A model for Antarctic surface mass balance and ice core site selection
Abstract In this study, we develop a model for Antarctic surface mass balance (SMB), which allows us to assess regional and global uncertainty in SMB estimation and carry out a model‐based design to propose new measurement sites. For this analysis, we use a quality‐controlled aggregate data set of S...
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crwiley:10.1002/env.2579 2024-06-02T07:58:24+00:00 A model for Antarctic surface mass balance and ice core site selection White, Philip A. Reese, C. Shane Christensen, William F. Rupper, Summer National Aeronautics and Space Administration 2019 http://dx.doi.org/10.1002/env.2579 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fenv.2579 https://onlinelibrary.wiley.com/doi/pdf/10.1002/env.2579 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/env.2579 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Environmetrics volume 30, issue 8 ISSN 1180-4009 1099-095X journal-article 2019 crwiley https://doi.org/10.1002/env.2579 2024-05-03T11:46:23Z Abstract In this study, we develop a model for Antarctic surface mass balance (SMB), which allows us to assess regional and global uncertainty in SMB estimation and carry out a model‐based design to propose new measurement sites. For this analysis, we use a quality‐controlled aggregate data set of SMB field measurements with significantly more observations than previous analyses; however, many of the measurements in this data set lack quality ratings. In addition, these data demonstrate spatial autocorrelation, heteroscedasticity, and non‐Gaussianity. To account for these data attributes, we pose a Bayesian Gaussian process generalized linear model for SMB. To address missing reliability ratings, we use a mixture model with different variances to add robustness to our model. In addition, we present a novel approach for modeling the variance as a function of the mean to account for the heteroscedasticity in the data. Using this model, we predict Antarctic SMB and compare our estimates with previous estimates. In addition, we create prediction maps with uncertainty to visualize spatial patterns in SMB and to identify regions of high SMB uncertainty. Our model estimates the total SMB to be 2,156 Gton/yr over the range of our data, with 95% credible interval (2,081, 2,234) Gton/yr. Overall, our results suggest lower Antarctic SMB than previously reported. This lower SMB estimate may be indicative of a more dire diagnosis of the long‐term health of the Antarctic ice sheets. Lastly, we use our model to propose 25 new measurement sites for the field study utilizing a sequential design, minimizing the integrated mean squared error. Article in Journal/Newspaper Antarc* Antarctic ice core Wiley Online Library Antarctic The Antarctic Environmetrics 30 8 |
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English |
description |
Abstract In this study, we develop a model for Antarctic surface mass balance (SMB), which allows us to assess regional and global uncertainty in SMB estimation and carry out a model‐based design to propose new measurement sites. For this analysis, we use a quality‐controlled aggregate data set of SMB field measurements with significantly more observations than previous analyses; however, many of the measurements in this data set lack quality ratings. In addition, these data demonstrate spatial autocorrelation, heteroscedasticity, and non‐Gaussianity. To account for these data attributes, we pose a Bayesian Gaussian process generalized linear model for SMB. To address missing reliability ratings, we use a mixture model with different variances to add robustness to our model. In addition, we present a novel approach for modeling the variance as a function of the mean to account for the heteroscedasticity in the data. Using this model, we predict Antarctic SMB and compare our estimates with previous estimates. In addition, we create prediction maps with uncertainty to visualize spatial patterns in SMB and to identify regions of high SMB uncertainty. Our model estimates the total SMB to be 2,156 Gton/yr over the range of our data, with 95% credible interval (2,081, 2,234) Gton/yr. Overall, our results suggest lower Antarctic SMB than previously reported. This lower SMB estimate may be indicative of a more dire diagnosis of the long‐term health of the Antarctic ice sheets. Lastly, we use our model to propose 25 new measurement sites for the field study utilizing a sequential design, minimizing the integrated mean squared error. |
author2 |
National Aeronautics and Space Administration |
format |
Article in Journal/Newspaper |
author |
White, Philip A. Reese, C. Shane Christensen, William F. Rupper, Summer |
spellingShingle |
White, Philip A. Reese, C. Shane Christensen, William F. Rupper, Summer A model for Antarctic surface mass balance and ice core site selection |
author_facet |
White, Philip A. Reese, C. Shane Christensen, William F. Rupper, Summer |
author_sort |
White, Philip A. |
title |
A model for Antarctic surface mass balance and ice core site selection |
title_short |
A model for Antarctic surface mass balance and ice core site selection |
title_full |
A model for Antarctic surface mass balance and ice core site selection |
title_fullStr |
A model for Antarctic surface mass balance and ice core site selection |
title_full_unstemmed |
A model for Antarctic surface mass balance and ice core site selection |
title_sort |
model for antarctic surface mass balance and ice core site selection |
publisher |
Wiley |
publishDate |
2019 |
url |
http://dx.doi.org/10.1002/env.2579 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fenv.2579 https://onlinelibrary.wiley.com/doi/pdf/10.1002/env.2579 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/env.2579 |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic ice core |
genre_facet |
Antarc* Antarctic ice core |
op_source |
Environmetrics volume 30, issue 8 ISSN 1180-4009 1099-095X |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/env.2579 |
container_title |
Environmetrics |
container_volume |
30 |
container_issue |
8 |
_version_ |
1800741726730584064 |