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Today's Topics:
1. Met Office job vacancy - Regional Climate Change Scientist
(Verney, Fiona)
2. Oceanography PhD studentship at NOC-Liverpool (Polton, Jeffrey)
3. New job vacancy with the Met Office (Verney, Fiona)
4. 3-year post-doc position at LSCE: data assimilation for the
study of CO2 ecosystem to atmosphere fluxes in Europe
(Gregoire Broquet)
5. Postdoc in air pollution meteorology- Climate Change Research
Centre, UNSW Australia (Melissa Hart)
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Message: 1
Date: Thu, 26 Mar 2015 13:58:03 +0000
From: "Verney, Fiona" <fiona.verney@metoffice.gov.uk>
Subject: [Met-jobs] Met Office job vacancy - Regional Climate Change
Scientist
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
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<1D2BA1CAE298F449AE7741008C676A8607FC57F2@EXXCMPD1DAG2.cmpd1.metoffice.gov.uk>
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Regional Climate Change Scientist vacancy
Location: Exeter
Country: United Kingdom
Contract: Permanent
Salary Information: ?26,010 and for exceptional candidates up to ?29,100 + competitive benefits including Civil Service Pension
Background: The Met Office has developed a world-leading capability in regional climate modelling. This includes downscaling of climate projections in projects delivering regional data for applications in the UK (e.g. UKCP) and Internationally (e.g. CORDEX) as well as more recently developing convection-permitting modelling on climate timescales which has for the first time offered insights into spatial and temporal characteristics of extreme precipitation for present day and future climates that are not reliably modelled at lower resolution.
An opportunity now exists to be a member of a small new team in Climate Science to further develop this capability jointly with teams in Foundation Science, Weather Science and Applied Science. The team will work, in collaboration, to build, evaluate and apply a range of regional configurations supporting underpinning development and climate applications of regional climate modelling.
Developing and delivering a strategy for downscaled information for the next UK climate scenarios (UKCPnext) will be a first key priority. This will involve designing, running and evaluating regional configurations for present and future climates for the UK and contributing to publications documenting the simulations as a state-of-the-art basis for impacts analysis by UK stakeholders.
With engagement from across Climate Science, the team will work to better understand important processes and regional impacts including (but not limited to) wind, drought, hydrological impacts, urban extremes, aerosol-cloud interactions. It is expected that this will involve expanding the current modelling capability to run a number of other regional model domains (e.g. including Europe, Africa, SE Asia and potentially other regions) as the new HPC capability becomes available.
Job Purpose: A member of a small team of scientists delivering scientific research and policy relevant climate advice on local characteristics of regional climate and climate change.
Job Responsibilities: To own a small number of defined configurations of the regional climate model including at convective permitting resolutions which can be applied to key regions of MO interest from both science and impacts perspectives.
To contribute to the design, evaluation and delivery of regional downscaling for UKCP, including regional model simulations, understanding and analysis of local climate projections for the UK and contribution to papers documenting the simulations as a world-leading basis for regional impacts analysis and decision making.
To undertake scientific research on understanding of regional climate processes, including through the use of convective permitting models, such as hydrological impacts (drought, flooding), wind, urban extremes, aerosol-cloud interactions etc.
To contribute to delivery and analysis of regional climate model applications across programmes (HCCP, CSSP, H2020, FCFA) over different regions of the world (Europe, Africa, SE Asia, China) in conjunction with Applied Science.
Essential Qualifications, Skills & Abilities:
1. A PhD in Physical Science or Mathematics (or equivalent research experience in a relevant field)
Strong mathematical and analytical skills.
2. Evidence of a high capacity for innovative thought and problem solving (Visionary).
3. Evidence of capability to work in a highly collaborative environment both internally and externally with good inter-personal skills.
4. Evidence of ability for effective communication both written and oral.
5. Good scientific computing skills including experience with numerical analysis.
Desirable Qualifications, Skills & Abilities:
1. Experience of running and analysing limited area climate or weather models on a high performance computer.
2. Understanding of climate projections and climate change.
Additional Supplementary Information: Please note that sponsorship to work in the UK may be available for this post.
