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Today's Topics:
1. PhD studentship: Modelling isoprene emissions by land
vegetation at the global scale. (Morfopoulos, Catherine)
2. Science summer 2015 placement opportunity in verification
(Mittermaier, Marion)
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Message: 1
Date: Mon, 5 Jan 2015 15:04:26 +0000
From: "Morfopoulos, Catherine" <C.Morfopoulos@exeter.ac.uk>
Subject: [Met-jobs] PhD studentship: Modelling isoprene emissions by
land vegetation at the global scale.
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Cc: "Morfopoulos, Catherine" <C.Morfopoulos@exeter.ac.uk>
Message-ID: <D413B457-716A-483C-880B-9D7819EC2805@exeter.ac.uk>
Content-Type: text/plain; charset="us-ascii"
Hello,
There is a NERC GW4+ DTP PhD studentship available at the University of Exeter (UK), aimed at better predicting biogenic volatile organic compounds emissions and their impact on atmospheric chemistry. This multidisciplinary PhD brings together plant physiology, global scale biogeochemistry modelling and atmospheric chemistry. This work will be mainly undertaken at the University of Exeter, with a secondment at the Met Office. This studentship is available to UK nationals and other EU nationals that have resided in the UK for three years prior to commencing the studentship. The closing date for applications is midday on Thursday 15 January 2015.
Supervisors:
Dr Lina Mercado (University of Exeter),
Dr Gerd Folberth (Met Office),
Dr Catherine Morfopoulos (University of Exeter),
Prof Richard Betts (Met Office, University of Exeter)
Please see the following link for further details, or contact directly c.morfopoulos@exeter.ac.uk<mailto:c.morfopoulos@exeter.ac.uk>:
http://www.exeter.ac.uk/studying/funding/award/?id=1575
Thank you, Catherine
Dr. Catherine Morfopoulos
Associate Research Fellow
University of Exeter
CEMPS, Earth System Science
Laver Building
North Park Road
Exeter
EX4 4QE
Phone : +44 1392 722633/ +44 117 331 7269
www.helixclimate.eu<http://www.helixclimate.eu/>
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Message: 2
Date: Mon, 5 Jan 2015 16:26:33 +0000
From: "Mittermaier, Marion" <marion.mittermaier@metoffice.gov.uk>
Subject: [Met-jobs] Science summer 2015 placement opportunity in
verification
To: "'met-jobs@lists.reading.ac.uk'" <met-jobs@lists.reading.ac.uk>
Cc: "vx-discuss@rap.ucar.edu" <vx-discuss@rap.ucar.edu>
Message-ID:
<732A6844CFDC3E45B9433D5591394FC90EA89265@EXXCMPD1DAG4.cmpd1.metoffice.gov.uk>
Content-Type: text/plain; charset="iso-8859-1"
We have an exciting opportunity for a 3-month summer placement at the Met Office combining statistics and meteorology. This is an excellent opportunity to gain work experience and earn money, especially whilst at university, and will look good on any CV!
========================================================================================================================
The Model Diagnostics & Novel Verification team contribute to assessing the performance of the numerical model forecasts as measured against some form of truth data, frequently observations. They also apply and review novel techniques for monitoring the model performance, and use these methods to diagnose deficiencies in the system, which contributes to the process of improving the forecast model. The aim of this project is to construct an historical time-series of the Unified Model performance at predicting precipitation, using a relatively new verification score.
The project will involve extracting 24-hour precipitation totals from both model and surface observations, over as long a period as we can get back to. These totals will then be pushed through the software to calculate the required verification statistic. There will also be an opportunity to analyse the resulting data, looking at both time-series behaviour and behaviour in specific weather situations. We would like to assess how the score has changed over the historical period, and see whether it shows any change in the behaviour of the forecasting system. It is expected that any issues found will be highlighted in a report.
Essential Criteria:
- A good understanding of mathematics or a physical science
- Experience of analysing/visualising scientific data using high
level programming languages (e.g. Python/IDL/Matlab/R or similar)
- A willingness to tackle large data sets and extract relevant information
- Enthusiasm to work with a predefined data set and extract
results from it using Python working from a Linux operating
system.
- Ability to work independently, asking relevant questions to the supervisor when necessary
- Want to experience working in a scientific environment as part of a small team.
The Ideal Candidate would have:
- Some knowledge of Python, and an ability to manipulate scripts written in it.
- Knowledge of meteorology
- A desire to learn about techniques used to assess forecast model precipitation.
The application deadline is 15 January.
To apply go to
http://careers.metoffice.gov.uk/current-vacancies/
and click on the link for summer placements in science and observations. Make sure you select the right project!
Criteria and eligibility for applying
Successful candidate must be available to start on 29th June, 2015 and work continuously for 12 weeks. Additionally, this opportunity is open to those candidates who:
are aged 17 years or over on the 1st May 2015,
have completed their A-Levels (or equivalent), will be undergraduates, or those who have graduated within the last 2 years,
have GCSE A-C in both English and Maths, or equivalent,
have predicted or obtained 300 UCAS points, and
are eligible to work in the United Kingdom.
--
Dr Marion Mittermaier???? Manager: Model diagnostics and novel verification
Met Office?? FitzRoy Road?? Exeter?? EX1 3PB?? United Kingdom
Tel: +44 (0)1392 884830?? Fax: +44 (0)1392 885681
E-mail: marion.mittermaier@metoffice.gov.uk? http://www.metoffice.gov.uk
http://www.metoffice.gov.uk/research/people/marion-mittermaier
I am co-chair of the WMO WWRP Joint Working Group on Forecast Verification Research (JWGFVR) http://www.wmo.int/pages/prog/arep/wwrp/new/Forecast_Verification.html
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End of Met-jobs Digest, Vol 553, Issue 2
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