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

Antarctica’s internal ice sheet temperature from SMOS

Category : CATDS, Data, L4

The new version of the internal ice sheet temperature estimated from SMOS over Antarctica is now available.This dataset is based on the combination of L-band (1.4 GHz) passive microwave observations with glaciological and emission models. The study highlights the potential of low microwave frequencies for investigating the internal temperature of the ice sheet.

fig_icesheet_tempmap

Figure : Ice temperature (K) derived from SMOS at depths of 1000 m (left) and 1500 m (right).

For more information see –>  G. Macelloni, M. Leduc-Leballeur, F. Montomoli, M. Brogioni, C. Ritz, G. Picard, 2019, On the retrieval of internal temperature of Antarctica Ice Sheet by using SMOS observations, Remote Sensing of Environment, 233, doi:10.1016/j.rse.2019.111405

Datasets are available at CATDS

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

Special Issue « New Outstanding Results over Land from the SMOS Mission »

Category : Data

from Amen Al-Yaari and Arnaud Mialon

Call for publications

Dear Colleagues,

Surface soil moisture (the water content in the first centimeters of soil) is an essential climate variable that plays an important role in land–atmosphere interactions. Soil moisture is widely used in improving climate model predictions/projections, weather forecasting, drought monitoring, rainfall estimations, etc.

Monitoring surface soil moisture at a global scale has recently become possible thanks to microwave remote sensing. SMOS (Soil Moisture and Ocean Salinity) was the first dedicated soil moisture mission that has been in orbit for eight years. The SMOS satellite was launched by the European Space Agency (ESA) in 2009, carrying on board a radiometer in the L-band frequency with a native spatial resolution of ~43 km. Since then, soil moisture and vegetation optical depth (VOD) have been retrieved from multi-angular brightness temperature observations relying mainly on a radiative transfer model.

This is a dedicated Special Issue on SMOS. We welcome studies on all subjects that are related to the SMOS satellite and its products.

Potential topics include, but are not limited to, the following:

  • the improvements in the soil moisture/VOD retrieval algorithms;
  • the evaluation/validation of the SMOS soil moisture and VOD products;
  • SMOS synergy with other remote sensing observations or models simulations;
  • SMOS soil moisture/VOD applications for agriculture, hydrology, etc.

Dr. Amen Al-Yaari
Dr. Arnaud Mialon
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI’s English editing service prior to publication or during author revisions.

http://www.mdpi.com/journal/remotesensing/special_issues/smos_rs

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