the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Modelling Glacier Evolution in Bhutanese Himalaya during the Little Ice Age
- 1College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- 2Department of Geography, University of Tennessee, Knoxville, TN 37996, USA
- 3Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China
- 1College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
- 2Department of Geography, University of Tennessee, Knoxville, TN 37996, USA
- 3Department of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing 100084, China
Abstract. Mountain glaciers provide us a window into past climate change and landscape evolution, but the pattern of glacier evolution at centennial or suborbital timescale remains elusive, especially in monsoonal Himalayas. We simulated the glacier evolution in Bhutanese Himalaya, a typical monsoon influenced region, during the Little Ice Age (LIA), using the Open Global Glacier Model and six paleo-climate datasets. Compared with the mapped glacial landforms, the model can well capture the glacier length changes, especially for the experiment driving by the GISS climate dataset, but overestimates the changes in glacier area. Simulation results reveal four glacial substages at 1270s–1400s, 1470s–1520s, 1700s–1710s, and 1820s–1900s in the study area. From further analysis, a negative correlation between the number of the substages and glacier length was found, which suggests that the number and occurrence of glacial substages are regulated by the heterogeneous responses of glaciers to climate change. In addition, the changes in summer temperature dominated the glacier evolution in this region during the LIA.
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Weilin Yang et al.
Status: final response (author comments only)
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RC1: 'Comment on tc-2021-352', Atle Nesje, 21 Dec 2021
Surface exposure dating with cosmogenic nuclides is inherited with relatively large age uncertainties (large standard deviations). Dating results using this technique must therefore be interpreted with care, especially when dating young LIA moraines that are relatively close in age. In ideal cases, this dating method should be supplemented with other techniques, such as lichenometry and AMS radiocarbon dating of organic material associated with the marginal moraines. The authors have, however, provided the necessary information about the surface exposure dates in the table of the dated samples.
The English must be checked by an English native person who knows this field of science.
Additional comments/suggestions are provided as sticky notes in the attached file.
- AC1: 'Reply on RC1', Wenchao Chu, 03 Jan 2022
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RC2: 'Comment on tc-2021-352', Julia Eis, 17 Jan 2022
- AC2: 'Reply on RC2', Wenchao Chu, 15 Mar 2022
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RC3: 'Comment on tc-2021-352', David Parkes, 17 Jan 2022
See supplement PDF. The technical comments are light due to the scale of changes anticipated for the next revision.
- AC3: 'Reply on RC3', Wenchao Chu, 15 Mar 2022
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CC1: 'Comment on tc-2021-352', Seyedhamidreza Mojtabavi, 16 Feb 2022
Comment on “Modelling Glacier Evolution in Bhutanese Himalaya during the Little Ice Age” by Weilin Yang et al.
Three reviewers have already mentioned fruitful comments that can improve this manuscript a lot. However, I think the authors can provide a clear workflow diagram that shows the study overview. As a user and developer of OGGM, I would like to try your approche. So, if you provide a workflow it can be very useful and understandable for the OGGM community.- AC4: 'Reply on CC1', Wenchao Chu, 15 Mar 2022
Weilin Yang et al.
Weilin Yang et al.
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