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Environmental Sciences

D-Index
49
Citations
9795
World Ranking
5206
National Ranking
1916

Research.com Recognitions

  • 2019 - Member of the National Academy of Engineering For contributions to understanding and prediction of precipitation dynamics and flood hazards in mountainous terrains.
  • 2017 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2014 - Fellow of American Geophysical Union (AGU)

Overview

Ana P. Barros is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research contributions primarily span the fields of Earth and Planetary Sciences and Environmental Science, with particular emphasis on Atmospheric Science, Environmental Engineering, Global and Planetary Change, Water Science and Technology, and aspects of Management, Monitoring, Policy and Law.

Their main research topics include cryospheric studies and observations, precipitation measurement and analysis, meteorological phenomena and simulations, hydrology and watershed management studies, soil moisture and remote sensing, climate change and permafrost, and climate variability and models.

They have authored several papers, including:

  • "Review article: Global monitoring of snow water equivalent using high-frequency radar remote sensing" (2022) published in The Cryosphere
  • "Snow Ensemble Uncertainty Project (SEUP): quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling" (2021) published in The Cryosphere
  • "Parsing Synthetic Aperture Radar Measurements of Snow in Complex Terrain: Scaling Behaviour and Sensitivity to Snow Wetness and Landcover" (2020) published in Remote Sensing
  • "Three-Dimensional Planetary Boundary Layer Parameterization for High-Resolution Mesoscale Simulations" (2020) published in Journal of Physics Conference Series
  • "Automatic detection and classification of low-level orographic precipitation processes from space-borne radars using machine learning" (2021) published in Remote Sensing of Environment

Frequent co-authors in their research include Mochi Liao, Peter K. Zeitler, T. W. Becker, Eric A. Davidson, and Nicolas Gruber.

The venues where they have most frequently published are:

  • AGU Advances
  • SSRN Electronic Journal
  • The Cryosphere
  • Remote Sensing
  • Remote Sensing of Environment

Barros has received several distinctions including being elected a Member of the National Academy of Engineering in 2019 for contributions to understanding and prediction of precipitation dynamics and flood hazards in mountainous terrains. They were also recognized as a Fellow of the American Association for the Advancement of Science (AAAS) in 2017 and a Fellow of the American Geophysical Union (AGU) in 2014.

Best Publications

  • Decoupling of erosion and precipitation in the Himalayas

    D. W. Burbank;A. E. Blythe;J. Putkonen;B. Pratt-Sitaula

  • Western Disturbances: A review

    A. P. Dimri;D. Niyogi;A. P. Barros;J. Ridley

  • Parameterization of vegetation backscatter in radar-based, soil moisture estimation

    Rajat Bindlish;Ana P Barros

  • The hydrology of the humid tropics

    Ellen Wohl;Ana Barros;Nathaniel Brunsell;Nick A. Chappell

  • Dynamic modeling of orographically induced precipitation

    Ana Paula Barros;Dennis P. Lettenmaier

  • A study of the 1999 monsoon rainfall in a mountainous region in central Nepal using TRMM products and rain gauge observations

    A. P. Barros;M. Joshi;J. Putkonen;D. W. Burbank

  • Probing orographic controls in the Himalayas during the monsoon using satellite imagery

    A. P. Barros;G. Kim;E. Williams;S. W. Nesbitt

  • Localized Precipitation Forecasts from a Numerical Weather Prediction Model Using Artificial Neural Networks

    Robert J. Kuligowski;Ana P. Barros

  • Winter storms in the central Himalayas

    Timothy J Lang;Ana P Barros

  • Monitoring the Monsoon in the Himalayas: Observations in Central Nepal, June 2001

    Ana P. Barros;Timothy J. Lang

  • Quantitative flood forecasting using multisensor data and neural networks

    Gwangseob Kim;Ana P Barros

  • Experiments in Short-Term Precipitation Forecasting Using Artificial Neural Networks

    Robert J. Kuligowski;Ana P. Barros

  • Downscaling of remotely sensed soil moisture with a modified fractal interpolation method using contraction mapping and ancillary data

    Gwangseob Kim;Ana P. Barros

  • Evaluation of MODIS Gross Primary Productivity (GPP) in tropical monsoon regions

    Mekonnen Gebremichael;Ana P. Barros

  • Multifrequency Soil Moisture Inversion from SAR Measurements with the Use of IEM

    Rajat Bindlish;Ana P. Barros

  • Space-time characterization of soil moisture from passive microwave remotely sensed imagery and ancillary data

    Gwangseob Kim;Ana P Barros

  • Dynamic Modeling of the Spatial Distribution of Precipitation in Remote Mountainous Areas

    Ana P. Barros;Dennis P. Lettenmaier

  • THE NAME 2004 FIELD CAMPAIGN AND MODELING STRATEGY

    Wayne Higgins;Dave Ahijevych;Jorge Amador;Ana Barros

  • An Investigation of the Onsets of the 1999 and 2000 Monsoons in Central Nepal

    Timothy J. Lang;Ana P. Barros

  • Probable Maximum Precipitation Estimation Using Multifractals: Application in the Eastern United States

    Ellen M. Douglas;Ana P. Barros

Frequent Co-Authors

Susan E. Trumbore
Susan E. Trumbore Max Planck Institute for Biogeochemistry
Timothy J. Lang
Timothy J. Lang Marshall Space Flight Center
Rajat Bindlish
Rajat Bindlish Goddard Space Flight Center
Bethany L. Ehlmann
Bethany L. Ehlmann University of Colorado Boulder
Dennis P. Lettenmaier
Dennis P. Lettenmaier University of California, Los Angeles
Bjorn Stevens
Bjorn Stevens Max Planck Society
Paul R. Houser
Paul R. Houser George Mason University
Eric A. Davidson
Eric A. Davidson University of Maryland Center For Environmental Sciences
Donald J. Wuebbles
Donald J. Wuebbles University of Illinois at Urbana-Champaign
Michael Durand
Michael Durand The Ohio State University

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