in Little PEI

Dr. Robert Gilmour Jr., Dr. Adam Fenech, Stephanie Arnold and Alex Chen13 July 2015

Big Data Outline

1. Global Climate Models

2. Visualizing Big Data for Motivating Community Action - CLIVE

3. Big Data for Understanding Small Environments

1. Global Climate Models

Cray 1 Supercomputer Iphone 5

1985 2013

Functionality is the Same

Global Climate ModelsAR2 (1992) AR3 (2000) AR4 (2007) AR5 (2014)

CCSRNIES CCSRNIES BCM2.0 ACCESS1-0CGCM1 CGCM2 CGCM3T47 ACCESS1-3CSMK1 CSIROMk2b CGCM3T63 bcc-csm1-1ECHAM3 GFDL30 CNRM-CM3 bcc-csm1-1-mGFDLR15 HADCM3 CSIROMk3.0 BNU-ESMHADCM2 NCARPCM CSIROMk3.5 CanESM2

ECHAM5OM CCSM4

35 33 ECHO-G CESM1-BGC FGOALS-g1.0 CESM1-CAM5 GFDLCM2.0 CMCC-CESM GFDLCM2.1 CMCC-CM GISS-AOM CMCC-CMS GISS-EH CNRM-CM5 GISS-ER CSIRO-Mk3-6-0 HADCM3 FGOALS-g2 HADGEM1 FIO-ESM INGV-SXG GFDL-CM3 INMCM3.0 GFDL-ESM2G IPSLCM4 GFDL-ESM2M MIROC3.2 hires GISS-E2-H MIROC3.2 medres GISS-E2-H-CC MRI CGCM2.3.2a GISS-E2-R NCARCCSM3 GISS-E2-R-CC NCARCCSM3(Run 9) HadCM3 NCARPCM HadGEM2-AO

HadGEM2-CC

171 HadGEM2-ESinmcm4IPSL-CM5A-LRIPSL-CM5B-LRMIROC-ESMMIROC-ESM-CHEMMIROC4hMIROC5MPI-ESM-LRMPI-ESM-MRMRI-CGCM3NorESM1-MNorESM1-ME

311

Global Climate Models

• UPEI Climate, Ocean, Atmosphere Data Exchange (COADE)

• Database 11TB = 11,000 GB

• Output from all global climate models (GCMs) used in all IPCC assessment reports (AR2, AR3, AR4, AR5)

• downloaded in their native format to the UPEI COADE

• Output converted, formatted, interpreted, analyzed and mapped

Global Climate Models“Most Likely Change” in Annual Mean Temperature (ºC) by 2050s

Global Climate Models“Most Likely Change” in Annual Total Precipitation (%) by 2050s

Global Climate ModelsChanges in Annual Mean Temperature (ºC) at Niagara Falls, NY

Global Climate ModelsChanges in Annual Total Precipitation (%) at Niagara Falls, NY

2. Visualizing Big Data for Motivating Community Action - CLIVE

https://www.youtube.com/watch?v=Cg6dZHg76kA&feature=youtu.be

LiDAR – “light” “radar”

Orthorectified Aerial Photos

UNITY Gaming Software

LiDAR

and

Orthorectified

Aerial Photos

+

CLIVE Data Compression

• Clickable File on Desktop (no software required)

• Data compressed to less than 2.5%

• Keyboard, mouse, Xbox controller or LEAP (easy interface)

• Accessible by all

Original Data: 250 GB

CLIVE PEI: 6 GB

• GIS License• Large memory required• Plunky user interface• Prone to crashing

Public Consultations Summer 2014

• 8 communities across PEI

• concern went from “high” to “very high”

• “willingness to adapt” increased

• Sense of anxiety followed by urgency

Prince Edward Island Association of PlannersMurray Pinchuk Community Builder Award

3. Big Data for Small EnvironmentsPrecision Hawk - Lancaster

• Up to 1.0 cm/pixel resolution

• 3D point clouds with densities exceeding 250 points per square meter

Multiple Applications

ecology, coastal geomorphology, agriculture, forestry

3D Terrain Mapping and CLIVE

Building Virtual Realities

Conclusions

• Big Data everywhere

• Allows for simulations that can help motivate communities to action

• Big Data is moving to small applications – a new paradigm in environmental science