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International Community Guidelines for Sharing and Reusing Quality Information of Individual Earth Science Datasets (Vol. 4). Vol. 4. https://doi.org/10.31219/osf.io/xsu4p Lacagnina, C., Peng, G., Ivanova, I., Downs, R., Ramapriyan, H., Moroni, D., … Ganske, A. (2021, October 26). International Community Guidelines for Sharing and Reusing Quality Information of Individual Earth Science Datasets. https://doi.org/10.1002/essoar.10508481.1 Lacagnina, C., Peng, G., Ivanova, I., Downs, R., Ramapriyan, H., Moroni, D., … Ganske, A. (2021, November 4). International Community Guidelines for Sharing and Reusing Quality Information of Individual Earth Science Datasets. https://doi.org/10.1002/essoar.10508601.1 Peng, G., Smith, D., Wingo, S., & Ramachandran, R. (2021, December 10). Stewardship Best Practices for Improved Discovery and Reuse of Heterogeneous and Cross-Disciplinary Earth System Data. https://doi.org/10.1002/essoar.10509377.1 Dunn, R., Lief, C., Peng, G., Wright, W., Baddour, O., Donat, M., … Ziese, M. (2021). Stewardship Maturity Assessment Tools for Modernization of Climate Data Management. Data Science Journal. https://doi.org/10.5334/dsj-2021-007 Peng, G., Downs, R. R., Lacagnina, C., Ramapriyan, H., Ivánová, I., Moroni, D. F., … Bugbee, K. (2020, December 15). Call to Action for Global Access to and Harmonization of Quality Information of Individual Earth Science Datasets (Vol. 12). Vol. 12. https://doi.org/10.31219/osf.io/nwe5p Peng, G., Lacagnina, C., Downs, R. R., Ivanova, I., Moroni, D. F., Ramapriyan, H. K., … Larnicol, G. (2020, August 29). Laying the Groundwork for Developing International Community Guidelines to Effectively Share and Reuse Digital Data Quality Information – Case Statement, Workshop Summary Report, and Path Forward. https://doi.org/10.31219/osf.io/75b92 Carlson, D., Elger, K., Peng, G., Wagner, J., & Klump, J. (2020, December 15). Promoting Global Sharing of Earth System Science Data Through Free and Open Access Data Publication. https://doi.org/10.31219/osf.io/cq9rz Matthews, J. L., Peng, G., Meier, W. N., & Brown, O. (2020). Sensitivity of Arctic Sea Ice Extent to Sea Ice Concentration Threshold Choice and Its Implication to Ice Coverage Decadal Trends and Statistical Projections. REMOTE SENSING, 12(5). https://doi.org/10.3390/rs12050807 Peng, G., Matthews, J. L., Wang, M., Vose, R., & Sun, L. (2020). What Do Global Climate Models Tell Us about Future Arctic Sea Ice Coverage Changes? CLIMATE, 8(1). https://doi.org/10.3390/cli8010015 Ramapriyan, H. K., Downs, R. R., Dozier, J., Duerr, R., Folk, M., Frew, J., … Peng, G. (2019). Bruce Barkstrom (1944–2018). EOS, 100. https://doi.org/10.1029/2019eo115561 Peng, G., Milan, A., Ritchey, N. A., Partee, R. P., II, Zinn, S., McQuinn, E., … Collins, D. (2019). Practical Application of a Data Stewardship Maturity Matrix for the NOAA OneStop Project. Data Science Journal. https://doi.org/10.5334/dsj-2019-041 Bliss, A. C., Steele, M., Peng, G., Meier, W. N., & Dickinson, S. (2019). Regional variability of Arctic sea ice seasonal change climate indicators from a passive microwave climate data record. ENVIRONMENTAL RESEARCH LETTERS, 14(4). https://doi.org/10.1088/1748-9326/aafb84 Peng, G., Arguez, A., Meier, W. N., Vamborg, F., Crouch, J., & Jones, P. (2019, September). Sea Ice Climate Normals for Seasonal Ice Monitoring of Arctic and