EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Distributed Modeling: from REA to hillslope-resolving 

Christa Peters-Lidard
Christa Peters-Lidard
  • NASA Goddard Space Flight Center, Sciences and Exploration Directorate, Greenbelt, MD, United States of America (

Eric Wood's contributions to distributed modeling were partially motivated by a desire to test the REA hypothesis as well as by a desire to demonstrate the impact of remotely sensed data on hydrologic prediction.  In this brief talk, I will review the advances in distributed modeling, such as high-resolution terrain, distributed hydrometeorological forcings and soil-vegetation parameters, high performance computing and communications, data assimilation, coupled land-atmosphere modeling, that laid the foundation for macroscale and ultimately "hyperresolution" modeling.  These foundational advances exemplify the 3rd paradigm in hydrology and are moving us towards embracing a 4th paradigm in hydrology, where we enable a rigorous confrontation of our hypotheses embodied within our models with a range of data types across many locations and spatial-temporal scales.  

How to cite: Peters-Lidard, C.: Distributed Modeling: from REA to hillslope-resolving , EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3084,, 2022.


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