A New Aerosol Dry Deposition Model for Air Quality and Climate Modeling [0.03%]
新的气溶胶干沉降模式用于空气质量与气候模拟研究
Jonathan E Pleim,Limei Ran,Rick D Saylor et al.
Jonathan E Pleim et al.
Dry deposition of aerosols from the atmosphere is an important but poorly understood and inadequately modeled process in atmospheric systems for climate and air quality. Comparisons of currently used aerosol dry deposition models to a compe...
BioRT-HBV 1.0: A Biogeochemical Reactive Transport Model at the Watershed Scale [0.03%]
BioRT-HBV 1.0：流域尺度的生物地球化学活性传输模型
Kayalvizhi Sadayappan,Bryn Stewart,Devon Kerins et al.
Kayalvizhi Sadayappan et al.
Reactive Transport Models (RTMs) are essential tools for understanding and predicting intertwined ecohydrological and biogeochemical processes on land and in rivers. While traditional RTMs have focused primarily on subsurface processes, rec...
Accurate and Efficient Numerical Simulation of Land Models Using SUMMA With SUNDIALS [0.03%]
基于SUMMA的SUNDIALS土地模型数值模拟方法及其精度和效率分析
Raymond J Spiteri,Ashley E Van Beusekom,Kyle Klenk et al.
Raymond J Spiteri et al.
Numerical simulation of land models without error control can be highly inaccurate. We present the incorporation of the Suite of Nonlinear and Differential-Algebraic Equation Solvers (SUNDIALS) package to solve the equations that simulate t...
Tuning Earth System Models Without Integrating to Statistical Equilibrium [0.03%]
在不达到统计平衡的情况下调整地球系统模型参数
Timothy DelSole,Michael K Tippett
Timothy DelSole
This paper proposes algorithms for estimating parameters in Earth System Models (ESMs), specifically focusing on simulations that have not yet achieved statistical equilibrium and display climate drift. The basic idea is to treat ESM time s...
Reconstructing the Tropical Pacific Upper Ocean Using Online Data Assimilation With a Deep Learning Model [0.03%]
基于深度学习模式的热带太平洋上层海洋再分析
Zilu Meng,Gregory J Hakim
Zilu Meng
A deep learning (DL) model, based on a transformer architecture, is trained on a climate-model data set and compared with a standard linear inverse model (LIM) in the tropical Pacific. We show that the DL model produces more accurate foreca...
Estimating Ocean Heat Uptake Using Boundary Green's Functions: A Perfect-Model Test of the Method [0.03%]
利用格林函数估计海洋热吸收：方法的完美模型测试
Quran Wu,Jonathan M Gregory
Quran Wu
Ocean heat uptake is caused by "excess heat" being added to the ocean surface by air-sea fluxes and then carried to depths by ocean transports. One way to estimate excess heat in the ocean is to propagate observed sea surface temperature (S...
Arthur Grundner,Tom Beucler,Pierre Gentine et al.
Arthur Grundner et al.
A promising approach to improve cloud parameterizations within climate models and thus climate projections is to use deep learning in combination with training data from storm-resolving model (SRM) simulations. The ICOsahedral Non-hydrostat...
Modeling Isoprene Emission Response to Drought and Heatwaves Within MEGAN Using Evapotranspiration Data and by Coupling With the Community Land Model [0.03%]
基于蒸腾耗水数据并结合社区陆地模型的MEGAN中异戊二烯排放对干旱和热浪响应的建模研究
Hui Wang,Xinchen Lu,Roger Seco et al.
Hui Wang et al.
We introduce two new drought stress algorithms designed to simulate isoprene emission with the Model of Emissions of Gases and Aerosols from Nature (MEGAN) model. The two approaches include the representation of the impact of drought on iso...
Increasingly Sophisticated Climate Models Need the Out-Of-Sample Tests Paleoclimates Provide [0.03%]
日益复杂的气候模型需要全新样本检验的古气候提供更多帮助
Natalie Burls,Navjit Sagoo
Natalie Burls
Climate models are becoming increasingly sophisticated as climate scientists continually work to improve the realism with which the processes influencing Earth's climate are represented. One example is the treatment of cloud microphysics: a...
The Time Scale of Shallow Convective Self-Aggregation in Large-Eddy Simulations Is Sensitive to Numerics [0.03%]
浅积云集合的时空尺度受数值方法的影响较大
Martin Janssens,Jordi Vilà-Guerau de Arellano,Chiel C van Heerwaarden et al.
Martin Janssens et al.
Numerical simulations of the tropical mesoscales often exhibit a self-reinforcing feedback between cumulus convection and shallow circulations, which leads to the self-aggregation of clouds into large clusters. We investigate whether this b...