Closing date: 24/04/2015
Click here to apply online <https://emea3.recruitmentplatform.com/syndicated/private/syd_apply.cfm?ID=QBHFK026203F3VBQB79LO8N25&nPostingTargetID=1383&step=DIRECT>
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Message: 2
Date: Thu, 26 Mar 2015 14:13:34 +0000
From: "Polton, Jeffrey" <jelt@noc.ac.uk>
Subject: [Met-jobs] Oceanography PhD studentship at NOC-Liverpool
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Cc: "Cannaby, Heather A." <heanna@noc.ac.uk>
Message-ID: <44389836-0070-485F-9BD5-4CA7CEB45BE8@noc.ac.uk>
Content-Type: text/plain; charset="Windows-1252"
National Oceanography Centre, Liverpool, UK is seeking to recruit one further PhD student with a fully-funded studentship commencing in October 2015.
"Investigation of the role of anthropogenic forcing in modulating biophysical interactions in the Black Sea using a 'state of the art? coupled hydrodynamic-ecosystem model?
http://noc.ac.uk/f/content/downloads/2015/Newton_PhD_Ad.pdf
Supervisors: Dr Heather Cannaby (NOC), Dr Jason Holt (NOC), Dr Alessandro Tagliabue (University of Liverpool)
To apply submit a CV and covering letter.
The closing date for applications is May 15th 2015. Final selection will be via interview.
Applicants should possess, or expect to graduate with, a first class or upper 2nd class degree in a numerate science, such as oceanography, physics, mathematics or meteorology, and have an enthusiasm to engage in numerical ecosystem modelling. Previous knowledge of ocean sciences is not essential. Some experience of computer programming is desirable. This is a highly interdisciplinary study and experience in one or more of the following areas would also be an advantage: marine biogeochemistry, marine biology, numerical ecosystem modelling, physical oceanography, processing of large datasets, Matlab programming. The successful candidate should be self-motivated, willing to learn new skills and able to communicate effectively with an international team of scientists.
Enquiries/application to Dr Heather Cannaby (heanna@noc.ac.uk).
This message (and any attachments) is for the recipient only. NERC is subject to the Freedom of Information Act 2000 and the contents of this email and any reply you make may be disclosed by NERC unless it is exempt from release under the Act. Any material supplied to NERC may be stored in an electronic records management system.
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Message: 3
Date: Thu, 26 Mar 2015 16:46:50 +0000
From: "Verney, Fiona" <fiona.verney@metoffice.gov.uk>
Subject: [Met-jobs] New job vacancy with the Met Office
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Message-ID:
<1D2BA1CAE298F449AE7741008C676A8607FC596B@EXXCMPD1DAG2.cmpd1.metoffice.gov.uk>
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Post-Processing Scientist
Region: Exeter, South West
Country: United Kingdom
Agreement Type: Temporary ? 2 years
Salary Information: ?21,675 and for exceptional candidates up to ?29,100 + competitive benefits including Civil Service Pension
Background
The Met Office, as a world leading authority in meteorology, produces and delivers weather forecasts from a range of deterministic and ensemble numerical weather prediction models, which are used to generate a wide array of products to deliver to customers worldwide. Post-processing of the raw model data is currently used both to further improve quality of the data and derive additional forecasts, such as the nowcasts (rapidly updated with the latest observations to provide prediction for the next few hours). The Product Generation System is also used reformat the data and to directly generate many of the products.
The Gridded and Site-Specific Post-Processing teams are responsible not only for improving the science, and supporting and developing the existing system, but also for driving forward a range of strategic initiatives, working closely with Technology and Information Services (TIS) and other Science teams to achieve this.
Site-specific post-processing blends forecasts from various sources to provide a single 'best' forecast out to two weeks ahead which is continually kept up to date. This data process will be streamlined to use standard processing, software and scientific data formats, cover a wider range of parameters and better coverage of sites.
