Post-doctoral position Water extent mapping from data fusion of L-Band radiometry and radar

Category : CATDS, Data, L3, L4, position opening

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Post-doctoral position

Water extent mapping from data fusion of L-Band radiometry and radar

Location: Centre d’Etudes Spatiale de la Biosphère (CESBIO), Toulouse, France

Duration: 18 months start before November 2018

Description:

Interested in creating state of the art remote sensing products in hydrology for existing and future satellite mission, then join us ! In the framework of the future Surface Water and Ocean Topography (SWOT), a joint mission from French (CNES), American (NASA), Canadian (CSA), and British (UKSA) space agencies, CNES is developing a down-stream application service that will also integrate products from contemporary satellites. In 2008 the CNES had already developed a downstream centre (CATDS www.catds.fr) for the Soil Moisture Ocean Salinity (SMOS) mission which is providing today high level products for the mission. You will join the Microwave-SMOS group in the Observation Systems team at CESBIO. You will be under the supervision of Ahmad Al bitar (Ph.D.) who si in charge of high end (L4) products for CATDS and member of the Science Team of SWOT. You will contribute to existing collaborations with other institutions: LEGOS, GET, ECOLAB, Univ. Purpan.  You will be in charge of developing operationally ready products for the monitoring of inland water surfaces (wetlands, floodplains…) by extending the domain of application of existing algorithms and improving their resolution. These areas represent a great challenge and raise important scientific questions related to the water cycle, biodiversity and carbon cycle. Recent studies at CESBIO demonstrated the advantage of the use of L-Band for the monitoring of water surfaces under dense tropical forests. The final objective is to enrich the existing databases at global scale (CCI Water bodies, GSWO, GIEMS) and to make available a validation dataset for the future SWOT mission.

Actions:

> Adapting the retrieval algorithms for global application using L-Band brightness temperatures.
> Writing scientific papers, presenting results at conferences and project key-points.

Required Skills:

> Advanced knowledge of one programming language Matlab, Python using geospatial datasets.
> Proven writing and communication skills.
> Motivated, innovative and team-player.

Links:

https://www.researchgate.net/publication/317012733_Mapping_Dynamic_Water_Fraction_under_the_Tropical_Rain_Forests_of_the_Amazonian_Basin_from_SMOS_Brightness_Temperatures

Contact:

e-mail to : ahmad.albitar@cesbio.cnes.fr & santiago.penaluque@cnes.fr

Research Engineer in Remote Sensing: Characterising Uncertainties in Satellite Sea Surface Salinity

Category : Ocean, position opening

A research engineer position is open at the Laboratoire d’Océanographie et du Climat – Expérimentation et Approches Numériques (LOCEAN)/ Institut Pierre Simon Laplace (IPSL), PARIS, starting as soon as possible. The position is open for one year, renewable for 2 years depending on the candidate performance.

Context:

The SMOS (Soil Moisture and Ocean Salinity) mission is the first Earth-observing satellite mission carrying an L-band radiometer interferometer. Since its launch at the end of 2009, it has acquired more than 8 years of data that demonstrate the feasibility of the sea surface salinity retrieved by satellite with remarkable spatial resolution compared to other techniques. It has also opened new research perspectives. This unique 8-year salinity time series has permitted unique analyses of salinity variability, linked to oceanic meso-scale and to El Niño type events. Two other satellite missions, Aquarius (2011-2015, CONAE/NASA) and SMAP (2015-, NASA), also based on L-band radiometry, have been providing complementary synoptic salinity measurements leading to an unprecedented spatial coverage. Nevertheless, uncertainties on retrieved salinities differ depending on the radiometer type, the observation geometry, the calibration method, and on the direct and inverse models.

The LOCEAN team is involved since 1999 in the definition of the direct and inverse models applicable to SMOS and in the calibration-validation of the SMOS measurements. It is recognized as SMOS expert support laboratory by the European Spatial Agency (ESA) and by the Centre Aval de Traitement des Données SMOS funded by Centre National d’Etudes Spatiales (CNES). The selected candidate will join the LOCEAN team involved in the physics of the L-band radiometry, in the satellite salinity validation and in the understanding of responsible processes for the observed differences between satellites and in situ measurements, in particular those associated with air-sea interactions, vertical stratification and small-scale variability (www.locean-ipsl.upmc.fr/smos/ and siss.locean-ipsl.upmc.fr).

Work details :

- Characterization of uncertainties of satellite salinity products based on intercomparisons of the various satellite products and comparisons with in situ measurements. This work will be based on existing tools that the selected engineer will adapt to focus on case studies allowing the identification of the uncertainties origin. It will be performed in strong collaboration with researchers and engineers of the LOCEAN SMOS team.