Sub-Regions. DATA, Vol. 4. https://doi.org/10.3390/data4030122 Peng, G., Privette, J. L., Tilmes, C., Bristol, S., Maycock, T., Bates, J. J., … Kearns, E. J. (2018). A Conceptual Enterprise Framework for Managing Scientific Data Stewardship. Data Science Journal. https://doi.org/10.5334/dsj-2018-015 Peng, G., Ramapriyan, H. K., & Moroni, D. (2018). ESIP Information Quality Cluster - Fostering collaborations in managing Earth Science Data Quality. Research Data Alliance (RDA) Europe, Peng, G., Milan, A., Ritchey, N. A., Partee, R. P., II, Zinn, S., McQuinn, E., … Collins, D. (2018, October 18). Practical Application of a Data Stewardship Maturity Matrix for the NOAA OneStop Project (Vol. 10). Vol. 10. https://doi.org/10.31219/osf.io/fp3js Peng, G., Matthews, J. L., & Yu, J. T. (2018). Sensitivity Analysis of Arctic Sea Ice Extent Trends and Statistical Projections Using Satellite Data. REMOTE SENSING, 10(2). https://doi.org/10.3390/rs10020230 Peng, G., Steele, M., Bliss, A., Meier, W., & Dickinson, S. (2018). Temporal Means and Variability of Arctic Sea Ice Melt and Freeze Season Climate Indicators Using a Satellite Climate Data Record. Remote Sensing, 10(9), 1328. https://doi.org/10.3390/rs10091328 Peng, G. (2018). The State of Assessing Data Stewardship Maturity – An Overview. Data Science Journal, 17. https://doi.org/10.5334/dsj-2018-007 Moroni, D., Ramapriyan, H., & Peng, G. (2017). A Platform to provide international and inter-agency support for data and information quality solutions and best practices. International Ocean Vector Winds Science Team Meeting. San Diego, CA, USA. Peng, G. (2017). Data Stewardship Maturity Matrix – Introduction and Application. Library of Congress Annual Digital Preservation - DSA Meeting. Retrieved from http://www.digitalpreservation.gov/meetings/DSA2017/Day_1/10_CP_Part_1_GePeng_NOAA.pdf Zinn, S., Relph, J., Peng, G., Milan, A., & Rosenberg, A. (2017). Design and implementation of automation tools for DSMM diagrams and reports. ESIP 2017 Winter Meeting, 11–13. Bethesda, MD, USA. Ramapriyan, H., Peng, G., Moroni, D., & Shie, C.-L. (2017). Ensuring and Improving Information Quality for Earth Science Data and Products. D.-Lib Magazine, 23. https://doi.org/10.1045/july2017-ramapriyan Peng, G. (2017, August 25). Getting to know and to use DSMM. https://doi.org/10.6084/m9.figshare.5346343 Peng, G., Lief, C., & Ansari, S. (2017). Improving Stewardship of Scientific Data Through the Use of a Maturity Matrix – A Success Story. 2017 NOAA Enterprise Data Management Workshop, 9, –. Retrieved from https://www.slideshare.net/gepeng86/improving-stewardship-of-scientific-data-through-use-of-a-maturity-matrix Peng, G., Meier, W., Bliss, A. C., Steele, M., & Dickinson, S. (2017). Spatial and Temporal Means and Variability of Arctic Sea Ice Climate Indicators from Satellite Data. 2017 American Geophysical Union Fall Meeting. https://doi.org/https://doi.org/10.6084/m9.figshare.5613613.v1 Peng, G., & Meier, W. N. (2017). Temporal and regional variability of Arctic sea-ice coverage from satellite data. Annals of Glaciology, 76. https://doi.org/10.1017/aog.2017.32 Peng, G. (2017, December 23). The State of Assessing Data Stewardship Maturity – An Overview. Open Science Framework, Vol. 23, pp. 7 2. https://doi.org/10.17605/OSF.IO/7W2GJ Peng, G. (2017, December 19). The State of Assessing Data Stewardship Maturity – An Overview (Vol. 12). Vol. 12. https://doi.org/10.31219/osf.io/7w2gj Peng, G., Ritchey, N., Milan, A., Zinn, S., Casey, K. S., Neufeld, D., … Jones, P. (2017). Towards Consistent and Citable Data Quality Descriptive Information for End-Users. 