Assessing homogeneity of land surface air temperature observations using sparse‐input reanalyses

Gillespie, Ian; Haimberger, Leo; Compo, Gilbert P.; Thorne, Peter W.

doi:10.1002/joc.7822

i

Assessing homogeneity of land surface air temperature observations using sparse‐input reanalyses

Supporting Files Public Domain

2022
By Gillespie, Ian ; Haimberger, Leo ; Compo, Gilbert P. ; ...

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Journal Title:

International Journal of Climatology
Personal Author:

Gillespie, Ian ; Haimberger, Leo ; Compo, Gilbert P. ; Thorne, Peter W.
NOAA Program & Office:

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

State-of-the-art homogenisation approaches for any test site rely upon the avail- ability of a sufficient number of neighbouring sites with similar climatic condi- tions and a sufficient quantity of overlapping measurements. These conditions are not always met, particularly in poorly sampled regions and epochs. Modern sparse-input reanalysis products which are constrained by observed sea surface temperatures, sea-ice and surface pressure observations, continue to improve,
Keywords:

Atmospheric Science
Source:

International Journal of Climatology, 43(2), 736-760
DOI:

https://doi.org/10.1002/joc.7822
ISSN:

0899-8418 ; 1097-0088
Format:

PDF
Publisher:

Wiley
Document Type:

Journal Article
License:

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

CC BY
Compliance:

Library
Main Document Checksum:

urn:sha256:c6b065af5e7a40a1b60cf2215d1f7d205410d328c4ed8478e9c771dacfa90f5d
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https://repository.library.noaa.gov/view/noaa/53241/noaa_53241_DS1.pdf
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