Marthews, T.R.; Dadson, S.J.; Lehner, B.; Abele, S.; Gedney, N.
High-resolution global topographic index values
THIS DATASET HAS BEEN SUPERSEDED The latest version is High-resolution global topographic index values
All pixels north of 4.57 degrees south were found to be shifted consistently 9.3 km to the west, therefore this dataset has been replaced by a corrected version.
If you need access to the archived version, please contact the EIDC
THIS DATASET HAS BEEN SUPERSEDED The latest version is High-resolution global topographic index values
All pixels north of 4.57 degrees south were found to be shifted consistently 9.3 km to the west, therefore this dataset has been replaced by a corrected version.
If you need access to the archived version, please contact the EIDC
https://doi.org/10.5285/ce391488-1b3c-4f82-9289-4beb8b8aa7da
The topographic index is a hydrological quantity describing the propensity of the soil at landscape points to become saturated with water as a result of topographic position (i.e. not accounting for other factors such as climate that also affect soil moisture but are accounted for separately). Modern land surface models require a characterisation of the land surface hydrological regime and this parameter allows the use of the TOPMODEL hydrological model to achieve this .This Geographic Information System layer is intended for use as topographic ancillary files for the TOPMODEL routing model option within the Joint UK Land Environment Simulator (JULES) land surface model. The topographic index variable here is directly comparable to the compound topographic index available from United States Geological Survey's Hydro1K at 30 sec resolution.
Publication date: 2014-11-30
More information
View numbers valid from 01 June 2023 (information prior to this was not collected)
Spatial information
Spatial representation type
Raster
Spatial reference system
WGS 84
Provenance & quality
The GA2 algorithm has been used to calculate these topographic index values, using base data layers provided by the HydroSHEDS suite of GIS layers. All files were generated using FORTRAN 90 at 15 arc-sec resolution (cells circa 450 m x 450 m at the Equator).
Citations
Qian, T., Tsunekawa, A., Masunaga, T., & Wang, T. (2017). Analysis of the Spatial Variation of Soil Salinity and Its Causal Factors in China’s Minqin Oasis. Mathematical Problems in Engineering, 2017, 1–9. https://doi.org/10.1155/2017/9745264
Robinson, E.L., & Clark, D.B. (2020). Using Gravity Recovery and Climate Experiment data to derive corrections to precipitation data sets and improve modelled snow mass at high latitudes. Hydrology and Earth System Sciences, 24(4), 1763–1779. https://doi.org/10.5194/hess-24-1763-2020
McNorton, J., Gloor, E., Wilson, C., Hayman, G.D., Gedney, N., Comyn‐Platt, E., … Chipperfield, M.P. (2016). Role of regional wetland emissions in atmospheric methane variability. Geophysical Research Letters, 43(21). https://doi.org/10.1002/2016gl070649
Brun, P., Thuiller, W., Chauvier, Y., Pellissier, L., Wüest, R.O., Wang, Z., & Zimmermann, N.E. (2019). Model complexity affects species distribution projections under climate change. Journal of Biogeography, 47(1), 130–142. https://doi.org/10.1111/jbi.13734
Marthews, T.R., Dadson, S.J., Lehner, B., Abele, S. & Gedney, N. (2015) High-resolution global topographic index values for use in large-scale hydrological modelling. Hydrology and Earth System Sciences 19, 91–104. https://doi.org/10.5194/hess-19-91-2015
Brun, P., Psomas, A., Ginzler, C., Thuiller, W., Zappa, M. & Zimmermann, N.E. (2020) Large‐scale early‐wilting response of Central European forests to the 2018 extreme drought. Global Change Biology 26, 7021–7035. https://doi.org/10.1111/gcb.15360
Carozza, D.A. & Boudreault, M. (2021) A Global Flood Risk Modeling Framework Built With Climate Models and Machine Learning. Journal of Advances in Modeling Earth Systems 13. https://doi.org/10.1029/2020ms002221
Authors
Marthews, T.R.
University of Oxford
Dadson, S.J.
University of Oxford
Lehner, B.
McGill University
Abele, S.
University of Oxford
Gedney, N.
Hadley Centre for Climate Prediction and Research
Additional metadata
Keywords
hydrological regimes ,
hydrology ,
Hydrology ,
inundation ,
soil moisture ,
spatial data ,
Topography
Last updated
21 March 2025 09:40
