VÍCTOR MANUEL PALACIOS FERMOSO
Tutor: GERARDO SANZ
TECHNIQUES OF SNOWPACK ASSESSMENT AND AVALANCHES
TECHNIQUES OF SNOWPACK ASSESSMENT AND AVALANCHES
TECHNIQUES OF SNOWPACK ASSESSMENT AND AVALANCHES
TECHNIQUES OF SNOWPACK ASSESSMENT AND AVALANCHES
OPERATIONAL WEATHER PREDICTION TOOLS
OPERATIONAL WEATHER PREDICTION TOOLS
OPERATIONAL WEATHER PREDICTION TOOLS
OPERATIONAL WEATHER PREDICTION TOOLS
VALIDATION OF SNOWPACK ASSESSMENT SIMULATION MODELS
VALIDATION OF SNOWPACK ASSESSMENT SIMULATION MODELS
VALIDATION OF SNOWPACK ASSESSMENT SIMULATION MODELS
VALIDATION OF SNOWPACK ASSESSMENT SIMULATION MODELS
16
16
16
16
TH TH TH TH PROJECTPROJECTPROJECTPROJECTAVALANCHE PREDICTION IMPROVEMENT
Fellowship activities
Fellowship activities
Fellowship activities
Fellowship activities
Nivology and avalanches training
Collaboration on:
•
improvement of available information
for operative forecast
•
development and validation of
snowpack simulation model
Monitoring and checking of avalanches operative prediction tools
1. Avalanches and mountain theoretical training; information,
bibliography and Aemet territorial office in Aragón staff.
2. Practical training: avalanche and meteorological observers course
Fellowship activities
Fellowship activities
Fellowship activities
Fellowship activities
Monitoring and checking of avalanch operative prediction tools
Analysis of observation data quality
Collaboration on:
• improvement of available information for operative forecast
• development and validation of snowpack simulation model
1.
1.
1.
1. Avalanche and mountain theoretical training; information, biblio
Avalanche and mountain theoretical training; information, biblio
Avalanche and mountain theoretical training; information, biblio
Avalanche and mountain theoretical training; information, bibliography and
graphy and
graphy and
graphy and
Aemet territorial office in Arag
Aemet territorial office in Arag
Aemet territorial office in Arag
Aemet territorial office in Aragó
ó
ó
ón staff.
n staff.
n staff.
n staff.
•
Snow formation and evolution . Grain types
Snow formation and evolution . Grain types
Snow formation and evolution . Grain types
Snow formation and evolution . Grain types
•
Evaluation of avalanche release danger
Evaluation of avalanche release danger
Evaluation of avalanche release danger
Evaluation of avalanche release danger
TRAINING
TRAINING
TRAINING
TRAINING
Fragmented part.
Fresh snow Graupel Surface hoar Faceted crystals Deep hoar
Goblets
ACCIDENTES POR ALUD DE PLACA EN FUNCIÓN DE LA PENDIENTE
( D E 8 0 9 A LUD E S P O R D E S E N C A D E N A M IE N T O H UM A N O E N C A N A D Á Y S UIZ A )
0 50 100 150 200 250 300 350 400
0 10 20 25 30 31 36 38 42 45 48 51 55 60 65 70 80
PENDIENTE DE LA LADERA (º)
N
Ú
M
E
R
O
D
E
A
L
U
D
E
•
Snow measurements: data and its format
Snow measurements: data and its format
Snow measurements: data and its format
Snow measurements: data and its format
–
Nivomet
Nivomet
Nivomet
Nivomet reports
reports
reports
reports ---- Nivomet
Nivomet
Nivomet
Nivomet Key:
Key: 219//
Key:
Key:
219//
219//
219//
20000 10220 29040 70000
20000 10220 29040 70000
20000 10220 29040 70000
20000 10220 29040 70000
…
…
…
…....
