Automated Author Profile

Birnbaum, Gerit

0000-0002-0252-6781

Current S-Index

489.1

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.1

Average Dataset Index per dataset

Total Datasets

436

Total datasets for this author

Average FAIR Score

94.2%

Average FAIR Score per dataset

Total Citations

36

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Melt pond bathymetry of the MOSAiC floe derived by photogrammetry - spatially fully resolved pond depth maps of an Arctic sea ice floe

A newly developed method to derive melt pond bathymetry from aerial images allowed us to compile spatially fully resolved maps of pond depth on the MOSAiC floe from three measurement flights on 30 June, 17 July, and 22 July 2020. The pond bathymetry maps provide an unprecedented comprehensive insight into the spatial and temporal development of ponds and their geometry. They were derived to better understand pond evolution, determine the volume of water contained in the ponds, and eventually obtain improved parameterizations for ponds. The data is provided in GeoTIFF raster format, with every pixel in ponds containing the depth at that location in meters, downward negative. Pond bathymetry was calculated from orthomosaics and digital elevation models processed from helicopter aerial images collected on MOSAiC floe grid surveys.Pond bathymetry is stored in GeoTIFFs, containing pond depth in meters, in the negative downward direction. Only regions classified as ponds with the classification algorithm PASTA-ice are included. Some pond-like objects on the floe were classified as submerged ice/open water due to their visual appearance or connection to the floe edge and are therefore not included. The raster data is projected in WGS 84 / NSIDC Sea Ice Polar Stereographic North (EPSG:3413). It was derived from the orthomosaics and DEMs presented in doi:10.1594/PANGAEA.949433 and can therefore be overlaid directly with this data.

Authors

  • Fuchs, Niels ;
  • Birnbaum, Gerit
3 Citations0 Mentions96% FAIR3.2 Dataset Index
10.1594/pangaea.964520January 2024

Sea ice drift and surface temperature from autonomous measurements from buoy 2021C40, deployed during MELTEX 2021

Sea ice drift and surface temperature were measured by the Compact Air-Launched Ice Beacon (CALIB) 2021C40 drifting on Arctic sea ice deployed by air-plane drop off during MELTEX 2021. The time series describes the position and additional parameters of the buoy between 29 Jul 2021 and 24 Dec 2022 in sample intervals of 1 hour. The data set has been processed, including the flagging of obvious inconsistencies in position. The position is flagged if the drift velocity exceeds a threshold (Quality flag, position = 1), if the position exceeds extreme values, such as longitude > 360 deg (Quality flag, position = 2), and if the position is exactly 0.0 (Quality flag, position = 4). These quality flag values can be sums of each other.

Authors

  • Birnbaum, Gerit ;
  • Bünger, Hans Jakob ;
  • Neckel, Niklas
0 Citations0 Mentions92% FAIR1.0 Dataset Index
10.1594/pangaea.964962January 2024

Sea ice drift and surface temperature from autonomous measurements from buoy 2022C39, deployed during IceBird summer campaign 2022

Sea ice drift and surface temperature were measured by the Compact Air-Launched Ice Beacon (CALIB) 2022C39 drifting on Arctic sea ice deployed by air-plane drop off during IceBird summer campaign 2022. The time series describes the position and additional parameters of the buoy between 13 Aug 2022 and 09 May 2023 in sample intervals of 1 hour. The data set has been processed, including the flagging of obvious inconsistencies in position. The position is flagged if the drift velocity exceeds a threshold (Quality flag, position = 1), if the position exceeds extreme values, such as longitude > 360 deg (Quality flag, position = 2), and if the position is exactly 0.0 (Quality flag, position = 4). These quality flag values can be sums of each other.

