Details
| Original language | English |
|---|---|
| Title of host publication | Flood Risk Assessment and Management |
| Subtitle of host publication | How to Specify Hydrological Loads, Their Consequences and Uncertainties |
| Publisher | Springer Netherlands |
| Pages | 35-52 |
| Number of pages | 18 |
| ISBN (print) | 9789048199167 |
| Publication status | Published - 2011 |
Abstract
This chapter discusses possibilities for the spatial estimation of rainfall for flood modelling. It is assumed, that some high time resolution point measurements from a network of recording rainfall gauges are available as basic information. Conventional and geostatistical methods are presented for the spatial interpolation of the point measurements to raster cells and areas. The focus here is on the application of stationary and non-stationary geostatistical methods. The latter are able to utilise additional information e.g. from daily non-recording stations, weather radar and elevation for the estimation of mean areal rainfall. Alternatively, methods for conditional spatial simulation of precipitation are discussed. Those simulation approaches preserve the high spatial variability of rainfall and can be used for uncertainty assessment. Two examples regarding flood modelling are presented at the end of the chapter. The first one deals with interpolation of hourly rainfall using radar as additional information. The second one compares the application of precipitation data obtained from interpolation and simulation for rainfall-runoff modelling.
ASJC Scopus subject areas
- Environmental Science(all)
- General Environmental Science
- Earth and Planetary Sciences(all)
- General Earth and Planetary Sciences
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Flood Risk Assessment and Management: How to Specify Hydrological Loads, Their Consequences and Uncertainties. Springer Netherlands, 2011. p. 35-52.
Research output: Chapter in book/report/conference proceeding › Contribution to book/anthology › Research › peer review
}
TY - CHAP
T1 - Interpolation of precipitation for flood modelling
AU - Haberlandt, Uwe
PY - 2011
Y1 - 2011
N2 - This chapter discusses possibilities for the spatial estimation of rainfall for flood modelling. It is assumed, that some high time resolution point measurements from a network of recording rainfall gauges are available as basic information. Conventional and geostatistical methods are presented for the spatial interpolation of the point measurements to raster cells and areas. The focus here is on the application of stationary and non-stationary geostatistical methods. The latter are able to utilise additional information e.g. from daily non-recording stations, weather radar and elevation for the estimation of mean areal rainfall. Alternatively, methods for conditional spatial simulation of precipitation are discussed. Those simulation approaches preserve the high spatial variability of rainfall and can be used for uncertainty assessment. Two examples regarding flood modelling are presented at the end of the chapter. The first one deals with interpolation of hourly rainfall using radar as additional information. The second one compares the application of precipitation data obtained from interpolation and simulation for rainfall-runoff modelling.
AB - This chapter discusses possibilities for the spatial estimation of rainfall for flood modelling. It is assumed, that some high time resolution point measurements from a network of recording rainfall gauges are available as basic information. Conventional and geostatistical methods are presented for the spatial interpolation of the point measurements to raster cells and areas. The focus here is on the application of stationary and non-stationary geostatistical methods. The latter are able to utilise additional information e.g. from daily non-recording stations, weather radar and elevation for the estimation of mean areal rainfall. Alternatively, methods for conditional spatial simulation of precipitation are discussed. Those simulation approaches preserve the high spatial variability of rainfall and can be used for uncertainty assessment. Two examples regarding flood modelling are presented at the end of the chapter. The first one deals with interpolation of hourly rainfall using radar as additional information. The second one compares the application of precipitation data obtained from interpolation and simulation for rainfall-runoff modelling.
UR - http://www.scopus.com/inward/record.url?scp=84890005087&partnerID=8YFLogxK
U2 - 10.1007/978-90-481-9917-4_3
DO - 10.1007/978-90-481-9917-4_3
M3 - Contribution to book/anthology
AN - SCOPUS:84890005087
SN - 9789048199167
SP - 35
EP - 52
BT - Flood Risk Assessment and Management
PB - Springer Netherlands
ER -