bias corrections of precipitation measurements across experimental sites in different ecoclimatic regions of western canada
Clicks: 95
ID: 240972
2016
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.
Reader Engagement
Emerging Content
27.3
/100
95 views
15 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #115 of 134 articles by views in journal of applied polymer science
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 134 in total.
Mint this article as an NFT
Not yet mintedCreate 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
Abstract
This study assesses a filtering procedure on accumulating precipitation gauge
measurements and quantifies the effects of bias corrections for wind-induced
undercatch across four ecoclimatic regions in western Canada, including the
permafrost regions of the subarctic, the Western Cordillera, the boreal
forest, and the prairies. The bias corrections increased monthly
precipitation by up to 163 % at windy sites with short vegetation and
sometimes modified the seasonal precipitation regime, whereas the increases
were less than 13 % at sites shielded by forest. On a yearly basis, the
increase of total precipitation ranged from 8 to 20 mm (3–4 %) at sites shielded by vegetation and 60 to 384 mm (about 15–34 %) at open sites. In addition, the bias corrections altered the seasonal precipitation patterns at some windy sites with high snow percentage ( > 50 %). This study highlights the need for and importance of precipitation bias corrections at both research sites and operational networks for water balance assessment and the validation of global/regional climate–hydrology models.
| Reference Key |
pan2016thebias
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;X. Pan;D. Yang;Y. Li;A. Barr;W. Helgason;M. Hayashi;P. Marsh;J. Pomeroy;R. J. Janowicz |
| Journal | journal of applied polymer science |
| Year | 2016 |
| DOI |
10.5194/tc-10-2347-2016
|
| URL | |
| Keywords |
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.