Recent evolution of the snow surface in East Antarctica
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1 Nicolas Champollion International Space Science Institute (ISSI) Recent evolution of the snow surface in East Antarctica Teaching Unit (UE) SCI 121 Nicolas CHAMPOLLION The 10 April 2014,, UJF Valence
2 Presentation outline General context & Introduction I. Surface quick changes II. Surface slow evolution III. Surface spatial variations Conclusion & Opening Nicolas Champollion - UE SCI 121 2
3 Presentation outline General context & Introduction I. Surface quick changes II. Surface slow evolution III. Surface spatial variations Conclusion & Opening Nicolas Champollion - UE SCI 121 3
4 General context & Introduction Global warming since Fast, significant & global C since 1900 on average at the earth surface IPCC, 2013 MetOffice, 2013 The most faster and significant since 1000 years 4
5 General context & Introduction anthropogenic warming! IPCC, 2013 Mainly due to the increase of greenhouse gases concentration in the atmosphere (CO 2, CH 4, O 3, ) CO 2 : + 35 % between 1850 and 2010 CH 4 : % between 1850 and 2010 IPCC, 2007 Nicolas Champollion - UE SCI 121 5
6 General context & Introduction Consequences? mean and global sea level rise: m between 1900 and 2010 winter snow cover decrease in north hemisphere summer sea ice extent decrease in Arctic : - 40 % between 1900 and 2010 Increase in global average upper ocean heat content... IPCC, 2013
7 General context & Introduction Mean sea level mean and global sea level rise: m between 1900 and 2010 winter snow cover decrease in north hemisphere summer sea ice extent decrease in Arctic : - 40 % between 1900 and 2010 Bangladesh : 10 % of the land below 1 m high = 10 % of the population => 15 million people... => estimation of sea level rise: to 0.8 m for 2100 MODIS Increase in global average upper ocean heat content... Bangladesh IPCC, 2013 => consequences for Bangladesh???
8 General context & Introduction Google earth Antarctica South pole France : km km Antarctica : km 2 MODIS 8
9 General context & Introduction Antarctica : a huge continent... If we put France at the right scale... 9
10 General context & Introduction cover by 3 km of ice, very flat and desert! IPEV Wikipedia
11 General context & Introduction Antarctica: a huge quantity of ice Jean Louis Etienne Jean Louis Etienne Nicolas Champollion - UE SCI
12 General context & Introduction Actuellement, sous l'effet du réchauffement climatique, le niveau moyen des mers s'élève d'environ 3 mm par an Pourquoi étudier l'antarctique? gain de masse entre 5 et 7 mm de «niveau des mers» par an perte de masse entre 6 et 7 mm de «niveau des mers» par an Pourquoi étudier la surface? échanges d'énergie et de matière Nicolas Champollion - UE SCI
13 General context & Introduction Actuellement, sous l'effet du réchauffement climatique, le niveau moyen des mers s'élève d'environ 3 mm par an Pourquoi étudier l'antarctique? gain de masse entre 5 et 7 mm de «niveau des mers» par an perte de masse entre 6 et 7 mm de «niveau des mers» par an Pourquoi étudier la surface? échanges d'énergie et de matière Dôme C Dumont d'urville Nicolas Champollion - UE SCI
14 Dome C
15 Dome C
16 French - Italian Concordia base (Dome C) - high: 3233 m - latitude : 75 06' S - longitude : ' E - average temperature: 54.5 C - mean windspeed : 10.5 km h -1 - mean accumulation: 10 cm of snow per year Dome C
17 Why following the snow surface evolution? Nicolas Champollion - UE SCI
18 General context & Introduction 25 January 2013, 12h 6 February 2013, 12h in 10 days, the surface aspect changed What are the processes responsible of surface changes? Nicolas Champollion - UE SCI
19 General context & Introduction Surface processes: - precipitation Nicolas Champollion - UE SCI
20 General context & Introduction In the Alps, wikipedia Dome C, Antarctica How do the snow precipitation occur? Nicolas Champollion - UE SCI
21 General context & Introduction Surface processes: - precipitation - wind (erosion, deposition, sublimation, compaction) Nicolas Champollion - UE SCI
22 General context & Introduction Gonneville, Manche, Météo-France Dome C, D. Six Windspeed is never more than 50 km h -1 Mean windspeed is around 10 km h -1 How wind model the snow surface? Nicolas Champollion - UE SCI
23 General context & Introduction Surface processes: - precipitation - wind (erosion, deposition, sublimation, compaction) - hoar formation Nicolas Champollion - UE SCI
24 General context & Introduction 1 cm 1 cm Porte pass, France, L. Arnaud Dome C, Antarctica How form and evolve hoar crystals on the surface? Nicolas Champollion - UE SCI
