World Library  


Add to Book Shelf
Flag as Inappropriate
Email this Book

Toposub: a Tool for Efficient Large Area Numerical Modelling in Complex Topography at Sub-grid Scales : Volume 5, Issue 2 (02/05/2012)

By Fiddes, J.

Click here to view

Book Id: WPLBN0004009339
Format Type: PDF Article :
File Size: Pages 36
Reproduction Date: 2015

Title: Toposub: a Tool for Efficient Large Area Numerical Modelling in Complex Topography at Sub-grid Scales : Volume 5, Issue 2 (02/05/2012)  
Author: Fiddes, J.
Volume: Vol. 5, Issue 2
Language: English
Subject: Science, Geoscientific, Model
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2012
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Gruber, S., & Fiddes, J. (2012). Toposub: a Tool for Efficient Large Area Numerical Modelling in Complex Topography at Sub-grid Scales : Volume 5, Issue 2 (02/05/2012). Retrieved from http://www.hawaiilibrary.com/


Description
Description: Glaciology, Geomorphodynamics & Geochronology, Department of Geography, University of Zurich, Switzerland. Mountain regions are highly sensitive to global climate change. However, large scale assessments of mountain environments remain problematic due to the high resolution required of model grids to capture strong lateral variability. To alleviate this, tools are required to bridge the scale gap between gridded climate datasets (climate models and re-analyses) and unresolved (by coarse grids) sub-grid mountain topography. We address this problem with a sub-grid method. It relies on sampling the most important aspects of land surface heterogeneity through a lumped scheme, allowing for the application of numerical land surface models (LSM) over large areas in mountain regions. This is achieved by including the effect of mountain topography on these processes at the sub-grid scale using a multidimensional informed sampling procedure together with a 1-D lumped model that can be driven by gridded climate datasets. This paper provides a description of this sub-grid scheme, TopoSUB, as well as assessing its performance against a distributed model. We demonstrate the ability of TopoSUB to approximate results simulated by a distributed numerical LSM at around 104 less computations. These significant gains in computing resources allow for: (1) numerical modelling of processes at fine grid resolutions over large areas; (2) extremely efficient statistical descriptions of sub-grid behaviour; (3) a sub-grid aware aggregation of simulated variables to course grids; and (4) freeing of resources for treatment of uncertainty in the modelling process.

Summary
TopoSUB: a tool for efficient large area numerical modelling in complex topography at sub-grid scales

Excerpt
Beven, K.: How far can we go in distributed hydrological modelling?, Hydrol. Earth Syst. Sci., 5, 1–12, doi:10.5194/hess-5-1-2001, 2001.; Boeckli, L., Brenning, A., Gruber, S., and Noetzli, J.: A statistical approach to modelling permafrost distribution in the European Alps or similar mountain ranges, The Cryosphere, 6, 125–140, doi:10.5194/tc-6-125-2012, 2012.; Burrough, P. A., van Gaans, P. F. M., and MacMillan, R. A.: High-resolution landform classification using fuzzy k-means, Fuzzy Sets and Systems, 113, 37–52, 2000.; Hartigan, J. A. and Wong, M. A.: A k-means clustering algorithm, Journal of the Royal Statistical Society, Series C, Applied statistics, 28, 100–108, 1979.; Avissar, R.: A statistical-dynamical approach to parameterize subgrid-scale land-surface heterogeneity in climate models, Surveys in Geophysics, 12, 155–178, 1991.; Avissar, R. and Pielke, R. A.: A parameterization of heterogenous land surfaces or atmospheric numerical models and its impact on regional meteorology), Mon. Weather Rev., 117, 2113–2136, 1989.; Barnett, T. P., Adam, J. C., and Lettenmaier, D. P.: Potential impacts of a warming climate on water availability in snow-dominated regions, Nature, 438, 303–309, 2005.; Barry, R. G.: The status of research on glaciers and global glacier recession: a review, Progress in Physical Geography, 30, 285, 2006.; Bartelt, P. and Lehning, M.: A physical SNOWPACK model for the Swiss avalanche warning:: Part I: numerical model, Cold Reg. Sci. Technol., 35, 123–145, 2002.; Burrough, P. A., Wilson, J. P., Gaans, P. F. M. V., and Hansen, A. J.: Fuzzy k-means classification of topo-climatic data as an aid to forest mapping in the Greater Yellowstone Area , USA, Landscape Ecology, 523–546, 2001.; Dall'Amico, M., Endrizzi, S., Gruber, S., and Rigon, R.: A robust and energy-conserving model of freezing variably-saturated soil, The Cryosphere, 5, 469–484, doi:10.5194/tc-5-469-2011, 2011.; Dimri, A. P.: Impact of subgrid scale scheme on topography and landuse for better regional scale simulation of meteorological variables over the western Himalayas, Clim. Dynam., 32, 565–574, 2009.; Endrizzi, S. and Marsh, P.: Observations and modeling of turbulent fluxes during melt at the shrub-tundra transition zone 1: point scale variations, Hydrol. Res., 41, 471–491, doi:10.2166/nh.2010.149, 2010.; Famiglietti, J. S. and Wood, E. F.: Multiscale modeling of spatially variable water and energy balance processes, Water Resour. Res., 30, 3061–3078, 1994.; Genizi, A.: Decomposition of r2 in multiple regression with correlated regressors, Statistica Sinica, 3, 407–420, 1993.; Giorgi, F. and Avissar, R.: Representation of heterogeneity effects in earth system modeling - Experience from land surface modeling, Rev. Geophys., 35, 413–438, 1997.; Gruber, S.: Derivation and analysis of a high-resolution estimate of global permafrost zonation, The Cryosphere, 6, 221–233, doi:10.5194/tc-6-221-2012, 2012.; Gruber, S., Hoelzle, M., and Haeberli, W.: Rock-wall temperatures in the Alps: modelling their topographic distribution and regional differences, Permafrost and Periglacial Processes, 15, 299–307, 2004.; Gubler, S., Fiddes, J., Keller, M., and Gruber, S.: Scale-dependent measurement and analysis of ground surface temperature variability in alpine terrain, The Cryosphere, 5, 431–443, doi:10.5194/tc-5-431-2011, 2011.; Harris, C., Vonder Muhll, D., Isaksen, K., Haeberli, W., Sollid, J. L., King, L., Holmlund, P.

 

Click To View

Additional Books


  • The Integrated Earth System Model (Iesm)... (by )
  • A Sparse Reconstruction Method for the E... (by )
  • Water Isotope Variations in the Global O... (by )
  • Sensitivity of Simulated Co2 Concentrati... (by )
  • The Fire Inventory from Ncar (Finn): a H... (by )
  • Corrigendum to Decoupling the Effects of... (by )
  • A Simulation Study of the Ensemble-based... (by )
  • Direct Numerical Simulations of Particle... (by )
  • A Robust Method for Inverse Transport Mo... (by )
  • Oesbathy Version 1.0: a Method for Recon... (by )
  • A Subbasin-based Framework to Represent ... (by )
  • The Rock Geochemical Model (Rokgem) V0.9... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from Hawaii eBook Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.