•
Avalanche and meteorological observers course (
Avalanche and meteorological observers course (
Avalanche and meteorological observers course (Benasque
Avalanche and meteorological observers course (
Benasque
Benasque
Benasque, January 31st
, January 31st –
, January 31st
, January 31st
–
–
– February
February
February
February
3rd 2012).
3rd 2012).
3rd 2012).
3rd 2012).
2. Practical training
2. Practical training
2. Practical training
2. Practical training
TRAINING
TRAINING
TRAINING
1. Available software for the management and running of snow
observation data in the operative enviroment.
2. Evaluation of use possibilities and adaptation to Aemet needs.
Fellowship activities
Fellowship activities
Fellowship activities
Fellowship activities
Nivology and avalanches training
Monitoring and checking of avalanch operative prediction tools
Analysis of observation data quality
Collaboration on:
• improvement of available information for operative forecast
1. Available software for the management and running of snow obs
1. Available software for the management and running of snow obs
1. Available software for the management and running of snow obs
1. Available software for the management and running of snow observation data in the
ervation data in the
ervation data in the
ervation data in the
operative environment
operative environment
operative environment
operative environment
• Canada
• Paid
• xml format
• EE.UU.
• Free software
• xlm and gml format • Italy
• Free software
• mdb format
AVALANCH OPERATIVE PREDICTION TOOLS
AVALANCH OPERATIVE PREDICTION TOOLS
AVALANCH OPERATIVE PREDICTION TOOLS
AVALANCH OPERATIVE PREDICTION TOOLS
• Assessment of software possibilities of generating standard form
Assessment of software possibilities of generating standard form
Assessment of software possibilities of generating standard format data.
Assessment of software possibilities of generating standard form
at data.
at data.
at data.
• Warehousing and exchange formats for snowpack measurements data:
Warehousing and exchange formats for snowpack measurements data:
Warehousing and exchange formats for snowpack measurements data: snow pit and
Warehousing and exchange formats for snowpack measurements data:
snow pit and
snow pit and
snow pit and
stability test.
stability test.
stability test.
stability test.
2. Evaluation of use possibilities and adaptation to
2. Evaluation of use possibilities and adaptation to
2. Evaluation of use possibilities and adaptation to
2. Evaluation of use possibilities and adaptation to Aemet
Aemet
Aemet needs
Aemet
needs
needs
needs
Software YETI ( AINEVA
Software YETI ( AINEVA
Software YETI ( AINEVA
-AVALANCH OPERATIVE PREDICTION TOOLS
AVALANCH OPERATIVE PREDICTION TOOLS
AVALANCH OPERATIVE PREDICTION TOOLS
Fellowship activities
Fellowship activities
Fellowship activities
Fellowship activities
Nivology training
Collaboration on:
• improvement of available information for operative forecast
• development and validation of snowpack simulation model
OBSERVATION DATA
OBSERVATION DATA
OBSERVATION DATA
OBSERVATION DATA
Snow episodes database.
Snow episodes database.Snow episodes database.
Snow episodes database. NIMET data. NIMET data. NIMET data.
NIMET data. Snow profile databaseSnow profile databaseSnow profile databaseSnow profile database Danger level compilationDanger level compilationDanger level compilationDanger level compilation
Monitoring and checking of avalanche operative prediction tools
1. Monitoring of the most important snow episodes in the Aragonese
and Navarre Pyrenees. Creation of database.
2. Revision and checking of the NIMET reports data provided by the
mountain shelters and ski resorts.
Analysis of observation data quality
Snow episodes database. Snow episodes database.Snow episodes database. Snow episodes database.
NIMET data. NIMET data. NIMET data.
1. Monitoring of the most important snow episodes in the
1. Monitoring of the most important snow episodes in the
1. Monitoring of the most important snow episodes in the
1. Monitoring of the most important snow episodes in the Aragonese
Aragonese
Aragonese
Aragonese and Navarre
and Navarre
and Navarre
and Navarre
Pyrenees.
