Young-Jin Kim Young-Jin Kim Earth’s Largest Icebergs Meeting OSU, Byrd Polar May 8 th, 2005...

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Young-Jin Kim Young-Jin Kim Earth’s Largest Icebergs Meeting OSU, Byrd Polar May 8 th , 2005 Observing the dynamic drift of giant tabular icebergs

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Young-Jin Kim What we have done to date… Autonomous drift stations (position and meteorological data) Seismometer array (iceberg tremor) Snow depth thermistor array (surface melting) Radar ice thickness sounder (iceberg melting) Remotely controlled webcam (ice melange, habitat impact)

Transcript of Young-Jin Kim Young-Jin Kim Earth’s Largest Icebergs Meeting OSU, Byrd Polar May 8 th, 2005...

Page 1: Young-Jin Kim Young-Jin Kim Earth’s Largest Icebergs Meeting OSU, Byrd Polar May 8 th, 2005 Observing the dynamic drift of giant tabular icebergs.

Young-Jin Kim

Young-Jin Kim

Earth’s Largest Icebergs Meeting

OSU, Byrd PolarMay 8th, 2005

Observing the dynamic drift of giant tabular icebergs

Page 2: Young-Jin Kim Young-Jin Kim Earth’s Largest Icebergs Meeting OSU, Byrd Polar May 8 th, 2005 Observing the dynamic drift of giant tabular icebergs.

Young-Jin Kim

What are we interested in…

• Iceberg tracking• Iceberg calving and

disintegration• Iceberg sea-ice

interaction• Seismic tremor due

to icebergs• Iceberg impact on

marine habitats

Page 3: Young-Jin Kim Young-Jin Kim Earth’s Largest Icebergs Meeting OSU, Byrd Polar May 8 th, 2005 Observing the dynamic drift of giant tabular icebergs.

Young-Jin Kim

What we have done to date…• Autonomous drift stations

(position and meteorological data)

• Seismometer array(iceberg tremor)

• Snow depth thermistor array(surface melting)

• Radar ice thickness sounder(iceberg melting)

• Remotely controlled webcam(ice melange, habitat impact)

Page 4: Young-Jin Kim Young-Jin Kim Earth’s Largest Icebergs Meeting OSU, Byrd Polar May 8 th, 2005 Observing the dynamic drift of giant tabular icebergs.

Young-Jin Kim

North

Page 5: Young-Jin Kim Young-Jin Kim Earth’s Largest Icebergs Meeting OSU, Byrd Polar May 8 th, 2005 Observing the dynamic drift of giant tabular icebergs.

Young-Jin Kim

Page 6: Young-Jin Kim Young-Jin Kim Earth’s Largest Icebergs Meeting OSU, Byrd Polar May 8 th, 2005 Observing the dynamic drift of giant tabular icebergs.

Young-Jin Kim

Page 7: Young-Jin Kim Young-Jin Kim Earth’s Largest Icebergs Meeting OSU, Byrd Polar May 8 th, 2005 Observing the dynamic drift of giant tabular icebergs.

Young-Jin Kim

Page 8: Young-Jin Kim Young-Jin Kim Earth’s Largest Icebergs Meeting OSU, Byrd Polar May 8 th, 2005 Observing the dynamic drift of giant tabular icebergs.

Young-Jin Kim

Page 9: Young-Jin Kim Young-Jin Kim Earth’s Largest Icebergs Meeting OSU, Byrd Polar May 8 th, 2005 Observing the dynamic drift of giant tabular icebergs.

Young-Jin Kim

Data stream transmission

• ARGOS system is not always reliable• Transmission interval is 20 minutes• Stack of 3 messages (for each attempt)

that includes current time TN , TN – 1 , TN – 2

Page 10: Young-Jin Kim Young-Jin Kim Earth’s Largest Icebergs Meeting OSU, Byrd Polar May 8 th, 2005 Observing the dynamic drift of giant tabular icebergs.

Young-Jin Kim

Data contamination and loss

• Many data outliers (15% of total dataset) – solely due to ARGOS transmission errors

• Many data duplicates (20% of total dataset)– due to 3 message stack rebroadcast

• Many missing data points (30% of measured)– due to missed uplinks to ARGOS

Page 11: Young-Jin Kim Young-Jin Kim Earth’s Largest Icebergs Meeting OSU, Byrd Polar May 8 th, 2005 Observing the dynamic drift of giant tabular icebergs.

Young-Jin Kim

Page 12: Young-Jin Kim Young-Jin Kim Earth’s Largest Icebergs Meeting OSU, Byrd Polar May 8 th, 2005 Observing the dynamic drift of giant tabular icebergs.

Young-Jin Kim

Page 13: Young-Jin Kim Young-Jin Kim Earth’s Largest Icebergs Meeting OSU, Byrd Polar May 8 th, 2005 Observing the dynamic drift of giant tabular icebergs.

Young-Jin Kim

What’s next?

• Improving ARGOS transmission protocol– Further analysis of data transmission density– Design of intelligent rebroadcast stack to

optimize for bridging satellite orbit gaps e.g. use an adaptive one: TN , TN – 7 , TN – 19

• Better filtering and data processing• Inverse model to explain dynamic drift• Making the data available in general

purpose format (most likely in netCDF)