2017 DataONE User Group Meeting, 24–25, https://doi.org/10.6084/m9.figshare.5336191 Peng, G. (2017). Towards consistent and citable data quality descriptive information for end-users. Federation Summer Meeting. Bloomington, IN. Shi, L., Matthews, J. L., Stegall, S., & Peng, G. (2016). A long-term global dataset of temperature and humidity profiles from HIRS. CLIVAR Open Science Conference. Qingdao, China. Peng, G., Shi, L., Stegall, S. T., Matthews, J. L., & Fairall, C. W. (2016). An Evaluation of HIRS Near-Surface Air Temperature Product in the Arctic with SHEBA Data. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 33(3), 453–460. https://doi.org/10.1175/jtech-d-15-0217.1 Peng, G., Lawrimore, J., Toner, V., Lief, C., Baldwin, R., Ritchey, N., … Delgreco, S. A. (2016). Assessing Stewardship Maturity of the Global Historical Climatology Network-Monthly (GHCN-M) Dataset: Use Case Study and Lessons Learned. D.-Lib Magazine, 22. https://doi.org/10.1045/november2016-peng Peng, G. (2016). Challenges and Potential Approach in Search Relevance Ranking from a Dataset Maturity Perspective. ESIP 2016 Summer meeting. Durham, NC, USA. Peng, G., Meier, W. N., Yu, J., & Arguez, A. (2016). Climate Normals and Variability of Arctic Sea Ice. CLIVAR Open Science Conference. Qingdao, China. Ramapriyan, H., Peng, G., Moroni, D., & Shie, C.-L. (2016). Ensuring and Improving Information Quality for Earth Science Data and Products – Role of the ESIP Information Quality Cluster. SciDataCon 2016, 12–13, Denver, CO, USA. Ritchey, N. A., Peng, G., Jones, P., Milan, A., & Casey, K. (2016). Practical Application of the Data Stewardship Maturity Model for NOAA’s OneStop Project. AGU 2016 Fall Meeting. San Francisco, CA, USA. Peng, G. (2016). Scientific Stewardship - What Is It and What Does It Mean to Us? 2016 CICS Joint Science Conference. Greenbelt, MD. Peng, G., Ritchey, N. A., Casey, K. S., Kearns, E. J., Prevette, J. L., Saunders, D., … Ansari, S. (2016). Scientific Stewardship in the Open Data and Big Data Era — Roles and Responsibilities of Stewards and Other Major Product Stakeholders. D-Lib Magazine, 22(5/6). https://doi.org/10.1045/may2016-peng Peng, G. (2016, May 19). Stewards – Knowledge and Communication Hub. https://doi.org/10.6084/m9.figshare.3189724 Peng, G., Ramapriyan, H., & Moroni, D. F. (2016). The State of Building a Consistent Framework for Curation and Presentation of Earth Science Data Quality. AGU 2016 Fall Meeting, 12–. San Francisco, CA, USA. Peng, G. (2015). A New Paradigm for Ensuring and Improving Data Quality and Usability – Roles and Responsibilities of Stewards and Stakeholders. 2015 ESIP summer meetin, 14–17. Asilomar, CO, USA. Austin, M., & Peng, G. (2015). A Prototype for content-rich decision-making support in NOAA using data as an asset. 2015 AGU Fall meeting, 14–18. San Francisco, CA, USA. Peng, G., Privette, J. L., Kearns, E. J., Ritchey, N. A., & Ansari, S. (2015). A Unified Framework for Measuring Stewardship Practices Applied to Digital Environmental Datasets. Data Science Journal, 13. https://doi.org/10.2481/dsj.14-049 Hou, C.-Y., Mayermik, M., Peng, G., Duerr, R., & Rosati, A. (2015). Assessing information quality: Use case studies for the data stewardship maturity matrix. 