Pyrenees.
Pyrenees.
Pyrenees.
OBSERVATION DATA
OBSERVATION DATA
OBSERVATION DATA
OBSERVATION DATA
• Creation of a relevant snow episodes database to: Creation of a relevant snow episodes database to: Creation of a relevant snow episodes database to: Creation of a relevant snow episodes database to:
o making seasonal reports editing easier. making seasonal reports editing easier. making seasonal reports editing easier. making seasonal reports editing easier.
o providing study cases and patterns identification by technical sproviding study cases and patterns identification by technical sproviding study cases and patterns identification by technical sproviding study cases and patterns identification by technical staff.taff.taff.taff.
• Prediction support as snow and meteorological episodes database Prediction support as snow and meteorological episodes database Prediction support as snow and meteorological episodes database Prediction support as snow and meteorological episodes database to providing information about the to providing information about the to providing information about the to providing information about the snowpack evolution from the beginning of the season.
2. Revision and checking of the NIMET reports data provided by t
2. Revision and checking of the NIMET reports data provided by t
2. Revision and checking of the NIMET reports data provided by t
2. Revision and checking of the NIMET reports data provided by the mountain shelters and
he mountain shelters and
he mountain shelters and
he mountain shelters and
ski resorts.
ski resorts.
ski resorts.
ski resorts.
• Variables evolution graphs: snowpack Variables evolution graphs: snowpack Variables evolution graphs: snowpack Variables evolution graphs: snowpack assessment
assessment assessment assessment
1. Generation of the stratigraphic profile from the snow pits of the
current season.
2. Study of the data from the snow profiles of this season and previous
ones.
3. Collaboration with the Pyrenaic Institute of Ecology of the University of
Zaragoza (planned).
Analysis of observation data quality
Snow episodes database. Snow episodes database. Snow episodes database. Snow episodes database.
NIMET data NIMET data NIMET data
NIMET data Snow profile databaseSnow profile databaseSnow profile databaseSnow profile database Danger level compilationDanger level compilationDanger level compilationDanger level compilation
1. Generation of the
1. Generation of the
1. Generation of the
1. Generation of the stratigraphic
stratigraphic
stratigraphic
stratigraphic profile from the snow pits of the current season
profile from the snow pits of the current season
profile from the snow pits of the current season
profile from the snow pits of the current season
Weekly reception of the snow Weekly reception of the snow Weekly reception of the snow Weekly reception of the snow pits made in the mountain pits made in the mountain pits made in the mountain pits made in the mountain shelters and ski resorts shelters and ski resorts shelters and ski resorts shelters and ski resorts
Generation of the Generation of the Generation of the Generation of the stratigraphicstratigraphicstratigraphicstratigraphic profile in an Excel spreadsheet profile in an Excel spreadsheet profile in an Excel spreadsheet profile in an Excel spreadsheet
Participation in the study of the Participation in the study of the Participation in the study of the Participation in the study of the snowpack stability as support in snowpack stability as support in snowpack stability as support in snowpack stability as support in the forecast of avalanches danger the forecast of avalanches danger the forecast of avalanches danger the forecast of avalanches danger level
2. Study of the data from the snow profiles of this season and p
2. Study of the data from the snow profiles of this season and p
2. Study of the data from the snow profiles of this season and p
2. Study of the data from the snow profiles of this season and previous ones.
revious ones.
revious ones.
revious ones.
• Warehousing in a database. Future integration in the national daWarehousing in a database. Future integration in the national daWarehousing in a database. Future integration in the national daWarehousing in a database. Future integration in the national database. tabase. tabase. tabase.
