Richard Crago
Bucknell University
H-index: 20
North America-United States
Top articles of Richard Crago
What is the Priestley–Taylor wet-surface evaporation parameter? Testing four hypotheses
Hydrology and Earth System Sciences
2023/9/8
A thermodynamics-based versatile evapotranspiration estimation method of minimum data requirement for water resources investigations
Journal of Hydrology
2023/9/1
A graphical interpretation of the rescaled complementary relationship for evapotranspiration
Water Resources Research
2021/8
Power-function expansion of the nondimensional complementary relationship of evaporation: the emergence of dual attractors
Authorea Preprints
2022/11/22
Power‐function expansion of the polynomial complementary relationship of evaporation
Water Resources Research
2022/11
What is the Priestley-Taylor Wet-Surface Evaporation Parameter? Testing Four Hypotheses
EGUsphere
2022/10/24
Richard Crago
H-Index: 10
Complementary Relationship for evaporation performance at different spatial and temporal scales
Journal of Hydrology
2022/5/1
Comment on:“A review of the complementary principle of evaporation: from the original linear relationship to generalized nonlinear functions” by Han and Tian (2020)
2021/1/4
Reply to comment by S. Han and F. Tian on" A calibration-free formulation of the complementary relationship of evaporation for continental-scale hydrology"
2021
Wet Surface Evaporation Insight from Temperature-Vapor Pressure Diagrams
AGU Fall Meeting Abstracts
2020/12
Graphical interpretation of wet surface evaporation equations
Water Resources Research
2020/10
Dynamic scaling of the generalized complementary relationship improves long-term tendency estimates in land evaporation
Advances in Atmospheric Sciences
2020/9
Richard Crago
H-Index: 10
Ning Ma
H-Index: 4
Comment on: A review of the complementary principle of evaporation: From the original linear relationship to generalized nonlinear functions by S. Han and F. Tian
2020/7/20
Reply to “Comment on ‘Two papers about the generalized complementary evaporation relationships by Crago et al.’”
Water Resources Research
2020/3
Combining MODIS LAI with ICESat-Based Canopy Heights Improves Spaceborne Estimates of Vegetation Roughness Length for Momentum
2020/1/12
Co-Authors
