Hydrological consistency using multi-sensor remote sensing data for water and energy cycle studies

Matthew McCabe*, E. F. Wood, R. Wójcik, M. Pan, J. Sheffield, H. Gao, H. Su

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

96 Scopus citations


A multi-sensor/multi-platform approach to water and energy cycle prediction is demonstrated in an effort to understand the variability and feedback of land surface and atmospheric processes over large space and time scales. Remote sensing-based variables including soil moisture (from AMSR-E), surface heat fluxes (from MODIS) and precipitation rates (from TRMM) are combined with North American Regional Reanalysis derived atmospheric components to examine the degree of hydrological consistency throughout these diverse and independent hydrologic data sets. The study focuses on the influence of the North American Monsoon System (NAMS) over the southwestern United States, and is timed to coincide with the SMEX04 North American Monsoon Experiment (NAME). The study is focused over the Arizona portion of the NAME domain to assist in better characterizing the hydrometeorological processes occurring across Arizona during the summer monsoon period. Results demonstrate that this multi-sensor approach, in combination with available atmospheric observations, can be used to obtain a comprehensive and hydrometeorologically consistent characterization of the land surface water cycle, leading to an improved understanding of water and energy cycles within the NAME region and providing a novel framework for future remote observation and analysis of the coupled land surface-atmosphere system.

Original languageEnglish (US)
Pages (from-to)430-444
Number of pages15
JournalRemote Sensing of Environment
Issue number2
StatePublished - Feb 15 2008


  • AMSR-E
  • Atmospheric processes
  • Climate dynamics
  • Data assimilation
  • Evapotranspiration
  • Feedback
  • Hydrological consistency
  • Hydrological cycle
  • Hydrology
  • Hydrometeorology
  • Land surface temperature
  • Multi-sensor
  • NAME
  • NAMS
  • North American Monsoon System
  • Remote sensing
  • SMEX
  • Satellite
  • Soil moisture
  • TRMM

ASJC Scopus subject areas

  • Soil Science
  • Geology
  • Computers in Earth Sciences


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