Jing Tian

Predicting root-zone soil moisture using a small sample deep learning approach

Yalin Xie, Jing Tian, Yongqiang Zhang, Xuanze Zhang et autres

cn (code pays fourni par la source)

Hemispheric asymmetry in evapotranspiration reveals terrestrial water-flux redistribution

Yongqiang Zhang, Congcong Li, Dongdong Kong, Zhenwu Xu et autres

Global warming is widely expected to intensify the hydrological cycle. However, observational evidence for accelerated evapotranspiration (ET), a key terrestrial water cycle and energy balance component, remains ambiguous. Here, we constrained diverse datasets using basin-scale ET estimates covering 47% of global land …

cn, be, au, us, ch, se, Afrique du Sud (code pays fourni par la source)

Environmental dimensionality simplifies biological predictability under complex global change

Peixuan Liu, Bin Huang, Yuan Jia, J W Li et autres

cn (code pays fourni par la source)

Multiple environmental drivers yield predictable growth responses in a marine diatom

Peixuan Liu, Bin Huang, J W Li, Enqi Zhang et autres

Abstract Environmental change is characterized by the simultaneous action of multiple drivers, yet predicting biological responses under high environmental complexity remains challenging. Most experiments examine only a few stressors, leaving uncertainty about how population performance scales as the number of drivers increases. …

cn (code pays fourni par la source)

Recovering the Parameter $α$ in the Simplified Bardina Model through Continuous Data Assimilation

Débora A. F. Albanez, Maicon J. Benvenutti, Jing Tian

In this study, we develop a continuous data assimilation algorithm to recover the parameter $α$ in the simplified Bardina model. Our method utilizes the observations of finitely many Fourier modes by using a nudging framework that involves recursive parameter updates. We provide …

GRACE-based hydrological droughts are less frequent but more severe than meteorological droughts in global major basins

Chun-hua REN, Xuanze Zhang, Jing Tian, X. Li et autres

Satellite observations from the Gravity Recovery and Climate Experiment and its follow-on mission (GRACE/-FO) enable an integrated monitoring of terrestrial water storage (TWS) dynamics, offering a novel perspective for hydrological drought assessment. Existing studies utilizing TWS data often rely on simplistic indices, …

cn (code pays fourni par la source)

Connectivity-Probability-Driven Multi-RIS Placement in Irregular Regions

Yun‐Peng Zhao, Qing Shen, Jing Tian, Wei Liu

The locations of reconfigurable intelligent surfaces (RISs) have significant impact on the communication quality of RIS-assisted wireless communication systems, especially in severely obstructed environments. Despite the existence of numerous studies on RIS placement to enhance communication quality, the study on placement of …

cn, hk (code pays fourni par la source)

Landing Gear Oscillation Prediction Based on DFNN and SINDY

Jian Wei, Yangjing Zhang, Jing Tian, Shidong Ma

cn (code pays fourni par la source)

Satellite data-driven estimation of daily and 500 m net ecosystem exchange over China during 2003–2020

Xian Wang, Yongqiang Zhang, Xuanze Zhang, Shaoyang He et autres

au, cn (code pays fourni par la source)

Parameter analysis in continuous data assimilation for various turbulence models

Débora A. F. Albanez, Maicon J. Benvenutti, Jing Tian

br, us (code pays fourni par la source)

Climate change dominates recent increase in streamflow in the Yellow River Basin

Huang Zhen, Zixuan Tang, Jing Tian, Xuanze Zhang et autres

cn (code pays fourni par la source)

ArtVIP: Articulated Digital Assets of Visual Realism, Modular Interaction, and Physical Fidelity for Robot Learning

Zhengping Che, Zhen Zhao, Kun-Ru Wu, Yuheng Zhang et autres

Robot learning increasingly relies on simulation to advance complex ability such as dexterous manipulations and precise interactions, necessitating high-quality digital assets to bridge the sim-to-real gap. However, existing open-source articulated-object datasets for simulation are limited by insufficient visual realism and low physical …