Clara Burgard

Clara Burgard
Institut des Géosciences de l'Environnement

PhD in climate science

About

17
Publications
971
Reads
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130
Citations
Citations since 2017
16 Research Items
118 Citations
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2017201820192020202120222023051015202530
2017201820192020202120222023051015202530
Introduction
Hi! I am currently working as a postdoctoral scientist at the Institut des Géosciences et de l'Environnement in Grenoble as part of the H2020 PROTECT project. I am working on parametrizations of melting at the based of Antarctic ice shelves. I conducted my PhD at the Max-Planck-Institute for Meteorology in Hamburg about sea ice in climate models and satellite observations.

Publications

Publications (17)
Article
Ocean-induced ice-shelf melt is one of the largest uncertainty factors in the Antarctic contribution to future sea-level rise. Several parameterisations exist, linking oceanic properties in front of the ice shelf to melt at the base of the ice shelf, to force ice-sheet models. Here, we assess the potential of a range of these existing basal melt pa...
Article
Full-text available
Antarctic Ice Sheet projections show the highest sensitivity to increased basal melting in the Amundsen Sea. However, little is known about the processes that control future increase in melt rates. We build an ensemble of three ocean–sea‐ice–ice‐shelf simulations for both the recent decades and the late 21st century, constrained by regional atmosph...
Article
Full-text available
Seasonal transitions in Arctic sea ice, such as the melt onset, have been found to be useful metrics for evaluating sea ice in climate models against observations. However, comparisons of melt onset dates between climate models and satellite observations are indirect. Satellite data products of melt onset rely on observed brightness temperatures, w...
Preprint
Full-text available
Ocean-induced ice-shelf melt is the highest uncertainty factor in the Antarctic contribution to future sea level. Several parameterisations exist to link oceanic properties to basal melt and force ice-sheet models. Here, we assess the potential of a range of existing basal melt parameterisations to emulate basal melt rates simulated by a cavity-res...
Article
Full-text available
Climate change is all over the news. But what exactly do we mean by “climate” and “climate change?” The word “climate” describes the average state of the atmosphere. It is a result of the composition and interactions between the natural elements: the air, oceans, plants and animals, ice and snow, and rocks. There are several different climate zones...
Article
Full-text available
Our planet’s climate has been warming much faster over the past 100 years than it has over the 10,000 years before that. In this article, we will explore how we know that the climate has changed so quickly in the last century, what carbon dioxide (CO 2 ) has to do with climate change, and why humans are responsible for the recent increase of CO 2 i...
Article
Full-text available
Coastal areas are highly diverse, ecologically rich, regions of key socio-economic activity, and are particularly sensitive to sea-level change. Over most of the 20th century, global mean sea level has risen mainly due to warming and subsequent expansion of the upper ocean layers as well as the melting of glaciers and ice caps. Over the last three...
Preprint
Seasonal transitions in Arctic sea ice, such as the melt onset, have been found to be useful metrics for evaluating sea ice in climate models against observations. However, comparisons of melt onset dates between climate models and satellite observations are indirect. Satellite data products of melt onset rely on observed brightness temperatures, w...
Article
Full-text available
The observational uncertainty in sea ice concentration estimates from remotely sensed passive microwave brightness temperatures is a challenge for reliable climate model evaluation and initialization. To address this challenge, we introduce a new tool: the Arctic Ocean Observation Operator (ARC3O). ARC3O allows us to simulate brightness temperature...
Article
Full-text available
We explore the feasibility of an observation operator producing passive microwave brightness temperatures for sea ice at a frequency of 6.9 GHz. We investigate the influence of simplifying assumptions for the representation of sea ice vertical properties on the simulation of microwave brightness temperatures. We do so in a one-dimensional setup, us...
Preprint
Full-text available
Abstract. The observational uncertainty in sea-ice-concentration estimates from remotely-sensed passive-microwave brightness temperatures is a challenge for reliable climate model evaluation and initialization. To address this challenge, we introduce a new tool: the Arctic Ocean Observation Operator (ARC3O). ARC3O allows us to simulate brightness t...
Preprint
Full-text available
Abstract. We explore the feasibility of an observation operator producing passive microwave brightness temperatures for sea ice at a frequency of 6.9 GHz. We investigate the influence of simplifying assumptions for the representation of sea-ice vertical properties on the simulation of microwave brightness temperatures. We do so in a one-dimensional...
Article
We investigate changes in the Arctic Ocean energy budget simulated by 26 general circulation models in the CMIP5 framework. Our goal is to understand whether the Arctic Ocean warming between 1961 and 2099 is primarily driven by changes in the net atmospheric surface flux or by changes in the meridional oceanic heat flux. We find that the simulated...
Article
Global statistics of snowfall are currently only available from the CloudSat satellite. But CloudSat cannot provide observations of clouds and precipitation within the so-called blind-zone, which is caused by ground-clutter contamination of the CloudSatradar and covers the last [1200]m above land/ice surface. In this study, the impact of the blind-...

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