GNSS characterization of hydrological loading in South and Southeast Asia
The elastic response of the lithosphere to surface mass redistributions produces geodetically measurable deformation of the Earth. This deformation is especially pronounced in South and Southeast Asia, where the annual monsoon produces large-amplitude hydrological loads. The Myanmar–India–Bangladesh...
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Science GNSS Monsoon Materna, Kathryn Feng, Lujia Lindsey, Eric O. Hill, Emma M. Ahsan, Aktarul Khorshed Alam, A. K. M. Kyaw, Moe Oo Than, Oo Aung, Thura Ngwe Khaing, Saw Bürgmann, Roland GNSS characterization of hydrological loading in South and Southeast Asia |
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The elastic response of the lithosphere to surface mass redistributions produces geodetically measurable deformation of the Earth. This deformation is especially pronounced in South and Southeast Asia, where the annual monsoon produces large-amplitude hydrological loads. The Myanmar–India–Bangladesh–Bhutan (MIBB) network of about 20 continuously operating Global Navigation Satellite Systems (GNSS) stations, established in 2011, provides an opportunity to study the Earth's response to these loads. In this study, we use GRACE temporal gravity products as an estimate of long-wavelength surface water distribution and use this estimate in an elastic loading calculation. We compare the predicted vertical deformation from GRACE with that observed with GNSS. We find that elastic loading inferred from the GRACE gravity model is able to explain the phase and much of the peak-to-peak amplitude (typically 2–3 cm) of the vertical GNSS oscillations, especially in northeast India and central Myanmar. GRACE-based corrections reduce the RMS scatter of the GNSS data by 30–45% in these regions. However, this approach does not capture all of the seasonal deformation in central Bangladesh and southern Myanmar. We show by a synthetic test that local hydrological effects may explain discrepancies between the GNSS and GRACE signals in these places. Two independent hydrological loading models of water stored in soil, vegetation, snow, lakes and streams display phase lags compared to the GRACE and GNSS observations, perhaps indicating that groundwater contributes to the observed loading in addition to near-surface hydrology. The results of our calculations have implications for survey-mode GNSS measurements, which make up the majority of geodetic measurements in this region. By using the GNSS data together with estimates of hydrological loading from independent observations and models, we may be able to more accurately determine crustal motions caused by tectonic processes in South and Southeast Asia, while also improving our ability to monitor the annual monsoon and resulting water storage changes in the region. |
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Asian School of the Environment |
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Asian School of the Environment Materna, Kathryn Feng, Lujia Lindsey, Eric O. Hill, Emma M. Ahsan, Aktarul Khorshed Alam, A. K. M. Kyaw, Moe Oo Than, Oo Aung, Thura Ngwe Khaing, Saw Bürgmann, Roland |
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Article |
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Materna, Kathryn Feng, Lujia Lindsey, Eric O. Hill, Emma M. Ahsan, Aktarul Khorshed Alam, A. K. M. Kyaw, Moe Oo Than, Oo Aung, Thura Ngwe Khaing, Saw Bürgmann, Roland |
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Materna, Kathryn |
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GNSS characterization of hydrological loading in South and Southeast Asia |
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GNSS characterization of hydrological loading in South and Southeast Asia |
title_full |
GNSS characterization of hydrological loading in South and Southeast Asia |
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GNSS characterization of hydrological loading in South and Southeast Asia |
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GNSS characterization of hydrological loading in South and Southeast Asia |
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gnss characterization of hydrological loading in south and southeast asia |
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2021 |
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https://hdl.handle.net/10356/148918 |
