The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
A large-scale horizontal routing model to be coupled to land surf ace parametrization schemes
Open accessAbstract
The main focus of this paper is the time series analysis of the precipitation-runoff process with transfer functions. Starting from there, a horizontal routing model is constructed to be coupled to the existing land surface parametrization (LSP) schemes which provide the lower boundary conditions in numerical weather prediction and atmospheric general circulation models. As these models currently have a resolution of 10 km-300 km (what we some kind of arbitrary define as the “large scale” ), it will be assumed that the horizontal routing process can be lumped as a linear time invariant system. While the main physical properties of the soil (temperature, moisture) and all physical processes (partition of the energy and water fluxes) have to be represented by an LSP scheme, the coupling with a simple routing scheme allows the direct comparison of predicted and measured streamflow data as an integrated quantity and validation tool for both, the atmospheric and the LSP model. The main task of the routing scheme is to preserve the horizontal travel time of water within each grid box as well as from grid box to grid box in the coupled model to first order, while the correct amount of runoff must be given by the LSP scheme. Inverse calculation also allows the direct estimation of runoff which should have been produced by an LSP scheme. As we don’t want to deal with snow processes the scheme is applied from February to November.
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Cites
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Anthropogenic greenhouse gas contribution to flood risk in England and Wales in autumn 2000
Pall, P., Aina, T., Stone, D. A., Stott, P. A., Nozawa, T., Hilberts, A. G. J., Lohmann, D., & Allen, M. R. (2011) · Nature · doi:10.1038/nature09762 · Cited by 871
Hamman, J. J., Nijssen, B., Bohn, T. J., Gergel, D. R., & Mao, Y. (2018) · Geoscientific Model Development · doi:10.5194/gmd-11-3481-2018 · Cited by 322
The Pakistan Flood of August 2022: Causes and Implications
Nanditha, J. S., Kushwaha, A. P., Singh, R., Malik, I., Solanki, H., Chuphal, D. S., Dangar, S., Mahto, S. S., Vegad, U., & Mishra, V. (2023) · Earth's Future · doi:10.1029/2022ef003230 · Cited by 269
Metadata
- Authors
- Lohmann, D., Nolte-Holube, R., & Raschke, E.
- Venue
- Tellus A: Dynamic Meteorology and Oceanography
- Publisher
- Stockholm University Press
- Published
- 1996-01-01
- Volume
- 48
- Issue
- 5
- Pages
- 708
- ISSN
- 0280-6495 (ISSN-L)
- 1600-0870
- OpenAlex
- W2050222603
- Cited by
- 441
- References
- 10
- FWCI
- 8.94
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Lohmann, D., Nolte-Holube, R., & Raschke, E. (1996). A large-scale horizontal routing model to be coupled to land surf ace parametrization schemes. Tellus A: Dynamic Meteorology and Oceanography. https://doi.org/10.3402/tellusa.v48i5.12200
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
