a geostatistical approach to multisensor rain field reconstruction and downscaling

Clicks: 104
ID: 239446
2001
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Popular

Ranked #253 of 303 articles by views in materials research bulletin

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 303 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
A rain field reconstruction and downscaling methodology is presented, which allows suitable integration of large scale rainfall information and rain-gauge measurements at the ground. The former data set is assumed to provide probabilistic indicators that are used to infer the parameters of the probability density function of the stochastic rain process at each pixel site. Rain-gauge measurements are assumed as the ground truth and used to constrain the reconstructed rain field to the associated point values. Downscaling is performed by assuming the a posteriori estimates of the rain figures at each grid cell as the a priori large-scale conditioning values for reconstruction of the rain field at finer scale. The case study of an intense rain event recently observed in northern Italy is presented and results are discussed with reference to the modelling capabilities of the proposed methodology.

Keywords: Reconstruction, downscaling, remote sensing, geostatistics, Meteosat

Reference Key
fiorucci2001hydrologya Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;P. Fiorucci;P. Fiorucci;P. La Barbera;P. La Barbera;L.G. Lanza;L.G. Lanza;R. Minciardi;R. Minciardi
Journal materials research bulletin
Year 2001
DOI
DOI not found
URL
http://www.hydrol-earth-syst-sci.net/5/201/2001/hess-5-201-2001.pdf
Keywords
anthropology recreationenvironmental sciences sanitary engineeringgeography technologyenvironmental technology

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.