Search Results - "Qu, Yuquan"

Inter-comparison of several soil moisture downscaling methods over the Qinghai-Tibet Plateau, China by Qu, Yuquan, Zhu, Zhongli, Montzka, Carsten, Chai, Linna, Liu, Shaomin, Ge, Yong, Liu, Jin, Lu, Zheng, He, Xinlei, Zheng, Jie, Han, Tian

“…•A comprehensive soil moisture downscaling methods comparison scheme was used.•Machine learning methods show high stability but provide smoother spatial…”
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Wildfire precursors show complementary predictability in different timescales by Qu, Yuquan, Miralles, Diego G., Veraverbeke, Sander, Vereecken, Harry, Montzka, Carsten

“…In most of the world, conditions conducive to wildfires are becoming more prevalent. Net carbon emissions from wildfires contribute to a positive climate…”
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Evaluation of SMAP, SMOS-IC, FY3B, JAXA, and LPRM Soil Moisture Products over the Qinghai-Tibet Plateau and Its Surrounding Areas by Liu, Jin, Chai, Linna, Lu, Zheng, Liu, Shaomin, Qu, Yuquan, Geng, Deyuan, Song, Yongze, Guan, Yabing, Guo, Zhixia, Wang, Jian, Zhu, Zhongli

“…High-quality and long time-series soil moisture (SM) data are increasingly required for the Qinghai-Tibet Plateau (QTP) to more accurately and effectively…”
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Rebuilding a Microwave Soil Moisture Product Using Random Forest Adopting AMSR-E/AMSR2 Brightness Temperature and SMAP over the Qinghai–Tibet Plateau, China by Qu, Yuquan, Zhu, Zhongli, Chai, Linna, Liu, Shaomin, Montzka, Carsten, Liu, Jin, Yang, Xiaofan, Lu, Zheng, Jin, Rui, Li, Xiang, Guo, Zhixia, Zheng, Jie

“…Time series of soil moisture (SM) data in the Qinghai–Tibet plateau (QTP) covering a period longer than one decade are important for understanding the dynamics…”
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Applying a Wavelet Transform Technique to Optimize General Fitting Models for SM Analysis: A Case Study in Downscaling over the Qinghai–Tibet Plateau by Hu, Zixuan, Chai, Linna, Crow, Wade T., Liu, Shaomin, Zhu, Zhongli, Zhou, Ji, Qu, Yuquan, Liu, Jin, Yang, Shiqi, Lu, Zheng

“…Soil moisture (SM) is an important land-surface parameter. Although microwave remote sensing is recognized as one of the most appropriate methods for…”
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Rising water-use efficiency in European grasslands is driven by increased primary production by Poppe Terán, Christian, Naz, Bibi S., Graf, Alexander, Qu, Yuquan, Hendricks Franssen, Harrie-Jan, Baatz, Roland, Ciais, Phillipe, Vereecken, Harry

“…Abstract Water-use efficiency is the amount of carbon assimilated per water used by an ecosystem and a key indicator of ecosystem functioning, but its…”
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Deforestation alters dissolved organic carbon and sulfate dynamics in a mountainous headwater catchment—A wavelet analysis by Wang, Qiqi, Qu, Yuquan, Robinson, Kerri-Leigh, Bogena, Heye, Graf, Alexander, Vereecken, Harry, Tietema, Albert, Bol, Roland

“…Deforestation has a wide range of effects on hydrological and geochemical processes. Dissolved organic carbon (DOC) dynamics, a sensitive environmental change…”
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Causation Discovery of Weather and Vegetation Condition on Global Wildfire Using the PCMCI Approach by Qu, Yuquan, Montzka, Carsten, Vereecken, Harry

“…Wildfire is an important process that affects nature environment and living organisms. In this study, we applied a causal network discovery method called PCMCI…”
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Uncertainty analysis of eleven multisource soil moisture products in the third pole environment based on the three-corned hat method by Liu, Jin, Chai, Linna, Dong, Jianzhi, Zheng, Donghai, Wigneron, J.-P., Liu, Shaomin, Zhou, Ji, Xu, Tongren, Yang, Shiqi, Song, Yongze, Qu, Yuquan, Lu, Zheng

“…Soil moisture (SM) is a fundamental environmental variable for characterizing climate, land surface and atmosphere. In recent years, several SM products have…”
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Validation of Five Passive Microwave Remotely Sensed Soil Moisture Products over the Qinghai-Tibet Plateau, China by Liu, Jin, Chai, Linna, Lu, Zheng, Qu, Yuquan, Wang, Jian, Yang, Shiqi

“…High-quality and long-term soil moisture (SM) products are crucial for studying the climate change over the Qinghai-Tibet Plateau. Five passive microwave…”
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Speaker Verification Combining Total Variability Space and Time Delay Neural Network by QU Yuquan, LONG Hua, DUAN Ying, SHAO Yubin, DU Qingzhi

“…Under the short utterance environment, the total variability space underestimates the distribution of speech probabilities, which leads to a decline in speaker…”
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