D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Environmental Sciences D-index 38 Citations 7,709 62 World Ranking 3682 National Ranking 1596

Overview

What is he best known for?

The fields of study he is best known for:

  • Statistics
  • Meteorology
  • Precipitation

The scientist’s investigation covers issues in Precipitation, Meteorology, Climatology, Plateau and Latitude. His research in Precipitation intersects with topics in Doppler radar and Data assimilation. His study in Meteorology is interdisciplinary in nature, drawing from both False alarm, Infiltration and Statistical power.

Yudong Tian interconnects Satellite precipitation and Seasonality in the investigation of issues within Climatology. His PERSIANN research is multidisciplinary, incorporating perspectives in Snow, Range and Component analysis. His Tropical rainfall study incorporates themes from Global Precipitation Measurement, Remote sensing and Quantitative precipitation estimation.

His most cited work include:

  • Advanced spectral methods for climatic time series (1661 citations)
  • Land information system: An interoperable framework for high resolution land surface modeling (395 citations)
  • Component analysis of errors in satellite-based precipitation estimates (240 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Precipitation, Meteorology, Remote sensing, Climatology and Quantitative precipitation estimation. His Precipitation analysis study, which is part of a larger body of work in Precipitation, is frequently linked to Latitude, bridging the gap between disciplines. His work in Meteorology tackles topics such as Flood myth which are related to areas like Streamflow and Hydrological modelling.

His research in the fields of Radiometer overlaps with other disciplines such as Emissivity and High resolution. His Climatology research incorporates themes from Hydrometeorology and Correlation coefficient. His biological study spans a wide range of topics, including Quantitative precipitation forecast, Severe weather and Satellite imagery.

He most often published in these fields:

  • Precipitation (65.93%)
  • Meteorology (60.44%)
  • Remote sensing (39.56%)

What were the highlights of his more recent work (between 2013-2017)?

  • Precipitation (65.93%)
  • Meteorology (60.44%)
  • Remote sensing (39.56%)

In recent papers he was focusing on the following fields of study:

Yudong Tian spends much of his time researching Precipitation, Meteorology, Remote sensing, Emissivity and Atmospheric sciences. His Precipitation research includes themes of Snow, Climatology and Ground-penetrating radar. His research in the fields of Diurnal cycle overlaps with other disciplines such as Climate model and Plateau.

His research integrates issues of Streamflow and Flood myth in his study of Meteorology. The concepts of his Flood myth study are interwoven with issues in Drainage basin and Hydrological modelling. His Remote sensing research includes elements of Calibration and Hydrology.

Between 2013 and 2017, his most popular works were:

  • Real-time global flood estimation using satellite-based precipitation and a coupled land surface and routing model (168 citations)
  • Real-time global flood estimation using satellite-based precipitation and a coupled land surface and routing model (168 citations)
  • Global View Of Real-Time Trmm Multisatellite Precipitation Analysis: Implications For Its Successor Global Precipitation Measurement Mission (147 citations)

In his most recent research, the most cited papers focused on:

  • Statistics
  • Meteorology
  • Precipitation

Yudong Tian mainly investigates Meteorology, Precipitation, Remote sensing, Quantitative precipitation estimation and Latitude. The study incorporates disciplines such as False alarm, Stochastic modelling, False positive rate and Measure in addition to Meteorology. Yudong Tian has researched Precipitation in several fields, including Probability distribution and Data set.

His studies deal with areas such as Special sensor microwave/imager and Ground-penetrating radar as well as Remote sensing. Yudong Tian combines subjects such as Quantitative precipitation forecast, Snow and Brightness temperature with his study of Quantitative precipitation estimation. His study of Latitude brings together topics like Statistical power, Infiltration, Synthetic aperture radar, Flood myth and Streamflow.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Advanced spectral methods for climatic time series

Michael Ghil;M. R. Allen;M. D. Dettinger;Kayo Ide.
Reviews of Geophysics (2002)

2162 Citations

Land information system: An interoperable framework for high resolution land surface modeling

S. V. Kumar;C. D. Peters-Lidard;Y. Tian;P. R. Houser.
Environmental Modelling and Software (2006)

545 Citations

Multitemporal Analysis of TRMM-Based Satellite Precipitation Products for Land Data Assimilation Applications

Yudong Tian;Christa D. Peters-Lidard;Bhaskar J. Choudhury;Matthew Garcia.
Journal of Hydrometeorology (2007)

309 Citations

Component analysis of errors in satellite-based precipitation estimates

Yudong Tian;Yudong Tian;Christa D. Peters-Lidard;John B. Eylander;Robert J. Joyce.
Journal of Geophysical Research (2009)

292 Citations

A global map of uncertainties in satellite‐based precipitation measurements

Yudong Tian;Yudong Tian;Christa D. Peters‐Lidard.
Geophysical Research Letters (2010)

241 Citations

Real-time global flood estimation using satellite-based precipitation and a coupled land surface and routing model

Huan Wu;Huan Wu;Robert F. Adler;Robert F. Adler;Yudong Tian;Yudong Tian;George J. Huffman.
Water Resources Research (2014)

213 Citations

High-performance Earth system modeling with NASA/GSFC’s Land Information System

Christa D. Peters-Lidard;Paul R. Houser;Yudong Tian;Sujay V. Kumar.
Innovations in Systems and Software Engineering (2007)

205 Citations

Similarity and difference of the two successive V6 and V7 TRMM multisatellite precipitation analysis performance over China

Sheng Chen;Yang Hong;Qing Cao;Jonathan J. Gourley.
Journal of Geophysical Research (2013)

173 Citations

Global View Of Real-Time Trmm Multisatellite Precipitation Analysis: Implications For Its Successor Global Precipitation Measurement Mission

Bin Yong;Die Liu;Jonathan J. Gourley;Yudong Tian.
Bulletin of the American Meteorological Society (2015)

169 Citations

Evaluation of Global Flood Detection Using Satellite-Based Rainfall and a Hydrologic Model

Huan Wu;Robert F. Adler;Yang Hong;Yudong Tian.
Journal of Hydrometeorology (2012)

163 Citations

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Yang Hong

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National Aeronautics and Space Administration

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Soroosh Sorooshian

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Matthew Rodell

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Christopher Hain

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