Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Adrian J. McDonald"'
Autor:
Gokul Vishwanathan, Adrian J. McDonald, Chris Noble, Dáithí A. Stone, Suzanne Rosier, Alex Schuddeboom, Peter Kreft, Gregor Macara, Trevor Carey-Smith, Greg Bodeker
Publikováno v:
Weather and Climate Extremes, Vol 44, Iss , Pp 100687- (2024)
We document 1394 extreme precipitation events (EPEs) over Aotearoa New Zealand’s (ANZ) Regional Councils between March 1996 and December 2021. The characteristics of EPEs are documented using a novel spatio-temporal framework that diagnoses the pea
Externí odkaz:
https://doaj.org/article/51807ed3c2b347639b4695865b763406
Autor:
Adrian J. McDonald, Luke H. Cairns
Publikováno v:
Earth and Space Science, Vol 7, Iss 1, Pp n/a-n/a (2020)
Abstract We compare the consistency between eight reanalyses: CERA20C, ERA5, ERA‐Interim, ERA20C, NCEP‐DOE, MERRA2, JRA55, and 20CRV2c. This comparison uses daily surface winds near Antarctica to classify synoptic patterns using the self‐organi
Externí odkaz:
https://doaj.org/article/6d1203dda6b045eb8fd356a8193010f9
ERA5 reanalysis is used to examine extreme precipitation using a spatially dependent precipitation threshold applied within a cyclone compositing framework. This is used to account for regional variation in precipitation generating processes within S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45ea5c5fab38b3065cafa8df8d7542da
https://doi.org/10.22541/essoar.168275966.64999355/v1
https://doi.org/10.22541/essoar.168275966.64999355/v1
Uncertainty in cloud feedback in climate models is a major limitation in projections of future climate. Therefore, to ensure the accuracy of climate models, evaluation and improvement of cloud simulation is essential. We analyse cloud biases and clou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e3dcc3beeccefab947e53df52308fa2
Autor:
Alex R. Aves, Laura E. Revell, Sally Gaw, Helena Ruffell, Alex Schuddeboom, Ngaire E. Wotherspoon, Michelle LaRue, Adrian J. McDonald
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::15732ea2ae146ad6b5d17e8a42f9482f
https://doi.org/10.5194/tc-2021-385-supplement
https://doi.org/10.5194/tc-2021-385-supplement
Autor:
Leon S. Friedrich, Adrian J. McDonald, Gregory E. Bodeker, Kathy E. Cooper, Jared Lewis, Alexander J. Paterson
Location information from long duration super pressure balloons flying in the Southern Hemisphere lower stratosphere during 2014 as part of X Project Loon are used to assess the quality of a number of different reanalyses including National Centers f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d81d13c12102d116258831a557c31a5c
https://doi.org/10.5194/acp-2016-396
https://doi.org/10.5194/acp-2016-396
Publikováno v:
Atmospheric Chemistry and Physics. 23(1):523-549
Uncertainty in cloud feedbacks in climate models is a major limitation in projections of future climate. Therefore, evaluation and improvement of cloud simulation are essential to ensure the accuracy of climate models. We analyse cloud biases and clo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96d1e52f113970a6f380e693302f0790