- SMOS data processor development assessment in collaboration with the engineers and researchers in charge of its evolution. Participation to regular progress meetings (teleconferences) of CATDS (2-3 per year).

- Support to users (in French and English)

-Writing of technical papers and participation to scientific papers is possible, depending on the obtained results.

Required Skills:

-       Physics of satellite measurement

-       Data statistical analysis and critical interpretation of the results

-       Autonomy and team collaborative working

-       Python / Matlab ; LINUX

-       Interest in team software development: object-oriented programming, code refactoring & automated testing (e.g. pytest), version control (e.g. Git), code documentation.

Appreciated Skills:

-       Optimization for large dataset processing

-       Interest for environmental science

-       French and English

Level: Research Engineer (PhD thesis or equivalent). Master 2 in remote sensing will also be considered.

Address : LOCEAN, Sorbonne Université, Tour 45-55, 5E, 4, place Jussieu, 75005 PARIS, FRANCE.

Salary : about 1900E monthly net, commensurable with qualification and experience of the candidate (CNRS salary grid)

Candidates should send a statement of interest, CV and coordinates of 2 referees to  Jacqueline Boutin (jb@locean-ipsl.upmc.fr) and Dimitry Khvorostyanov (dimitry.khvorostyanov@locean.upmc.fr ).

Postdoctoral Associate Position in WRF Land Data Assimilation at U-Albany

Category : position opening

Postdoctoral Associate Position in WRF Land Data Assimilation at U-Albany


The SUNY University at Albany Atmospheric Sciences Research Center (ASRC) is conducting a search for a postdoctoral associate to work for 2-years in support of a NASA-funded project on assimilation of NASA Soil Moisture Active Passive (SMAP)   satellite-based soil moisture data into short-term NASA Unified Weather Research and Forecasting (NU-WRF) model forecasts. The planned weather- and climate-relevant research will involve extensive numerical weather forecast model evaluation and code modification. The specific objective is to improve short-term (9-30 h) weather (incl. wind) predictability over the central U.S.

To apply, go to:
https://rfhr.interviewexchange.com/jobofferdetails.jsp;jsessionid=DE3CB6CECC39BD78B87966E519AF3EFA?JOBID=90729

The position will remain open until filled. There is a preferred start date of February 2018 or sooner.

Any questions may be directed to Dr. Craig R. Ferguson (crferguson@albany.edu).

Postdoctoral Researcher: Satellite-Based Data Assimilation for Soil Moisture Estimation

Category : Model, position opening

We are searching for an enthusiastic postdoctoral researcher with experience in land surface modeling and/or data assimilation to implement advanced modules into an existing global land surface data assimilation system. You will be part of the Department of Earth and Environmental Sciences, Division Soil and Water Management, at the KU Leuven (Belgium), working under the supervision of prof. Gabrielle De Lannoy.

Soil moisture is a key variable in the water, energy and carbon cycle over land. The objective of this project is to merge large-scale land surface simulations with satellite-based microwave observations, using an advanced data assimilation scheme which corrects for both the random and persistent errors in soil moisture estimates. The improved soil moisture time series will help enhancing subsequent predictions of flooding, landslides, soil and vegetation carbon, deeper groundwater and the atmospheric boundary layer.

Our team

Responsibilities
==========
- Perform and disseminate highly qualitative research related to land surface modeling, observation and data assimilation
- Possibly supervise PhD or master thesis students

Profile
==========
- PhD degree in Hydrology, Civil or Environmental Engineering, Meteorology, Remotely Sensed Earth Observation, Physics, Mathematics, Computer Sciences, or equivalent
- Experience with data-processing applications such as Matlab/Python, IDL,GrADS, R, or other
- Experience in programming and scientific computing
- Excellent motivation and grades
- Creative, critical, analytical and innovative mindset
- Ability to work independently
- Excellent written and oral communication skills in English, proven in publications

Offer
==========
- 2-year position with a competitive salary; support in career development
- Multi-disciplinary and international professional environment
- Leuven is a charming historical university town, located in the heart of Western Europe

Interested?
==========
Only persons matching the above profile should apply. Please submit your resume, along with a motivation letter and two names for references on-line. The start date is 1 June 2017, but earlier or later start dates can be negotiated. For more information please contact prof. Gabrielle De Lannoy, tel.: +32 16 37 67 13, mail: gabrielle.delannoy@kuleuven.be.

Apply for this job no later than 15 May, 2017 via the online application tool. The position will remain open until filled by an excellent candidate.

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