Frontiers | Advancement in Big Data Science in Hydroclimatology Research

Advancement in Big Data Science in Hydroclimatology Research

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ORIGINAL RESEARCH

Published on 20 May 2022

Application of a Machine Learning Algorithm in Generating an Evapotranspiration Data Product From Coupled Thermal Infrared and Microwave Satellite Observations

Li Fang
Xiwu Zhan
Satya Kalluri
Peng Yu
Chris Hain
Martha Anderson
Istvan Laszlo

Application of a Machine Learning Algorithm in Generating an Evapotranspiration Data Product From Coupled Thermal Infrared and Microwave Satellite Observations

doi 10.3389/fdata.2022.768676

2,217 views
1 citation

ORIGINAL RESEARCH

Published on 15 Feb 2022

Daily Spatial Complete Soil Moisture Mapping Over Southeast China Using CYGNSS and MODIS Data

Ting Yang
Zhigang Sun
Jundong Wang
Sen Li

Daily Spatial Complete Soil Moisture Mapping Over Southeast China Using CYGNSS and MODIS Data

doi 10.3389/fdata.2021.777336

1,960 views
3 citations

ORIGINAL RESEARCH

Published on 04 Feb 2022

Runoff Forecasting Using Machine-Learning Methods: Case Study in the Middle Reaches of Xijiang River

Lu Xiao
Ming Zhong
Dawei Zha

Runoff Forecasting Using Machine-Learning Methods: Case Study in the Middle Reaches of Xijiang River

doi 10.3389/fdata.2021.752406

2,422 views
10 citations

ORIGINAL RESEARCH

Published on 25 Oct 2021

Automated Analysis of the US Drought Monitor Maps With Machine Learning and Multiple Drought Indicators

Pouyan Hatami Bahman Beiglou
Lifeng Luo
Pang-Ning Tan
Lisi Pei

Automated Analysis of the US Drought Monitor Maps With Machine Learning and Multiple Drought Indicators

doi 10.3389/fdata.2021.750536

2,299 views
3 citations

ORIGINAL RESEARCH

Published on 24 Aug 2021

Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere

Yiyi Huang
Matthäus Kleindessner
Alexey Munishkin
Debvrat Varshney
Pei Guo
Jianwu Wang

Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere

doi 10.3389/fdata.2021.642182

5,166 views
16 citations

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