Researcher (postdoctoral) position in satellite-based hydrological data assimilation: KU Leuven & RMI, Belgium

Category : Data, Model, position opening

Job Description

We are seeking a highly qualified and enthusiastic candidate for a (postdoctoral) research position to work on hydrological and land surface data assimilation. The successful applicant will assimilate microwave remote sensing data (backscatter, brightness temperature) into a land surface model to improve ensemble predictions and reforecasts of discharges for major river basins in Belgium. The position is embedded within a Belspo research project on “Improved early warning through Earth observation data assimilation and hydrological retrospective forecasts (EODAHR)”.

You fit our team if you are an experienced researcher with a keen interest in remote sensing and land surface processes and eager to work in an international setting. You will be part of the Department of Earth and Environmental Sciences at the KU Leuven under the supervision of prof. dr. ir. Gabrielle De Lannoy, and collaborating with the Royal Meteorological Institute (RMI) of Belgium.

Our division: http://ees.kuleuven.be/bwb/index.html

EODAHR project page: http://eo-dahr.meteo.be

Responsibilities

- Implementing a backscatter assimilation scheme for major Belgian river basins using the NASA Land Information System

- Disseminating results via peer-review publications and attendance of international conferences

- Collaborating with other postdoctoral researchers and PhD students

Required Skills

Only applicants with all of the following skills will be considered:

- PhD in Bio-Science Engineering, Civil or Environmental Engineering, Meteorology, Hydrology, Remotely Sensed Earth Observation, Physics, Mathematics, Geography or equivalent

- Experience with data-processing applications such as Matlab/Python, IDL, GrADS, R, or other.

- Experience with data assimilation

- Experience with land surface remote sensing, hydrological or land surface modeling

- Experience with programming and scientific computing on Linux systems

- Excellent motivation and grades

- Creative, critical, analytical and innovative mindset

- Ability to work independently

- Excellent written and oral communication skills in English

- Willingness to work with PhD students

- Proven research experience in scientific publications

We Offer

- Fully funded position for 1 year, and a possible extension with good performance.

- Multi-disciplinary and international professional environment

- Leuven is a charming historical university town, with a central location in Western Europe.

More Information

Only persons strictly matching the above profile should apply. Submit your resume, along with a motivation letter, and two names for references on-line. The starting date can be immediate after selection, and can be negotiated. For more information, please contact prof. dr. ir. Gabrielle De Lannoy, tel.: +32 16 37 67 13, mail: gabrielle[dot]delannoy[at]kuleuven[dot]be.

Apply for this job no later than January 5th, 2020 via the online application tool.

https://www.kuleuven.be/personeel/jobsite/jobs/55496231?hl=en&lang=en

Post provided by –> Prof. dr. ir. Gabriëlle J. M. De Lannoy

KULeuven, Department of Earth and Environmental Sciences

Division Soil and Water Management

Celestijnenlaan 200 E – box 2411
B-3001 Heverlee
Belgium

SMOS Mission Extended to 2021!

Category : CATDS, Data, L1, L2, L3, L4, Non classé, Satellite

I am glad to inform you that yesterday the Program Board for Earth Observation (PB-EO) of ESA voted the SMOS mission extension following the ACEO (Advisory Committee for Earth Observation) review report:

« Member states’ delegations were very positive about both the achievements so far as well as the detailed plan being put forward for the extension. « 

CNES (the French Space Agency also funding the mission exploitation), has already granted funding until 2021 (actually 2019 with extension to 2021 pending PB-EO vote which we now have).

So, should everything go nicely with the satellite and platform, we have data guaranteed until  2021!

Congratulations and many thanks to all the actors of this success.

SMOS is now over 9 year old and still going strong by the way!

Yann

L Band continuation workshop update

Category : Non classé

Just a few words to say that the L band continuation workshop is now well over. We are preparing some documents and most notably a white paper. We will also put on this blog a post summarising the main findings…

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L band continuation workshop for the last day (Pic by A. Al Bitar)

This last week several of us attended also the ESA/ECMWF workshop at ECMWF, complementing usefully the findings of the previous week.

So stay tuned!

Interesting stuff from Davos (Laret) (for once?!)

Category : Data, ground measurements

Davos is well known for some meetings taking place up there. But our Colleagues from WSL and Gamma Remote sensing are carrying out a very interesting experiment as detailed below by Mike and Reza!

Davos-Laret Remote Sensing Field Laboratory: Latest Results and Progress

Reza Naderpour and Mike Schwank

The Davos-Laret Remote Sensing Field Laboratory (Switzerland) was established in October 2016 as the only currently-operating Alpine test site dedicated to the development of novel retrieval approaches for the estimation of snow properties from passive/active microwave remote sensing data.

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Caption: ELBARA in Davos-Laret: before winter (the wire mesh is visible on the ground) and when snow is present

The second winter campaign started on November 18, 2017 simultaneously with the publication of the first paper based on Winter 2016/17 campaign:

Naderpour, R.; Schwank, M.; Mätzler, C. Davos-Laret Remote Sensing Field Laboratory: 2016/2017 Winter Season L-Band Measurements Data-Processing and Analysis. Remote Sens. 20179, 1185.

Accessible here:

With two more upcoming papers, the research conducted in the Winter 2016/17 campaign has mainly investigated the retrieval of snow liquid water content from L-band radiometry as well as disturbing impacts of snow liquid water on the ground permittivity and snow density retrievals. Additionally, several data processing improvements, including a refined RFI mitigation approach, are suggested which can be of high interest to ELBARA users. See the PDF file for more information on the 2017/18 campaign and close-up details of the campaign practicalities!

NewsLetter_2017

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