workshop including Model uses of Optical Remotely Sensed Data

 

see session 4 in the following that is designed to resonate with this ESA contract…
Workshop: Modeling Meltwater in Snow and Firn: Processes, Validation, Intercomparison and Model uses of Optical Remotely Sensed Data
20-22 September 2017, Copenhagen.
  • The workshop starts Wednesday Sep 20 at 12.00, and ends Friday Sep 22 at 12.00.
  • A PROMICE 10-year jubilee and reception is planned for the afternoon of Sep 22.

Purpose

  • to present and discuss results on modeling of meltwater retention processes in snow and firn on ice sheets and glaciers;
  • to plan and coordinate meltwater retention model development;
  • to emphasize optical remote sensing snow parameter data comparison and data assimilation;
  • to formulate a protocol for a meltwater retention model intercomparison project (RetMIP)

This is workshop two as part of Danish Council for Independent Research (DFF) Natural Sciences program (FNU) project 4002-00234: Understanding and predicting non-linear change in the permeability of Greenland firn and has a special session co-sponsored by the ESA Scientific Exploitation of Operational Missions (SEOM) Sentinel-3 for Science, Land Study 1: SNOW.

Sessions

 

  1. Snow model development
  2. Meltwater retention model validation
  3. Meltwater retention model intercomparison project (RetMIP)
  4. Optical remote sensing to improve snow models

Session 1 welcomes, for example, model considerations of water availability vs. percolation rate vs. refreezing rate to explore the importance of heterogeneous percolation modelling in polar firn; fine-and-local scale/detailed modeling with possible suggestions to including bulk effects in larger-scale models; inclusion of piping (for instance, by “skipping layers” during percolation) in distributed or single-column models; inclusion of horizontal water motion in snow and firn, i.e. between grid cells.

Session 2 will focus on discussions of useful model validation metrics and aim to compile observational datasets that may be used to validate the above processes.

Session 3 will discuss and formulate a protocol for a meltwater retention model intercomparison project.
Session 4 serves an ESA Sentinel-3 for Science Land Study: Snow “S-3-Snow” that includes an element to gather and prioritize snow modeller interest and requirements about optical remotely sensed snow parameters (snow extent, albedo, grain size, impurity content, etc.). The ESA study is to engage users of Sentinel-3 snow optical retrievals in 1.) model comparison and/or 2.) data assimilation. Theworkshop session is to:
  • survey and prioritize remotely sensed snow parameter data users’ requirements for global and regional snow information
  • discuss how to enhance methods for estimating snow parameters, either from remote sensing or from modeling, and to evaluate advantages and disadvantages of the different approaches
  • consult users about the utility/interest in other snow products suitable for studying climate-related issues.
Workshop expected outcomes
Venue
Geological Survey of Denmark and Greenland (GEUS), Østervoldgade 10, DK-1350 Copenhagen K
Contributions
Contributions are welcomed in the form of oral presentations and/or posters. Presentation duration will be 15-20 minutes, including discussion. One or more longer invited keynote presentations are planned.
Abstracts and registration
Those intending to attend the workshop should submit abstracts (maximum length 200 words) by email to Peter Langen (pla@dmi.dk) no later than the registration deadline Friday 18 August 2017.  Abstracts should indicate whether an oral or poster presentation is preferred.
Financial support
We are working to raise some financial support for early career scientists to participate in the workshop. Please indicate at registration whether you will request support.
Accommodation
A range of hotels and hostels exist near the workshop location. Public transit is very efficient, including bike rental. Booking these early is recommended due to high demand that may occur.
Hope to see you in Copenhagen, Peter Langen (DMI) and Jason Box (GEUS)

Collocated Sentinel-3 OLCI and SLSTR reflectance imagery

The S3 4Sci Snow research project is gaining momentum, now with scripts that enable batch processing of two important steps: 1.) collocating OLCI and SLSTR imagery, that is, aligning pixels to a common geographic grid and 2.) converting the imagery to top of the atmosphere reflectance.

20160822-s3-band-21-1020-nm-greenland

(above, 22 August 2016 southern Greenland Sentinel-3 scene of TOA reflectance from OLCI band 21, 1020 nm). In this part of the optical spectrum we find strong reflectance differences between fresh snow cover, melting snow and bare ice (dark areas).

