Articles | Volume 13, issue 10
Earth Syst. Sci. Data, 13, 4711–4726, 2021
https://doi.org/10.5194/essd-13-4711-2021

Special issue: Extreme environment datasets for the three poles

Earth Syst. Sci. Data, 13, 4711–4726, 2021
https://doi.org/10.5194/essd-13-4711-2021

Data description paper 15 Oct 2021

Data description paper | 15 Oct 2021

The NIEER AVHRR snow cover extent product over China – a long-term daily snow record for regional climate research

Xiaohua Hao et al.

Related authors

Development and validation of a new MODIS snow-cover-extent product over China
Xiaohua Hao, Guanghui Huang, Zhaojun Zheng, Xingliang Sun, Wenzheng Ji, Hongyu Zhao, Jian Wang, Hongyi Li, and Xiaoyan Wang
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-556,https://doi.org/10.5194/hess-2021-556, 2021
Preprint under review for HESS
Short summary
Reconstruction of daily gridded snow water equivalent product for the Pan-Arctic region based on a ridge regression machine learning approach
Donghang Shao, Hongyi Li, Jian Wang, Xiaohua Hao, Tao Che, and Wenzheng Ji
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-344,https://doi.org/10.5194/essd-2021-344, 2021
Preprint under review for ESSD
Short summary
Investigation of spatial and temporal variability of river ice phenology and thickness across Songhua River Basin, northeast China
Qian Yang, Kaishan Song, Xiaohua Hao, Zhidan Wen, Yue Tan, and Weibang Li
The Cryosphere, 14, 3581–3593, https://doi.org/10.5194/tc-14-3581-2020,https://doi.org/10.5194/tc-14-3581-2020, 2020
Short summary

Related subject area

Cryosphere – Snow and Sea Ice
Snow depth product over Antarctic sea ice from 2002 to 2020 using multisource passive microwave radiometers
Xiaoyi Shen, Chang-Qing Ke, and Haili Li
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-286,https://doi.org/10.5194/essd-2021-286, 2021
Revised manuscript accepted for ESSD
Short summary
Canadian historical Snow Water Equivalent dataset (CanSWE, 1928–2020)
Vincent Vionnet, Colleen Mortimer, Mike Brady, Louise Arnal, and Ross Brown
Earth Syst. Sci. Data, 13, 4603–4619, https://doi.org/10.5194/essd-13-4603-2021,https://doi.org/10.5194/essd-13-4603-2021, 2021
Short summary
Meteorological, snow and soil data (2013–2019) from a herb tundra permafrost site at Bylot Island, Canadian high Arctic, for driving and testing snow and land surface models
Florent Domine, Georg Lackner, Denis Sarrazin, Mathilde Poirier, and Maria Belke-Brea
Earth Syst. Sci. Data, 13, 4331–4348, https://doi.org/10.5194/essd-13-4331-2021,https://doi.org/10.5194/essd-13-4331-2021, 2021
Short summary
Inter-annual variation in lake ice composition in the European Arctic: observations based on high-resolution thermistor strings
Bin Cheng, Yubing Cheng, Timo Vihma, Anna Kontu, Fei Zheng, Juha Lemmetyinen, Yubao Qiu, and Jouni Pulliainen
Earth Syst. Sci. Data, 13, 3967–3978, https://doi.org/10.5194/essd-13-3967-2021,https://doi.org/10.5194/essd-13-3967-2021, 2021
Short summary
Daily Terra–Aqua MODIS cloud-free snow and Randolph Glacier Inventory 6.0 combined product (M*D10A1GL06) for high-mountain Asia between 2002 and 2019
Sher Muhammad and Amrit Thapa
Earth Syst. Sci. Data, 13, 767–776, https://doi.org/10.5194/essd-13-767-2021,https://doi.org/10.5194/essd-13-767-2021, 2021
Short summary

Cited articles

Arsenault, K. R., Houser, P. R., and De Lannoy, G. J. M.: Evaluation of the MODIS snow cover fraction product, Hydrol. Process., 28, 980–998, https://doi.org/10.1002/hyp.9636, 2014. 
Barnett, T. P., Adam, J. C., and Lettenmaier, D. P.: Potential impacts of a warming climate on water availability in snow-dominated regions, Nature, 438, 303–309, https://doi.org/10.1038/nature04141, 2005. 
Bormann, K. J., Brown, R. D., Derksen, C., and Painter, T. H.: Estimating snow-cover trends from space, Nat. Clim. Change, 8, 924–928, https://doi.org/10.1038/s41558-018-0318-3, 2018. 
Che, T., Li, X., Jin, R., Armstrong, R., and Zhang, T.: Snow depth derived from passive microwave remote-sensing data in China, Ann. Glaciol., 49, 145–154, https://doi.org/10.3189/172756408787814690, 2008. 
Chen, S., Wang, X., Guo, H., Xie, P., Wang, J., and Hao, X.: A Conditional Probability Interpolation Method Based on a Space-Time Cube for MODIS Snow Cover Products Gap Filling, Remote Sens.-Basel, 12, 3577, https://doi.org/10.3390/rs12213577, 2020. 
Download
Short summary
Long-term snow cover data are not only of importance for climate research. Currently China still lacks a high-quality snow cover extent (SCE) product for climate research. This study develops a multi-level decision tree algorithm for cloud and snow discrimination and gap-filled technique based on AVHRR surface reflectance data. We generate a daily 5 km SCE product across China from 1981 to 2019. It has high accuracy and will serve as baseline data for climate and other applications.