Article (Scientific journals)
A Daily 1-km Resolution Greenland Rainfall Climatology (1958–2020) From Statistical Downscaling of a Regional Atmospheric Climate Model
Huai, Baojuan; van den Broeke, Michiel R.; Reijmer, Carleen H. et al.
2022In Journal of Geophysical Research. Atmospheres, 127 (17)
Peer Reviewed verified by ORBi
 

Files


Full Text
Huai_2022_JGR.pdf
Author postprint (6.28 MB) Creative Commons License - Attribution
Download

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Greenland ice sheet; peripheral glaciers and ice caps; rainfall climatology; regional climate model; statistical downscaling; tundra; Geophysics; Atmospheric Science; Earth and Planetary Sciences (miscellaneous); Space and Planetary Science
Abstract :
[en] A daily, gridded 1-km rainfall climatology (1958–2020) for Greenland is presented, including the Greenland ice sheet (GrIS), the peripheral glaciers and ice caps (GIC), and ice-free tundra. It is obtained by statistically downscaling the 5.5 km output of the regional atmospheric climate model version 2 to a resolution of 1 km, using the elevation dependence of snowfall fraction. Based on this new product, the average total annual rainfall in Greenland during 1958–2020 is estimated to be 111.4 ± 11.2 Gt/year, of which 28.6 ± 6.1 Gt/year falls on the GrIS, 11.4 ± 1.4 Gt/year on the GIC, and 71.4 ± 9.0 Gt/year on the tundra. The downscaled 1 km product better resolves especially the relatively small GIC, more than doubling (+124%) their rainfall compared to the 5.5 km product. The relatively warm southern regions of Greenland have the highest rainfall amounts, with annual values locally exceeding 1,000 mm. We confirm a significant positive trend in Greenland rainfall (>40 mm/decade), notably in the northwest and mainly due to an increase in rainfall fraction (>3.5%/decade) during July and August. For the whole of Greenland, during 1991–2020 the seasonal rainfall peak has shifted from July to August, with significant increases in September, which receives more rain than June. An analysis of rainfall fraction and near-surface temperature shows that local warming rates are a good predictor of recent rainfall changes.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Huai, Baojuan ;  College of Geography and Environment, Shandong Normal University, Jinan, China
van den Broeke, Michiel R. ;  Institute for Marine and Atmospheric Research, Utrecht University, Utrecht, Netherlands
Reijmer, Carleen H. ;  Institute for Marine and Atmospheric Research, Utrecht University, Utrecht, Netherlands
Noël, Brice  ;  Université de Liège - ULiège > Département de géographie > Climatologie et Topoclimatologie ; Institute for Marine and Atmospheric Research, Utrecht University, Utrecht, Netherlands
Language :
English
Title :
A Daily 1-km Resolution Greenland Rainfall Climatology (1958–2020) From Statistical Downscaling of a Regional Atmospheric Climate Model
Publication date :
16 September 2022
Journal title :
Journal of Geophysical Research. Atmospheres
ISSN :
2169-897X
eISSN :
2169-8996
Publisher :
John Wiley and Sons Inc
Volume :
127
Issue :
17
Peer reviewed :
Peer Reviewed verified by ORBi
Funding text :
We acknowledge support from the Netherlands Earth System Science Centre (NESSC) and PROTECT, this project has received funding from the European Union's Horizon 2020 Research and Innovation program (grant no. 869304), PROTECT contribution number 41. This work was also funded by the Natural Science Foundation of China (42171121, 41701059). B. Noël was funded by the NWO VENI grant VI.Veni.192.019. The authors thank Qinglin Zhang (Shandong Normal University) for technical support.We acknowledge support from the Netherlands Earth System Science Centre (NESSC) and PROTECT, this project has received funding from the European Union's Horizon 2020 Research and Innovation program (grant no. 869304), PROTECT contribution number 41. This work was also funded by the Natural Science Foundation of China (42171121, 41701059). B. Noël was funded by the NWO VENI grant VI.Veni.192.019. The authors thank Qinglin Zhang (Shandong Normal University) for technical support.
Available on ORBi :
since 04 May 2023

Statistics


Number of views
15 (0 by ULiège)
Number of downloads
30 (0 by ULiège)

Scopus citations®
 
7
Scopus citations®
without self-citations
3
OpenCitations
 
0

Bibliography


Similar publications



Contact ORBi