Analog Forecasting of Extreme-Causing Weather Patterns Using Deep Learning [0.03%]
基于深度学习的极端天气模式模拟预报
Ashesh Chattopadhyay,Ebrahim Nabizadeh,Pedram Hassanzadeh
Ashesh Chattopadhyay
Numerical weather prediction models require ever-growing computing time and resources but, still, have sometimes difficulties with predicting weather extremes. We introduce a data-driven framework that is based on analog forecasting (predic...
Parameterization and Surface Data Improvements and New Capabilities for the Community Land Model Urban (CLMU) [0.03%]
社区土地模型城市版本的参数化和表面数据改进及新功能
K W Oleson,J Feddema
K W Oleson
The Community Land Model Urban (CLMU) is an urban parameterization developed to simulate urban climate within a global Earth System Model framework. This paper describes and evaluates parameterization and surface data improvements, and new ...
Evaluation and enhancement of permafrost modeling with the NASA Catchment Land Surface Model [0.03%]
NASA的Catchment陆面模型中的固态季节性冻土模块的评估和改进研究进展及展望
Jing Tao,Rolf H Reichle,Randal D Koster et al.
Jing Tao et al.
Besides soil hydrology and snow processes, the NASA Catchment Land Surface Model (CLSM) simulates soil temperature in six layers from the surface down to 13m depth. In this study, to examine CLSM's treatment of subsurface thermodynamics, a ...
R Abolafia-Rosenzweig,B Livneh,E E Small et al.
R Abolafia-Rosenzweig et al.
Knowledge of irrigation is essential to support food security, manage depleting water resources, and comprehensively understand the global water and energy cycles. Despite the importance of understanding irrigation, little consistent inform...
Including Stable Carbon Isotopes to Evaluate the Dynamics of Soil Carbon in the Land-Surface Model ORCHIDEE [0.03%]
结合稳定碳同位素评估陆面模型ORCHIDEE中的土壤碳动态
Marta Camino-Serrano,Marwa Tifafi,Jérôme Balesdent et al.
Marta Camino-Serrano et al.
Soil organic carbon (SOC) is a crucial component of the terrestrial carbon cycle and its turnover time in models is a key source of uncertainty. Studies have highlighted the utility of δ13C measurements for benchmarking SOC turnover in glo...
Considering the Role of Adaptive Evolution in Models of the Ocean and Climate System [0.03%]
适应性进化在海洋和气候系统模型中的作用考量
B A Ward,S Collins,S Dutkiewicz et al.
B A Ward et al.
Numerical models have been highly successful in simulating global carbon and nutrient cycles in today's ocean, together with observed spatial and temporal patterns of chlorophyll and plankton biomass at the surface. With this success has co...
Adam Massmann,Pierre Gentine,Changjie Lin
Adam Massmann
Increasing vapor pressure deficit (VPD) increases atmospheric demand for water. While increased evapotranspiration (ET) in response to increased atmospheric demand seems intuitive, plants are capable of reducing ET in response to increased ...
Jessica Vial,Raphaela Vogel,Sandrine Bony et al.
Jessica Vial et al.
A description of the daily cycle of oceanic shallow cumulus for undisturbed boreal winter conditions in the North Atlantic trades is presented. Modern investigation tools are used, including storm-resolving and large-eddy simulations, runov...
Balancing Accuracy, Efficiency, and Flexibility in Radiation Calculations for Dynamical Models [0.03%]
辐射计算的准确性、效率和灵活性之间的平衡在动力模型中的应用
Robert Pincus,Eli J Mlawer,Jennifer S Delamere
Robert Pincus
This paper describes the initial implementation of a new toolbox that seeks to balance accuracy, efficiency, and flexibility in radiation calculations for dynamical models. The toolbox consists of two related code bases: Radiative Transfer ...
Edwin P Gerber,Kevin DallaSanta,Aman Gupta
Edwin P Gerber
The atmospheric circulation response to global warming is important for accurate prediction of climate change on regional scales. For the midlatitudes, shifts in the extratropical jet streams have important consequences for precipitation, b...