an environmental model repository: case studies applied to sierra nevada lter site
TRANSCRIPT
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8/4/2019 An environmental model repository: Case studies applied to Sierra Nevada LTER site
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K
EPLER
An environmental model repository: Case studies applied
to Sierra Nevada LTER site.Prez-Prez, R.; Benito, B.M.; Bonet-Garca, F.J.; Prez-Luque, A.J.iEcolab - Laboratorio de Ecologa. Centro Andaluz de Medio Ambiente. Universidad de Granada. SPAIN. [email protected]
MODISpixel
Juniper
cuadrat
Meteo
station
Municipality
in each of these
spatial entities
monitoring methods
are applied to
obtain
Real world
Raw
data
that are stored
in relational
databases,
obtaining
Queryable
information
Nosystematicanalyses,
that create
Reports,
slides,
videos, etc.
A scientific
workflow
management
system
that
creates
Pressure,
response
and state
indicators
Systematic
analyses
run through
that is converted
into useful
knowledge
through two
different routes
that is properly
documented using two
international
metadata standards
Ecologicalmetadatalanguage(EML) Inspire
directive
(ISO 19115)
Data
Knowledge
WisdomInfo
rmation
LinariaInformation System
Objectives
Development a system that we allow set themetadata for environmental models.
Delegate the execution of a workflow that implementan environmental model.
Use the raw data of an Information System. Feedback of results on environmental model to
Information System.
General
Descriptio
n
ParametersData
conexion Steps
OutputData
Metadata
on modelsKepler
A scientific workflowmanagement
500m500m
1
77980
cell_id; maximum_snow_extent; eight_day_snow_cover1; 0:missing_data; 00100011;
25: no_snow; (snow on first,200: snow; second and
sixth day)
STEP 1: generate csv (tar.gz) with data for earch cell
Web Services
Raw data handling to generate both information andknowledge is a frequent process in the LTER-sites.
We call a model to the steps required to transform
raw data.
ModeleR, is a model repository accessible from the
web, which enables the user to design, document,
manage, and execute environmental models:
Metadata about the different steps to transform thedata.
Manage the workflows of Kerpler for automatizethe proccess.
1. Introduction and Objectives
Cell_id; date; maximum_snow_extent
Spacial entity; set of cell_id
EML
STEP 2: Aggregate raw data to obtain differens indicators
entity_id; year; durationentity_id; year; start; end
CSV
SnowpackstatusinSierraNevada
OAPN
Autonomous Organismof National Parks
Rediam
Environmental Information
Network of Andalusia
8
daily every month
It processed each email and different formatsare converted to only format
Variable_id; description; code
estation_id; estation_codeEML
CSV "2011-09-21 06:10:00",3996,"PSN01",12.22,80.1,0.048"2011-09-21 06:20:00",3997,"PSN01",12.63,81.8,0.519
KEPLER
Raw
datacomingfrommeteo
rological
stationslocatedinSierraN
evada
Meteorological Stations