Comparing remotely sensed observations of clouds and aerosols in the Southern Ocean with climate model simulations
Southern Ocean (SO) shortwave (SW) radiation biases are a common problem in contemporary general circulation models (GCMs), with most models exhibiting a tendency to absorb too much incoming SW radiation. These biases have been attributed to deficiencies in the representation of clouds during the au...
Main Author: | |
---|---|
Other Authors: | , |
Format: | Doctoral or Postdoctoral Thesis |
Language: | English |
Published: |
Zenodo
2020
|
Subjects: | |
Online Access: | https://doi.org/10.5281/zenodo.4281575 |
id |
ftzenodo:oai:zenodo.org:4281575 |
---|---|
record_format |
openpolar |
spelling |
ftzenodo:oai:zenodo.org:4281575 2024-09-15T18:37:09+00:00 Comparing remotely sensed observations of clouds and aerosols in the Southern Ocean with climate model simulations Kuma, Peter McDonald, Adrian Morgenstern, Olaf 2020-11-19 https://doi.org/10.5281/zenodo.4281575 eng eng Zenodo https://doi.org/10.5281/zenodo.3865849 https://doi.org/10.5281/zenodo.4281575 oai:zenodo.org:4281575 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/doctoralThesis 2020 ftzenodo https://doi.org/10.5281/zenodo.428157510.5281/zenodo.3865849 2024-07-27T06:19:25Z Southern Ocean (SO) shortwave (SW) radiation biases are a common problem in contemporary general circulation models (GCMs), with most models exhibiting a tendency to absorb too much incoming SW radiation. These biases have been attributed to deficiencies in the representation of clouds during the austral summer months, either due to cloud cover or cloud albedo being too low. They affect simulation of New Zealand (NZ) and global climate in GCMs due to excessive heating of the sea surface and the effect on large-scale circulation. Therefore, improvement of GCMs is necessary for accurate prediction of future NZ and global climate. We performed ship-based lidar, radar, radiosonde and weather observations on two SO voyages and processed data from multiple past SO voyages. We used the observations and satellite measurements for evaluation of the Hadley Centre Global Environmental Model version 3 (HadGEM3) and contrasting with the Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) to better understand the source of the problem. Due to the nature of lidar observations (the laser signal is quickly attenuated by clouds) they cannot be used for 1:1 comparison with a model without using a lidar simulator, which performs atmospheric radiative transfer calculations of the laser signal. We modify an existing satellite lidar simulator present in the Cloud Feedback Model Intercomparison Project (CFMIP) Observational Simulator Package (COSP) for use with the ground-based lidars used in our observations by modifying the geometry of the radiative transfer calculations, Mie and Rayleigh scattering of the laser signal. We document and make the modified lidar simulator available to the scientific community as part of a newly-developed lidar processing tool called the Automatic Lidar and Ceilometer Framework (ALCF), which enables unbiased comparison between lidar observations and models by performing calibration of lidar backscatter, noise removal and consistent cloud detection. We apply the lidar ... Doctoral or Postdoctoral Thesis Southern Ocean Zenodo |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
English |
description |
Southern Ocean (SO) shortwave (SW) radiation biases are a common problem in contemporary general circulation models (GCMs), with most models exhibiting a tendency to absorb too much incoming SW radiation. These biases have been attributed to deficiencies in the representation of clouds during the austral summer months, either due to cloud cover or cloud albedo being too low. They affect simulation of New Zealand (NZ) and global climate in GCMs due to excessive heating of the sea surface and the effect on large-scale circulation. Therefore, improvement of GCMs is necessary for accurate prediction of future NZ and global climate. We performed ship-based lidar, radar, radiosonde and weather observations on two SO voyages and processed data from multiple past SO voyages. We used the observations and satellite measurements for evaluation of the Hadley Centre Global Environmental Model version 3 (HadGEM3) and contrasting with the Modern-Era Retrospective analysis for Research and Applications version 2 (MERRA-2) to better understand the source of the problem. Due to the nature of lidar observations (the laser signal is quickly attenuated by clouds) they cannot be used for 1:1 comparison with a model without using a lidar simulator, which performs atmospheric radiative transfer calculations of the laser signal. We modify an existing satellite lidar simulator present in the Cloud Feedback Model Intercomparison Project (CFMIP) Observational Simulator Package (COSP) for use with the ground-based lidars used in our observations by modifying the geometry of the radiative transfer calculations, Mie and Rayleigh scattering of the laser signal. We document and make the modified lidar simulator available to the scientific community as part of a newly-developed lidar processing tool called the Automatic Lidar and Ceilometer Framework (ALCF), which enables unbiased comparison between lidar observations and models by performing calibration of lidar backscatter, noise removal and consistent cloud detection. We apply the lidar ... |
author2 |
McDonald, Adrian Morgenstern, Olaf |
format |
Doctoral or Postdoctoral Thesis |
author |
Kuma, Peter |
spellingShingle |
Kuma, Peter Comparing remotely sensed observations of clouds and aerosols in the Southern Ocean with climate model simulations |
author_facet |
Kuma, Peter |
author_sort |
Kuma, Peter |
title |
Comparing remotely sensed observations of clouds and aerosols in the Southern Ocean with climate model simulations |
title_short |
Comparing remotely sensed observations of clouds and aerosols in the Southern Ocean with climate model simulations |
title_full |
Comparing remotely sensed observations of clouds and aerosols in the Southern Ocean with climate model simulations |
title_fullStr |
Comparing remotely sensed observations of clouds and aerosols in the Southern Ocean with climate model simulations |
title_full_unstemmed |
Comparing remotely sensed observations of clouds and aerosols in the Southern Ocean with climate model simulations |
title_sort |
comparing remotely sensed observations of clouds and aerosols in the southern ocean with climate model simulations |
publisher |
Zenodo |
publishDate |
2020 |
url |
https://doi.org/10.5281/zenodo.4281575 |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_relation |
https://doi.org/10.5281/zenodo.3865849 https://doi.org/10.5281/zenodo.4281575 oai:zenodo.org:4281575 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.5281/zenodo.428157510.5281/zenodo.3865849 |
_version_ |
1810481499287322624 |