Interpolation of AMSR2 data for improvement of ice charting

Today, ice charts in Greenland waters are produced manually by the Danish Meteorological Institute (DMI) for selected regions depending on season and shipping routes. The project “Automated Downstream Sea Ice Products for Greenland Waters” or shorter “Automated Sea Ice Products” (ASIP) attempts to a...

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Bibliographic Details
Main Authors: Nielsen, Allan Aasbjerg, Malmgren-Hansen, David, Toudal Pedersen, Leif, Saldo, Roberto, Skriver, Henning, Lavelle, John, Buus-Hinkler, Jørgen, Brandt Kreiner, Matilde
Format: Conference Object
Language:English
Published: 2019
Subjects:
Greenland
Sea ice
Online Access:https://orbit.dtu.dk/en/publications/e7567b4f-574e-4f61-bc22-e895f734c855
https://backend.orbit.dtu.dk/ws/files/197991141/imm7139.pdf
Description
Summary:Today, ice charts in Greenland waters are produced manually by the Danish Meteorological Institute (DMI) for selected regions depending on season and shipping routes. The project “Automated Downstream Sea Ice Products for Greenland Waters” or shorter “Automated Sea Ice Products” (ASIP) attempts to automate this process by means of fusion of data from instruments with different resolutions and modalities. As a part of this process data from the Advanced Microwave Scanning Radiometer (AMSR2) will be interpolated to the geometry of the SAR data acquired by Sentinel-1. In a preparatory leave-one-out cross-validation (LOOCV) study, different interpolation methods including ordinary kriging (OK) are compared. Using bias and root-mean-squared error (RMSE) as measures of precision, OK using 20-30 nearest neighbours outperforms other often used methods such as inverse distance (ID) weighting. This comes at a cost: more work needs to be done by both the operator and the computer.

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