25 General context & Introduction Surface processes: - precipitation - wind (erosion, deposition, sublimation, compaction) - hoar formation - grain growth / flat surface formation - melt -... Nicolas Champollion - UE SCI
26 General context & Introduction Surface Mass Balance (SMB) SMB = precipitation + snow deposition by the wind + condensation - sublimation - runoff - snow erosion by the wind At Dome C, SMB m of snow per year Near the cost, SMB to 3 m of snow per year At Dôme du Goûter (France), SMB > 3 m of snow per year Arthern, et al., 2006 Nicolas Champollion - UE SCI
27 General context & Introduction Energy exchanges at the surface: - reflexion / absorption of the incident radiance - condensation / sublimation (state changes) - long wavelength emission -turbulence exchange / airing - conduction -... Nicolas Champollion - UE SCI
28 General context & Introduction Surface Energy Budget (SEB) Nicolas Champollion - UE SCI
29 General context & Introduction What is characterizing the snow surface? - kind of crystals present on the surface (form, size,...) - rugosity at different scales 1 m - density m Nicolas Champollion - UE SCI
30 General context & Introduction Only one automatic weather station (temperature, humidity, wind, pressure) for km 2 No snowfall measurement Only few located measurements AMRC, SSEC, UW-Madison Snow surface is not well known and few observed on the Antarctica Plateau Nicolas Champollion - UE SCI
31 General context & Introduction Thesis => Studying the snow surface and its evolution depending on the atmospheric conditions - kind of crystals present on the surface (form, size,...) - rugosity at different scales 1 m - density m Nicolas Champollion - UE SCI
32 General context & Introduction Thesis => Studying the snow surface and its evolution depending on the atmospheric conditions - kind of crystals present on the surface (form, size,...) - rugosity at different scales 1 m density 1 m Nicolas Champollion - UE SCI
33 General context & Introduction Thesis => Studying the snow surface and its evolution depending on the atmospheric conditions - kind of crystals present on the surface (form, size,...) - rugosity at different scales 1 m density Equivalent to the volumetric mass : mass of snow per volume unit, kg m -3 1 m Nicolas Champollion - UE SCI
34 General context & Introduction How is measured the snow density? By weighed a know snow volume Difficulties : - snow weight => OK - snow volume => OK - do not compact the snow - completely fill the volume that we would like to measure - measurement representativity (spatial & temporal) - snow melt - field measurements : cold, wind, access difficulties, - and more difficulties for the surface (no flat, without coherence,...) -... => Measurement uncertainty between 10 and 15 % Nicolas Champollion - UE SCI
35 Presentation outline General context & Introduction I. Surface quick changes II. Surface slow evolution III. Surface spatial variations Conclusion & Opening Nicolas Champollion - UE SCI
36 I. Surface quick changes Quick temporal evolutions are much greater than spatial variations Nicolas Champollion - UE SCI
37 I. Surface quick changes What is responsible of these quick evolutions? hoar crystals formation precipitation wind... Quick temporal evolutions are much greater than spatial variations Nicolas Champollion - UE SCI
38 I. Surface quick changes Pictures of the snow surface (4 m 2 ): - hourly frequency - vertical observation - domain of near-infrared - spotlights during the winter 2 years of data available Nicolas Champollion - UE SCI
39 I. Surface quick changes Nicolas Champollion - UE SCI
40 I. Surface quick changes Why are the pictures red? Nicolas Champollion - UE SCI
41 I. Surface quick changes Why are the pictures red? Pourquoi les photos sont rouges? Visible (eyes) Nicolas Champollion - UE SCI
42 I. Surface quick changes Why are the pictures red? Pourquoi les photos sont rouges? Sensibility zone of the camera Visible (eyes) Nicolas Champollion - UE SCI
43 I. Surface quick changes Hoar automatic algorithm based on the texture analysis of the surface snow pictures in order to detect hoar crystals, no hoar crystals on the surface and cloudy days (Champollion et al., 2013) No hoar Cloudy Nicolas Champollion - UE SCI
44 I. Surface quick changes Temporal evolution of presence / absence of hoar 1 0 Hoar crystals cover the snow surface 45 % of time
45 I. Surface quick changes Hoar formation 15 December December 2012 Hoar formation takes few days No specific conditions in air temperature and humidity are observed during the formation of hoar 18 December 2012 Nicolas Champollion - UE SCI
