Science Team Member Summaries
Kenneth Jezek, Science Team MemberByrd Polar Research CenterThe Ohio State Universityjezek.email@example.com 292 7973Project ResponsibilitiesYear 1: Science Team lead for ice sheetsUpdate Science requirements contribution to science planDevelop calibration Validation plans Oversee flight planning for Greenland and AntarcticaFoster discussion about hypothesis driven missionsYear 2 Science Team MemberEvaluate options for moving from nadir ice sounding measurements to swath measurements of ice thickness and basal reflectivity.Radar data validationContribute to flight planningYear 3 Science Team MemberRadar data validationContribute to flight planningAssist with an evaluation of Icebridge progress in fulfilling science requirements
Research Goals with DLRYear 1Investigate TSX and R2 polarimetric applications to ice sheet surface propertiesBegin using TSX velocities to compute mass fluxes from Antarctic outlet glaciers.Year 2Combine IceBridge topography and thickness data with TSX velocities to identify the important stresses controlling outlet glacier flowYear 3Conclude measurements of outlet glacier stress patterns and determine what insight these provide for future ice sheet behaviorDana Floricioiu, Proposal PartnerGerman Aerospace Center Remote Sensing Technology Institute Tel: +49 8153 28 1763 firstname.lastname@example.org
IceBridge Observations of Fast Glaciers of the Polar Ice Sheets
Optimizing Airborne Observations of Sea Ice Thickness and Snow Depth through the Integration of Additional Data SetsJackie Richter-Menge and Thorsten MarkusGoal : Optimize IceBridge sea ice results by leveraging othernational and international activities and assets
Specific objectives: Identify potential cal/val opportunities Interface with in-situ data collection efforts to:i) Optimize types of variables collected and the data managementii) Optimize measurement strategies addressing differences in spatial and temporal scales
Sea Ice Team Leader: Oversee team efforts to provide expert scientific guidance in areas of flight line planning, measurement strategies, data quality control, and data product development Update IceBridge Level 1 requirements (complete by 12/2010) Consider operational (versus climatological) applications
R. Kwok IceBridge Science Team Member
Service as a member of the IceBridge Science Team (IST) member Specifically, as a science team member, I will provide scientific input to the IceBridge project in the areas of flight line planning, measurement strategies, data quality control, and data product development. I will contribute to: the development of the IceBridge Science Definition Document and Level-1 Scientific Requirements Document; the evaluation of the IceBridge mission designs in achieving the goals defined by the Science Definition Document and Level-1 Scientific Requirements Document; andsupport to the IceBridge Program Scientist and Project Scientist in the development of the required analyses, documentation, and reporting during the IceBridge mission. Utilizing the IceBridge data for sea ice investigations
With the over-arching goal of establishing, extending, and linking the ICESat-I sea ice thickness estimates through the CryoSat-2 mission to the launch of ICESat-II (~2015), I plan to use the IceBridge data for the following purposes:Compare/cross-calibrate the ICESat-I freeboard and thickness data with the IceBridge estimates acquired during the Spring of 2009.Assess the use of IceBridge flight lines for estimates of the changes in the Arctic Ocean ice cover in the absence of basin-scale coverage. Examine the use of the snow depth radar for providing estimates of snow depth and snow loading along co-incident lidar and radar flight lines.Explore the utility of the IceBridge acquisitions for characterization of the Southern Ocean ice cover.Ron Kwok Jet Propulsion Laboratory California Institute of Technology 4800 Oak Grove Dr Pasadena, CA 91109 email: email@example.com Ph: 818 354-5614 Cell: 818 359-48
Investigation of optimal flight lines for bedrock samplingSpecific objectives are to investigate with a full Stokes model:what matters? Assess the influence of variations in basal topography and slipperiness on ice flow.how well? Assess the spatial sampling required to capture the bedrock information.Sophie NowickiNASA Goddard Space Flight CenterCode 614.1, Greenbelt, Maryland 20771. E: sophie.nowicki @ nasa.gov Tel: 301.614.5458Goal: Investigate the type of bedrock features that IceBridge measurements should aim to capture for ice sheet models.As a science team member, I will also interface with the ice sheet modeling community (ex: SeaRISE group) and CryoSat2 group.
