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Working Group: Data Products and Access Robert Cook, Oak Ridge National Laboratory Terrestrial Ecology Meeting October 6, 2011.

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Presentation on theme: "Working Group: Data Products and Access Robert Cook, Oak Ridge National Laboratory Terrestrial Ecology Meeting October 6, 2011."— Presentation transcript:

1 Working Group: Data Products and Access Robert Cook, Oak Ridge National Laboratory Terrestrial Ecology Meeting October 6, 2011

2 Major challenges Data stewardship: archiving research data and data products; creating custom products for priority end uses; selecting new products to produce; ATBD reviews, and setting priorities Providing appropriate and useful documentation of errors and uncertainties associated with our data, data products, analyses, and model results. 2 Data WG October 6, 2011

3 Questions  What data products would advance TE research goals? long-term data records that need to be created or better supported enhancing existing data products (EOS and PI-led efforts) new mission and cross-mission data products (current and future) non-NASA data sources?  How could NASA invest resources to make data sets easier to prepare, access, manipulate, and combine with other sources of information or models? Investing in the data life cycle 3 Data WG October 6, 2011

4 MODIS MISR ASTER AIRS EOS Standard Products “Instrument Based” MEASURES Earth System Data Records (ESDRs) MEASURES Earth System Data Records (ESDRs) “Parameter Based” PI-driven Data Products “Question Based” Science Data Centers (DAACs, SIPS, MODAPS) Project Computing / Distribution Facilities ESIP Federation (GLCF, EOS-Webster) ACCESS Projects (Technology Infusion) Data/Analysis Products Distribution … Courtesy of Jeff Masek

5 Data Products and Data Access Working Group:  Provided an issue is relevant to TE field campaigns and of importance to the TE community, the WG will have the ability to identify a new issue for its consideration and develop the agenda to address it, for example:  Recommend inclusion in a new NASA solicitation (e.g., MEASURES, ACCESS, etc.)  Establish an informal consortium  Other approaches 5 Data WG October 6, 2011

6 Working Group Members 6 NameOrganization Bob Cook (Chair)Environmental Sciences Division, ORNL Kamel DidanThe University of Arizona Eileen HelmerUSDA Forest Service Cheng HuangUniversity of Maryland Michael KellerLBA / US Forest Service Sarah LundeenJPL Ranga MyneniBoston University Joanne NightingaleSigma Space Corporation / NASA GSFC Stephen OgleColorado State University Flavia PezziniPPBio INPA, Brazil Bin TanERT/NASA GSFC Ex Officio: George Hurtt, Fred Hummerich, Jeff Masek Data WG October 6, 2011

7 Process: Joint Data WG and Model WG  Identified and ranked 28 new data products  Identified and ranked 15 items “investing in the data life cycle”  Did not develop agenda to address these rankings 7 Data WG October 6, 2011

8 What data products would advance TE research goals? 8 Data Product 1High resolution climate data (1-km and 3-hourly) 2In situ observations for validation 3Global land cover & history of land-use 4Observations to evaluate models (I-LAMB) 5Expand temporal coverage of Global Fire Emissions 6High-spatial resolution soil data 7Forest characteristics (height, biomass, and age) 8Land management products 9Landsat used to downscale MODIS for crop studies 10 Landsat-based land cover and land cover change (30-m every 3 to 5 years) Data WG October 6, 2011

9 How could the NASA invest resources to make data sets easier to prepare, access, manipulate, and combine with other sources of information or models? 9 Description 1 Data publications 2 Data liaison between investigator and DAAC 3 Accuracy and uncertainty characterized 4 Single portal for exploration, access, & visualization 5 Community standards (variables and data files) 6 Timely access to airborne data 7 Subset and integrate multiple remote sensing products ( AVHRR, MODIS, LEDAPS (reflectance and disturbance), LandSat, etc.). Data WG October 6, 2011

10 How could the NASA invest resources to make data sets easier to prepare, access, manipulate, and combine with other sources of information or models? 10 Description ✓ Data publications 2 Data liaison between investigator and DAAC 3 Accuracy and uncertainty characterized ✓ Single portal for exploration, access, & visualization 5 Community standards (variables and data files) 6 Timely access to airborne data ✓ Subset and integrate multiple remote sensing products ( AVHRR, MODIS, LEDAPS (reflectance and disturbance), LandSat, etc.). Data WG October 6, 2011

