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Sökning: L773:0435 3676 OR L773:1468 0459 > (2015-2019) > Seibert Jan > Location and Densit...

Location and Density of Rain Gauges for the Estimation of Spatial Varying Precipitation

Girons Lopez, Marc, 1986- (författare)
Uppsala universitet,Luft-, vatten- och landskapslära,Centre for Natural Disaster Science
Wennerström, Hjalmar (författare)
Uppsala universitet,Datorarkitektur och datorkommunikation
Nordén, Lars-Åke (författare)
Uppsala universitet,Datorarkitektur och datorkommunikation
visa fler...
Seibert, Jan (författare)
Uppsala universitet,Luft-, vatten- och landskapslära
visa färre...
 (creator_code:org_t)
2016-11-15
2015
Engelska.
Ingår i: Geografiska Annaler. Series A, Physical Geography. - : Informa UK Limited. - 0435-3676 .- 1468-0459. ; 97:1, s. 167-179
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Accurate estimation of precipitation and its spatial variability is crucial for reliable discharge simulations. Although radar and satellite based techniques are becoming increasingly widespread, quantitative precipitation estimates based on point rain gauge measurement interpolation are, and will continue to be in the foreseeable future, widely used. However, the ability to infer spatially distributed data from point measurements is strongly dependent on the number, location and reliability of measurement stations.In this study we quantitatively investigated the effect of rain gauge network configurations on the spatial interpolation by using the operational hydrometeorological sensor network in the Thur river basin in north-eastern Switzerland as a test case. Spatial precipitation based on a combination of radar and rain gauge data provided by MeteoSwiss was assumed to represent the true precipitation values against which the precipitation interpolation from the sensor network was evaluated. The performance using scenarios with both increased and decreased station density were explored. The catchment-average interpolation error indices significantly improve up to a density of 24 rain gauges per 1000 km2, beyond which improvements were negligible. However, a reduced rain gauge density in the higher parts of the catchment resulted in a noticeable decline of the performance indices. An evaluation based on precipitation intensity thresholds indicated a decreasing performance for higher precipitation intensities. The results of this study emphasise the benefits of dense and adequately distributed rain gauge networks.

Ämnesord

NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Oceanografi, hydrologi och vattenresurser (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Oceanography, Hydrology and Water Resources (hsv//eng)

Nyckelord

precipitation monitoring
point measurements
sensor networks
interpolation
Hydrology
Hydrologi

Publikations- och innehållstyp

ref (ämneskategori)
art (ämneskategori)

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