.png){kind=icon}
R
R. M. Maxwell
H指数:65
被引数:1.8万
浏览量:0
个人简介
暂无内容
教育背景
暂无内容
工作经历
暂无内容
荣誉奖项
暂无内容
Land surface model snow formulation sensitivity and a solar-zenith-angle snow covered area scheme evaluated across the western United States
陆面模型雪参数化方案敏感性及一个基于太阳天顶角的积雪覆盖面积方案在美国西部的评估
Journal of Hydrology
IF6.3
Higher odds of produced-water-like chemistry in groundwater vulnerable to shale gas spills
地下水易受页岩气泄漏影响时，产生类似产出水化学成分的几率更高
Nature Sustainability
IF27.1
Impact of Groundwater-Surface Water Interaction on the Chesapeake Bay Density, Stratification and Mixing Under Normal and Extreme Weather Conditions
地下水-地表水相互作用对切萨皮克湾密度、分层和混合的影响：正常与极端天气条件下的研究
Model-based disaggregation of satellite-based total water storage anomalies for the Upper Colorado River Basin
基于模型的卫星总水储量异常分解方法在上科罗拉多河流域的应用
Journal of Hydrology
IF6.3
A hybrid machine learning and physics-based approach to model high-resolution inundation
混合机器学习与物理基础方法对高分辨率淹没建模
Journal of Hydrology
IF6.3
Data challenges in large-scale transient groundwater modeling using machine learning
基于机器学习的大规模瞬态地下水模拟中的数据挑战
20 years of trials and insights: bridging legacy and next generation in ParFlow and Land Surface Model Coupling
20年试验与洞见：连接ParFlow与陆面模型耦合的现有技术与下一代技术
Coupling the ParFlow Integrated Hydrology Model within the NASA Land Information System: a case study over the Upper Colorado River Basin
将ParFlow集成水文模型耦合到NASA Land Information System：Upper Colorado河流域的一个案例研究
HydroStartML: A combined machine learning and physics-based approach to reduce hydrological model spin-up time
HydroStartML：一种结合机器学习和基于物理的方法以减少水文模型预热时间
CONCN: a high-resolution, integrated surface water-groundwater ParFlow modeling platform of continental China
浓度：一个高分辨率、集成的中国陆地地表水-地下水ParFlow模拟平台
Integrating groundwater pumping data with regression-enhanced random forest models to improve groundwater monitoring and management in a coastal region
将地下水抽水数据与回归增强随机森林模型相结合，以改善沿海地区的地下水监测和管理
FRONTIERS IN WATER
IF2.8
