| Literature DB >> 28513585 |
Lukas Gudmundsson1, Peter Greve1, Sonia I Seneviratne1.
Abstract
Entities:
Year: 2017 PMID: 28513585 PMCID: PMC5442308 DOI: 10.1038/ncomms14795
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 14.919
Figure 1The relative contribution of m to changes in the water yield coefficient.
(a, Theoretical illustration; b, global application) show inferred relative contribution of m to changes in the water yield coefficient using the C definition of Z15 (equation (2)). (c,d) show (equation (4)) which is derived using the approach of Z15 but from a rearranged version of the governing equation. The difference between C and highlights issues with the integrity of the approach proposed by Z15, as both are aiming at quantifying the relative contribution of m on the water yield coefficient. Note that is computed using the inverse wetness index (&φ;=ψ−1) but is plotted against the wetness index in c to facilitate a visual comparison with the other panels. Note that a–d make implicit but physically not meaningful assumptions on changes in both the wetness index (ψ) and all other factors (m) as discussed in the text. (e,f) show C, a revised quantification of the relative contribution of m to changes in the water yield coefficient, that makes the physically meaningful assumption that both m and ψ do exhibit the same relative change (equation (6)). Note that the results are sensitive to this assumption, and will change, for example, if the change in ψ does not have the same relative change as m4. The global analysis is based on long-term mean precipitation, runoff and net radiation (R) from the ERA-Interim/Land Data7, where net radiation was expressed in water equivalent units and acts as a first-order estimate of potential evapotranspiration (that is, E=R/λ, where λ is the latent heat of vaporisation). The parameter m was identified by fitting equation (1) to the above mentioned data at each grid-cell.