Authors

  • Krumpen, Thomas ;
  • Birnbaum, Gerit
0 Citations0 Mentions92% FAIR1.0 Dataset Index
10.1594/pangaea.964959January 2024

Sea ice drift and surface temperature from autonomous measurements from buoy 2022C37, deployed during IceBird summer campaign 2022

Sea ice drift and surface temperature were measured by the Compact Air-Launched Ice Beacon (CALIB) 2022C37 drifting on Arctic sea ice deployed by air-plane drop off during IceBird summer campaign 2022. The time series describes the position and additional parameters of the buoy between 13 Aug 2022 and 28 Jan 2023 in sample intervals of 1 hour. The data set has been processed, including the flagging of obvious inconsistencies in position. The position is flagged if the drift velocity exceeds a threshold (Quality flag, position = 1), if the position exceeds extreme values, such as longitude > 360 deg (Quality flag, position = 2), and if the position is exactly 0.0 (Quality flag, position = 4). These quality flag values can be sums of each other.

Authors

  • Krumpen, Thomas ;
  • Birnbaum, Gerit
0 Citations0 Mentions92% FAIR1.0 Dataset Index
10.1594/pangaea.964958January 2024

Sea ice drift and surface temperature from autonomous measurements from buoy 2022C35, deployed during IceBird summer campaign 2022

Sea ice drift and surface temperature were measured by the Compact Air-Launched Ice Beacon (CALIB) 2022C35 drifting on Arctic sea ice deployed by air-plane drop off during IceBird summer campaign 2022. The time series describes the position and additional parameters of the buoy between 12 Aug 2022 and 18 Jun 2023 in sample intervals of 1 hour. The data set has been processed, including the flagging of obvious inconsistencies in position. The position is flagged if the drift velocity exceeds a threshold (Quality flag, position = 1), if the position exceeds extreme values, such as longitude > 360 deg (Quality flag, position = 2), and if the position is exactly 0.0 (Quality flag, position = 4). These quality flag values can be sums of each other.

Authors

  • Krumpen, Thomas ;
  • Birnbaum, Gerit
0 Citations0 Mentions92% FAIR1.0 Dataset Index
10.1594/pangaea.964957January 2024

Sea ice drift and surface temperature from autonomous measurements from buoy 2022C33, deployed during IceBird summer campaign 2022

Sea ice drift and surface temperature were measured by the Compact Air-Launched Ice Beacon (CALIB) 2022C33 drifting on Arctic sea ice deployed by air-plane drop off during IceBird summer campaign 2022. The time series describes the position and additional parameters of the buoy between 13 Aug 2022 and 24 Jan 2023 in sample intervals of 1 hour. The data set has been processed, including the flagging of obvious inconsistencies in position. The position is flagged if the drift velocity exceeds a threshold (Quality flag, position = 1), if the position exceeds extreme values, such as longitude > 360 deg (Quality flag, position = 2), and if the position is exactly 0.0 (Quality flag, position = 4). These quality flag values can be sums of each other.

Authors

  • Krumpen, Thomas ;
  • Birnbaum, Gerit
0 Citations0 Mentions92% FAIR1.0 Dataset Index
10.1594/pangaea.964954January 2024

Sea ice drift, surface temperature, and barometric pressure from autonomous measurements from buoy 2021C26, deployed during MELTEX 2021

Sea ice drift, surface temperature, and barometric pressure were measured by the Compact Air-Launched Ice Beacon (CALIB) 2021C26 drifting on Arctic sea ice deployed by air-plane drop off during MELTEX 2021. The time series describes the position and additional parameters of the buoy between 29 Jul 2021 and 08 Feb 2022 in sample intervals of 1 hour. The data set has been processed, including the flagging of obvious inconsistencies in position. The position is flagged if the drift velocity exceeds a threshold (Quality flag, position = 1), if the position exceeds extreme values, such as longitude > 360 deg (Quality flag, position = 2), and if the position is exactly 0.0 (Quality flag, position = 4). These quality flag values can be sums of each other.

