Guido Cervone’s research focuses on the development and application of computational algorithms for the analysis of spatio-temporal remote sensing, numerical modeling, and social media big data related to environmental hazards and renewable energy. He focuses on problems related to the fusion of heterogeneous data at different temporal and spatial scales. Cervone has been an affiliated scientist with the Research Application Laboratory at the National Center for Atmospheric Research in Boulder, Colorado, since 2012. He is an adjunct professor with the Lamont-Doherety Earth Observatory at Columbia University and serves as co-chair of the executive committee and program committee of the American Geophysical Union, focus group on Natural Hazards.
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Projects
Recent Publications
Enhancing flood water level prediction through transfer learning with warmup learning rate scheduling in LSTM models: a comparative case study in Kentucky and Tennessee watersheds
Fordjour, G. K., Nur, F., Kalyanapu, A. J. & Cervone, G., Feb 2025, In: Modeling Earth Systems and Environment. 11, 1, 14.Research output: Contribution to journal › Article › peer-review
Integrating Thermal Infrared Imaging and Weather Data for Short-Term Prediction of Building Envelope Thermal Appearance
Golosov, N. & Cervone, G., Nov 2024, In: Remote Sensing. 16, 21, 3981.Research output: Contribution to journal › Article › peer-review
Growing season convective systems in the US Corn Belt in relation to land use-land cover and synoptic patterns
Hiestand, M. P., Carleton, A. M. & Cervone, G., Apr 2024, In: Theoretical and Applied Climatology. 155, 4, p. 3221-3241 21 p.Research output: Contribution to journal › Article › peer-review
Arctic accessibility: recent trend in observed ship tracks and validation of arctic transport accessibility model
Hu, W., Cervone, G., Trusel, L. & Yu, M., 2024, In: Annals of GIS. 30, 4, p. 455-474 20 p.Research output: Contribution to journal › Article › peer-review
Using human mobility data to detect evacuation patterns in hurricane Ian
Li, X., Qiang, Y. & Cervone, G., 2024, In: Annals of GIS. 30, 4, p. 493-511 19 p.Research output: Contribution to journal › Article › peer-review
Geospatial big data: theory, methods, and applications
Zou, L., Song, Y. & Cervone, G., 2024, In: Annals of GIS. 30, 4, p. 411-415 5 p.Research output: Contribution to journal › Editorial › peer-review
Machine Learning Weather Analogs for Near-Surface Variables
Hu, W., Cervone, G., Young, G. & Delle Monache, L., Mar 2023, In: Boundary-Layer Meteorology. 186, 3, p. 711-735 25 p.Research output: Contribution to journal › Article › peer-review
Multiscale Observation Product (MOP) for Temporal Flood Inundation Mapping of the 2015 Dallas Texas Flood
Sava, E., Cervone, G. & Kalyanapu, A., Mar 2023, In: Remote Sensing. 15, 6, 1615.Research output: Contribution to journal › Article › peer-review
A computationally efficient statistically downscaled 100m resolution Greenland product from the regional climate model MAR
Tedesco, M., Colosio, P., Fettweis, X. & Cervone, G., Nov 30 2023, In: Cryosphere. 17, 12, p. 5061-5074 14 p.Research output: Contribution to journal › Article › peer-review
A new hourly dataset for photovoltaic energy production for the continental USA
Hu, W., Cervone, G., Merzky, A., Turilli, M. & Jha, S., Feb 2022, In: Data in Brief. 40, 107824.Research output: Contribution to journal › Article › peer-review
Assessing boundary condition and parametric uncertainty in numerical-weather-prediction-modeled, long-term offshore wind speed through machine learning and analog ensemble
Bodini, N., Hu, W., Optis, M., Cervone, G. & Alessandrini, S., Nov 3 2021, In: Wind Energy Science. 6, 6, p. 1363-1377 15 p.Research output: Contribution to journal › Article › peer-review
NAM-NMM Temperature Downscaling Using Personal Weather Stations to Study Urban Heat Hazards
Calovi, M., Hu, W., Cervone, G. & Delle Monache, L., Sep 2021, In: GeoHazards. 2, 3, p. 257-276 20 p.Research output: Contribution to journal › Article › peer-review
Probabilistic forecasting using deep generative models
Fanfarillo, A., Roozitalab, B., Hu, W. & Cervone, G., Jan 2021, In: GeoInformatica. 25, 1, p. 127-147 21 p.Research output: Contribution to journal › Article › peer-review
A Bayesian Approach to Estimate the Spatial Distribution of Crowdsourced Radiation Measurements around Fukushima
Hultquist, C., Oravecz, Z. & Cervone, G., Dec 2021, In: ISPRS International Journal of Geo-Information. 10, 12, 822.Research output: Contribution to journal › Article › peer-review
Automatic atmospheric correction for shortwave hyperspectral remote sensing data using a time-dependent deep neural network
Sun, J., Xu, F., Cervone, G., Gervais, M., Wauthier, C. & Salvador, M., Apr 2021, In: ISPRS Journal of Photogrammetry and Remote Sensing. 174, p. 117-131 15 p.Research output: Contribution to journal › Article › peer-review