SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:DiVA.org:uu-244441"
 

Search: onr:"swepub:oai:DiVA.org:uu-244441" > Location and Densit...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

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

Girons Lopez, Marc, 1986- (author)
Uppsala universitet,Luft-, vatten- och landskapslära,Centre for Natural Disaster Science
Wennerström, Hjalmar (author)
Uppsala universitet,Datorarkitektur och datorkommunikation
Nordén, Lars-Åke (author)
Uppsala universitet,Datorarkitektur och datorkommunikation
show more...
Seibert, Jan (author)
Uppsala universitet,Luft-, vatten- och landskapslära
show less...
 (creator_code:org_t)
2016-11-15
2015
English.
In: Geografiska Annaler. Series A, Physical Geography. - : Informa UK Limited. - 0435-3676 .- 1468-0459. ; 97:1, s. 167-179
  • Journal article (peer-reviewed)
Abstract Subject headings
Close  
  • 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.

Subject headings

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

Keyword

precipitation monitoring
point measurements
sensor networks
interpolation
Hydrology
Hydrologi

Publication and Content Type

ref (subject category)
art (subject category)

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view