This ppt describes my scientific activities over the last few years. It is of interest for scientists and engineers how want to know more about long-term ice jams dynamics and physical impacts. Please contact me for more info:
boucher@cerege.fr
DSD-INT 2017 Use of RIBASIM in Lesotho - PasschierDeltares
Presentation by Ron Passchier (Deltares) at the River Basin Planning and Modelling symposium, during Delft Software Days - Edition 2017. Wednesday, 25 October 2017, Delft.
DSD-INT 2016 SUB-CR: an improved subsidence package - Erkens, KooiDeltares
Presentation by Gilles Erkens and Henk Kooi (Deltares) at the iMOD International User Day, during Delft Software Days 2016. Tuesday 1 November 2016, Delft.
Objectives:
- Determine how soil moisture and nutrients regulate microbial C-use efficiency (CUE)
- Develop mathematical functions that can be incorporated into earth system models
- Improve our ability to predict the impact of climate change on soil C-sequestration in agricultural systems
Conclusions
• Studyingthecurrentstateofsub-seapermafrost is of critical importance in order to elucidate the time scale of the ongoing process;
• Giventhatspatialandtemporalvariabilityof methane releases is very high, this underscores importance of establishing monitoring network over the ESAS;
• ConsideringthesignificanceoftheESAS methane reservoir and enhancing mechanism of its destabilization, this region should be considered the most potential in terms of possible climate change caused by abrupt release of methane.
DSD-INT 2017 Use of RIBASIM in Lesotho - PasschierDeltares
Presentation by Ron Passchier (Deltares) at the River Basin Planning and Modelling symposium, during Delft Software Days - Edition 2017. Wednesday, 25 October 2017, Delft.
DSD-INT 2016 SUB-CR: an improved subsidence package - Erkens, KooiDeltares
Presentation by Gilles Erkens and Henk Kooi (Deltares) at the iMOD International User Day, during Delft Software Days 2016. Tuesday 1 November 2016, Delft.
Objectives:
- Determine how soil moisture and nutrients regulate microbial C-use efficiency (CUE)
- Develop mathematical functions that can be incorporated into earth system models
- Improve our ability to predict the impact of climate change on soil C-sequestration in agricultural systems
Conclusions
• Studyingthecurrentstateofsub-seapermafrost is of critical importance in order to elucidate the time scale of the ongoing process;
• Giventhatspatialandtemporalvariabilityof methane releases is very high, this underscores importance of establishing monitoring network over the ESAS;
• ConsideringthesignificanceoftheESAS methane reservoir and enhancing mechanism of its destabilization, this region should be considered the most potential in terms of possible climate change caused by abrupt release of methane.
Evaluating and communicating Arctic climate change projectionZachary Labe
20 February 2023…
Climate Change and Agriculture Guest (Presentation): Evaluating and communicating Arctic climate change projections, Kansas State University, USA.
References...
Delworth, T. L., Cooke, W. F., Adcroft, A., Bushuk, M., Chen, J. H., Dunne, K. A., ... & Zhao, M. (2020). SPEAR: The next generation GFDL modeling system for seasonal to multidecadal prediction and projection. Journal of Advances in Modeling Earth Systems, 12(3), e2019MS001895, https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2019MS001895
Labe, Z.M. and E.A. Barnes (2022), Comparison of climate model large ensembles with observations in the Arctic using simple neural networks. Earth and Space Science, DOI:10.1029/2022EA002348, https://doi.org/10.1029/2022EA002348
Labe, Z.M., Y. Peings, and G. Magnusdottir (2020). Warm Arctic, cold Siberia pattern: role of full Arctic amplification versus sea ice loss alone, Geophysical Research Letters, DOI:10.1029/2020GL088583, https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2020GL088583
Peings, Y., Cattiaux, J., Vavrus, S. J., & Magnusdottir, G. (2018). Projected squeezing of the wintertime North-Atlantic jet. Environmental Research Letters, 13(7), 074016, https://iopscience.iop.org/article/10.1088/1748-9326/aacc79/meta
The Record of Sea Level Change From Satellite Measurements: What Have We Lea...dallasmasters
2005 American Geophysical Union Bowie Lecture: The Record of Sea Level Change From Satellite Measurements: What Have We Learned? presented by Professor R. Steven Nerem of the University of Colorado at Boulder.
On 17/10/2013 TU Delft Climate Institute organised the symposium The Greenland and Antarctic ice sheets: present, future, and unknowns. This is one of the four presentations given there.
http://www.tudelft.nl/nl/actueel/agenda/event/detail/symposium-tu-delft-climate-institute-17th-october-2013/
Substantial disagreement continues between modeling studies in attributing midlatitude climate extremes to Arctic sea-ice anomalies. This is a result of uncertainties due to internal variability, nonlinear interactions, model biases, or more likely a combination of these effects. In this study, we use large ensembles from two high-top atmospheric general circulation models (SC-WACCM4 and E3SM) to separate the sea ice-forced signal from atmospheric internal variability (noise). Following protocol for the Polar Amplification Model Intercomparison Project (PAMIP), each simulation is prescribed with either pre-industrial, present-day, or future levels of sea-ice concentration, which are associated with global warming projections of 2°C. We use 300 ensemble members per simulation to obtain large sample sizes for robust statistics in the context of internal variability.