11 Data WG Recommendations (Provisional) 1.TE should develop data products:  High resolution climate data (1-km and 3-hourly)  In situ observations for validation  Global land cover & history of land-use  Observations to evaluate models (I-LAMB)  Expand temporal coverage of Global Fire Emissions 2.TE should invest in  Data liaison between investigator and DAAC  Characterization of accuracy and uncertainty  Community standards (variables and data files)  Timely access to airborne data 3.Data WG should continue to work closely with Field and Model WG  Eventually disband and merge with those two WGs 11 Data WG October 6, 2011

12 Data Breakout Group 12

13 Additional Material Data Breakout Group 13

14 Questions Addressed  What additional long-term data records need to be created or better supported to advance TE research goals?  How could the NASA / TE Program invest resources to make data sets easier to access, manipulate, and combine with other sources of information and/or models?  What are the priorities for maintaining/enhancing existing data products, including standard EOS data sets as well as those derived from PI-led efforts?  What are the priorities for improving access to key "external" (non-NASA) data sources, including international inventory and remote sensing data?  What are the priorities for new mission and cross-mission data products emerging from the Decadal Survey era? Data WG September 4,

15 What new data products would advance TE research goals? Data WG 15 Description Votes from Modeling Group Votes from Data Group Total Votes High spatial and temporal resolution (1-km and 3-hourly) climate, Global coverage. Climate data to include PAR and diurnal variability needed to drive land-surface model/photosynthesis schemes. 448 Global database of ground-based in situ validation data for remote sensing products. Forest inventory data (e.g., Height, basal area, biomass, age, crown dimensions of forest study plots globally (validation / evaluation data set). 347 Global gridded data on land-cover, land-use, land-use transitions, and land cover changes (past, present, future) 426 Data products for evaluating and improving model performance (I-LAMB parameters) LAI, NPP, CO2 annual cycle (phase & amplitude), energy & CO2 flux 5 5 Expand spatial and temporal coverage: 5. Global Fire Emissions Dataset – GFED (J. Randerson, UCI) 325 High-spatial resolution soil data, including type and depth235 Multi-faceted product containing forest height, biomass, and age. (Combining many existing products (LIDAR, LEDAPS). 145 Gridded products that help us understand land management (not just land cover) are important for substantially improving (a) estimates of carbon fluxes, and (b) reducing uncertainty. 224 High spatial resolution remote sensing products for use with cropland data layers (e.g., MODIS at 250-m; crops at 30-m (TM-type) resolution). 1: LandSat used to downscale MODIS. 314 High spatial (30-m) and temporal resolution (every 3 to 5 years) Land Cover and Land Cover Change (LandSat based). 224

16 How could the NASA's TE program invest resources to make data sets easier to prepare, access, manipulate, and combine with other sources of information and/or models? Data WG 16 Description Total Votes from Modeling Group Total Votes from Data Group Total Votes Data publications containing raw data produced in funded projects, as well as that used in journal articles, so that others can use data for other purposes. 347 Data coordinator to act as a liaison between investigator and data center; make it easier for investigator to compile and submit data to a data repository. Responsible for seeing that data from PI gets into the archive in a suitable form and well documented. 336 Require a policy to make data readily available 12 months after collection in a standard format to facilitate use (and metadata readily available after 30 days). 325 Recommend that accuracy and uncertainty be fully characterized and included with each product (integral part of the data product) for remote sensing and ground-based (in situ) data. 415 Single portal that enables exploration and access to Earth Science data including visualization; data are readily integrated. 235 Community standards for TE-relevant variables and data files314 Timely access to airborne data 123 Extract and integrate multiple remote sensing products for a small area over time (AVHRR, MODIS, LEDAPS (reflectance and disturbance), LandSat, etc.). 33 Tools to propagate uncertainty (in quadrature) 123

