2015
DOI: 10.5194/tc-9-285-2015
|View full text |Cite
|
Sign up to set email alerts
|

Cloud and precipitation properties from ground-based remote-sensing instruments in East Antarctica

Abstract: Abstract. A new comprehensive cloud–precipitation–meteorological observatory has been established at Princess Elisabeth base, located in the escarpment zone of Dronning Maud Land (DML), East Antarctica. The observatory consists of a set of ground-based remote-sensing instruments (ceilometer, infrared pyrometer and vertically profiling precipitation radar) combined with automatic weather station measurements of near-surface meteorology, radiative fluxes, and snow height. In this paper, the observatory is presen… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

5
136
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 129 publications
(156 citation statements)
references
References 102 publications
5
136
0
Order By: Relevance
“…Furthermore, field observations are sparse and rare in Antarctica, which prevents a robust evaluation of remote sensing retrievals. For instance, determining the contribution of shallow precipitation to total precipitation remains an issue, and in-situ observations, as those presented by Gorodetskaya et al (2015), should provide new informations for assessing the contribution of shallow precipitation. New in-situ observations of precipitation are needed in Antarctica to evaluate and improve remote sensing retrievals, and thus for more robust evaluation of climate model simulations.…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, field observations are sparse and rare in Antarctica, which prevents a robust evaluation of remote sensing retrievals. For instance, determining the contribution of shallow precipitation to total precipitation remains an issue, and in-situ observations, as those presented by Gorodetskaya et al (2015), should provide new informations for assessing the contribution of shallow precipitation. New in-situ observations of precipitation are needed in Antarctica to evaluate and improve remote sensing retrievals, and thus for more robust evaluation of climate model simulations.…”
Section: Discussionmentioning
confidence: 99%
“…van den Broeke, 2004;Sedlar et al, 2011;Gorodetskaya et al, 2015) and evaluation purposes of climate models (e.g. Gallée and Gorodetskaya, 2010;King et al, 2015;English et al, 2015).…”
Section: Discussionmentioning
confidence: 99%
“…For developing the methodology and evaluation purposes, retrieved radiative fluxes from CloudSat and CALIPSO are compared to ground-based fluxes measured by AWSs, including five stations from the Baseline Surface Radiation Network (BSRN) (Ohmura et al, 1998) and an AWS at the Princess Elisabeth (PE) station in Antarctica (Gorodetskaya et al, 2013(Gorodetskaya et al, , 2015 (Fig. 2).…”
Section: Study Area and Automatic Weather Stationsmentioning
confidence: 99%
“…In austral winter, however, there is a structural underestimation of the longwave incoming radiation in the model simulation, which equals on average 20 W/m 2 . Based on cloud (phase) observations at the Princess Elisabeth station (71°57 ′ S, 23°21 ′ E; Figure ), located in Dronning Maud Land, it is hypothesized that this could be attributed to an underestimation in the amount of (liquid‐containing) clouds over the station during austral winter (Gorodetskaya et al, ). Clouds have a large radiative effect on the ice sheet and significantly contribute to the amount of incoming longwave radiation (Van Tricht et al, ).…”
Section: Model Evaluationmentioning
confidence: 99%
“…During the austral winter of 2015, ceilometer observations are available at the Princess Elisabeth station. This instrument can detect cloud base heights and is able to make a distinction between liquid and ice clouds using the approach of Gorodetskaya et al () and Van Tricht et al (). In austral winter 2015, the ceilometer observed overcast conditions 77% of the time.…”
Section: Model Evaluationmentioning
confidence: 99%