2015 AGU Fall meeting, 14–18. San Francisco, CA, USA. Ritchey, N., & Peng, G. (2015). Assessing stewardship maturity: use case study results and lessons learned. 2015 AGU Fall meeting, 14–18. San Francisco, CA, USA. Downs, R., Peng, G., Wei, Y., Ramapriyan, H., & Moroni, D. (2015). Enabling the usability of Earth Science data products and services by evaluating, describing, and improving data quality throughout the data lifecycle . 2015 AGU Fall meeting, 14–18. San Francisco, CA, USA. Ramapriyan, H., Moroni, D., & Peng, G. (2015). Improving information quality for Earth Science data and products – overview. 2015 AGU Fall meeting, 14–18. San Francisco, CA, USA. Peng, G., & Maycock, T. (2015, May 25). Increasing sharing, expanding user base, and estimating impact of your research data using service tools and social media. Retrieved from slideshare.com website: http://www.slideshare.net/gepeng86/peng-maycock-cicsncsharingusecase Peng, G. (2015). Towards a Consistent Measure of Stewardship Practices. 2015 ESIP Summer Meeting, 14–17. Asilomar, CO, USA. Peng, G., & Privette, J. L. (2014). A stewardship maturity matrix for assessing the state of environmental data quality and usability. 10th Annual Symposium on New Generation Operational Environmental Satellite Systems, 2–6, Atlanta, GA, USA. Peng, G., Cecil, L. D., & Cramer, B. (2014). An End-to-End Framework for Probabilistic Uncertainty Characterization of Climate Satellite Data and Products. 10th Annual Symposium on New Generation Operational Environmental Satellite Systems, 2–6, Atlanta, GA, USA. Directional bias of TAO daily buoy wind vectors in the central equatorial Pacific Ocean from November 2008 to January 2010. (2014). Data Science Journal. https://doi.org/10.2481/dsj.14-019 Peng, G. (2014, October 17). Introduction to Scientific Data Stewardship Maturity Matrix. https://doi.org/10.6084/m9.figshare.1150243 Meier, W. N., Peng, G., Scott, D. J., & Savoie, M. H. (2014). Verification of a new NOAA/NSIDC passive microwave sea-ice concentration climate record. POLAR RESEARCH, 33. https://doi.org/10.3402/polar.v33.21004 Peng, G., Meier, W. N., Scott, D. J., & Savoie, M. H. (2013). A long-term and reproducible passive microwave sea ice concentration data record for climate studies and monitoring. Earth System Science Data, 5(2), 311–318. https://doi.org/10.5194/essd-5-311-2013 Peng, G., Zhang, H.-M., Frank, H. P., Bidlot, J.-R., Higaki, M., Stevens, S., & Hankins, W. R. (2013). Evaluation of Various Surface Wind Products with OceanSITES Buoy Measurements. WEATHER AND FORECASTING, 28(6), 1281–1303. https://doi.org/10.1175/waf-d-12-00086.1 Evaluation of Various Surface Wind Products with OceanSITES Buoy Measurements. (2013). Weather and Forecasting. https://doi.org/http://dx.doi.org/10.1175/WAF-D-12-00086.1 Zhang, H.-M., Peng, G., Vasquez, L., Hankins, W., Fairall, C. W., Weller, R., & Brown, A. (2013). The SURFA Project: Towards Near-Real-Time Quality Monitoring of NWP Forecasts and Historical Analysis. 4th WGNE workshop on systematic error in weather and climate models. Exeter, UK. Peng, G., Denning, M., Saunders, D., Iwunze, M., Ullman, R., & Privette, J. (2012). A Low-Cost and Efficient Way to Archive Calibration/Validation Findings for Satellite Data. 2012 AGU Fall Meeting. San Francisco, CA. Vasquez, L., Peng, G., Urzen, M., Hankins, W. R., & Zhang, H.