Bin Cao

Thermal Regime of Permafrost in Tian Shan Mountains from Large Ensemble Numerical Simulations at 1 km2 Scale

Wen Sun, Bin Cao, Wenyu Zhao

In this study, we incorporated a degree-day-based bulk snow scheme into the Flexible Permafrost Model (FPM) to simulate the ground thermal regime over the Tian Shan Mountains (TSM). To account for uncertainties in meteorological forcings and model parameters, we conducted 50-member large …

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Thermal Regime of Permafrost in Tian Shan Mountains from Large Ensemble Numerical Simulations at 1 km2 Scale

Wen Sun, Bin Cao, Wenyu Zhao

In this study, we incorporated a degree-day-based bulk snow scheme into the Flexible Permafrost Model (FPM) to simulate the ground thermal regime over the Tian Shan Mountains (TSM). To account for uncertainties in meteorological forcings and model parameters, we conducted 50-member large …

cn (code pays fourni par la source)

A Physically and Observationally Constrained Dual Machine Learning Framework for Satellite Retrieval of Equivalent Black Carbon in Snow

Wei Pu, Dingfan Cao, Kexin Liu, Shirui Yan et autres

This dataset provides daily, 500 m multi-model ensemble mean estimates of equivalent black carbon in snow (eBCsnow) over northern Xinjiang, Northwest China. The dataset was generated using DML-Sat, a physically and observationally constrained dual machine-learning framework. Here, eBCsnow is defined as the …

cn, hk (code pays fourni par la source)

A Physically and Observationally Constrained Dual Machine Learning Framework for Satellite Retrieval of Equivalent Black Carbon in Snow

Wei Pu, Dingfan Cao, Kexin Liu, Shirui Yan et autres

This dataset provides daily, 500 m multi-model ensemble mean estimates of equivalent black carbon in snow (eBCsnow) over northern Xinjiang, Northwest China. The dataset was generated using DML-Sat, a physically and observationally constrained dual machine-learning framework. Here, eBCsnow is defined as the …

cn, hk (code pays fourni par la source)

Identification and assessment of urban groundwater pollution based on Monte Carlo health risk modeling and self-organizing map (SOM)

Di Kang, Qizhi Hu, Hao Chen, Xiaoyu Xu et autres

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An ECEC Mechanism via an Electrophilic Co(II) Carbene in Reductive Cyclopropanation

Bin Cao, Hao‐Dong Tan, Guixia Liu, Xuebing Leng et autres

Metal carbenes have long been recognized as a pivotal reactive intermediate in organometallic chemistry. Recently catalytic reductive processes with gem -dichloroalkanes have emerged as a promising strategy to generate nonstabilized donor carbenes for alkene cyclopropanation. However, the catalytic cycle remains challenging to …

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Reply on RC3

Bin Cao

Abstract. Permafrost remains a largely subsurface phenomenon, and understanding its dynamics as well as influences under a warming climate heavily relies on numerical simulations. However, this task presents significant challenges as the state-of-the-art land surface models are weak in their ability to …

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Reply on RC1

Bin Cao

Abstract. Permafrost remains a largely subsurface phenomenon, and understanding its dynamics as well as influences under a warming climate heavily relies on numerical simulations. However, this task presents significant challenges as the state-of-the-art land surface models are weak in their ability to …

cn (code pays fourni par la source)

Reply on RC2

Bin Cao

Abstract. Permafrost remains a largely subsurface phenomenon, and understanding its dynamics as well as influences under a warming climate heavily relies on numerical simulations. However, this task presents significant challenges as the state-of-the-art land surface models are weak in their ability to …

cn (code pays fourni par la source)

Brief communication: Reanalyses underperform in cold regions, raising concerns for climate services and research

Bin Cao, Stephan Gruber

Many changes in cold regions are amplified by nonlinear processes involving ice and have important consequences locally and globally. We show that the average ensemble spread of the mean annual air temperature (1.5 °C) in the reanalyses is 90 % greater in …

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Quick Reply on RC2

Bin Cao

Abstract. Permafrost remains a largely subsurface phenomenon, and understanding its dynamics as well as influences under a warming climate heavily relies on numerical simulations. However, this task presents significant challenges as the state-of-the-art land surface models are weak in their ability to …

cn (code pays fourni par la source)

Ensemble numerical simulation of permafrost over the Tibetan Plateau from Flexible Permafrost Model: 1950–2023

Wen Juan Sun, Bin Cao

Abstract. Permafrost remains a largely subsurface phenomenon, and understanding its dynamics as well as influences under a warming climate heavily relies on numerical simulations. However, this task presents significant challenges as the state-of-the-art land surface models are weak in their ability to …

cn (code pays fourni par la source)