Analysis of climate signals in the crop yield record of sub‐Saharan Africa AL Hoffman, AR Kemanian, CE Forest Global change biology 24 (1), 143-157, 2018 | 108 | 2018 |
The response of maize, sorghum, and soybean yield to growing-phase climate revealed with machine learning AL Hoffman, AR Kemanian, CE Forest Environmental Research Letters 15 (9), 094013, 2020 | 72 | 2020 |
Fast parameter estimation of generalized extreme value distribution using neural networks S Rai, A Hoffman, S Lahiri, DW Nychka, SR Sain, S Bandyopadhyay Environmetrics 35 (3), e2845, 2024 | 9 | 2024 |
Estimating the sensitivity of regional dust sources to sea surface temperature patterns AL Hoffman, CE Forest, W Li Journal of Geophysical Research: Atmospheres 119 (17), 10,160-10,174, 2014 | 9 | 2014 |
Detecting the Effect of Dust and Other Climate Variables on Crop Yields Using Diagnostic Statistical Crop Models AL Hoffman The Pennsylvania State University, 2018 | 2 | 2018 |
Disentangling the Response of Corn, Sorghum and Soybean to Climate Variables in the United States. AL Hoffman, AR Kemanian, CE Forest ASA, CSSA, and CSA International Annual Meeting (2018), 2018 | 1 | 2018 |
Addressing Environmental Risks in the Changing Climate of Nepal EC Weatherhead, S Gautam, BR Adhikari, M Arnold, A Hoffman, M Evans 104th AMS Annual Meeting, 2024 | | 2024 |
Principles for Using Climate Science to Address Climate Justice EC Weatherhead, M Arnold, A Hoffman, HM Hampson, J Mansfield, ... 104th AMS Annual Meeting, 2024 | | 2024 |
Understanding and Addressing Climate Risks in the Caquetá River Valley EC Weatherhead, J Delgado, HM Hampson, A Hoffman, M Arnold, ... 104th AMS Annual Meeting, 2024 | | 2024 |
Principles and Examples of Climate Justice within the United Nations' Development Goals Framework EC Weatherhead, M Arnold, J Mansfield, H Hampson, C Yonan, ... AGU Fall Meeting Abstracts 2023 (3), GC31M-03, 2023 | | 2023 |
Climate Services to Help Conservation of Critical Ecosystems and Climate Change Adaptation in Colombia J Delgado, EC Weatherhead, G Armenta, MC Ramos, M Evans, ... 103rd AMS Annual Meeting, 2023 | | 2023 |
Downscaling Global Heat Exposure Metrics to Subkilometer Resolutions EA Middlemas, LE Madaus, G Yacalis, S Sain, AL Hoffman 102nd American Meteorological Society Annual Meeting, 2022 | | 2022 |
Understanding Global Wildfire Risk across Historical and Future Scenarios in CMIP6 A Hoffman, LE Madaus 102nd American Meteorological Society Annual Meeting, 2022 | | 2022 |
Flexible Python-Based Statistical Workflow for Flood Risk Estimates Applied across CMIP6 Models AL Hoffman, S Sain, J Jacobson 101st American Meteorological Society Annual Meeting, 2021 | | 2021 |
From Operational to Planning: Fire and Fire Risk Predictions across Scales JP Hacker, C Smith, AL Hoffman, A Jordi 101st American Meteorological Society Annual Meeting, 2021 | | 2021 |
Applications of Artificial Intelligence to the Coastal Environment; Artificial Intelligence Applied to Remote Sensing G Dusek, J Feyen, P Tissot, S Sain, AL Hoffman 101st American Meteorological Society Annual Meeting, 2021 | | 2021 |
Flexible methodology for hyperlocal flooding risk due to sea level rise A Hoffman, SR Sain, J Jacobson AGU Fall Meeting Abstracts 2020, NH038-0011, 2020 | | 2020 |
What can crop modelers learn from machine learning models about corn, sorghum and soybean? A Kemanian, A Hoffman, F Chris ICROPM2020: Second International Crop Modelling Symposium, 2020 | | 2020 |
Machine Learning Downscaling of Extreme Heat Events in New York City A Hoffman, L Madaus, J Pullen, J Hacker 100th American Meteorological Society Annual Meeting, 2020 | | 2020 |
Estimating the impact of mineral aerosols on crop yields in food insecure regions using statistical crop models A Hoffman, CE Forest, A Kemanian AGU Fall Meeting Abstracts 2016, A14C-08, 2016 | | 2016 |