High-Moutain-Asia-GIS-DATA

Including extents of the High-Mountain Asia region and the sub-resions, as well as the main rivers, lakes and glaciers vector data in this region.

1. Extents

1.1. Tibet extents

TPBoundary_2500, TPBoundary_3000, TPBoundary_HF and TPBoundary_ New.
References:

1. Zhang, Y., Ren, H., Pan, X. (2019). Integration dataset of Tibet Plateau boundary. National Tibetan Plateau Data Center, DOI: 10.11888/Geogra.tpdc.270099. CSTR: 18406.11.Geogra.tpdc.270099. (Data citation)
2. Zhang, Y.L., Li, B.Y., Zheng, D. (2002). A discussion on the boundary and area of the tibetan plateau in china. Geographical Research.
3. Zhang, Y.L., Li, B.Y., Liu, L.S., Zheng, D. (2021). Redetermine the region and boundaries of Tibetan Plateau. GEOGRAPHICAL RESEARCH, 40(6), 1543-1553.
   

1.2. HMA extents (with glacier subregions)

1. Overview of the HMA extents in different researches.
   

1.2.1. hma_subregions_brun2017

References:

1. Brun F, Berthier E, Wagnon P, et al. A spatially resolved estimate of High Mountain Asia glacier mass balances from 2000 to 2016[J]. Nature geoscience, 2017, 10(9): 668-673.

1.2.2. hma_subregions_bolch2019

References:

1. Bolch T, Shea J M, Liu S, et al. Status and change of the cryosphere in the extended Hindu Kush Himalaya region[M]. The Hindu Kush Himalaya Assessment. Springer, Cham, 2019: 209-255.

1.2.3. hma_subregions_gtng_2023

References:

1. GTN-G. GTN-G Glacier Regions. 2023. doi:10.5904/gtng-glacreg-2023-07.
2. Link: https://www.mountcryo.org/datasets/
   

1.2.4. Pan-Tibetan Highlands (hma) extents

(Comprising 4 subregions: Tibetan Plateau, Himalaya, Hengduan Mountains and Mountains of Centra Asia)References:

1. Liu J, Milne R I, Zhu G F, et al. Name and scale matters: Clarifying the geography of Tibetan Plateau and adjacent mountain regions[J]. Global and Planetary Change, 2022: 103893.

2. Basins

2.1. Hydrologic basin with 6 min spatial resolution on Asia

References:

1. Vörösmarty, C. J., McIntyre, P. B., Gessner, M. O., Dudgeon, D., Prusevich, A., Green, P., et al. (2010). Global threats to human water security and river biodiversity. Nature 467, 555–561. doi: 10.1038/nature09440
2. Shean D E, Bhushan S, Montesano P, et al. A systematic, regional assessment of high mountain Asia glacier mass balance[J]. Frontiers in Earth Science, 2020, 7: 363.

2.2. Hydrologic basins from level1-level6 by Lehner and Grill (2013)

Reference:

1. Lehner, B., Grill G. (2013). Global river hydrography and network routing: baseline data and new approaches to study the world’s large river systems. Hydrological Processes, 27(15): 2171–2186.

3. Glaciers

3.1 glacier outline

RGI60_13(Central Asia); RGI60_14(South Asia(West)); RGI60_15(South Asia(East)).
References:

1. RGI Consortium (2017). Randolph Glacier Inventory – A Dataset of Global Glacier Outlines: Version 6.0: Technical Report. Technical report, Global Land Ice Measurements from Space. doi: 10.7265/N5-RGI-60.

3.2 glacier elevation change

References:

1. Hugonnet R, McNabb R, Berthier E, et al. Accelerated global glacier mass loss in the early twenty-first century[J]. Nature, 2021, 592(7856): 726-731.
   

4. Rivers

4.1. Major rivers in HMA

Source: World Band Group References:

1. download from: https://datacatalog.worldbank.org/search/dataset/0042032.
   

4.2. SWORD dataset

River beaches in HMAReferences:

1. Altenau E H, Pavelsky T M, Durand M T, et al. The Surface Water and Ocean Topography (SWOT) Mission River Database (SWORD): A global river network for satellite data products[J]. Water Resources Research, 2021, 57(7): e2021WR030054.
   

5. Lakes

5.1 Global Lakes and Wetlands Database Level-1 (GLWD-1) Dataset

References

1. Lehner, B. and Döll, P. (2004): Development and validation of a global database of lakes, reservoirs and wetlands. Journal of Hydrology 296/1-4: 1-22.

5.2 HydroLakes dataset

Reference:

1. Messager, M.L., Lehner, B., Grill, G., Nedeva, I., Schmitt, O. (2016). Estimating the volume and age of water stored in global lakes using a geo-statistical approach. Nature Communications, 7: 13603. https://doi.org/10.1038/ncomms13603
   

5. Reservoirs

5.1 Global Dam Watch (GDW) dataset

References

1. Mulligan M, Lehner B, Zarfl C, et al. Global Dam Watch: curated data and tools for management and decision making[J]. Environmental Research: Infrastructure and Sustainability, 2021, 1(3): 033003.