While an equatorward shift of the eddy-driven jet is found in boreal winter, the response to future sea-ice loss is small relative to climatology and highly sensitive to the number of ensemble members considered. On average, a sea ice-forced signal in the large-scale circulation cannot be distinguished from atmospheric internal variability in our simulations. A low signal-to-noise ratio is also demonstrated in the stratosphere, where the sign of the polar vortex response can be interpreted differently depending on the ensemble size. However, the local thermodynamic effects are statistically significant with strong surface warming and increases in precipitation found in the vicinity of newly ice-free areas. This warming is generally confined to the Arctic, and there is little response in the midlatitudes. Our results highlight the important role of internal variability in the extratropics and emphasize the need for especially large ensembles (>150-200 members) when assessing the dynamical response to both present-day and future Arctic sea-ice loss. (from https://ams.confex.com/ams/2020Annual/meetingapp.cgi/Paper/367289)
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Brief overview of career options in cybersecurity for technical communicators. Includes discussion of my career path, certification options, NICE and NIST resources.
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Resumes, Cover Letters, and Applying OnlineBruce Bennett
This webinar showcases resume styles and the elements that go into building your resume. Every job application requires unique skills, and this session will show you how to improve your resume to match the jobs to which you are applying. Additionally, we will discuss cover letters and learn about ideas to include. Every job application requires unique skills so learn ways to give you the best chance of success when applying for a new position. Learn how to take advantage of all the features when uploading a job application to a company’s applicant tracking system.
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River ice jams : risk evaluation, driving conditions and geomorphological impacts documented from tree-rings, Necopastic River Canada
1. Étienne Boucher (LAVAL) Yves Bégin (INRS-ETE) Dominique Arseneault (UQAR) River Ice Jams Risk evaluation, driving conditions and geomorphological impacts documented from tree-rings Necopastic River, James Bay Contact: [email_address]
2. Introduction River ice breakup: a crucial moment in the annual cycle of high-latitude rivers Mechanical breakups Thermal breakups [email_address]
7. Study site: the Necopastic River (250km²) -Undisturbed -Homogeneous lithology -Constant density of forest stands -Frequent ice-scouring events / but not destructive -Climatically homogeneous Many advantages -Winter breakup = rare [email_address]
8. Amont: 15 sites Mi-bassin: 16 sites Aval: 7 sites = Ice scouring activity = No ice scouring activity Study site: the Necopastic River (250km²) [email_address]
9. = Ice scouring activity = No ice scouring activity Study site: the Necopastic River (250km²) Upper basin: 15 sites Mid-basin: 16 sites Lower-basin: 7 sites [email_address]
10. Methods At each site: 1) Quantifying geometric properties of river channel [email_address]
11.
12. Methods At each site 3) Dendrochronological sampling [email_address]
15. Sensitive Insensitive RFS (Radius at the First Scar) 2) Stem selection (sensitivity) 1) Site selection Methods (dendrochronological principles) [email_address]
16.
17.
18. > The intensity of a an ice-jam at year « t » ( I t ) is calculated from the proportion sites recording an event that year Methods (dendrochronological principles) [email_address]
20. Discharge (m³) Time Hydro-climatic analysis of the tree-ring series END of hydrograph recession (d) DUR_REC Duration of recession (t) DUR_RISE Duration of rise (t) PEAK Peak discharge (m³ s -1 ) DTE_PEAK Date of flood peak (d) START of hydrograph rise (d) VOL Flood volume (m³) VOL_RISE Volume during rising limb (m³)
21. Hydro-climatic analysis of the tree-ring series [email_address] Time resoltution Variable Dimensions Period Spatial scale TEMPERATURES Source: IREQ, HQ / D. Tabsoba Monthly T_min, T_max, T_mean °C 1960-2003 LG-1 PRECIPITATION Source: IREQ, HQ/ D. Tabsoba Montlhy Total precipitation (PREC) cm / day 1960-2003 LG-1 SNOW COVER Source: IREQ, HQ / D. Tabsoba Monthly Height (H) cm 1950-2003 LG-1 Monthly Water equivalent (SWE) cm 1950-2003 LG-1 Monthly Density (DENS) Kg / m³ 1950-2003 ARCTIC OSCILLATION Source: NOAA (bi) Montlhy (March-April) Index (AO) - 1950-2003 Northern Hemisphere
22. -CART modelling Hydro-climatic analysis of the tree-ring series -80% of all years (1950-2003, N=54) are well simulated with three variables [email_address]
23. Fresh snow and cold spring temperatures delay the thermal degradation of the ice Arctic Oscillation (positive phase) Hydro-climatic analysis of the tree-ring series [email_address] + -
24. Intense ice-scouring No ice-scouring Early and « flash » floods Favor intense mechanical breakups Hydro-climatic analysis of the tree-ring series [email_address]
25. Geomorphological impact Does it vary as a function of ice-jam frequency? [email_address] Frequency = 9 events / (2008-1975) = 0,27 year -1 ~ One event each three year 2008 1978 1982 1988 1991 1995 2000 2003 2007 2008 1975 Site X