear Sir or Madam,
Attached please find two job advertisements to be announced in your institution.
Yours faithfully,
Dagmar Janzen
----------------------------------------------------------------------------------------------
PhD position in Atmospheric Modelling at the IGMK – University of Cologne, Germany
The Atmospheric Modelling group (Prof. Yaping Shao) at the Institute for Geophysics and Meteorology at the University of Cologne (Germany) is offering a PhD position for 3 years starting in Fall 2016, within the Collaborative Research Center SFB1211 "Earth – Evolution at the Dry Limit". The project title is "Development of an Aeolian-Biogenic model".
We offer a productive and interdisciplinary working atmosphere including several possibilities for career development. The salary is based on the German E13 TV-L scale (75% time position) if terms and conditions under collective bargaining law are fulfilled.
Job description: The doctoral candidate will develop a module for quantifying the aeolian-biogenic interactions. Of particular importance is to quantify the strength and thickness of the biogenic crust, and to derive adequate parameterizations of these quantities as a function of environmental control parameters. At the same time the inhibition of aeolian erosion by the presence of crusts, as well as the effects of dust erosion and deposition on the formation of crusts will be considered. All these ingredients will be cast in a set of partial differential equations. The simulations will be extensively compared against observations from the literature and from the field and remote sensing campaigns within SFB 1211.
Requirements: We expect strong interest in atmospheric science with specialization in atmospheric and surface modeling. Applicants should have a Master-of-Science-equivalent university degree in meteorology, geophysics, physics or mathematics. Experience in scientific programming, preferably in a UNIX/LINUX environment, and knowledge in computational modelling is highly desirable. Candidates must possess excellent communication skills both in written and spoken English.
Applications: Interested candidates should send a CV; a cover letter describing background, training and research interests; certificates; and the contact information of two referees as a single PDF to meteo-jobs@uni‐koeln.de. Please clearly indicate which position you apply for. Review of
applications will begin immediately and continue until September 30, 2016.
The complete job ad is available at the following link:
https://www.stellenwerk-koeln.de/sites/default/files/pdf/university/phd_student_geopphysik_a.meteorologie_dr.albani_75.pdf
For more information contact:
Prof. Dr. Yaping Shao: yshao@uni-koeln.de<mailto:yshao@uni-koeln.de>
or Dr. Samuel Albani: s.albani@uni-koeln.de<mailto:s.albani@uni-koeln.de>.
Web: http://www.geomet.uni-koeln.de/en/rg-shao/
---
Postdoc position in Atmospheric Modelling at the IGMK – University of Cologne, Germany
The Atmospheric Modelling group (Prof. Yaping Shao) at the Institute for Geophysics and Meteorology at the University of Cologne (Germany) is offering a Postdoc position for 4 years starting in Summer/Fall 2016, within the Collaborative Research Center SFB1211 "Earth – Evolution at the Dry Limit". The project title is "Development and application of a Statistic-Dynamic Aeolian-Biogenic Model".
We offer a productive and interdisciplinary working atmosphere including several possibilities for career development. The salary is based on the German E13 TV-L scale if terms and conditions under collective bargaining law are fulfilled.
Job description: The postdoc will perform high-resolution atmospheric simulations over the Atacama with the Weather Research and Forecast (WRF) regional model for present-day and paleoclimate conditions. Those simulations will be integrated within a Statistic-Dynamic Aeolian-Biogenic Model (SDABM). The dynamical core will consist of existing atmospheric and aeolian modules, as well as a new biogenic module to be developed in parallel within our research group. The statistical component consists in the identification of climate modes and frequency via Empirical Orthogonal Functions, the dynamic core simulations for each climate mode, and the recombination of modes to determine the climatologies. The simulations will be extensively compared against modern and paleoclimate data from the literature and from the field and remote sensing campaigns within SFB 1211.
Requirements: We expect strong interest in atmospheric science with specialization in global/regional
modelling of the atmosphere. Applicants should have a Master-of-Science-equivalent university degree in meteorology, geophysics, physics or mathematics and preferably hold a PhD degree. Experience in scientific programming, preferably in a UNIX/LINUX environment, and knowledge in computational modelling is highly desirable. Candidates must possess excellent communication skills both in written and spoken English.
Applications: Interested candidates should send a CV; a cover letter describing background, training and research interests; certificates; and the contact information of two referees as a single PDF to meteo-jobs@uni‐koeln.de. Please clearly indicate which position you apply for. Review of
applications will begin immediately and continue until August 15, 2016. The selected
candidate is expected to start as soon as possible.
The complete job ad is available at the following link:
https://www.stellenwerk-koeln.de/sites/default/files/pdf/university/postdoc_geopphysik_a.meteorologie_dr.albani.pdf
For more information contact:
Prof. Dr. Yaping Shao: yshao@uni-koeln.de<mailto:yshao@uni-koeln.de>
or Dr. Samuel Albani: s.albani@uni-koeln.de<mailto:s.albani@uni-koeln.de>.
Web: http://www.geomet.uni-koeln.de/en/rg-shao/
--
SEKRETARIAT METEOROLOGIE
Dagmar Janzen, M.A.
Universität zu Köln
Institut für Geophysik und Meteorologie
Kerpener Str. 13
50937 Köln
Fon: +49 (0)221 470-3682
Fax: +49 (0)221 470-5161
http://www.geomet.uni-koeln.de
------------------------------
Subject: Digest Footer
_______________________________________________
Met-jobs mailing list
Met-jobs@lists.reading.ac.uk
https://www.lists.rdg.ac.uk/mailman/listinfo/met-jobs
------------------------------
End of Met-jobs Digest, Vol 633, Issue 1
****************************************