Northern Hemisphere Daily Snow Depth Data Set (2001-2010) - National Cryosphere Desert Data Center

English name

Northern Hemisphere Daily Snow Depth Data Set (2001-2010)

CSTR

CSTR:11738.11.ncdc.CCI.2020.90

DOI

10.12072/ncdc.CCI.db0005.2020

Share type

Category

Snow

contributors

Che Tao

Datasets description

This dataset is a 10-year daily snow depth data in the Northern Hemisphere from 2001 to 2010, covering a range of 0-86°N and 180°W-180°E. This dataset combines the snow cover process model and the snow cover microwave radiation transmission model, absorbs ground observation station data to extract snow depth, and introduces a forest coverage factor to reduce the impact of forests on snow depth retrieval. The ensemble Kalman filter method is used to integrate satellite observed microwave brightness temperatures and simulated brightness temperatures to optimize snow cover parameters; in forest areas, forest coverage is used to reduce the impact of forests, and a Northern Hemisphere snow depth data set is obtained.

Base information

collect time	2001/01/01 - 2010/12/31
collect place	Northern Hemisphere
data size	365.5 MiB
data format	*.txt
Data time resolution	day
Projection	latitude and longitude

Data source description

The raw data used in this dataset is the spaceborne passive microwave brightness temperature data AMSR-E EASE-Grid, which was downloaded from the American Snow and Ice Data Center.

Data processing method

Through the snow cover process model and snow cover microwave radiation transmission model, real-time update of snow cover state variables with snow observation data from northern hemisphere stations, and the Kalman filtering method integrates satellite observed microwave brightness temperatures and simulated brightness temperatures to optimize snow cover parameters and forest areas. Reduce the impact of forests through forest coverage.

Data quality description

Compared with the snow depth observed at the station (snow depth greater than 5cm), the relative deviation in months with deeper snow depth is smaller, while the relative deviation in months with shallower snow depth is larger. For January to April when the snow depth is deeper, the average snow depth is 30cm per month, and the relative deviation is-21%. For May to June and October to December when the snow depth is shallower, the relative deviation is-63.2%.

Project information

#	number	name	type
1	2013CBA01800	Study on the changes of cryosphere and its influence	National Program on Key Basic Research Project (973 Program)
2	2013CBA01802	Research on Cryosphere Changes and Their Impacts: Remote Sensing of Snow Cover in Complex Terrain and Multiscale Snow Cover Variations

Citations and annotations

In order to protect the rights and interests of the platform's scientific and technological resources, expand the services of the platform center, and enhance the application potential of scientific and technological resources, resource users are requested to mark and quote the research results (including published papers, treatises, data products, unpublished research reports, data products, etc.) generated by the use of resources in the following manner.

Because the measurement time of this data set is not consistent and the indicators are complex, if you need detailed original data, please contact the data manager. Contact information: Contact Name: Che Tao Email:chetao@lzb.ac.cn Tel :0931-4967966

For the achievements published in English, please refer to the following specifications： The dataset is provided by National Cryosphere Desert Data Center. (http://www.ncdc.ac.cn).

Data reference

Che Tao. Northern Hemisphere Daily Snow Depth Data Set (2001-2010). National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2020. https://cstr.cn/CSTR:11738.11.ncdc.CCI.2020.90.
Che Tao. Northern Hemisphere Daily Snow Depth Data Set (2001-2010). National Cryosphere Desert Data Center(http://www.ncdc.ac.cn), 2020. https://www.doi.org/10.12072/ncdc.CCI.db0005.2020.

EndnoteEN BibtexEN RISEN

Papers to be cited

Che Tao, Dai Liyun, Zheng Xingming, Li Xiaofeng, Zhao Kai. Estimation of snow depth from passive microwave brightness temperature data in forest regions of northeast China[J]. Remote Sensing of Environment, 2016, 183.

Reference format： Endnote Bibtex RIS
Che Tao, Li Xin, Jin Rui, Huang Chunlin. Assimilating passive microwave remote sensing data into a land surface model to improve the estimation of snow depth[J]. Remote Sensing of Environment, 2014, 143.

Reference format： Endnote Bibtex RIS

license agreement

This work is licensed under CC BY 4.0 (Creative Commons Attribution 4.0 International License).

Relevant data
File list

#	Dataset title
1	Daily Snow Depth Dataset for the Three-River Source Region (1980–2020)
2	MODIS daily cloudless binary snow products in Northern Hemisphere from 2000 to 2015
3	Northern Hemisphere Seasonal Freeze Depth Dataset (1850-2100)
4	snow depth dataset from common statin in the typical regions of China during 2017-2019
5	500m Daily Snow Depth Dataset in Xinjiang (2010-2020)
6	Daily snow depth dataset on the Arctic (1980-2019)
7	Daily 500 m snow depth product in Tibetan Plateau from 1980 to 2022
8	Northern Hemisphere Permafrost Dataset (1986-2098)
9	Daily data product of snow water equivalent in the Northern Hemisphere (2000-2025)
10	10Be exposure ages of moraines in the Northern Hemisphere from the Last Glacial Maximum to the Early Holocene (26.5–10 ka)

#	title	file size
1	2001-2010年北半球雪深数据集.zip	365.4 MiB
2	数据文档_2001-2010年北半球雪深数据集.doc	86.5 KiB

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Theme:
Northern Hemisphere deep snow day by day
Subject:
physical geography
Time:
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
Place:
The northern hemisphere

east 180.00

west 180.00

south

north 86.00

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Contact information

contributors:: Che Tao
author:: Che Tao
manager:: Che Tao

Platform Service information

contacts:: Li Hongxing
phone:: 0931-4967592
mailbox:: ncdc@lzb.ac.cn