The processing chain the project follows is illustrated below. The collocation happens as OLCI and SLSTR radiances are combined.

flow-chart-2017-06-22

2-year post-doctoral position in snow optical remote sensing at LGGE

This project is about monitoring snow properties evolution on the long-term using Sentinel satellite series at global scale. The successful candidates will evaluate and develop retrieval algorithms. The project will more specifically focus on two primary sites, one in Canada and the other one in the French Alps. Secondary sites including Greenland and Antarctica will be exploited for the validation.

Research project

Optical sensors on Sentinel-2 (MSI) and Sentinel-3 (OLCI and SLSTR) provide a new and unique opportunity to investigate the temporal and spatial variability of the snow cover properties at high spatial resolution and on the long-term. The objective of this post-doctoral position is to 1) evaluate global moderate-resolution algorithms for snow cover properties retrieval (snow cover fraction, spectral and broadband albedo, snow specific surface area SSA and light absorbing impurity content) from S-3 images developed by other parties and 2) develop and evaluate high- resolution algorithms adapted to complex terrains from S-2. The second objective is interesting by itself and will also provide validation data for the first objective on specific sites.

The general evaluation will use data from many sites around the world where in-situ observations are available (Alps, Arctic, EGRIP in Greenland, Dome C in Antarctica, …). The second objective will be especially focused at 2 locations :

    • Umijaq area in Canadian Arctic where the interest is on monitoring snow-vegetation interactions in relationship with climate change, greening and permafrost evolution.
    • Col du Lautaret in the French Alps which features complex terrain and potential high human impact. The interest is in following the evolution of snow impurities and induced changes in snow physics at the site which is largely impacted by Saharan dust deposition events as well as providing data for snow-vegetation interaction.

These two sites have been equipped with specific instrumentation dedicated to snow monitoring (including in situ spectral reflectance measurements, SSA and light absorbing impurities measurements).

The work plan includes :

    • Adapting atmospheric and topographic corrections existing algorithms to S-2 and S-3 images (MODINLAB by Sirguey et al., 2009 ; Dumont et al., 2012)
    • Developing snow cover fraction, snow SSA, light absorbing impurities content, snow spectral and broadband albedo based on methodology for S2 proposed in Dumont et al., 2012 ; Kokhanovsky and Zege, 2004, Malinka, 2014 and Picard et al., 2016.
    • Participating in field measurements campaigns at Col du Lautaret, Umijaq and possibly EGRIP.
    • Evaluate the accuracy of the proposed algorithms at the two sites
    • Evaluate the accuracy of available moderate-resolution algorithms at the two sites and at other sites where in-situ data are available.
    • Investigate the temporal and spatial variability of the snow cover properties for theses locations in relationship to the specific scientific objectives.

Within this project, special attention will be drawn to the effect of terrain complexity on the accuracy of the surface reflectance and the effect of snow surface roughness on retrieved surface reflectance and snow properties.

Progresses and results shall be documented in project reports. As part of the scientific dissemination it is also expected that the postdoc present results in scientific journals and at international conferences.

This work will contribute to two projects; one funded by the European Space Agency (PI Jason Box, GEUS, Danemark) and the other one by the BNP Paribas fundation (PI Florent Dominé, Takuvik, U. Laval, Canada). The position is based in Grenoble, a place known for its excellence in snow science, but also implies strong international collaborations with colleagues in Canada, Germany and Denmark.

Position summary

Full-time temporary employment. The position is funded for 24 months from January 2017 to December 2018.

Qualifications

To qualify as a candidate for the postdoc position you must have a Ph.D. degree with strength in remote sensing, snow optics and physics or related disciplines and you must have a solid theoretical background in mathematics, physics, statistical analysis and programming. A genuine interest and curiosity in the field measurements campaigns and excellent programming skills (e.g. python) are needed. Experience in processing and analysis of data from satellites, in situ measurements or snow models is regarded as an advantage for the position. The position requires good verbal and written communication skills in English, as most of the work will take place in an international environment. An initial scientific publication record is expected.

Contacts

Ghislain Picard (ghislain.picard@univ-grenoble-alpes.fr)

Marie Dumont (marie.dumont@meteo.fr)