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sg-ntu-dr.10356-1489182023-02-28T16:40:06Z GNSS characterization of hydrological loading in South and Southeast Asia Materna, Kathryn Feng, Lujia Lindsey, Eric O. Hill, Emma M. Ahsan, Aktarul Khorshed Alam, A. K. M. Kyaw, Moe Oo Than, Oo Aung, Thura Ngwe Khaing, Saw Bürgmann, Roland Asian School of the Environment US Geological Survey, USA Berkeley Seismology Lab, California, USA Geological Survey of Bangladesh, Bangladesh Department of Meterology and Hydrology, Myanmar Myanmar Earthquake Committee, Myanmar Department of Geology, Hinthada University, Myanmar UC Berkeley Earth and Planetary Science Department, University of California Berkeley, USA Earth Observatory of Singapore Science GNSS Monsoon The elastic response of the lithosphere to surface mass redistributions produces geodetically measurable deformation of the Earth. This deformation is especially pronounced in South and Southeast Asia, where the annual monsoon produces large-amplitude hydrological loads. The Myanmar–India–Bangladesh–Bhutan (MIBB) network of about 20 continuously operating Global Navigation Satellite Systems (GNSS) stations, established in 2011, provides an opportunity to study the Earth's response to these loads. In this study, we use GRACE temporal gravity products as an estimate of long-wavelength surface water distribution and use this estimate in an elastic loading calculation. We compare the predicted vertical deformation from GRACE with that observed with GNSS. We find that elastic loading inferred from the GRACE gravity model is able to explain the phase and much of the peak-to-peak amplitude (typically 2–3 cm) of the vertical GNSS oscillations, especially in northeast India and central Myanmar. GRACE-based corrections reduce the RMS scatter of the GNSS data by 30–45% in these regions. However, this approach does not capture all of the seasonal deformation in central Bangladesh and southern Myanmar. We show by a synthetic test that local hydrological effects may explain discrepancies between the GNSS and GRACE signals in these places. Two independent hydrological loading models of water stored in soil, vegetation, snow, lakes and streams display phase lags compared to the GRACE and GNSS observations, perhaps indicating that groundwater contributes to the observed loading in addition to near-surface hydrology. The results of our calculations have implications for survey-mode GNSS measurements, which make up the majority of geodetic measurements in this region. By using the GNSS data together with estimates of hydrological loading from independent observations and models, we may be able to more accurately determine crustal motions caused by tectonic processes in South and Southeast Asia, while also improving our ability to monitor the annual monsoon and resulting water storage changes in the region. Ministry of Education (MOE) National Research Foundation (NRF) Accepted version The authors thank the editor and two anonymous reviewers whose helpful comments greatly improved the manuscript. Many thanks to Christine Puskas at UNAVCO, who computed the GLDAS loading time-series. Thanks also to Yuning Fu for discussions and assistance. GRACE data are available at http://grace.jpl.nasa.gov as D. N. Wiese, D.-N. Yuan, C. Boening, F. W. Landerer, M. M. Watkins. 2018. JPL GRACE Mascon Ocean, Ice and Hydrology Equivalent Water Height Release 06 Coastal Resolution Improvement (CRI) Filtered Version 1.0. Ver. 1.0. PO.DAAC, CA, USA. Data set accessed [2020-05-02] at http://dx.doi.org/10.5067/TEMSC-3MJC6. Some figures were produced with the GMT software (Wessel et al. 2019). KM was supported by the National Science Foundation Graduate Research Fellowship Program and the EAPSI Singapore program. RB acknowledges support from award NNX17AE01G of the NASA Earth Surface and Interior program. The EOS authors and the installation and maintenance of the MIBB network were supported by the Earth Observatory of Singapore, the National Research Foundation of Singapore and the Singapore Ministry of Education under the Research Centres of Excellence initiative. EMH acknowledges support from a Singapore National Research Foundation Investigatorship award (NRF-NRFI05-2019-0009). The MIBB network is also supported by the staff of the EOS Center for Geohazards Observations and collaborators at the Department of Meteorology and Hydrology, Myanmar (Kyaw Moe Oo), Myanmar Earthquake Committee (U. Nyut Maung San), North Eastern Hill University (Devesh Walia), Geological Survey of Bangladesh (Aktarul Ahsan) and Sherubtse College, Royal University of Bhutan (Bimal Sharma). We also thank Syed Humayun Akhter at Dhaka University. This is EOS contribution number 308. 2021-05-28T10:04:41Z 2021-05-28T10:04:41Z 2020 Journal Article Materna, K., Feng, L., Lindsey, E. O., Hill, E. M., Ahsan, A., Khorshed Alam, A. K. M., Kyaw, M. O., Than, O., Aung, T., Ngwe Khaing, S. & Bürgmann, R. (2020). GNSS characterization of hydrological loading in South and Southeast Asia. Geophysical Journal International, 224(3), 1742-1752. https://dx.doi.org/10.1093/gji/ggaa500 1365-246X https://hdl.handle.net/10356/148918 10.1093/gji/ggaa500 3 224 1742 1752 en NRF-NRFI05-2019-0009 Geophysical Journal International This is a pre-copyedited, author-produced PDF of an article accepted for publication in Geophysical Journal International following peer review. The version of record <<Kathryn Materna, Lujia Feng, Eric O Lindsey, Emma M Hill, Aktarul Ahsan, A K M Khorshed Alam, Kyaw Moe Oo, Oo Than, Thura Aung, Saw Ngwe Khaing, Roland Bürgmann, GNSS characterization of hydrological loading in South and Southeast Asia, Geophysical Journal International, Volume 224, Issue 3, March 2021, Pages 1742–1752>> is available online at: https://academic.oup.com/gji/article/224/3/1742/5928552. application/pdf application/pdf |