-M. (2012). A Near Real-Time Monitoring System for NWP Forecast and Satellite-Based Products. 2012 AGU Fall Meeting. San Francisco, CA. Deriving surface temperature and humidity from long-term HIRS observation in high latitudes. (2012). J. Atmos. Oceanic. Tech. Meier, W., Peng, G., & Scott, D. (2012). Evaluation of a passive microwave sea ice concentration climate data record. 2012 AGU Fall Meeting. San Francisco, CA. Peng, G., Zhang, H.-M., Frank, H. P., Bidlot, J., Higaki, M., & Hankins, W. (2011). A comparison of various Equatorial Pacific surface wind products, Proc. IGARSS 2011, 24 –. Vancouver, Canada. Banzon, P. V., Peng, G., Semunegus, H., Shi, L., Zhao, X., & Bates, J. J. (2011). NOAA multi-decadal records of climate variability. WCRP Open Science Conference, 24 –. Denver, CO, USA. Shi, L., Peng, G., & Bates, J. J. (2011). Surface Air Temperature and Humidity from Intersatellite-Calibrated HIRS Measurements in High Latitudes. Journal of Atmospheric and Oceanic Technology, 29(1), 3–13. https://doi.org/10.1175/JTECH-D-11-00024.1 Peng, G., Fukumori, I., & Harrison, M. (2010). Ocean data assimilation with a global coupled climate model – an assessment of skill and impact. Ocean Science 2010 Conference, – 26, Portland, OR, USA. Kourafalou, V. H., Peng, G., Kang, H. S., Hogan, P. J., Smedstad, O.-M., & Weisberg, R. H. (2009). Evaluation of Global Ocean Data Assimilation Experiment products on South Florida nested simulations with the Hybrid Coordinate Ocean Model. Ocean Dynamics, 59(1), 47–66. https://doi.org/10.1007/s10236-008-0160-7 Peng, G., Garraffo, Z., Halliwell, G. R., Smedstad, O. M., Meinen, C. S., Kourafalou, V., … Wells, D. S. (2009). TEMPORAL VARIABILITY OF THE FLORIDA CURRENT TRANSPORT AT 27 degrees N. Ocean Circulation and El Nino: New Research, 119–137. Retrieved from http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=ORCID&SrcApp=OrcidOrg&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=WOS:000269226600005&KeyUID=WOS:000269226600005 Variability of the Florida Current transport at 27N. (2009). In Ocean Circulation and El Nino: New Research. Retrieved from https://www.novapublishers.com/catalog/product_info.php?products_id=16439 Peng, G., Chassignet, E. P., Kwon, Y.-O., & Riser, S. C. (2006). Investigation of variability of the North Atlantic Subtropical Mode Water using profiling float data and numerical model output. Ocean Modeling, 13(1), 65–85. https://doi.org/10.1016/j.ocemod.2005.07.001 Kourafalou, V. H., Lee., T., Balotro, R., Peng, G., Johns, L., Ortner, P., … Townsend, T. (2006). Seasonal variability of circulation and salinity around Florida Bay and the Florida Keys: SoFLA-HYCOM results and comparison to in-situ data. In RSMAS Technical Report 4 (p. 102) [RSMAS Technical Report 4,]. Kourafalou, V. H., Lee., T., Balotro, R., Peng, G., Johns, L., Ortner, P., … Townsend, T. (2006). The SoFLA-HYCOM (South Florida HYCOM): Atmospheric and ocean modeling support for boundary inputs to the Florida Bay Hydrodynamic model. In Technical report to SFWMD (p. 74) [Technical report to SFWMD,]. Peng, G., Chassignet, E. P., Kwon, Y.