Published March 5, 2023
| Version V1
Dataset
Open
Soil moisture in %(m3/m3) at 4 layer at 1000 m resolution in Qinghai-Tibet Plateau (QTP_DNN_Sm_L4)
Authors/Creators
- 1. dongzy0501@gmail.com
- 2. wengbs@iwhr.com
Description
Based on the deep neural network, using the SMAP and ERA5 datasets as the target data, and considering the elements of the water cycle process and environmental factors as predictor variables for training, a daily multi-layer soil moisture dataset with a resolution of 1000 meters from 2001 to 2020 was produced. The data set is stored as integer data, scale=100000.
File naming convention:
2001..2020 = time reference: period 2001-2020,
QTP_DNN_Sm = Dataset ID,
L1..L4 = 4 layer soil depth (0-7cm, 7-28cm, 28-100cm, 100-289cm),
day1..day365/day366 = Date order within the year (January 1st - December 31st),
pkl = Data storage format.
Files
2001.zip
Files
(40.4 GB)
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