Authors

  • Birnbaum, Gerit ;
  • Bünger, Hans Jakob ;
  • Neckel, Niklas
0 Citations0 Mentions92% FAIR1.0 Dataset Index
10.1594/pangaea.964949January 2024

High resolution atmospheric measurements during descending profile SP50319t01 with POLAR 5

The data set consists of high resolution airborne measurements that were obtained mainly over Svalbard and near the sea ice edge north of Svalbard on three days in March 2013 during the campaign "SpringTime Atmospheric Boundary Layer Experiment (STABLE). STABLE was led by the Alfred Wegener Institue (AWI) and by the Finnish Meteorological Institute (FMI). The measurements were performed using the POLAR 5 research aircraft, where all research flights of 5-6 hours duration started and ended at Longyearbyen airport. During STABLE, observations focused on the vertical structure of the lower troposphere as well as boundary layer modifications, e.g. during marine cold-air outbreaks and by convection over leads in sea ice. The data set presented here predominantly consists of measurements that were obtained over the Wijdefjorden, which is a North-South oriented fjord with a length of more than 100km in the northern part of Spitsbergen. The measurements were carried out to study the boundary layer structure in the fjord as well as for analyses of the role of the topography on the atmospheric conditions. In its southern part, the fjord was covered by land-fast sea ice until about 72.5km north of the fjord's head. In its northern part, there was open water.

Authors

  • Michaelis, Janosch ;
  • Hartmann, Jörg ;
  • Schmitt, Amelie U ;
  • Birnbaum, Gerit ;
  • Vihma, Timo ;
  • Lüpkes, Christof
0 Citations0 Mentions96% FAIR1.0 Dataset Index
10.1594/pangaea.961405January 2023

High resolution atmospheric measurements during ascending profile SP50319T01 with POLAR 5

The data set consists of high resolution airborne measurements that were obtained mainly over Svalbard and near the sea ice edge north of Svalbard on three days in March 2013 during the campaign "SpringTime Atmospheric Boundary Layer Experiment (STABLE). STABLE was led by the Alfred Wegener Institue (AWI) and by the Finnish Meteorological Institute (FMI). The measurements were performed using the POLAR 5 research aircraft, where all research flights of 5-6 hours duration started and ended at Longyearbyen airport. During STABLE, observations focused on the vertical structure of the lower troposphere as well as boundary layer modifications, e.g. during marine cold-air outbreaks and by convection over leads in sea ice. The data set presented here predominantly consists of measurements that were obtained over the Wijdefjorden, which is a North-South oriented fjord with a length of more than 100km in the northern part of Spitsbergen. The measurements were carried out to study the boundary layer structure in the fjord as well as for analyses of the role of the topography on the atmospheric conditions. In its southern part, the fjord was covered by land-fast sea ice until about 72.5km north of the fjord's head. In its northern part, there was open water.

Authors

  • Michaelis, Janosch ;
  • Hartmann, Jörg ;
  • Schmitt, Amelie U ;
  • Birnbaum, Gerit ;
  • Vihma, Timo ;
  • Lüpkes, Christof
0 Citations0 Mentions96% FAIR1.0 Dataset Index
10.1594/pangaea.961298January 2023

High resolution atmospheric measurements during ascending profile SP50317T03 with POLAR 5

The data set consists of high resolution airborne measurements that were obtained mainly over Svalbard and near the sea ice edge north of Svalbard on three days in March 2013 during the campaign "SpringTime Atmospheric Boundary Layer Experiment (STABLE). STABLE was led by the Alfred Wegener Institue (AWI) and by the Finnish Meteorological Institute (FMI). The measurements were performed using the POLAR 5 research aircraft, where all research flights of 5-6 hours duration started and ended at Longyearbyen airport. During STABLE, observations focused on the vertical structure of the lower troposphere as well as boundary layer modifications, e.g. during marine cold-air outbreaks and by convection over leads in sea ice. The data set presented here predominantly consists of measurements that were obtained over the Wijdefjorden, which is a North-South oriented fjord with a length of more than 100km in the northern part of Spitsbergen. The measurements were carried out to study the boundary layer structure in the fjord as well as for analyses of the role of the topography on the atmospheric conditions. In its southern part, the fjord was covered by land-fast sea ice until about 72.5km north of the fjord's head. In its northern part, there was open water.

Authors

  • Michaelis, Janosch ;
  • Hartmann, Jörg ;
  • Schmitt, Amelie U ;
  • Birnbaum, Gerit ;
  • Vihma, Timo ;
  • Lüpkes, Christof
0 Citations0 Mentions92% FAIR1.0 Dataset Index
10.1594/pangaea.961299January 2023