A5114422918- Meteorological Phenomena and Simulations
- Climate variability and models
- Cryospheric studies and observations
- Atmospheric and Environmental Gas Dynamics
- Climate change and permafrost
- Hydrology and Watershed Management Studies
- Educational Reforms and Innovations
- Precipitation Measurement and Analysis
- Fire effects on ecosystems
- Landslides and related hazards
- Hydrology and Drought Analysis
- Wind and Air Flow Studies
- Data Stream Mining Techniques
- Urban Heat Island Mitigation
- Plant Water Relations and Carbon Dynamics
- 3D Surveying and Cultural Heritage
- Maternal Mental Health During Pregnancy and Postpartum
- Psychology of Development and Education
- Rock Mechanics and Modeling
- COVID-19 and Mental Health
- Hydrological Forecasting Using AI
- Long-Term Effects of COVID-19
- Soil Moisture and Remote Sensing
- Complex Network Analysis Techniques
- Optical measurement and interference techniques
Beijing Municipal Engineering Design and Research Institute (China)
2024
China University of Geosciences (Beijing)
2024
Hunan University
2024
China University of Geosciences
2024
China Meteorological Administration
2017-2021
The Affiliated Yongchuan Hospital of Chongqing Medical University
2021
Chongqing Medical University
2021
National Institute of Meteorology
2020
NSF National Center for Atmospheric Research
2017
Beijing Normal University
2013-2017
Abstract. In this study, we examine the potential of snow water equivalent data assimilation (DA) using ensemble Kalman filter (EnKF) to improve seasonal streamflow predictions. There are several goals study. First, aim some empirical aspects EnKF, namely observational uncertainty estimates and observation transformation operator. Second, use a newly created forcing dataset develop model states that provide an estimate state uncertainty. Third, impact varying on forecast skill. We basins...
Abstract Southwestern North America (SWNA) continuously experienced megadroughts and large wildfires in 2020 2021. Here, we quantified their impact on the terrestrial carbon budget using net biome production (NBP) estimates from an ensemble of atmospheric inversions assimilating in-situ CO 2 Carbon Observatory – (OCO-2) satellite XCO retrievals (OCO-2 v10 MIP Extension), two satellite-based gross primary (GPP) datasets, fire emission datasets. We found that 2021 drought associated SWNA led...
COVID-19 is erupting globally. Mass quarantine had been implemented all around China which could influence the psychological status of patients with memory disorders and their caregivers. To investigate impact mass on caregivers in China. We completed a cross-sectional study 787 registered from 2010 to 2019 Memory Clinic, The First Affiliated Hospital Chongqing Medical University, by telephone interviews. performance neuropsychiatric symptoms (NPSs), sleep, nutrition, chronic diseases...
Abstract In this study, the causes of underestimated diurnal 2-m temperature range and overestimated specific humidity in winter northern China Rapid-Refresh Multiscale Analysis Prediction System–Short Term (RMAPS-ST) are investigated. Three simulations based on RMAPS-ST conducted from 1 November 2016 to 28 February 2017. Further analyses show that partitioning surface upward sensible heat fluxes downward ground might be main contributing factor forecast bias. two examine effect soil...
Abstract Upscaling flux tower measurements based on machine learning (ML) algorithms is an essential approach for large‐scale net ecosystem CO 2 exchange (NEE) estimation, but existing ML upscaling methods face some challenges, particularly in capturing NEE interannual variations (IAVs) that may relate to lagged effects. With the capacity characterize temporal memory effects, Long Short‐Term Memory (LSTM) networks are expected help solve this problem. Here we explored potential of LSTM...
Abstract Precipitation plays a fundamental role in terrestrial modelling and is extremely vulnerable to climate change. It particularly challenging describe precipitation due its intermittency fluctuation at nearly all temporal spatial scales. variability represents the degree of unevenness distribution or lack uniformity over different This study examined seasonal meteorological station observations during 1961–2018 mainland China using entropy theory. The intensity disorder index (IDI)...
Abstract Digital image correlation is widely used in non-contact displacement/strain measurements for numerous engineering applications. Under rigid body rotation or shear deformation, however, the calculated surface strain of specimens unreliable when camera pixels are characterized by non-square geometry, that is, width-to-height ratio not 1. This study analyzes computational errors introduced cameras, and proposes a modified least-squares method eliminates such field calculated....
Accurate estimation of regional-scale terrestrial carbon budgets is great importance but remains challenging. With particular advantages, the Long Short-Term Memory (LSTM) networks method show potential in improving regional budget upscaling estimations. Here, based on LSTM, we upscale net ecosystem exchange (NEE) with available flux tower measurements and satellite land surface observations North America. well-established ecosystem-specific LSTMs, produced monthly NEE at a spatial...
The terrestrial ecosystems of Qinghai-Tibet Plateau (QTP) are highly sensitive to climate change, yet the magnitude and distribution carbon budget for QTP remain quite uncertain. Here, utilizing long short-term memory networks (LSTM), in conjunction with available eddy covariance flux data from recent extensive observation campaigns, multiple satellite land surface data, observation-based environmental (e.g., soil organic carbon, SOC), we revisit regional estimation over a special focus on...
Postpartum Depression (PPD), a common and severe mental disorder, poses great threat to the health life of new mothers their families. Given its long-lasting impact on global public health, PPD has emerged as an urgent issue be addressed. This study discusses potential influencing factors proposes comprehensive framework, arguing that is caused due complexity physical, psychological, social factors. These include but are not limited changes in hormone levels, psychological adaptation...
Land subsidence is a geological process that occurs at slow and persistent pace.However, due to the limited archive of high-resolution SAR images, single-sensor Multi-temporal Interferometric Synthetic Aperture Radar (MTInSAR) technology unable satisfy demands long-term deformation monitoring.To address this issue, we employed Small Baseline Subset InSAR technology, using ALOS-2 Sentinel-1 data, detect characteristics Beijing Subway Network (BSN).The two datasets produced consistent results...
The estimation accuracy of ensemble forecast errors has a key influence on the assimilation results all ensemble-based schemes. transform Kalman filter (ETKF) scheme can assimilate nonlinear observations without using adjoint dynamical model; however, initially estimated must be further adjusted. In this paper, error is improved self-generated analysis and corresponding iterative procedure then established for ETKF with observation operators. validated Lorenz-96 model spatially correlated...
<p> The causes of the underestimated diurnal 2-m temperature range and overestimated specific humidity in Northern China’s winter Rapid-refresh Multi-scale Analysis Prediction System - Short Term (RMAPS-ST) system are investigated. Three simulations based on RMAPS-ST conducted from Nov. 1st, 2016 to Feb. 28th, 2017. Further analyses show that partitioning surface upward sensible heat fluxes downward ground might be main contributing factor forecast...