Skip to content

GitLab

Last edited by brivas
Page history

Introduction

This repository is a collection of python scripts to analyse and plot Sea Surface Temperature data in the southern ocean. The code reads, organises and plot daily SST data from the ESA-CCI Sea Surface Temperature Climate Data Record v2.0 and drifting buoys SST data from ICOADS.

Motivation

We want to know how well do drift buoys sample the Southern Ocean? Is there is any systematic bias introduced in the SST record from the way that buoys move over the ocean.

cci_sst_at_buoy-minus-cci_sst_1x1_at_buoy

To address that question we analyse several re-gridded versions of the ESA-CCI SST data:

  1. ESA-CCI-SST data interpolated to each buoy lat and lon coordinates and averaged over a coarse resolution (1x1 and 2x2 degree grid box).
  2. ESA-CCI-SST data upscale to a coarser grid-box (basically a coarser resolution of the ESA-CCI SST data averaged over a 1x1 and 2x2 degree grid box).

References

Freeman. et al., (2017) Freeman, E., Woodruff, S.D., Worley, S.J., Lubker, S.J., Kent, E.C., Angel, W.E., Berry, D.I., Brohan, P., Eastman, R., Gates, L., Gloeden, W., Ji, Z., Lawrimore, J., Rayner, N.A., Rosenhagen, G. and Smith, S.R. (2017), ICOADS Release 3.0: a major update to the historical marine climate record. Int. J. Climatol., 37: 2211-2232. doi:10.1002/joc.4775

Good, et al. (2019) Good, S.A.; Embury, O.; Bulgin, C.E.; Mittaz, J. (2019): ESA Sea Surface Temperature Climate Change Initiative (SST_cci): Level 4 Analysis Climate Data Record, version 2.1. Centre for Environmental Data Analysis, 22 August 2019. doi:10.5285/62c0f97b1eac4e0197a674870afe1ee6.