日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

A multilevel Bayesian approach to climate-fueled migration and conflict

运用多层次贝叶斯方法分析气候引发的移民和冲突

Palandri, Claire; Concha Larrauri, Paulina; Gelman, Andrew; Puma, Michael J; Lall, Upmanu

Potential climate predictability of renewable energy supply and demand for Texas given the ENSO hidden state

考虑到厄尔尼诺-南方涛动(ENSO)隐性状态,德克萨斯州可再生能源供需的潜在气候可预测性

Zhang, Mengjie; Yan, Lei; Amonkar, Yash; Nayak, Adam; Lall, Upmanu

A k-nearest neighbor space-time simulator with applications to large-scale wind and solar power modeling

基于k近邻时空模拟器的大规模风能和太阳能发电建模应用

Amonkar, Yash; Farnham, David J; Lall, Upmanu

Groundwater depletion will reduce cropping intensity in India

印度地下水枯竭将降低作物种植强度。

Jain, Meha; Fishman, Ram; Mondal, Pinki; Galford, Gillian L; Bhattarai, Nishan; Naeem, Shahid; Lall, Upmanu; Balwinder-Singh; DeFries, Ruth S

Seven centuries of reconstructed Brahmaputra River discharge demonstrate underestimated high discharge and flood hazard frequency

七个世纪以来重建的布拉马普特拉河流量数据表明,实际流量和洪水灾害频率被低估了。

Rao, Mukund P; Cook, Edward R; Cook, Benjamin I; D'Arrigo, Rosanne D; Palmer, Jonathan G; Lall, Upmanu; Woodhouse, Connie A; Buckley, Brendan M; Uriarte, Maria; Bishop, Daniel A; Jian, Jun; Webster, Peter J

Detecting community response to water quality violations using bottled water sales

利用瓶装水销售来检测社区对水质违规行为的反应

Allaire, Maura; Mackay, Taylor; Zheng, Shuyan; Lall, Upmanu

Atmospheric Circulation Patterns Associated with Extreme United States Floods Identified via Machine Learning

利用机器学习识别与美国极端洪水相关的大气环流模式

Schlef, Katherine E; Moradkhani, Hamid; Lall, Upmanu

National trends in drinking water quality violations

全国饮用水水质违规情况趋势

Allaire, Maura; Wu, Haowei; Lall, Upmanu