2024

  1. Arctic accessibility: recent trend in observed ship tracks and validation of arctic transport accessibility model
    Weiming Hu, Guido Cervone, Luke Trusel, and Manzhu Yu
    Annals of GIS, 2024
    Website
  2. Deep Learning of a 200-member Ensemble with a Limited Historical Training to Improve the Prediction of Extreme Precipitation Events
    Mohammadvaghef Ghazvinian, Luca Delle Monache, Vesta Afzali Gorooh, Daniel Steinhoff, Agniv Sengupta, Weiming Hu, Matthew Simpson, Rachel Weihs, Caroline Papadopoulos, Patrick Mulrooney, and 1 more author
    Monthly Weather Review, 2024
    Website
  3. People and Data: solving planetary challenges together
    Chiara Vanalli, Emily Howerton, Fuhan Yang, Thu Nguyen-Anh Tran, and Weiming Hu
    Frontiers in Environmental Science, 2024
    Website

2023

  1. Theory of spatiotemporal deep analogs and their application to solar forecasting
    Weiming Hu, Guido Cervone, and George Young
    2023
    Website
  2. Deep Learning Forecast Uncertainty for Precipitation over Western US
    Weiming Hu, Mohammadvaghef Ghazvinian, William E Chapman, Agniv Sengupta, Fred Martin Ralph, and Luca Delle Monache
    Monthly Weather Review, 2023
    PDF Website
  3. Machine Learning Weather Analogs for Near-Surface Variables
    Weiming Hu, Guido Cervone, George Young, and Luca Delle Monache
    Boundary-Layer Meteorology, 2023
    Website
  4. A scalable solution for running ensemble simulations for photovoltaic energy
    Weiming Hu, Guido Cervone, Matteo Turilli, Andre Merzky, and Shantenu Jha
    Recent Advancement in Geoinformatics and Data Science, 2023
    PDF Website

2022

  1. A new hourly dataset for photovoltaic energy production for the continental USA
    Weiming Hu, Guido Cervone, Andre Merzky, Matteo Turilli, and Shantenu Jha
    Data in Brief, 2022
    Website
  2. Forecasting extreme weather events and associated impacts: case studies
    Martina Calovi, Weiming Hu, Laura Clemente, and Guido Cervone
    Extreme Weather Forecasting, 2022
    Website

2021

  1. Parallel analog ensemble-the power of weather analogs
    Weiming Hu, Guido Cervone, Laura Clemente-Harding, and Martina Calovi
    In Proceedings of the 2020 Improving Scientific Software Conference, 2021
    Website
  2. Assessing boundary condition and parametric uncertainty in numerical-weather-prediction-modeled, long-term offshore wind speed through machine learning and analog ensemble
    Nicola Bodini, Weiming Hu, Mike Optis, Guido Cervone, and Stefano Alessandrini
    Wind Energy Science, 2021
    Website
  3. NAM-NMM Temperature Downscaling Using Personal Weather Stations to Study Urban Heat Hazards
    Martina Calovi, Weiming Hu, Guido Cervone, and Luca Delle Monache
    GeoHazards, 2021
    Website
  4. Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for localized surface temperature forecasting in an urban environment
    Manzhu Yu, Fangcao Xu, Weiming Hu, Jian Sun, and Guido Cervone
    IEEE Access, 2021
    Website
  5. Probabilistic forecasting using deep generative models
    Alessandro Fanfarillo, Behrooz Roozitalab, Weiming Hu, and Guido Cervone
    GeoInformatica, 2021
    Website

2019

  1. Dynamically Optimized Unstructured Grid (DOUG) for Analog Ensemble of numerical weather predictions using evolutionary algorithms
    Weiming Hu, and Guido Cervone
    Computers & Geosciences, 2019
    Website

2018

  1. Harnessing the power of many: Extensible toolkit for scalable ensemble applications
    Vivek Balasubramanian, Matteo Turilli, Weiming Hu, Matthieu Lefebvre, Wenjie Lei, Ryan Modrak, Guido Cervone, Jeroen Tromp, and Shantenu Jha
    In 2018 IEEE international parallel and distributed processing symposium (IPDPS), 2018
    Website