-O., & Riser, S. C. (2004, June). Investigation of the Temporal and Spatial Variability of the North Atlantic Subtropical Mode Water Using Float Data and Numerical Model Outputs. Peng, G., Olson, D. B., & Liu, T. (2004). Simulated Somali coastal oceanic response to various atmospheric wind products during fall transitions. In RSMAS technical report 2004-004. Peng, G. (2004). Validation of a global reanalysis model in representing synoptic scale eddies using the scatterometer data: A case study. Geophys. Res. Lett, 31(16), L16201. https://doi.org/10.1029/2004GL020297 Peng, G., Rooth, C., Fine, R., Bleck, R., & Chassignet, E. (2000). Off line computation of oceanic tracer dispersal based on stored data fields from an intermediate resolution ocean circulation model. AGU 2000 Ocean Sciences Meeting, 80(49), 24–28, San Antonio, TX. Rooth, C., Fine, R., Peng, G., Bleck, R., & Chassignet, E. (2000). Use of tracers in MICOM to classify climate-relevant North Atlantic circulation transients. AGU 2000 Ocean Sciences Meeting, 80(49), 24–28, San Antonio, TX. Peng, G., Mooers, C. N. K., & Graber, H. C. (1999). Coastal winds in south Florida. Journal of Applied Meteorology, 38(12), 1740–1757. https://doi.org/10.1175/1520-0450(1999)038<1740:CWISF>2.0.CO;2 Peng, G., Olson, D. B., Esenkov, O., & Samuels, G. (1997). Simulated oceanic response to various atmospheric forcings in the Arabian Sea coastal region. S76, AGU 97 Spring meeting, 78(17). Campos, E., Volhote, D., Olson, D. B., & Peng, G. (1997). Simulations of the Southwestern South Atlantic coastal flows with different wind products. AGU 97 Spring meeting, 78(17). Baltimore, MD. Peng, G., Esenkov, O., & Olson, D. B. (1996). Biological responses to the Monsoons in the Arabian Sea. AGU 96 Fall meeting, 77(46). San Francisco, CA. Peng, G., & Mooers, C. N. K. (1996). Simulations of the South Florida sea breeze regime. In South Florida Oil Spill Research Center technical report (p. 45). Peng, G., Mooers, C. N. K., & Graber, H. C. (1996). Statistical characteristics of South Florida Coastal-Marine Automatic Network Data. In South Florida Oil Spill Research Center technical report (p. 24). Peng, G., & Mooers, C. N. K. (1995). Preliminary implementation of a South Florida mesoscale model. 14th Conference on Weather Analysis and Forecasting, 15–20. January, Dallas, TX, AMS. LIFE ON THE EDGE: MARINE LIFE AND FRONTS. (1994). Oceanography, 7. HALLIWELL, G. R., PENG, G., & OLSON, D. B. (1994). STABILITY OF THE SARGASSO SEA SUBTROPICAL FRONTAL ZONE. Journal of Physical Oceanography, 24(6), 1166–1183. https://doi.org/10.1175/1520-0485(1994)024<1166:SOTSSS>2.0.CO;2 Peng, G., & Mooers, C. N. K. (1994). South Florida mesoscale model (ARPS) for the sea-breeze regime. First South Florida Atmospheric Modeling Workshop. Miami, FL. Peng, G. (1993). A study of extra-tropical dry surface cyclone development from the potential vorticity perspective (Ph.D dissertation, p. 93). University of Miami. Olson, D. B., Peng, G., Halliwell, G. R., & Forbes, C. (1993). Evolution of turbulence as a function of initial flows on a beta-plane. Modeling of Oceanic Vortices. Amsterdam. Olson, D. B., Peng, G., Davis, C. S., & Flierl, G. R. (1993). Modeling the biophysical response to Gulf Stream meandering. The Oceanography Society: Third Scientific Meeting. Seattle, Washington. Peng, G., & Bleck, R. (1993). The life cycle of dry surface cyclone development arising from potential vorticity anomalies in a westerly jet. Ninth Conference on Atmospheric and Oceanic Waves and Stability, 10, – 14. San Antonio, TX. Bleck, R., & Peng, G. (1989). Numerical model errors affecting the simulation of Lee cyclogenesis. International Conference on Mountain Meteorology and ALPEX. Garmisch-Partenkirchen, F.R.G.