Matches in UGent Biblio for { <https://biblio.ugent.be/publication/5861260#aggregation> ?p ?o. }
Showing items 1 to 46 of
46
with 100 items per page.
- aggregation classification "A1".
- aggregation creator B936756.
- aggregation creator B936757.
- aggregation creator B936758.
- aggregation creator B936759.
- aggregation creator B936760.
- aggregation creator B936761.
- aggregation creator B936762.
- aggregation creator B936763.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2015".
- aggregation format "application/pdf".
- aggregation hasFormat 5861260.bibtex.
- aggregation hasFormat 5861260.csv.
- aggregation hasFormat 5861260.dc.
- aggregation hasFormat 5861260.didl.
- aggregation hasFormat 5861260.doc.
- aggregation hasFormat 5861260.json.
- aggregation hasFormat 5861260.mets.
- aggregation hasFormat 5861260.mods.
- aggregation hasFormat 5861260.rdf.
- aggregation hasFormat 5861260.ris.
- aggregation hasFormat 5861260.txt.
- aggregation hasFormat 5861260.xls.
- aggregation hasFormat 5861260.yaml.
- aggregation isPartOf urn:issn:0196-2892.
- aggregation language "eng".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Earth and Environmental Sciences".
- aggregation title "Copula-based downscaling of coarse-scale soil moisture observations with implicit bias correction".
- aggregation abstract "Soil moisture retrievals, delivered as a CATDS (Centre Aval de Traitement des Données SMOS) Level-3 product of the Soil Moisture and Ocean Salinity (SMOS) mission, form an important information source, particularly for updating land surface models. However, the coarse resolution of the SMOS product requires additional treatment if it is to be used in applications at higher resolutions. Furthermore, the remotely sensed soil moisture often does not reflect the climatology of the soil moisture predictions, and the bias between model predictions and observations needs to be removed. In this paper, a statistical framework is presented that allows for the downscaling of the coarse-scale SMOS soil moisture product to a finer resolution. This framework describes the interscale relationship between SMOS observations and model-predicted soil moisture values, in this case, using the variable infiltration capacity (VIC) model, using a copula. Through conditioning, the copula to a SMOS observation, a probability distribution function is obtained that reflects the expected distribution function of VIC soil moisture for the given SMOS observation. This distribution function is then used in a cumulative distribution function matching procedure to obtain an unbiased fine-scale soil moisture map that can be assimilated into VIC. The methodology is applied to SMOS observations over the Upper Mississippi River basin. Although the focus in this paper is on data assimilation apcations, the framework developed could also be used for other purposes where downscaling of coarse-scale observations is required.".
- aggregation authorList BK1323154.
- aggregation endPage "3521".
- aggregation issue "6".
- aggregation startPage "3507".
- aggregation volume "53".
- aggregation aggregates 5861353.
- aggregation isDescribedBy 5861260.
- aggregation similarTo TGRS.2014.2378913.
- aggregation similarTo LU-5861260.