Land information system: An interoperable framework for high resolution land surface modeling
By Sujay V. Kumar, Christa D. Peters-Lidard, Yudong Tian, Paul R. Houser, J. Geiger, S. Olden, L. Lighty, J. Eastman, B. Doty, P. Dirmeyer. Environmental Modelling & Software, 2006
710 citations recorded by the source corpus.
Subfields: Building and Construction, Geography, Planning and Development, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/b59ec221ffdabb025efe3ef7fec3d7e2474ff4f6
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In Building and Construction
In Water Science and Technology
- M. Clark
- Jasper A. Vrugt
- Fabrizio Fenicia
- Dmitri Kavetski
- Yuqiong Liu
- Albrecht H. Weerts
- Hoshin V. Gupta
- H. H. Franssen
Citations in the corpus
- Pursuing the method of multiple working hypotheses for hydrological modeling (2011, methodology): “In addition to tying together themes raised as key challenges in previous commentaries [e.g., Beven, 2006a, 2008; Blöschl, 2006; Dunn et al., 2008; Gupta et al., 2008; Kirchner, 2006; McDonnell et al., 2007; Savenije, 2001, 2009; Sivapalan, 2009; Soulsby et al., 2008; Tetzlaff et al., 2008; Troch…”
- THE GLOBAL PRECIPITATION MEASUREMENT (GPM) MISSION FOR SCIENCE AND SOCIETY. (2017, neutral): “The NASA Land Information System (LIS; Kumar et al. 2006; Peters-Lidard et al. 2007) runs operationally at the Short-term Prediction Research and Transition Center (Jedlovec 2013; Zavodsky et al. 2013; Case et al. 2016; https://nasasport.wordpress.com /category/land-information-system-lis/ ) at…”
- Advancing data assimilation in operational hydrologic forecasting: progresses, challenges, and emerging opportunities (2012, background): “Additional funding for the first author was provided by the National Aeronautics and Space Administration (NASA) under Grant NNX08AU51G.”