Guoqiang Tang

    flowchart
    A[Guoqiang Tang]
    AC["Associated Concepts (25)"]
    AW["Authored Works (11)"]
    CA["Linked Co-Authors (19)"]
    CI["Linked Collaborating Institutions (12)"]
    A== dcterms:relation ==>AC
    AW== author ==>A
    AW== author ==>CA
    AW== affil ==>CI
    click AC "#associated-concepts"
    click AW "#authored-works"
    click CA "#co-authors"
    click CI "#collaborating-institutions"

    NI["add incoming edge"]
    NO["add outgoing edge"]
    NI-- ? -->A
    A-- ? -->NO
    click NI "#add-incoming-edge"
    click NO "#add-outgoing-edge"
    style NI stroke-width:2px,stroke-dasharray: 5 5
    style NO stroke-width:2px,stroke-dasharray: 5 5

ORCiD

https://orcid.org/0000-0002-0923-583X

OpenAlex ID

https://openalex.org/A5011787930 (API record)

Associated Concepts [?]

• Physics
• Engineering
• Geography
• Meteorology
• Computer science
• Geology
• Environmental science
• Aerospace engineering
• Precipitation
• Telecommunications
• Climatology
• Mathematics
• Quantum mechanics
• Astronomy
• Thermodynamics
• Satellite
• Radar
• Mechanics
• Mechanical engineering
• Biology
• Oceanography
• Global Precipitation Measurement
• Statistics
• Remote sensing
• Ecology

Authored Works

sorted by decreasing year, and then by display-name

• The impact of meteorological forcing uncertainty on hydrological modeling in representative cryosphere basins on the global scale
• Evaluating and intercomparing satellite and reanalysis precipitation products by using decision trees
• Advancing capabilities of terrestrial system models
• A New Spin on Global Sensitivity Analysis: Sensitivity Analysis of the SUMMA Model on the Global Scale
• The abuse of popular performance metrics in hydrologic modeling
• Temperature Extremes Under Global Warming Using the SC-Earth Dataset
• Discrepancies in Koppen-Geiger Climate Classification Using Ten Global Gridded Products
• Characterizing global hydrological modeling uncertainties using the Ensemble Meteorological Dataset for Planet Earth (EM-Earth)
• Advancing the science and practice of community hydrologic modeling: Development of open-source models, methods, and datasets to enable process-based hydrologic prediction across North America (and beyond)
• A novel approach to systematically evaluate precipitation datasets using decision trees
• A new spin on global sensitivity analysis: worldwide sensitivity analysis of the SUMMA model

Linked Co-Authors

• A. W. Wood
• Andrew Bennett
• Andrew J. Newman
• Ashley E. Van Beusekom
• Bart Nijssen
• Dev Niyogi
• Hongli Liu
• Hylke E. Beck
• Jonathan R. Lamontagne
• Kevin Shook
• Louise Arnal
• Martyn P. Clark
• Paul H. Whitfield
• Raymond J. Spiteri
• S. Papalexiou
• Shervan Gharari
• Wouter Knoben
• Zhi Li
• Zong‐Liang Yang

Linked Collaborating Institutions

• Indian Institute of Science, Bangalore
• Ispra, European Commission Joint Research Centre, Italy
• National Center for Atmospheric Research, Colorado
• Technical University of Athens, Greece
• Tufts University, Massachusetts
• University of Arizona
• University of Calgary, Canada
• University of California, Irvine
• University of Oklahoma, Norman
• University of Saskatchewan, Canada
• University of Texas, Austin
• University of Washington, Seattle

Add Incoming Edge

Login via ORCiD to contribute.

Add Outgoing Edge

Login via ORCiD to contribute.