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quasikagome-lattice compound CeRh
Pd
Sn investigated using muon spin relaxation and neutron scatteringTripathi, R.*; Adroja, D. T.*; Ritter, C.*; Sharma, S.*; Yang, C.*; Hillier, A. D.*; Koza, M. M.*; Demmel, F.*; Sundaresan, A.*; Langridge, S.*; et al.
Physical Review B, 106(6), p.064436_1 - 064436_17, 2022/08
Times Cited Count：2 Percentile：34.67(Materials Science, Multidisciplinary)Katata, Genki; Regalado, C.*; Ritter, A.*; Nagai, Haruyasu
Estudios de la Zona no Saturada del Suelo, p.393 - 400, 2009/11
A one-dimensional multilayer atmosphere-soil-vegetation model (SOLVEG) that includes fog deposition onto vegetation was used to quantify the distribution of water content in the vadose zone and the amount of intercepted fog reaching the ground in a "laurisilva" watershed of the Garajonay National Park. The model allows both fog water deposition onto broad laurel-type leaves and fog collection by needle-like leaves in a mixed tree heath-laurel forest to be included. Measurements made of both the soil water content in the top soil layers and the transpiration rate were compared with SOLVEG predictions. The annual fog deposition on the forest soil was estimated to be 110 mm, which corresponds to 18% of annual precipitation. Further studies are necessary to reduce the uncertainties in the simulation parameters, and in order to obtain better estimates of fog water deposition and its impact on water resources in the laurel forest.
Fournier, C.*; Barberet, P.*; Pouthier, T.*; Ritter, S.*; Fischer, B.*; Voss, K.-O.*; Funayama, Tomoo; Hamada, Nobuyuki*; Kobayashi, Yasuhiko; Taucher-Scholz, G.*
Radiation Research, 171(5), p.530 - 540, 2009/05
Times Cited Count：44 Percentile：76.99(Biology)Ritter, A.*; Katata, Genki; Regalado, C.*; Nagai, Haruyasu
no journal, ,
SOLVEG is a one-dimensional multilayer atmosphere-soil-vegetation model including fog deposition onto vegetation. However the complexity of the processes described by SOLVEG involves the use of many parameters not always readily available. We describe how an inverse parameter estimation algorithm, based on the Global Multilevel Coordinate Search (GMCS), coupled to SOLVEG can be used to determine model parameters. Focusing on the soil hydraulic parameters, which typically suffer from large uncertainty, we applied this inverse GMCS procedure to optimize such parameters from top soil water content time series measured in a laurel cloud forest of the Garajonay National Park (Canary Islands, Spain).