In the future, the gridded post-processing will be used to provide standard forecast information, isolating downstream users from model changes, with all gridded data being delivered through the post-processing suite. The site-specific blending approach will be extended to the gridded forecasts to provide a seamless best gridded forecast from minutes to 2 weeks ahead. The gridded data process will also be streamlined to use standard processing, software and scientific data formats.
Job Purpose: To apply scientific and technical knowledge to contribute to the definition and delivery of post-processed weather forecast data, which most optimally meets the evolving customer need.
Job Responsibilities: Improve the science of the post-processing system; this includes the development of new, and enhancement of existing, methods for the physical, dynamical and statistical correction of model forecast data and for extrapolation nowcasts.
Contribute to the definition, development and implementation of a seamless, best weather forecast; this includes the development of optimal methods for combining forecasts from multiple sources.
Contribute to the development and implementation of a post-processing system, delivering standard forecast information, independent of numerical weather prediction model changes.
Help pull-through numerical weather prediction model improvements into weather forecast products.
Liaise with customers to understand their requirements and inform the definition and delivery of standard weather forecast information best meeting their needs.
Work closely with Technical & Information Services to develop and implement a streamlined data process using standard processing, software and scientific data formats.
Help maintain and support the gridded post-processing system.
Essential Qualifications, Skills & Abilities:
1. Good honours degree in a physical-/mathematics-based science (2.1 or above) or demonstration of equivalent experience.
Scientist: Relevant PhD or equivalent research experience
2. Demonstrates an ability to apply a broad scientific knowledge to specific problems and scenarios.
Foundation Scientist: Evidence of the ability to learn and apply simple technical and analytical techniques to basic scientific problems.
Scientist: Demonstrates good scientific knowledge of own subject area and ability to recognise potential for scientific investigations and learn new techniques/knowledge and apply them to one area of research.
3. Demonstrated ability to communicate their own scientific and technical work to other specialists.
Scientist: Ability to clearly communicate the work of their team to non-specialists.
4. Demonstrated ability to learn and apply software tools and/or programming languages.
Foundation Scientist: Experience setting up and running simple code and performing basic analysis.
5. Evidence of the ability to work and collaborate as an active and productive member of a team.
Scientist: Evidence of ability to provide scientific/technical advice to other team members.
6. Scientist: Proven ability to plan and manage your own work, with limited supervision.
7. Proven ability to develop new skills quickly.
Desirable Qualifications, Skills & Abilities:
1. Software programming experience in Fortran, C, python or IDL.
2. Working knowledge of one or more of the following scientific gridded data formats: netCDF, GRIB, Nimrod format, FieldsFile & PP format.
3. Knowledge and experience in atmospheric science, numerical modelling or statistical processing.
Additional Supplementary Information:
Please apply against the criteria for which your experience is most relevant. We may additionally sift your application at a level above or below the level at which you applied. If successful in passing the sift stage, we will inform you at what level we think your experience aligns with the invitation to interview letter.
The Post-Processing system is written mainly in Fortran, with some C++, with most plotting carried out in IDL, but future developments will make use of python and Iris.
This is fixed term contract opportunity for 2 years.
Please note, if you do not currently have permission to work in the UK, we will be unable to provide this for you for this vacancy.
