subject: Soil Moisture creator: Qianlai Zhuang, 0000-0002-4536-9851
Total is 4 Results
Evaluating the variability of surface soil moisture simulated within CMIP5 using SMAP data
10.4231/A0QC-7E03
Pierre Gentine
,
Qianlai Zhuang
,
Seungbum Kim
,
Xuan Xi
12/01/2021
This dataset includes the comparison results of 17 land surface models from the Coupled Model Intercomparison Project Phase 5 (CMIP5) globally using the Soil Moisture Active Passive (SMAP) products and codes for analysis.
EAPS Fourier Analysis Land Surface Model Matlab SMAP Soil Moisture
A Hybrid Physics-Guided Deep Learning Modeling Framework for Predicting Surface Soil Moisture
10.4231/NR0B-EJ07
Qianlai Zhuang
,
Xinyu Liu
,
Xuan Xi
05/24/2024
This dataset contains the main materials for predicting site-level surface soil moisture based on a developed hybrid physics-guided deep learning modeling framework.
EAPS Long short-term memory (LSTM) Physics-Guided Deep Learning Soil Moisture Terrestrial Ecosystem Model (TEM)
Evaluating the effects of precipitation and evapotranspiration on soil moisture variability
10.4231/WHJ3-KN14
Pierre Gentine
,
Qianlai Zhuang
,
Seungbum Kim
,
Xuan Xi
04/22/2022
This dataset includes the comparison results of models from the Coupled Model Intercomparison Project Phase 5 (CMIP5) with Soil Moisture Active Passive (SMAP) and ECMWF Reanalysis v5 (ERA5) products and the corresponding codes for analysis.
CMIP5 EAPS Fourier Analysis Matlab software SMAP Soil Moisture
A Hybrid Physics-Guided Deep Learning Modeling Framework for Predicting Surface Soil Moisture
10.4231/SBB0-V865
Qianlai Zhuang
,
Xinyu Liu
,
Xuan Xi
08/21/2024
This dataset contains the main materials for predicting site-level surface soil moisture based on a developed hybrid physics-guided deep learning modeling framework.
EAPS Long short-term memory (LSTM) Physics-Guided Deep Learning Soil Moisture Terrestrial Ecosystem Model (TEM)
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