1 / 15

Leveraging Remote Sensing Observations for Regional Climate Change Research

Leveraging Remote Sensing Observations for Regional Climate Change Research. Andrew F. Hart, Cameron E. Goodale , Chris A. Mattmann , Peter Lean, Jinwon Kim, Paul Zimdars , Duane E. Waliser , Daniel J. Crichton. Userlab 2 , 04.12.2012. Daka Senegal. Rationale .

cael
Download Presentation

Leveraging Remote Sensing Observations for Regional Climate Change Research

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Leveraging Remote Sensing Observations for Regional Climate Change Research Andrew F. Hart, Cameron E. Goodale, Chris A. Mattmann, Peter Lean, Jinwon Kim, Paul Zimdars, Duane E. Waliser, Daniel J. Crichton Userlab 2, 04.12.2012. Daka Senegal

  2. Rationale... • Increasing interest in historical remote sensing observations for local, near-term decision support • Multiple International efforts seeking to provide a better understanding of Earth’s climate through modeling • Emphasis on regional scale and decadal timeframes vs. global, long-term models A.Hart – Userlab 2. Dakar, Senegal

  3. Opportunity... TRMM observations • Remote sensing observations can provide a complimentary perspectective

  4. Challenges... • Remote sensing data collected for various purposes by different instruments and teams • Remote sensing data stored in disconnected repositories and managed by different organizations • Remote sensing data stored in heterogeneous formats, not always optimized for research A.Hart – Userlab2012. Dakar, Senegal

  5. Tools... • RCMES: Regional Climate Model Evaluation System “Reduce the time and effort required to interact with remote sensing data products” “Allow researchers to focus on their research, not data management.” A.Hart – Userlab 2012. Dakar, Senegal

  6. System Overview... • RCMED: • Scalable container for decades of observations from multiple sources, aligned to a common data model • Optimized for regional climate modeling query characteristics A.Hart – Userlab 2012. Dakar, Senegal

  7. System Overview... • RCMED: • What comes out? • Raw remote sensing observations (data points) • Uniform format A.Hart – Userlab 2012. Dakar, Senegal

  8. System Overview... • RCMET: • Client toolkit for interacting with RCMED • Browser-based interface for performing configurable processing tasks • Common algorithms for comparing models to observations • Data visualization tools A.Hart – Userlab 2012. Dakar, Senegal

  9. System Overview... • RCMET: • What comes out? • Visualizations of remote sensing observations A.Hart – Userlab 2012. Dakar, Senegal

  10. Use Cases... • Bias Calculation A.Hart – Userlab 2012. Dakar, Senegal

  11. Applications... • RCMES is a research effort that is still in its early stages • Much of the RCMES software is just becoming publicly available • Designed to support a wide variety of research A.Hart – Userlab 2012. Dakar, Senegal

  12. Datasets that have been included so far: • TRMM (satellite precipitation): [1998– 2010]‏ • AIRS (satellite atmospheric surface + profile retrievals) [2002 – 2010] • ERA-Interim (reanalysis): [1989 – 2010] • NCEP Unified Rain gauge Database (gridded precipitation): • [1948 – 2010] • Snow Water Equivalent (Noah Molotch): [2000-2009]‏ T(2m), T(p), z(p) T(2m), Td(2m), T(p), z(p) Statistical Metrics included: Bias, RMS error, Anomaly Correlation, Pattern Correlation A.Hart – Userlab 2012. Dakar, Senegal

  13. Applications... • How can we make this more relevant: • Identify parameters of research interest • Identify existing datasets that would be useful to include A.Hart – Userlab 2012. Dakar, Senegal

  14. More Information: http://rcmes.jpl.nasa.gov {ahart,cgoodale,crichton,mattmann}@jpl.nasa.gov A.Hart – Userlab 2012. Dakar, Senegal

  15. End. Thank you very much for your attention! A.Hart – Userlab 2012. Dakar, Senegal

More Related