Closing date: 17/04/2015
Click here to apply online <https://emea3.recruitmentplatform.com/syndicated/private/syd_apply.cfm?ID=QBHFK026203F3VBQB79LO8N25&nPostingTargetID=1409&step=DIRECT>
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Message: 4
Date: Thu, 26 Mar 2015 17:35:32 +0100
From: Gregoire Broquet <gregoire.broquet@lsce.ipsl.fr>
Subject: [Met-jobs] 3-year post-doc position at LSCE: data
assimilation for the study of CO2 ecosystem to atmosphere fluxes in
Europe
To: met-jobs@lists.reading.ac.uk
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Content-Type: text/plain; charset="iso-8859-1"
3-year post-doc position at LSCE:
Data assimilation in a regional ecosystem-atmosphere modelling framework for the study of CO2 natural fluxes in Europe
LSCE - Laboratoire des Sciences du Climat et de l'Environnement
CEA - L'Orme des Merisiers,
91191 Gif sur Yvette Cedex,
France
Context:
The regional quantification of CO2 ecosystem to atmosphere fluxes and the understanding of the underlying processes are critical to predict the fate of the European carbon budget and to support greenhouse gas (GHG) emission mitigation in the context of global changes. Recent and promising approaches rely on the use of data assimilation techniques with state of the art ecosystem and transport models. On one hand, the atmospheric inversion method derives the surface fluxes that best fit with atmospheric CO2 measurements, using an atmospheric transport model. On the other hand, complementary systems are currently developed to assimilate a wide range of carbon related observations to optimize the parameters of process-based terrestrial carbon models (CCDASs). The ICOS infrastructure now provides an unprecedented amount of atmospheric CO2 measurements, eddy covariance carbon, water and energy flux measurements and biomass data in Europe that can be exploited with these systems to better understand the variations of ecosystem fluxes at high spatial and temporal resolution.
The post doc will be connected to the EUROCOM bilateral project (between LSCE in France and the University of Lund in Sweden) in collaboration with other leading European institute in the field of carbon data assimilation. EUROCOM aims at studying the European ecosystem fluxes and associated uncertainties at high space and time resolution, based on the development of a novel regional modeling framework capable of assimilating various carbon cycle measurements from ICOS and from satellite observation. EUROCOM will also coordinate an inter-comparison of state of the art regional model data fusion approaches (inversions and CCDASs) from the European research community.
LSCE is an internationally renowned institute in the field of biogeochemical cycles and climate research. It has a strong expertise in inverse modeling of GHG fluxes and in the development of carbon cycle data assimilation systems. It has developed a variational meso-scale inversion framework at European scale solving for 6-hourly fluxes on a grid of 50 by 50 km based on the CHIMERE transport model (Broquet et al. 2011, JGR; Broquet et al. 2013, ACP) as well as an advanced data assimilation framework to optimize the parameters of the ORCHIDEE vegetation model (see http://orchidas.lsce.ipsl.fr/).
Position summary:
The successful candidate will run and analyse the results of i) the European variational atmospheric inversion system and ii) the coupling between this system and a regional CCDAS based on a new version of ORCHIDEE (including management effects on forest, grass and crops). He will thus directly participate to the development and application of the first regional model data-fusion approach combining atmospheric inversion and optimization of process-based terrestrial model parameters to assimilate multiple-data streams (atmospheric CO2, eddy covariance fluxes, satellite vegetation indices and possibly biomass measurements). He will study the recent dynamics of CO2 ecosystem fluxes in Europe (mean fluxes and inter-annual variations) and the underlying processes, using the results of this coupled system and the results from the University of Lund based on a similar approach. He will also help to establish an inter-comparison of regional data assimilation systems in Europe that use ICOS observations.
The successful candidate will work nearly full time at LSCE (LSCE, CEA-Orme des Merisiers, 91191 Gif sur Yvette cedex, France), with the teams dedicated to inverse modeling, ecosystem modeling and GHG atmospheric measurements. He will also have the opportunity to spend some time at the Lund University for inter-comparison exercises using the framework of the Carbon Portal of ICOS.
Applications:
The candidate should have a PhD with experience / knowledge in data assimilation, carbon cycle, atmospheric modeling, ecosystem modeling or more generally in modeling tools and statistics. The candidate should be autonomous and able to work with computing tools such as Fortran and/or python, and with complex model codes in UNIX environment. He should also have good communication skills.
The salary will be commensurate with experience, on the order of 33000 euros net per year, including full health care and retirement pension benefits. Applications should include a CV and a cover letter, and if possible the names of two reference persons. They should be sent to Gr?goire Broquet (gregoire.broquet@lsce.ipsl.fr) and Philippe Peylin (philippe.peylin@lsce.ipsl.fr). The applications should be sent, and the position will start in as soon as possible.
