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Sangram Ganguly
Bay Area Environmental Research Institute
&
NASA Ames Research Center
NASA Earth Exchange
+ NEX is virtual collaborative that brings scientists
and researchers together in a knowledge-based
social network and provides the necessary tools,
computing power, and data to accelerate research,
innovation and provide transparency.
To provide “science as a service” to the Earth
science community addressing global environmental
challenges
VISION
To improve efficiency and expand the scope of NASA
Earth science technology, research and applications
programs
GOAL
Engage
Network,share & collaborate
Discuss & formulate new ideas
Portal, Virtual Institute
Enable
Rapid Access to data & storage
Access to computing
Access to knowledge/ workflows
NASA EARTH EXCHANGE (NEX).
OVERVIEW
Engage:	
  Web	
  portal	
  
Ready-­‐to-­‐use	
  data	
   Access	
  to	
  workflows/
virtual	
  machines	
  	
  
Ready-­‐to-­‐use	
  models	
  
Enable:	
  Terminal	
  
“Science As A Service”
NEX Infrastructure
Data repository – 1.3PB+ Compute Infrastructure (HPC, GPUs,
Shared Memory, Quantum)
Collaboration Portal and
Knowledge Base
Science Data
Management
Workflow and
Process
Management
Outreach and
Engagement
Knowledge
Management
Cloud Infrastructure
(OpenNEX)
Global Science Products Carbon Monitoring Water Management Climate Landcover Machine Learning
NEX Software Platform
NEX Science & Applications
Portal
•  Web Server
•  Database Server
•  503 Registered Members
Sandbox
•  96-core server, 264GB
memory, will have 320
TB storage
•  48-core server, 128 GB,
163 TB storage
HPC
•  720-core dedicated
queue + access to rest of
Pleiades
•  181 users/ 44 active
(153/40 last year)
•  2.3 PB storage (from
850TB)
Model Codes
•  GEOS-5
•  CESM
•  WRF
•  RegCM
•  VIC
•  BGC
•  CASA
•  TOPS
•  BEAMS
•  Fmask
•  LEDAPS
•  METRIC
Data (450 TB – constantly
increasing)
•  Landsat (>2M scenes)
•  MODIS
•  TRMM
•  GRACE
•  ICESAT
•  CMIP5
•  NCEP
•  MERRA
•  NARR
•  GLAS
•  PRISM
•  DAYMET
•  NAIP
•  Digital Globe
•  NEX-DCP30
•  WELD
Data (>800 TB on &
near-line)
Models/ Tools/
Workflows
§  The	
  NEX	
  Portal	
  is	
  a	
  public	
  website	
  
§  HPC	
  only	
  for	
  NASA-­‐funded	
  teams	
  
§  OpenNEX	
  is	
  on	
  Amazon	
  Web	
  Services,	
  open	
  to	
  the	
  world	
  
Scale it up
From a single scene to global Mapping global landscapes every month at 30m
Deployment on NASA’s
supercomputing resources
NEX supporting the National Climate Assessment (NCA).
Climatemodeling
Downscaling
Workflows
Every4years
Promoting consistency, repeatability,
and transparency in global change science
Modelingimpacts
Machine Learning Model
Long-term
SatelliteData
Analysis
2000	
  
2100	
  
Input: 35 CMIP5 models
Downscaling method: BCSD
Temporal Resolution: Monthly
Spatial Resolution: 800m
Temporal Resolution: 2006-2100
PRISM data for bias correction
Output variables:
Ave Max
Temperature
Ave Min temperature
Total Precipitaiton
Ave Humidity
Ave Solar Radiation
Individual model
outputs
Ensemble means
Percentiles
Volume: 22TB
Distribution of the downscaled
data
From: GSFC/NCCS
Format: Earth System Grid (ESG)
API from Google Earth Engine
July Max Temperature
https://nex.nasa.gov/opennex

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NASA EARTH EXCHANGE (NEX) - Virtual collaborative for Earth science research

  • 1. Sangram Ganguly Bay Area Environmental Research Institute & NASA Ames Research Center NASA Earth Exchange
  • 2. + NEX is virtual collaborative that brings scientists and researchers together in a knowledge-based social network and provides the necessary tools, computing power, and data to accelerate research, innovation and provide transparency. To provide “science as a service” to the Earth science community addressing global environmental challenges VISION To improve efficiency and expand the scope of NASA Earth science technology, research and applications programs GOAL Engage Network,share & collaborate Discuss & formulate new ideas Portal, Virtual Institute Enable Rapid Access to data & storage Access to computing Access to knowledge/ workflows NASA EARTH EXCHANGE (NEX). OVERVIEW
  • 3. Engage:  Web  portal   Ready-­‐to-­‐use  data   Access  to  workflows/ virtual  machines     Ready-­‐to-­‐use  models   Enable:  Terminal   “Science As A Service”
  • 4. NEX Infrastructure Data repository – 1.3PB+ Compute Infrastructure (HPC, GPUs, Shared Memory, Quantum) Collaboration Portal and Knowledge Base Science Data Management Workflow and Process Management Outreach and Engagement Knowledge Management Cloud Infrastructure (OpenNEX) Global Science Products Carbon Monitoring Water Management Climate Landcover Machine Learning NEX Software Platform NEX Science & Applications
  • 5. Portal •  Web Server •  Database Server •  503 Registered Members Sandbox •  96-core server, 264GB memory, will have 320 TB storage •  48-core server, 128 GB, 163 TB storage HPC •  720-core dedicated queue + access to rest of Pleiades •  181 users/ 44 active (153/40 last year) •  2.3 PB storage (from 850TB) Model Codes •  GEOS-5 •  CESM •  WRF •  RegCM •  VIC •  BGC •  CASA •  TOPS •  BEAMS •  Fmask •  LEDAPS •  METRIC Data (450 TB – constantly increasing) •  Landsat (>2M scenes) •  MODIS •  TRMM •  GRACE •  ICESAT •  CMIP5 •  NCEP •  MERRA •  NARR •  GLAS •  PRISM •  DAYMET •  NAIP •  Digital Globe •  NEX-DCP30 •  WELD Data (>800 TB on & near-line) Models/ Tools/ Workflows §  The  NEX  Portal  is  a  public  website   §  HPC  only  for  NASA-­‐funded  teams   §  OpenNEX  is  on  Amazon  Web  Services,  open  to  the  world  
  • 6. Scale it up From a single scene to global Mapping global landscapes every month at 30m Deployment on NASA’s supercomputing resources
  • 7. NEX supporting the National Climate Assessment (NCA). Climatemodeling Downscaling Workflows Every4years Promoting consistency, repeatability, and transparency in global change science Modelingimpacts Machine Learning Model Long-term SatelliteData Analysis
  • 8. 2000   2100   Input: 35 CMIP5 models Downscaling method: BCSD Temporal Resolution: Monthly Spatial Resolution: 800m Temporal Resolution: 2006-2100 PRISM data for bias correction Output variables: Ave Max Temperature Ave Min temperature Total Precipitaiton Ave Humidity Ave Solar Radiation Individual model outputs Ensemble means Percentiles Volume: 22TB Distribution of the downscaled data From: GSFC/NCCS Format: Earth System Grid (ESG) API from Google Earth Engine July Max Temperature