The effects of topographic depressions on multiscale overland flow connectivity: A high‐resolution spatiotemporal pattern analysis approach based on connectivity statistics

2019 ◽  
Vol 33 (10) ◽  
pp. 1403-1419 ◽  
Author(s):  
Feng Yu ◽  
Jonathan M. Harbor
2020 ◽  
Author(s):  
Bernd Schalge ◽  
Gabriele Baroni ◽  
Barbara Haese ◽  
Daniel Erdal ◽  
Gernot Geppert ◽  
...  

Abstract. Coupled numerical models, which simulate water and energy fluxes in the subsurface-land surface-atmosphere system in a physically consistent way are a prerequisite for the analysis and a better understanding of heat and matter exchange fluxes at compartmental boundaries and interdependencies of states across these boundaries. Complete state evolutions generated by such models may be regarded as a proxy of the real world, provided they are run at sufficiently high resolution and incorporate the most important processes. Such a virtual reality can be used to test hypotheses on the functioning of the coupled terrestrial system. Coupled simulation systems, however, face severe problems caused by the vastly different scales of the processes acting in and between the compartments of the terrestrial system, which also hinders comprehensive tests of their realism. We used the Terrestrial Systems Modeling Platform TerrSysMP, which couples the meteorological model COSMO, the land-surface model CLM, and the subsurface model ParFlow, to generate a virtual catchment for a regional terrestrial system mimicking the Neckar catchment in southwest Germany. Simulations for this catchment are made for the period 2007–2015, and at a spatial resolution of 400 m for the land surface and subsurface and 1.1 km for the atmosphere. Among a discussion of modelling challenges, the model performance is evaluated based on real observations covering several variables of the water cycle. We find that the simulated (virtual) catchment behaves in many aspects quite close to observations of the real Neckar catchment, e.g. concerning atmospheric boundary-layer height, precipitation, and runoff. But also discrepancies become apparent, both in the ability of the model to correctly simulate some processes which still need improvement such as overland flow, and in the realism of some observation operators like the satellite based soil moisture sensors. The whole raw dataset is available for interested users. The dataset described here is available via the CERA database (Schalge et al., 2020): https://doi.org/10.26050/WDCC/Neckar_VCS_v1.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Lin Hu ◽  
Weimin Bao ◽  
Peng Shi ◽  
Jianjin Wang ◽  
Meixia Lu

1977 ◽  
Vol 28 (2) ◽  
pp. 223 ◽  
Author(s):  
R Shorter ◽  
DE Byth ◽  
VE Mungomery

A pattern analysis approach, based on classification and ordination, is presented for the characterization of environmental contributions to differences among lines in mean performance and response across environments. Other approaches to the analysis of line performance and environmental interactions are also considered. A population of soybean lines is used to illustrate the analyses for two characters, seed yield and seed protein percentage. In general, correlation of line performance over environments indicated that only moderate similarity of relative line performance existed over years or locations. These associations did not provide a clear basis for rationalization of test sites. Partitioning of variance components allowed a general strategy for sampling environments to be defined. Marked differences existed among environments for their contribution to environmental interaction, and these generally were consistent among locations for the two years of testing. Classificatory and ordination analyses were applied separately, and the contributions of each of the test environments were determined. These procedures confirmed that large differences in line response existed among environments, and provided additional and complementary information about the contributions of particular test environments to those differences. The effect of abandoning particular test sites on the recognition of differences among lines was examined by pattern analysis. The implications of the information gained through the pattern analysis approach in the development of testing strategies, and in the selection of test environments for specific objectives, are discussed.


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