Ge Peng

Crosswalks among stewardship maturity assessment approaches promoting trustworthy FAIR data and repositories

SCIENTIFIC DATA, 9(1).

Global Community Guidelines for Documenting, Sharing, and Reusing Quality Information of Individual Digital Datasets

Data Science Journal.

Call to Action for Global Access to and Harmonization of Quality Information of Individual Earth Science Datasets

Data Science Journal.

International Community Guidelines for Sharing and Reusing Quality Information of Individual Earth Science Datasets

Peng, G., Lacagnina, C., Ivánová, I., Downs, R. R., Ramapriyan, H., Ganske, A., … Roux, J. (2021, April 16). (Vol. 4). Vol. 4.

International Community Guidelines for Sharing and Reusing Quality Information of Individual Earth Science Datasets

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

Lacagnina, C., Peng, G., Ivanova, I., Downs, R., Ramapriyan, H., Moroni, D., … Ganske, A. (2021, November 4).

Stewardship Best Practices for Improved Discovery and Reuse of Heterogeneous and Cross-Disciplinary Earth System Data

Peng, G., Smith, D., Wingo, S., & Ramachandran, R. (2021, December 10).

Stewardship Maturity Assessment Tools for Modernization of Climate Data Management

Data Science Journal.

Call to Action for Global Access to and Harmonization of Quality Information of Individual Earth Science Datasets

Peng, G., Downs, R. R., Lacagnina, C., Ramapriyan, H., Ivánová, I., Moroni, D. F., … Bugbee, K. (2020, December 15). (Vol. 12). Vol. 12.

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

Peng, G., Lacagnina, C., Downs, R. R., Ivanova, I., Moroni, D. F., Ramapriyan, H. K., … Larnicol, G. (2020, August 29).

Promoting Global Sharing of Earth System Science Data Through Free and Open Access Data Publication

Carlson, D., Elger, K., Peng, G., Wagner, J., & Klump, J. (2020, December 15).

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).

What Do Global Climate Models Tell Us about Future Arctic Sea Ice Coverage Changes?

CLIMATE, 8(1).

Bruce Barkstrom (1944–2018)

EOS, 100.

Practical Application of a Data Stewardship Maturity Matrix for the NOAA OneStop Project

Data Science Journal.

Regional variability of Arctic sea ice seasonal change climate indicators from a passive microwave climate data record

ENVIRONMENTAL RESEARCH LETTERS, 14(4).

Sea Ice Climate Normals for Seasonal Ice Monitoring of Arctic and Sub-Regions

Peng, G., Arguez, A., Meier, W. N., Vamborg, F., Crouch, J., & Jones, P. (2019, September). DATA, Vol. 4.

A Conceptual Enterprise Framework for Managing Scientific Data Stewardship

Data Science Journal.

ESIP Information Quality Cluster - Fostering collaborations in managing Earth Science Data Quality

Research Data Alliance (RDA) Europe,

Practical Application of a Data Stewardship Maturity Matrix for the NOAA OneStop Project

Peng, G., Milan, A., Ritchey, N. A., Partee, R. P., II, Zinn, S., McQuinn, E., … Collins, D. (2018, October 18). (Vol. 10). Vol. 10.

Sensitivity Analysis of Arctic Sea Ice Extent Trends and Statistical Projections Using Satellite Data

REMOTE SENSING, 10(2).

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.

The State of Assessing Data Stewardship Maturity – An Overview

Data Science Journal, 17.

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.

Data Stewardship Maturity Matrix – Introduction and Application

Library of Congress Annual Digital Preservation - DSA Meeting. http://www.digitalpreservation.gov/meetings/DSA2017/Day_1/10_CP_Part_1_GePeng_NOAA.pdf

Design and implementation of automation tools for DSMM diagrams and reports

ESIP 2017 Winter Meeting, 11–13. Bethesda, MD, USA.

Ensuring and Improving Information Quality for Earth Science Data and Products

D.-Lib Magazine, 23.

Getting to know and to use DSMM

Peng, G. (2017, August 25).

Improving Stewardship of Scientific Data Through the Use of a Maturity Matrix – A Success Story

2017 NOAA Enterprise Data Management Workshop, 9, –. https://www.slideshare.net/gepeng86/improving-stewardship-of-scientific-data-through-use-of-a-maturity-matrix

Spatial and Temporal Means and Variability of Arctic Sea Ice Climate Indicators from Satellite Data

2017 American Geophysical Union Fall Meeting.

Temporal and regional variability of Arctic sea-ice coverage from satellite data

Annals of Glaciology, 76.

The State of Assessing Data Stewardship Maturity – An Overview

Peng, G. (2017, December 23). Open Science Framework, Vol. 23, pp. 7 2.

The State of Assessing Data Stewardship Maturity – An Overview

Peng, G. (2017, December 19). (Vol. 12). Vol. 12.

Towards Consistent and Citable Data Quality Descriptive Information for End-Users

2017 DataONE User Group Meeting, 24–25,

Towards consistent and citable data quality descriptive information for end-users

Federation Summer Meeting. Bloomington, IN.

A long-term global dataset of temperature and humidity profiles from HIRS

CLIVAR Open Science Conference. Qingdao, China.

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.

Assessing Stewardship Maturity of the Global Historical Climatology Network-Monthly (GHCN-M) Dataset: Use Case Study and Lessons Learned

D.-Lib Magazine, 22.

Challenges and Potential Approach in Search Relevance Ranking from a Dataset Maturity Perspective

ESIP 2016 Summer meeting. Durham, NC, USA.

