Observations and geophysical value-added datasets for cold high mountain and polar regions

References

• Chalov, S., Moreido, V., Ivanov, V., et al. (2022). Assessing suspended sediment fluxes with acoustic Doppler current profilers: Case study from large rivers in Russia. Big Earth Data. 6(4), 381–384. https://doi.org/10.1080/20964471.2022.2116834
   Google Scholar
• Duan, A., Liu, S., Wenting, H., et al. (2022). Long-term daily dataset of surface sensible heat flux and latent heat release over the Tibetan Plateau based on routine meteorological observations. Big Earth Data, 6(4), 1–12. https://doi.org/10.1080/20964471.2022.2037203
   Google Scholar
• Group on Earth Observations (GEO). (2022) 2023-2025 GEO work programme. GEO-18-7.3, GEO-18–2-3. November. https://earthobservations.org/documents/geoweek2022/GEO-18-7.3_2023-2025%20Work%20Programme.pdf
   Google Scholar
• Guo, H. (2018). Steps to the digital Silk Road. Nature, 554(7690), 25–27. https://doi.org/10.1038/d41586-018-01303-y
   Web of Science ®Google Scholar
• Guo, H., Li, X., & Qiu, Y. (2020). Comparison of global change at Earth’s “three poles” using spaceborne Earth observation. Science Bulletin, 4. https://doi.org/10.1016/j.scib.2020.04.031
   Google Scholar
• Hu, Z., Kuenzer, C., Dietz, A. J., et al. (2017). The potential of earth observation for the analysis of cold region land surface dynamics in Europe—A review. Remote Sensing, 9, 1067. https://doi.org/10.3390/rs9101067
   Web of Science ®Google Scholar
• Jiang, L., Yang, J., Zhang, C., et al. (2022). Daily snow water equivalent product with SMMR, SSM/I and SSMIS from 1980 to 2020 over China. Big Earth Data, 6(4), 1–15. https://doi.org/10.1080/20964471.2022.2032998
   Google Scholar
• Kulmala, M. T. (2018). Build a global Earth observatory. Nature, 553(7686), 21–23. https://doi.org/10.1038/d41586-017-08967-y
   Web of Science ®Google Scholar
• Lappalainen, H. K., Petäjä, T., Vihma, T., et al. (2022). Overview: Recent advances in the understanding of the northern Eurasian environments and of the urban air quality in China – a Pan-Eurasian Experiment (PEEX) programme perspective. Atmospheric Chemistry and Physics, 22(7), 4413–4469. https://doi.org/10.5194/acp-22-4413-2022
   Web of Science ®Google Scholar
• Lhakpa, D., Qiu, Y., Lhak, P., et al. (2022). Long-term records of glacier evolution and associated proglacial lakes on the Tibetan Plateau (1976‒2020). Big Earth Data, 6(4), 1–18. https://doi.org/10.1080/20964471.2022.2131956
   Google Scholar
• Liang, D., Guo, H., Zhang, L., et al. (2021): Sentinel-1 EW mode dataset for Antarctica from 2014–2020 produced by the CASEarth cloud service platform. Big Earth Data, 6(4), 1–16. https://doi.org/10.1080/20964471.2021.1976706
   Google Scholar
• Li, X., Che, T., LI, X., et al. (2020). CASEarth Poles - Big data for the three poles. Bulletin of the American Meteorological Society the bulletin of the American Meteorological Society, 3(9), E1475–1491. https://doi.org/10.1175/BAMS-D-19-0280.1
   Google Scholar
• Petäjä, T., Duplissy, E., Tabakova, K., et al. (2020). Overview: Integrative and Comprehensive Understanding on Polar Environments (iCUPE)–concept and initial results. Atmospheric Chemistry and Physics, 20(14), 8551–8592. https://doi.org/10.5194/acp-20-8551-2020
   Web of Science ®Google Scholar
• Pirazzini, R., Tjernström, M., Sandven, S., et al. (2020). INTAROS synthesis of gap analysis of the existing Arctic observing systems. EGU General Assembly 2020, Online 4–8 May 2020, EGU2020–20091. https://doi.org/10.5194/egusphere-egu2020-20091
   Google Scholar
• Pulliainen, J., Cheng, B., & Qiu, Y. (2019). Sustainable earth observations for the Arctic, the Antarctic and the high-altitude mountain cold regions. International Journal of Digital Earth, 12(8), 858–859. https://doi.org/10.1080/17538947.2019.1633737
   Web of Science ®Google Scholar
• Qiu, Y., Massimo, M., Li, X., et al. (2017). Observing and understanding high mountain and cold regions using big earth data. Bulletin of Chinese Academy of Sciences of bulletin of Chinese Academy of Sciences of bulletin of Chinese Academy of Sciences, 32(Z1), 82–94.
   Google Scholar
• Qiu, Y., Savela, H., Key, J. R. et al. (2016). Statement on the GEO cold region initiative (GEOCRI). In Arctic observing summit 2016, University of Calgary, Arctic Institute of North America. 2016. https://earthobservations.org/documents/meetings/201603_arctic_summit/201603_arctic_summit_geocri_statement.pdf
   Google Scholar
• Sandven, S., Sagen, H., Beszczynska-Möller, A., Vo, P., Houssais, M. -N., Sørensen, M., Sejr, M. K., Dzieciuch, M., Worcester, P., Storheim, E., Geyer, F., & Rønning, B. (4–8 May, 2020). Implementation of a multipurpose Arctic ocean observing system, EGU General Assembly 2020. Online EGU2020-20347. https://doi.org/10.5194/egusphere-egu2020-20347
   Google Scholar
• Wang, X., Qiu, Y., Zhang, Y., et al. (2021). A lake ice phenology dataset for the Northern Hemisphere based on passive microwave remote sensing. Big Earth Data. 6(4), 381–384. https://doi.org/10.1080/20964471.2021.1992916
   Google Scholar
• Wu, A., Che, T., Li, X., et al. (2021). A ship navigation information service system for the Arctic Northeast Passage using 3D GIS based on big Earth data. Big Earth Data. 6(4), 381–384. https://doi.org/10.1080/20964471.2021.1981197
   Google Scholar
• Yao, T., Thompson, L., Chen, D. et al. (2022). Reflections and future strategies for Third Pole Environment. Nat Rev Earth Environ, 3 , 608–610. https://doi.org/10.1038/s43017-022-00342-4
   Google Scholar
• Yao, T. D., Thompson, L. G., Mosbrugger, V., et al. (2012). Third Pole Environment (TPE). Environmental Development 3, 52–64. https://doi.org/10.1016/j.envdev.2012.04.002
   Google Scholar
• Zhao, J., Cheng, J., Tian, Z., et al. (2021). Snow and ice thicknesses derived from Fast Ice Prediction System Version 2.0 (FIPS V2.0) in Prydz Bay, East Antarctica: Comparison with in-situ observations. Big Earth Data. 6(4), 381–384. https://doi.org/10.1080/20964471.2021.1981196
   Google Scholar
• Zhao, T., Cosh, M. H., Roy, A., et al. (2021). Remote sensing experiments for Earth system science. International Journal of Digital Earth, 14(10), 1237–1242. https://doi.org/10.1080/17538947.2021.1977473
   Web of Science ®Google Scholar