Ron Lindsay, sea ice team Polar Science Center Applied Physics Laboratory University of WashingtonPlanned contributions to the team include:Help with flight line planning, data evaluation, snow depth measurements, and data formatting and distribution recommendations. Use model simulations to evaluate the ability of specific flight lines to answer specific science questions and evaluate their potential to improve sea ice predictions.Add IceBridge sea ice thickness data to the new Unified Sea Ice Thickness Climate Data Record (psc.apl.uw.edu/sea_ice_cdr) so it is readily available alongside submarine, moored, ICESat-1and other airborne measurements.Use all the ice thickness data, including those from IceBridge, to form a calibrated ice thickness data record that is complete in time and space, effectively interpolating the sparse observations to all locations within the Arctic ocean.
IceBridge Observations of Sea Ice Thickness, Structure, and Volume Change: Bringing a NOAA ViewpointPI: Dave McAdoo Co-I: Laurence N. Connor, Collaborators: S.L. Farrell, P. Clemente-ColonScience Focus:
IceBridge can augment the exploitation of ICESat and Envisat and now the nascent Cryosat-2 time series of sea ice freeboard observations to better estimate ice structure and thickness in the Arctic Ocean and in the Antarctic. IceBridge will enhance the utility of synoptic mappings of Arctic sea ice observations provided now and in the near future by Envisat and CryoSat-2, and in the recent past by ICESat. Strategy Specifics:
(1) Continue annual repeat series of Enivsat RA-2 IceBridge underflight lines that began in 2006 in the eastern Canada Basin [Figure A]
(2) Build annual repeat time series of CryoSat-2 underflights which began with IceBridge observations of April 20, 2010 [Figure B]
(3) Maintain annual repeat series similar to (1) and (2) above along ICESat-1 line in the Canada Basin (northern Beaufort Gyre region)
(4) Reprocess IceBridge Sanders gravity in (1), (2) and (3) above to extract along-track geoid slopes. Estimate along-track meso-scale (15 to 300km wavelength) variations in sea surface topography jointly with along-track ice freeboard fluctuations. Figure AFigure B
Eric Rignot, Department of Earth System Science,University of California, IrvineGoals as a member of the Science Team: Provide expertise in ice motion mapping, mass budget estimation, low-frequency radio echo sounding, NASA/CECS and PARCA deployments, and numerical modeling of ice-ocean interactions and ice sheet flow to define the IceBridge Science Definition and Scientific Requirement Documents, help prioritize regions to be surveyed and detailed flight tracks, instrument combination, and density of observations that will provide the highest science return per cost and highest gain in knowledge versus past knowledge. Applications: We will support the IceBridge Program Scientist and Project Scientist to document improved scientific understanding of ice sheets as a result of IceBridge data, with a focus on 3 areas: Improved determination of perimeter ice fluxes into the ocean in Greenland and Antarctica for mass balance assessment; Improved characterization of ice-ocean interactions (sub-acqueous melt rates) in Greenland and Antarctica;improved understanding of rapid changes in ice dynamics in critical sectors, e.g. northwest Greenland, Jakobshavn, Northern Peninsula and Pine Island Bay.
S.B. Luthcke OIB Research Responsibility
Develop and provide local, tailored GRACE hi-res mascon solutions to support OIB mission planning and data analyses efforts.
Advance ICESat-1 observations of ice sheet evolution through improved accuracy and error characterization. Use OIB observations directly and in combination with rigorous simulations to improve ICESat-1. Data corrections (e.g. pointing and ranging biases)Measurement modeling and observation algorithms (e.g. improved repeat track and xovers)dh/dt estimation algorithms (e.g. Optimal Anisotropic Non-Symmetric Filters using improved signal and noise covariance).Estimates of systematic and sampling errors.Combination solutions with other data such as GRACE.
Fully characterize the performance of future spaceborne instruments, and refine and optimize designs and data reduction algorithms.Specifically targeted at ICESat-2 and DESDynI-LidarUse OIB observations to develop detailed measurement models and simulations.Fully characterize and quantify error sources to focus mission design and development on those areas of importance and to significantly improve mission trade space assessment. Further develop and refine observation and solution estimation algorithms.
Leverage the analyses and results from above to develop the methods and algorithms, and the observational data to support the inter-calibration of ICESat-1, ICESat-2 and DESDynI-Lidar.
Finally, what can OIB and future airborne missions do for GRACE, GRACE-FO (validation when using tailored hi-res mascon solutions), and GRACE-II which promises much higher spatial resolution and accuracy?