46 I. Surface quick changes Hoar disappearance 13 January January 2010 Hoar disappearance is fast Hoar disappearance is due to the wind Nicolas Champollion - UE SCI
47 I. Surface quick changes Hoar disappearance 75 All the days All days with hoar disappearance Windspeed increase (2.9 to 4.7 m s-1) or wind origin change (southwest to southeast)
48 I. Surface quick changes Other surface changes Relief evolution on the surface depending on the wind (8 hours in June 2012)
49 I. Surface quick changes Summary Hoar formation : 45% of time Hoar disappearance : high wind (5 m s -1 ) or change in the direction of the wind origin (perpendicular) Fresh snow deposition on hoar crystals: snow accumulation Relief formation on the surface (20 cm in 2 hours) Nicolas Champollion - UE SCI
50 Presentation outline General context & Introduction I. Surface quick changes II. Surface slow evolution III. Surface spatial variations Conclusion & Opening Nicolas Champollion - UE SCI
51 II. Surface slow evolution How can we study the slow evolution of the surface? => in situ measurement impossible because of not enough samples and too small observation period => automatic measurement (picture) impossible because of again too small period now and instrument broken due to hard field conditions (weather, panne, ) Nicolas Champollion - UE SCI
52 II. Surface slow evolution Solution, la télédétection par satellite! Télédétection : observation à distance Thèse => télédétection micro-onde passive Mesure de l'énergie micro-onde émise par le manteau neigeux puis transmise à travers l'atmosphère jusqu'au satellite 52
53 II. Surface slow evolution Solution: satellite remote sensing! Remote sensing: distant observation Problem? Satellite measurement is an energy. However, we are interested by the snow density! Nicolas Champollion - UE SCI
54 II. Surface slow evolution Solution: modeling the satellite observations DMRT-ML: Dense Media Radiative Transfer Multi-Layer (Picard et al., 2013) Electromagnetic theory: emission, absorption and scattering for each layers Interface reflections α Nicolas Champollion - UE SCI
55 II. Surface slow evolution Nicolas Champollion - UE SCI
56 II. Surface slow evolution same order of magnitude for both observations (satellite estimation and in situ measurements) same quick variations & similar pluri-annual trend 56
57 II. Surface slow evolution Important trend: density decrease at Dome C of about 10 kg m -3 y -1 57
58 II. Surface slow evolution Summary Satellite observation modeling => estimation of the snow density near the surface Important decrease of the snow density (10 kg m -3 a -1 ) ou ou Possible physical explanations
59 Presentation outline General context & Introduction I. Surface quick changes II. Surface slow evolution III. Surface spatial variations Conclusion & Opening Nicolas Champollion - UE SCI
60 III. Surface spatial variations Vostok Dome C Between Dome C and Vostok, snow density decrease East of Dome C, snow density increase Nicolas Champollion - UE SCI
61 III. Surface spatial variations Actif F. Rémy, LEGOS Passif
62 Presentation outline General context & Introduction I. Surface quick changes II. Surface slow evolution III. Surface spatial variations Conclusion & Opening Nicolas Champollion - UE SCI
63 Conclusion & Opening Introduction problematic : How evolves the snow surface on the East Antarctica Plateau (hoar crystals, wind, precipitation...)? Snow surface is dynamic at Dome C : hoar presence during almost half percent of the time hoar disappearance due to the wind (windspeed > 3 m s -1 and wind direction at from southwest that is the prevailing direction) relief formation on the surface (20 cm in 2 hours) fresh snow capt by hoar crystals All these processes could have a huge impact on the amount of snow that accumulates per year on the surface (BMS) and on air temperature (BES) Nicolas Champollion - UE SCI
64 Conclusion & Opening Slow density evolution at Dome C: Important and regular seasonal cycle Important snow density decrease of about 10 kg m -3 a -1 for 10 years Spatial variations of the snow density on the Antarctica Plateau: Snow density decrease between Dome C and Vostok, increase at the East of Dome C Spatial variations also observed with an other satellite requirement to understand what is responsible of these temporal and spatial variations of snow density near the surface Nicolas Champollion - UE SCI
65 Conclusion & Opening Antarctica snow surface evolves and it is necessary to understand why! Nicolas Champollion - UE SCI
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