• Study, applied to the Pyrenees, of the relationships between theStudy, applied to the Pyrenees, of the relationships between theStudy, applied to the Pyrenees, of the relationships between theStudy, applied to the Pyrenees, of the relationships between the analizedanalizedanalizedanalized variables and the crystal variables and the crystal variables and the crystal variables and the crystal typology of the snowpack:
typology of the snowpack: typology of the snowpack:
• AppearenceAppearenceAppearence frecuencyAppearencefrecuencyfrecuencyfrecuency of grain types in the snowpack. Distribution by months, slope oof grain types in the snowpack. Distribution by months, slope oof grain types in the snowpack. Distribution by months, slope orientation, of grain types in the snowpack. Distribution by months, slope orientation, rientation, rientation, steepness and altitude levels.
steepness and altitude levels. steepness and altitude levels. steepness and altitude levels.
Climatology of the temperature, resistance and density profiles. Climatology of the temperature, resistance and density profiles.Climatology of the temperature, resistance and density profiles. Climatology of the temperature, resistance and density profiles.
1 6
44
26
9 28
24
1 0
0 5 10 15 20 25 30 35 40 45 50
+ λ ● □ Λ ○ ▬ V
Number of observations of crystal grain type in the Aragonese Pyrenees profiles (current season)
1% 4%
32%
19%
6% 20%
17%
1% 0%
Proportion of snowpack crystal grain type
in the Aragonese and Navarre Pyrenee
(current season)
1. Compilation and analisys of the issued danger levels for the Aragonese
and Navarre Pyrenees in the period 2000-2010.
2. Checking of the darnger levels issued in the last season and the
current one.
Analysis of observation data quality
Snow episodes database. Snow episodes database. Snow episodes database. Snow episodes database.
NIMET data NIMET data NIMET data
NIMET data Snow profile databaseSnow profile databaseSnow profile databaseSnow profile database Danger level compilationDanger level compilationDanger level compilationDanger level compilation
1. Compilation and analysis of the issued danger levels for the
1. Compilation and analysis of the issued danger levels for the
1. Compilation and analysis of the issued danger levels for the
1. Compilation and analysis of the issued danger levels for the Aragonese
Aragonese
Aragonese and Navarre
Aragonese
and Navarre
and Navarre
and Navarre
Pyrenees in the period 2000
Pyrenees in the period 2000
Pyrenees in the period 2000
Pyrenees in the period 2000-
-
-
-2010.
2010.
2010.
2010.
• Database Database Database Database ““““NimetNimetNimetNimet””””, which was running until 2007., which was running until 2007., which was running until 2007., which was running until 2007. • Occurrence statistics since 2000. Occurrence statistics since 2000. Occurrence statistics since 2000. Occurrence statistics since 2000.
• Possible participation in the program of issued danger levels cPossible participation in the program of issued danger levels cPossible participation in the program of issued danger levels cPossible participation in the program of issued danger levels comparison between neighbouring omparison between neighbouring omparison between neighbouring omparison between neighbouring countries, which was proposed by
countries, which was proposed by countries, which was proposed by
2. Checking of the
2. Checking of the
2. Checking of the
2. Checking of the darnger
darnger
darnger
darnger levels issued in the last season and the current one.
levels issued in the last season and the current one.
levels issued in the last season and the current one.
levels issued in the last season and the current one.
