Exploring new EarthCARE observations for evaluating Greenland clouds in the regional climate model RACMO2.4

Thirza N. Feenstra, Willem Jan van de Berg, Gerd-Jan van Zadelhoff, David P. Donovan, Christiaan T. van Dalum, and Michiel R. van den Broeke

Viewed

Total article views: 525 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
317	177	31	525	38	36

HTML: 317
PDF: 177
XML: 31
Total: 525
BibTeX: 38
EndNote: 36

Views and downloads (calculated since 28 Nov 2025)

Month	HTML	PDF	XML	Total
Nov 2025	48	7	4	59
Dec 2025	106	85	17	208
Jan 2026	100	59	9	168
Feb 2026	63	26	1	90

Cumulative views and downloads (calculated since 28 Nov 2025)

Month	HTML	PDF	XML	Total
Nov 2025	48	7	4	59
Dec 2025	106	85	17	208
Jan 2026	100	59	9	168
Feb 2026	63	26	1	90

Viewed (geographical distribution)

Total article views: 525 (including HTML, PDF, and XML) Thereof 494 with geography defined and 31 with unknown origin.

Country	#	Views	%


Total:	0
HTML:	0
PDF:	0
XML:	0


Total:	0
HTML:	0
PDF:	0
XML:	0

Latest update: 19 Feb 2026

Short summary

Cloud representation brings large uncertainties in polar climate modeling. We show the first evaluation of Greenland clouds in the Regional Atmospheric Climate Model (RACMO2.4) with new EarthCARE satellite data. Comparing lidar and radar observations and retrieved cloud profiles with co-located RACMO output, we find RACMO captures low ice clouds but underestimates high clouds, mid-altitude liquid clouds, and snowfall. These results highlight EarthCARE's potential to improve polar climate models.