Stochastic downscaling of gridded precipitation to spatially coherent subgrid precipitation fields using a transformed Gaussian model

Switanek, Matthew; Maraun, Douglas; Bevacqua, Emanuele

doi:10.1002/joc.7581

i

Stochastic downscaling of gridded precipitation to spatially coherent subgrid precipitation fields using a transformed Gaussian model

Supporting Files

2022
By Switanek, Matthew ; Maraun, Douglas ; Bevacqua, Emanuele

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Journal Title:

International Journal of Climatology
Personal Author:

Switanek, Matthew ; Maraun, Douglas ; Bevacqua, Emanuele
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; CIRES (Cooperative Institute for Research in Environmental Sciences) ; PSL (Physical Sciences Laboratory)
Description:

Climate impact models often require unbia sed point-scale observations, but cli- mate models typically provide biased simulations at the grid scale. While stan-dard bias adjustment methods have shown to generally perform well at adjusting climate model biases, they cannot overc ome the gap between grid-box and point scale. To overcome this limitation, comb ined bias adjustment and stochastic downscaling methods have been develope d. These methods, however, are single- site methods and cannot represent spatial dependence. Here we propose a multi-
Keywords:

Atmospheric Science
Source:

International Journal of Climatology, 42(12), 6126-6147
DOI:

https://doi.org/10.1002/joc.7581
ISSN:

0899-8418 ; 1097-0088
Format:

PDF
Publisher:

Wiley
Document Type:

Journal Article
License:

https://creativecommons.org/licenses/by-nc/4.0/
Rights Information:

CC BY-NC
Compliance:

Library
Main Document Checksum:

urn:sha256:286a535749b2364a41d0b6399f23ceb78aad96b94fb400adf14c4240a6a692a9
Download URL:

https://repository.library.noaa.gov/view/noaa/54809/noaa_54809_DS1.pdf
File Type:

[PDF - 33.15 MB ]

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