The Winter Foehn Footprint Across McMurdo Dry Valleys of Antarctica Using a Satellite-Derived Data Set-AntAir v1.0

Datta R; Katurji M; Nielsen E; Meyer H; Zawar-Reza P; Valdes ML

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

Abstract Continental-scale mosaics of satellite-based surface brightness temperature from thermal infrared band measurements and derived near-surface air temperatures from geostatistical modeling provide new opportunities for understanding wintertime Foehn wind warming and its potential impacts on the valley floor warming. We have detected and assessed Foehn signatures using a combined data analysis approach from previously developed and validated Antarctic-wide near-surface Air temperature data set (AntAir), automatic weather stations from the McMurdo Dry Valleys, and regional climate model simulations at 10 km spatial grid resolution. Self-organizing maps and data compositing methods on regional climate model outputs provided meteorological context for the AntAir-derived surface climate information. We conclude that AntAir is suitable for surface climatological analyses and improvements are underway to enhance the spatial resolution to sub-kilometer grid scales. Finally, by applying a Foehn detection algorithm over 13 years, we present the spatial climatological footprints of Foehn-induced warming across the Dry Valleys of Antarctica for the first time over the austral winters.

Details zur Publikation

FachzeitschriftJournal of Geophysical Research: Atmospheres
Jahrgang / Bandnr. / Volume129
Ausgabe / Heftnr. / Issue23
StatusVeröffentlicht
Veröffentlichungsjahr2024
Sprache, in der die Publikation verfasst istEnglisch
DOIhttps://doi.org/10.1029/2023JD039300
Link zum Volltexthttps://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2023JD039300
StichwörterRemote Sensing; Antarctica; Climate

Autor*innen der Universität Münster

Lezama Valdes, Lilian-Maite
Professur für Remote Sensing und Spatial Modelling (Prof. Meyer)
Meyer, Hanna
Professur für Remote Sensing und Spatial Modelling (Prof. Meyer)