17 What new data products would advance TE research goals? (1/2) Data WG 17 1Global re-GAP data set, incorporating LIDAR 2 High spatial and temporal resolution (1-km and 3-hourly) climate, Global coverage. Climate data to include PAR and diurnal variability needed to drive land-surface model/photosynthesis schemes. 3 Gridded species richness and occurrence data to look at biodiversity (at 25-km resolution). Plants and animals (eBird database). (PPBio-INPA in Amazonia) 4 High spatial (30-m) and temporal resolution (every 3 to 5 years) Land Cover and Land Cover Change (LandSat based). 5 High spatial resolution remote sensing products for use with cropland data layers (e.g., MODIS at 250- m; crops at 30-m (TM-type) resolution). 1: LandSat used to downscale MODIS. 6 High spatial resolution remote sensing products for use with cropland data layers (e.g., MODIS at 250- m; crops at 30-m (TM-type) resolution). 2: LandSat and Spot combined to obtain higher temporal resolution (seasonal). 7 Hyperspectral Reference Library of leaf-level hyperspectral optical properties (full spectrum; biogeochemical content) and soil reflectivity. Collected using standard measurement techniques; full contextual information. 8 Multi-faceted product containing forest height, biomass, and age. (Combining many existing products (LIDAR, LEDAPS). 9 Global database of ground-based in situ validation data for remote sensing products. Forest inventory data (e.g., Height, basal area, biomass, age, crown dimensions of forest study plots globally (validation / evaluation data set). 10 Ground-based data to validate remote sensing products (improved spatial representativeness; match ground-based spatial resolution with that of the satellite data) 11Data on fate of harvested products 12 Global gridded data on land-cover, land-use, land-use transitions, and land cover changes (past, present, future)

18 What new data products would advance TE research goals? (2/2) Data WG Long-term data records for dynamics of inland waters, cloud corrected global irradiance, atmospheric optical properties, in addition to the existing MEASURES products (landsat, NDVI, etc.). 14High-spatial resolution soil data, including type and depth 15 Global data on soil carbon stocks, litter 16Ancillary data to support interpretation of data from new NASA sensors (e.g., DESDnyI) 17 Gridded products that help us understand land management (not just land cover) are important for substantially improving (a) estimates of carbon fluxes, and (b) reducing uncertainty. 18Atmospheric tracers((N2O, CO) in addition to CO2 for top-down inversion estimates/constraints. 19 N pools and fluxes for crop production, fertilizer use and efficiency, nitrate leaching and N gas emissions, and nitrogen deposition, with a resolution of 0.5 X 0.5 degree at global scale. 20 new MISR product with atmospheric correction and improved ease-of-use (cf MODIS) 21 new LandSat Product with atmospheric correction and georegistration (cf MODIS). Isn't this WELD? 22 Expand spatial and temporal coverage: 1. National Biomass and Carbon Dataset (J. Kellendorfer, WHRC) 23 Expand spatial and temporal coverage: 2. North American ASTER Land Emissivity (S. Hook, JPL) 24 Expand spatial and temporal coverage: 3. North American Forest Dynamics (S. Goward, UMD) 25 Expand spatial and temporal coverage: 4. LEDAPS (J. Masek, GSFC) 26 Expand spatial and temporal coverage: 4. Global Fire Emissions Dataset – GFED (J. Randerson, UCI) 27 Expand spatial and temporal coverage: 5. VULCAN Fossil Fuel Emissions (K. Gurney, Purdue) 28 Data products for evaluating and improving model performance (I-LAMB parameters) LAI, NPP, CO2 annual cycle (phase & amplitude), energy & CO2 flux

19 How could the NASA's TE program make data sets easier to prepare, access, manipulate, and combine with other sources of information and/or models? Data WG 19 NoCategoryDescription 1policy Require a policy to make data readily available 12 months after collection in a standard format to facilitate use (and metadata readily available after 30 days). 2trainingDevelop tutorials/ curricula / class room material tutorials on how to prepare data to share. 3trainingDevelop tutorials/ curricula / class room material on how to access and use data products. 4preparation Data coordinator to act as a liaison between investigator and data center; make it easier for investigator to compile and submit data to a data repository. Responsible for seeing that data from PI gets into the archive in a suitable form and well documented. 5preparation NASA could facilitating the expeditious preparation of data and metadata for sharing, including preparing data products in a standard formats with standard variables. 6preparationCommunity standards for TE-relevant variables and data files 7preparation Recommend that accuracy and uncertainty be fully characterized and included with each product (integral part of the data product) for remote sensing and ground-based (in situ) data. 8discover Single portal that enables exploration and access to Earth Science data including visualization; data are readily integrated. 9discoverObtaining large volume data in an efficient manner (faster internet transfer rates) 11discoverMethods to access data in time centric methods. 12discoverTimely access to airborne data 13 discover and integrate Extract and integrate multiple remote sensing products for a small area over time (AVHRR, MODIS, LEDAPS (reflectance and disturbance), LandSat, etc.). 14analysisTools to propagate uncertainty (in quadrature) 15 archive Data publications containing raw data produced in funded projects, as well as that used in journal articles, so that others can use data for other purposes.

20 Agenda  Introduction  WG Goals / Charter  Discussion 20 Data WG September 4, 2010


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