EIDC
Marthews, T.R.; Dadson, S.J.; Lehner, B.; Abele, S.; Gedney, N.

High-resolution global topographic index values

https://doi.org/10.5285/ce391488-1b3c-4f82-9289-4beb8b8aa7da Cite this dataset
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

Format

NetCDF

Spatial information

Study area
Spatial representation type
Raster
Spatial reference system
WGS 84

Temporal information

Temporal extent
2014-01-01    to    …

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

Correspondence/contact details

Marthews, T.R.
UK Centre for Ecology & Hydrology
 enquiries@ceh.ac.uk

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

Other contacts

Rights holder
UK Centre for Ecology & Hydrology
Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC Environmental Information Data Centre
 info@eidc.ac.uk

Additional metadata

Topic categories
environment
INSPIRE theme
Hydrography
Keywords
hydrological regimes , hydrology , Hydrology , inundation , soil moisture , spatial data , Topography
Last updated
18 April 2024 16:41

Get the data

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 this archived version, please contact the EIDC

CITE AS: Marthews, T.R.; Dadson, S.J.; Lehner, B.; Abele, S.; Gedney, N. (2014). High-resolution global topographic index values. NERC Environmental Information Data Centre. https://doi.org/10.5285/ce391488-1b3c-4f82-9289-4beb8b8aa7da

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