Some relevant publications:
Broquet, G., F. Chevallier, P. Rayner, C. Aulagnier, I. Pison, M. Ramonet, M. Schmidt, A. T. Vermeulen, and P. Ciais (2011), A European summertime CO2 biogenic flux inversion at mesoscale from continuous in situ mixing ratio measurements, Journal of Geophysical Research- Atmospheres, 116, doi:Artn D23303.
Broquet, G., et al. (2013), Regional inversion of CO2 ecosystem fluxes from atmospheric measurements: reliability of the uncertainty estimates, Atmospheric Chemistry and Physics, 13 (17), 9039-9056, doi:Doi 10.5194/Acp-13-9039-2013.
Kuppel, S., Peylin, P., Chevallier, F., Bacour, C., Maignan, F., and A.D. Richardson (2012), Constraining a global ecosystem model with multi-site eddy-covariance data, Biogeosciences, 9, 10.
Kuppel, S., Chevallier, F. and P. Peylin, (2013), Quantifying the model structural error in carbon cycle data assimilation systems, geoscientific model development, 6, 1, 45-55, DOI:10.5194/gmd-6- 45-2013.
Santaren, D., Peylin, P., Viovy, N., and P. Ciais (2007), Optimizing a Process based Ecosystem Model with Eddy-Covariance Flux Measurements: Part 1. A Pine Forest in Southern France, Global Biogeochemical cycle, 21 (2).
Gr?goire Broquet <gregoire.broquet@lsce.ipsl.fr>
Laboratoire des Sciences du Climat et de l'Environnement
L'Orme des Merisiers, Bat 701, Point courrier 129
91191 Gif sur Yvette Cedex, France
Tel: +33 (0) 1 6908 8687 / Fax: +33 (0) 1 6908 7716
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Message: 5
Date: Thu, 26 Mar 2015 23:24:12 +0000
From: Melissa Hart <melissa.hart@unsw.edu.au>
Subject: [Met-jobs] Postdoc in air pollution meteorology- Climate
Change Research Centre, UNSW Australia
To: "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
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Application close- 10 April 2015
About the role
- The appointment is initially for one year, with possibility of extension depending on the availability of resources, along with the successful applicant's performance.
- Applicants interested in negotiating a part-time appointment are also welcome to apply.
Air pollution events associated with bushfires have been associated with extreme health impacts, including increased hospital admissions and death. Hazard reduction burns are vital to reduce the severity of bushfires. However, if undertaken during unfavourable meteorological conditions, they too have the capacity to trigger extreme air pollution events.
This position will work in collaboration with the supervisor and collaborators from the NSW Office of Environment and Heritage (OEH) and Rural Fire Service (RFS) to produce a tool for forecasting air pollution impacts caused by hazard reduction burns over the Greater Sydney region.
About you
To be successful in this role you will hold a PhD and a research track record in a discipline such as atmospheric science, climate science, statistics or remote sensing; have experience in managing research projects and have exceptional communication skills.
You should systematically address the selection criteria in your application.
For more information contact Dr Melissa Hart- melissa.hart@unsw.edu.au<mailto:melissa.hart@unsw.edu.au>
To apply, visit- http://www.jobs.unsw.edu.au/research-associate-%E2%80%93-air-pollution-meteorology
The UNSW Climate Change Research Centre (CCRC) is a multi-disciplinary research centre comprising one of the largest university research facilities of its kind in Australia, administered within the School of BEES in the Faculty of Science.
The CCRC houses research expertise in the key areas of Earth's climate: atmospheric, oceanic and terrestrial processes. We apply basic scientific principles to pressing questions on climate dynamics, global climate change, and extremes of weather and climate.
Dr Melissa Hart
Graduate Director
ARC Centre of Excellence for Climate System Science
The University of New South Wales
Sydney NSW 2052 Australia
Email: melissa.hart@unsw.edu.au<mailto:melissa.hart@unsw.edu.au>
Phone: + 61 2 9385 6263
Fax: +61 2 9385 8969
http://www.climatescience.org.au/
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