0 0,5 1 1,5 2 2,5 3 3,5 4 4,5 0 7 /1 1 /2 0 1 0 1 2 /1 1 /2 0 1 0 1 7 /1 1 /2 0 1 0 2 2 /1 1 /2 0 1 0 2 7 /1 1 /2 0 1 0 0 2 /1 2 /2 0 1 0 0 7 /1 2 /2 0 1 0 1 2 /1 2 /2 0 1 0 1 7 /1 2 /2 0 1 0 2 2 /1 2 /2 0 1 0 2 7 /1 2 /2 0 1 0 0 1 /0 1 /2 0 1 1 0 6 /0 1 /2 0 1 1 1 1 /0 1 /2 0 1 1 1 6 /0 1 /2 0 1 1 2 1 /0 1 /2 0 1 1 2 6 /0 1 /2 0 1 1 3 1 /0 1 /2 0 1 1 0 5 /0 2 /2 0 1 1 1 0 /0 2 /2 0 1 1 1 5 /0 2 /2 0 1 1 2 0 /0 2 /2 0 1 1 2 5 /0 2 /2 0 1 1 0 2 /0 3 /2 0 1 1 0 7 /0 3 /2 0 1 1 1 2 /0 3 /2 0 1 1 1 7 /0 3 /2 0 1 1 2 2 /0 3 /2 0 1 1 2 7 /0 3 /2 0 1 1 0 1 /0 4 /2 0 1 1 0 6 /0 4 /2 0 1 1 1 1 /0 4 /2 0 1 1 1 6 /0 4 /2 0 1 1 2 1 /0 4 /2 0 1 1 2 6 /0 4 /2 0 1 1 0 1 /0 5 /2 0 1 1 0 6 /0 5 /2 0 1 1 1 1 /0 5 /2 0 1 1 D a n g e r le v e l Date
Average danger forecast in the Western Pyrenees 2009/1010
Max Min Promedio
• Checking of the concordance between issued danger levels and obsChecking of the concordance between issued danger levels and obsChecking of the concordance between issued danger levels and obsChecking of the concordance between issued danger levels and observed danger levels. erved danger levels. erved danger levels. erved danger levels.
• Tool for valuing the importance of problems like feedback betweeTool for valuing the importance of problems like feedback betweeTool for valuing the importance of problems like feedback betweeTool for valuing the importance of problems like feedback between guides and avalanche forecasters n guides and avalanche forecasters n guides and avalanche forecasters n guides and avalanche forecasters or
or or
or overpredictionsoverpredictionsoverpredictions. (some cases detected in previous seasons)overpredictions. (some cases detected in previous seasons). (some cases detected in previous seasons). (some cases detected in previous seasons)
• Statistics of observed danger levels. Statistics of observed danger levels. Statistics of observed danger levels. Statistics of observed danger levels. 55 29 69 25 77 18 32 33 14 49 52 34 39 36 13 17 37 53 0 10 20 30 40 50 60 70 80 90 d a y s shelter/ski resort Danger level 3-consederable
N ivel de peligro 4-fuerte 7 0 33 0 25 0 8 2 6 21 9 16 11 14 8 3 7 6 0 5 10 15 20 25 30 35 ARR A ARR A
NTALNTALNTALNTALLizaraFurc o
nchúiedra Lago
s musoGórizPinet
a Cerle
r clusa
A.Orú s Estós
n
º
d
ías
Nivel de peligro 1-débil 35 70 0 55 0 55 51 12 5 22 0 2627 17 0 40 37 28 0 10 20 30 40 50 60 70 80
VARR A VARR
A ENTA L ENTA L IEN TAL IEN TAL LizaraFurc
o danchú
a Piedra
Lago s pom
uso Góriz
Pinet a Cerle r encl usa A.OrúsEstós
n
º
d
ía
s
RESPOM USO 2010/2011 (SUR 2180m )
18% 46% 24% 11% 1% 1-débil 2-limitado 3-moderado 4-f uerte 5-muy f uerte
PINETA 2010/2011 (Fondo valle 1200m )
16% 36% 34% 13% 1% 1-débil 2-limitado 3-moderado 4-f uerte 5-muy f uerte
PIRINEO NAVARRO 2010/2011 nive l de pe ligro m áxim o
23% 36% 36% 5% 0% 1-débil 2-limitado 3-moderado 4-f uerte
THANK YOU
FOR YOUR ATTENTION
Photos: internal source
Bibliography pics:“3x3 Avalanchas. La gestión del riesgo en los deportes de invierno” – Werner Munter, Desnivel Ediciones ¡Avalancha!” – Robert Bolognesi, Desnivel Ediciones