GSWP-2 Multimodel Analysis and Implications for Our Perception of the Land Surface
By P. Dirmeyer, Xiang Gao, Mei Zhao, Zhichang Guo, Taikan Oki, N. Hanasaki. 2006
704 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/5db0a2eab69dad723799ac86e51401cc094c8d4d
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In Atmospheric Science
- Gordon Bonan
- Hoshin V. Gupta
- B. Medlyn
- A. Slater
- D. Lawrence
- S. Swenson
- Ying Ping Wang
- I. C. Prentice
In Global and Planetary Change
- Hoshin V. Gupta
- M. Clark
- Gordon Bonan
- Jasper A. Vrugt
- B. Medlyn
- Charles Perrin
- Vazken Andréassian
- D. Lawrence
Citations in the corpus
- Parameterization improvements and functional and structural advances in Version 4 of the Community Land Model (2011, result): “By comparison, the multi-model ensemble results from GSWP-2 give a global ET partitioning of transpiration (48%), ground evaporation (36%), and canopy evaporation (16%) ( Dirmeyer et al. 2006 ).”
- Large-sample hydrology: a need to balance depth with breadth (2013, background): “…a single dominant-process representation for the land-surface water-energy-carbon response component in Regional and General Circulation Models used for weather forecasting and climate studies (Dirmeyer et al., 2006), wherein parameters are universally specified based on soil and vegetation type.”
- Reliable, robust and realistic: the three R's of next-generation land-surface modelling (2014, background): “…et al., 1998a).25 Despite the achievements of PILPS, and subsequent projects with more specific goals including GSWP (Global Soil Wetness Project: Dirmeyer et al., 1999; 2006), GLACE (Global Land Atmosphere Coupling Experiment: Koster et al., 2004; 2010) and ACPD 14, 24811–24861, 2014 The three…”
- The Observed State of the Water Cycle in the Early Twenty-First Century (2015, background): “1986) and of large-scale hydrological models (Vörösmarty et al. 1989; Dirmeyer et al. 2006) has fostered a new generation of global water budget studies that supplement traditionally sparse hydrologic observations with global model output.”
- Correlations among leaf traits provide a significant constraint on the estimate of global gross primary production (2012, methodology): “The meteorological forcing from the global soil wetness project II (GSWPII) [see Dirmeyer et al., 2006] for 1990 was used as input to CABLE.”