Climate Normals and Variability of Arctic Sea Ice

CLIVAR Open Science Conference. Qingdao, China.

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.

Practical Application of the Data Stewardship Maturity Model for NOAA’s OneStop Project

AGU 2016 Fall Meeting. San Francisco, CA, USA.

Scientific Stewardship - What Is It and What Does It Mean to Us?

2016 CICS Joint Science Conference. Greenbelt, MD.

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).

Stewards – Knowledge and Communication Hub

Peng, G. (2016, May 19).

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.

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.

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.

A Unified Framework for Measuring Stewardship Practices Applied to Digital Environmental Datasets

Data Science Journal, 13.

Assessing information quality: Use case studies for the data stewardship maturity matrix

2015 AGU Fall meeting, 14–18. San Francisco, CA, USA.

Assessing stewardship maturity: use case study results and lessons learned

2015 AGU Fall meeting, 14–18. San Francisco, CA, USA.

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.

Improving information quality for Earth Science data and products – overview

2015 AGU Fall meeting, 14–18. San Francisco, CA, USA.

Increasing sharing, expanding user base, and estimating impact of your research data using service tools and social media

Peng, G., & Maycock, T. (2015, May 25). http://www.slideshare.net/gepeng86/peng-maycock-cicsncsharingusecase

Towards a Consistent Measure of Stewardship Practices

2015 ESIP Summer Meeting, 14–17. Asilomar, CO, USA.

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.

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

Data Science Journal.

Introduction to Scientific Data Stewardship Maturity Matrix

Peng, G. (2014, October 17).

Verification of a new NOAA/NSIDC passive microwave sea-ice concentration climate record

POLAR RESEARCH, 33.

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.

Evaluation of Various Surface Wind Products with OceanSITES Buoy Measurements

WEATHER AND FORECASTING, 28(6), 1281–1303.

Evaluation of Various Surface Wind Products with OceanSITES Buoy Measurements

Weather and Forecasting.

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.

A Low-Cost and Efficient Way to Archive Calibration/Validation Findings for Satellite Data

2012 AGU Fall Meeting. San Francisco, CA.

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.

J. Atmos. Oceanic. Tech.

Evaluation of a passive microwave sea ice concentration climate data record

2012 AGU Fall Meeting. San Francisco, CA.

A comparison of various Equatorial Pacific surface wind products,

Proc. IGARSS 2011, 24 –. Vancouver, Canada.

NOAA multi-decadal records of climate variability

WCRP Open Science Conference, 24 –. Denver, CO, USA.

Surface Air Temperature and Humidity from Intersatellite-Calibrated HIRS Measurements in High Latitudes

Journal of Atmospheric and Oceanic Technology, 29(1), 3–13.

Ocean data assimilation with a global coupled climate model – an assessment of skill and impact

Ocean Science 2010 Conference, – 26, Portland, OR, USA.

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.

TEMPORAL VARIABILITY OF THE FLORIDA CURRENT TRANSPORT AT 27 degrees N

Ocean Circulation and El Nino: New Research, 119–137. 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

In Ocean Circulation and El Nino: New Research. https://www.novapublishers.com/catalog/product_info.php?products_id=16439

Investigation of variability of the North Atlantic Subtropical Mode Water using profiling float data and numerical model output

Ocean Modeling, 13(1), 65–85.

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,].

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,].

Investigation of the Temporal and Spatial Variability of the North Atlantic Subtropical Mode Water Using Float Data and Numerical Model Outputs

Peng, G., Chassignet, E. P., Kwon, Y.-O., & Riser, S. C. (2004, June).

Simulated Somali coastal oceanic response to various atmospheric wind products during fall transitions

In RSMAS technical report 2004-004.

Validation of a global reanalysis model in representing synoptic scale eddies using the scatterometer data: A case study

Geophys. Res. Lett, 31(16), L16201.

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.

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.

Coastal winds in south Florida

Journal of Applied Meteorology, 38(12), 1740–1757.

Simulated oceanic response to various atmospheric forcings in the Arabian Sea coastal region

S76, AGU 97 Spring meeting, 78(17).

Simulations of the Southwestern South Atlantic coastal flows with different wind products

AGU 97 Spring meeting, 78(17). Baltimore, MD.

Biological responses to the Monsoons in the Arabian Sea

AGU 96 Fall meeting, 77(46). San Francisco, CA.

Simulations of the South Florida sea breeze regime

In South Florida Oil Spill Research Center technical report (p. 45).

Statistical characteristics of South Florida Coastal-Marine Automatic Network Data

In South Florida Oil Spill Research Center technical report (p. 24).

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

Oceanography, 7.

STABILITY OF THE SARGASSO SEA SUBTROPICAL FRONTAL ZONE

Journal of Physical Oceanography, 24(6), 1166–1183.

South Florida mesoscale model (ARPS) for the sea-breeze regime

First South Florida Atmospheric Modeling Workshop. Miami, FL.

A study of extra-tropical dry surface cyclone development from the potential vorticity perspective

(Ph.D dissertation, p. 93). University of Miami.

Evolution of turbulence as a function of initial flows on a beta-plane

Modeling of Oceanic Vortices. Amsterdam.

Modeling the biophysical response to Gulf Stream meandering

The Oceanography Society: Third Scientific Meeting. Seattle, Washington.

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.

Numerical model errors affecting the simulation of Lee cyclogenesis

International Conference on Mountain Meteorology and ALPEX. Garmisch-Partenkirchen, F.R.G.