High-resolution temperature and precipitation projections over Ontario, Canada: a coupled dynamical-statistical approach

2014 ◽  
Vol 141 (689) ◽  
pp. 1137-1146 ◽  
Author(s):  
Xiuquan Wang ◽  
Guohe Huang ◽  
Qianguo Lin ◽  
Xianghui Nie ◽  
Jinliang Liu
2015 ◽  
Vol 17 (6) ◽  
pp. 1047-1056 ◽  
Author(s):  
J. Caesar ◽  
T. Janes ◽  
A. Lindsay ◽  
B. Bhaskaran

High resolution climate change simulations for south Asia are evaluated and show the changes projected during the 21st century.


2016 ◽  
Vol 31 (3) ◽  
pp. 757-773 ◽  
Author(s):  
Corrado Camera ◽  
Adriana Bruggeman ◽  
Panos Hadjinicolaou ◽  
Silas Michaelides ◽  
Manfred A. Lange

2015 ◽  
Vol 36 (3) ◽  
pp. 1051-1066 ◽  
Author(s):  
Botao Zhou ◽  
Ying Xu ◽  
Jia Wu ◽  
Siyan Dong ◽  
Ying Shi

2021 ◽  
Author(s):  
Thomas Noël ◽  
Harilaos Loukos ◽  
Dimitri Defrance

A high-resolution climate projections dataset is obtained by statistically downscaling climate projections from the CMIP6 experiment using the ERA5-Land reanalysis from the Copernicus Climate Change Service. This global dataset has a spatial resolution of 0.1°x 0.1°, comprises 5 climate models and includes two surface daily variables at monthly resolution: air temperature and precipitation. Two greenhouse gas emissions scenarios are available: one with mitigation policy (SSP126) and one without mitigation (SSP585). The downscaling method is a Quantile Mapping method (QM) called the Cumulative Distribution Function transform (CDF-t) method that was first used for wind values and is now referenced in dozens of peer-reviewed publications. The data processing includes quality control of metadata according to the climate modelling community standards and value checking for outlier detection.


2011 ◽  
Vol 6 (1) ◽  
pp. 39-43 ◽  
Author(s):  
B. Chimani ◽  
R. Böhm ◽  
C. Matulla ◽  
M. Ganekind

Abstract. Solid precipitation (mainly snow, but snow and ice pellets or hail as well), is an important parameter for climate studies. But as this parameter usually is not available operationally before the second part of the 20th century and nowadays is not reported by automatic stations, information usable for long term climate studies is rare. Therefore a proxy for the fraction of solid precipitation based on a nonlinear relationship between the percentage of solid precipitation and monthly mean temperature was developed for the Greater Alpine Region of Europe and applied to the existing longterm high resolution temperature and precipitation grids (5 arcmin). In this paper the method is introduced and some examples of the resulting datasets available at monthly resolution for 1800–2003 are given.


2017 ◽  
Vol 51 (5-6) ◽  
pp. 1773-1792 ◽  
Author(s):  
Reiner Palomino-Lemus ◽  
Samir Córdoba-Machado ◽  
Sonia Raquel Gámiz-Fortis ◽  
Yolanda Castro-Díez ◽  
María Jesús Esteban-Parra

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