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Environmental Modeling Pedro Ribeiro de Andrade Münster, 2013
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INPE: CONVERTING DATA INTO KNOWLEDGE SATELLITES Earth observation, scientific, and data collection satellites GROUND SYSTEMS Satellite control, reception, processing and distribution of satellite data ANALYSIS AND MODELLING Space Weather, Weather Prediction and Earth System Science SOCIETAL BENEFITS Innovative products to meet Brazil´s needs
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DETER: 15-day alerts of newly deforested large areas Monitoring Deforestation in Amazonia
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Clear-cut deforestation mapping of Amazonia
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What is a model? A model is a simplified representation of a phenomenon, process, actor, system, or any complex entity.
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Examples of models – atom Concept Indivisible entities over which matter is built Model Dalton, 1807 solid sphere Thomson, 1904 plum pudding Rutherford, 1911 Positive nucleus + negative electrosphere Bohr, 1913 Nucleus + electrons with different levels of energy Schrondinger, Pauli Subatomic particles Dalton, 1807Thomson, 1904Rutherford, 1911 Bohr, 1913
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Examples of models – Shape of the Earth Concept Place where we live. Environment. Model Flat archaic belief Spherical Pythagoras ( AD 570) Suggested that Earth could be spherical Aristotle ( AD 330) First evidence: semi-circular shadow at moon Eratosthenes ( AD 240) First estimate of Earth’s circumference Mathematics Scotsman McLaurin (1742) Flat Carl Jacobi (1834) Elipsoidal Henri Poincaré (1885) Periform Dynamic Modern geodesy FlatSphericEllipsoidPeriform Dynamic geoid
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Earth – Our Environment
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Dynamic Models Source: Miller and Page 2005? F(S) f(s) Time tTime t + 1 World Model E(S) S s
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f(s) Dynamic Models ? 19972007 World Modell S ??
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Why modeling? Understand how the system behaves Simulate future and alternative scenarios Support decision making and public policies using scientific knowledge
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Global Change Where are changes taking place? How much change is happening? Who is being impacted by the change? What is causing change? Human actions and global change photo: A. Reenberg photo: C. Nobre
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Computational models If (... ? ) then... Connect expertise from different fields Make the different conceptions explicit
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Why computational models? Can represent heterogeneity Formal language to represent the model Avoid ambiguity Stable description of the model Implementation allows experiments Reproducibility (How did you do that?)
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Modeling is a cyclic process
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Environmental Modeling Course Computer simulation of environmental processes Different approaches Systems theory Cellular automata Agent-based modeling
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Environmental Modeling Course Practical course Activities Exercises Final project Wiki: www.terrame.org/erasmus Schedule Classes on Wednesdays, from 2:00PM to 4:00PM Office hours: Tuesdays, from 2:00PM to 5:00PM Email pedro.andrade@inpe.br andrade@uni-muenster.de
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TerraME: Terra Modeling Environment Pedro Ribeiro de Andrade Münster, 2013
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TerraME: Computational environment for developing nature-society models Cell Spaces Source: [Carneiro et al., 2013]
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TerraME´s way: Modular components Spatial structure 1:32:00Mens. 1 1. 1:32:10Mens. 3 2. 1:38:07Mens. 2 3. 1:42:00Mens.4 4.... return value true 1. Get first pair 2. Execute the ACTION 3. Timer =EVENT 4. timeToHappen += period Temporal structure Newly implanted Deforesting Slowing down latency > 6 years Iddle Year of creation Deforestation = 100% Rules of behaviour Spatial relations Source: [Carneiro et al., 2013]
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TerraME
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Modelos LUCC Modelos Hidrológicos Environmental Models with TerraME Propagação de Queimadas Source: (Almeida et al, 2008) Source: (Carneiro, 2006)
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TerraME team CCST-INPE Pedro Andrade, Miguel Monteiro, Gilberto Camara, Raian Maretto, Daniel Santos UFOP/TerraLab Tiago Carneiro, Rodrigo Reis, Antônio Rodrigues DPI/OBT-INPE TerraLib team
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www.terrame.org TerraME version 1.2 Documentation Lua for TerraME: A Short Introduction TerraME Types and Functions
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