Published March 3, 2022
| Version v1
Dataset
Open
Understanding monsoon controls on the energy and mass balance of glaciers in the Central and Eastern Himalaya (Data Sets and Codes)
Authors/Creators
- 1. Swiss Federal Institute for Forest, Snow and Landscape Research (WSL),Birmensdorf, Switzerland
- 2. Department of Geography and Environmental Sciences, Northumbria University, Newcastle, UK
- 3. Department of Civil and Environmental Engineering, National University of Singapore, Singapore
- 4. Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
- 5. Univ. Grenoble Alpes, CNRS, IRD, Grenoble-INP, IGE, 38000 Grenoble, France
- 6. Faculty of Geosciences, Department of Physical Geography, Utrecht University, Utrecht, The Netherlands
- 7. Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, China
Description
This repository contains AWS datasets for the modelling periods considered in the analysis presented in the research paper, together with ablation measurements, pre-processed forcing data, T&C model codes, outputs and scripts for analysing outputs. When previously published elsewhere, references and links to the full, original datasets are provided under References.
Matlab scripts for executing the T&C model are provided and should work stand-alone on any machine with a Matlab version 2019b or later installed.
Notes
Content to be complemented in an updated version of this repository.
Files
TC_monsoon_EB.zip
Additional details
Related works
- References
- Dataset: 10.26066/RDS.1972507 (DOI)
- Dataset: https://glacioclim.osug.fr/IACS-working-group-on-debris-covered-glaciers-Data-from-West-and-North-Changri (URL)
- Dataset: https://data.tpdc.ac.cn/en/data/68b96cdc-cb00-484b-8fad-423bccbc2043/?q=24K (URL)
Funding
References
- ICIMOD. (2021). AWS Yala Glacier [Data set]. ICIMOD. https://doi.org/10.26066/RDS.1972507
- Yang, W. (2018). Conventional ice surface meteorological data for Parlung Glacier No. 4 and Debris-covered 24K Glacier in southeast Tibet from June to September (2016). National Tibetan Plateau Data Center, DOI: 10.11888/AtmosPhys.tpe.249475.db. CSTR: 18406.11.AtmosPhys.tpe.249475.db.