Artículos con órdenes de acceso público - Tom HamillMás información
Disponibles en algún lugar: 39
Comparison of global precipitation estimates across a range of temporal and spatial scales
M Gehne, TM Hamill, GN Kiladis, KE Trenberth
Journal of Climate 29 (21), 7773-7795, 2016
Órdenes: US National Science Foundation, US Department of Energy, US National …
Coupled data assimilation for integrated earth system analysis and prediction
SG Penny, TM Hamill
Bulletin of the American Meteorological Society 98 (7), ES169-ES172, 2017
Órdenes: US National Oceanic and Atmospheric Administration
Towards probabilistic multivariate ENSO monitoring
T Zhang, A Hoell, J Perlwitz, J Eischeid, D Murray, M Hoerling, TM Hamill
Geophysical Research Letters 46 (17-18), 10532-10540, 2019
Órdenes: US National Oceanic and Atmospheric Administration
The US National Blend of Models for statistical postprocessing of probability of precipitation and deterministic precipitation amount
TM Hamill, E Engle, D Myrick, M Peroutka, C Finan, M Scheuerer
Monthly Weather Review 145 (9), 3441-3463, 2017
Órdenes: US National Oceanic and Atmospheric Administration
Using artificial neural networks for generating probabilistic subseasonal precipitation forecasts over California
M Scheuerer, MB Switanek, RP Worsnop, TM Hamill
Monthly Weather Review 148 (8), 3489-3506, 2020
Órdenes: US National Oceanic and Atmospheric Administration, State of Califonia
Probabilistic precipitation forecast postprocessing using quantile mapping and rank-weighted best-member dressing
TM Hamill, M Scheuerer
Monthly Weather Review 146 (12), 4079-4098, 2018
Órdenes: US National Oceanic and Atmospheric Administration
A method for preferential selection of dates in the S chaake shuffle approach to constructing spatiotemporal forecast fields of temperature and precipitation
M Scheuerer, TM Hamill, B Whitin, M He, A Henkel
Water Resources Research 53 (4), 3029-3046, 2017
Órdenes: US National Oceanic and Atmospheric Administration
The reanalysis for the global ensemble forecast system, version 12
TM Hamill, JS Whitaker, A Shlyaeva, G Bates, S Fredrick, P Pegion, ...
Monthly Weather Review 150 (1), 59-79, 2022
Órdenes: US National Oceanic and Atmospheric Administration
GEFSv12 reforecast dataset for supporting subseasonal and hydrometeorological applications
H Guan, Y Zhu, E Sinsky, B Fu, W Li, X Zhou, X Xue, D Hou, J Peng, ...
Monthly Weather Review 150 (3), 647-665, 2022
Órdenes: US National Oceanic and Atmospheric Administration
Accounting for representativeness in the verification of ensemble precipitation forecasts
ZB Bouallegue, T Haiden, NJ Weber, TM Hamill, DS Richardson
Monthly Weather Review 148 (5), 2049-2062, 2020
Órdenes: US National Oceanic and Atmospheric Administration
THORPEX research and the science of prediction
DB Parsons, M Beland, D Burridge, P Bougeault, G Brunet, J Caughey, ...
Bulletin of the American Meteorological Society 98 (4), 807-830, 2017
Órdenes: US National Science Foundation, US National Aeronautics and Space …
Ocean observations to improve our understanding, modeling, and forecasting of subseasonal-to-seasonal variability
AC Subramanian, MA Balmaseda, L Centurioni, R Chattopadhyay, ...
Frontiers in Marine Science 6, 427, 2019
Órdenes: US National Science Foundation, US National Aeronautics and Space …
Generating calibrated ensembles of physically realistic, high-resolution precipitation forecast fields based on GEFS model output
M Scheuerer, TM Hamill
Journal of Hydrometeorology 19 (10), 1651-1670, 2018
Órdenes: US National Oceanic and Atmospheric Administration
Generating wind power scenarios for probabilistic ramp event prediction using multivariate statistical post-processing
RP Worsnop, M Scheuerer, TM Hamill, JK Lundquist
Wind Energy Science 3 (1), 371-393, 2018
Órdenes: US Department of Energy, US National Oceanic and Atmospheric Administration
Statistical postprocessing of dual‐resolution ensemble precipitation forecasts across Europe
E Gascón, D Lavers, TM Hamill, DS Richardson, Z Ben Bouallègue, ...
Quarterly Journal of the Royal Meteorological Society 145 (724), 3218-3235, 2019
Órdenes: US National Oceanic and Atmospheric Administration, European Commission
Verification of quantitative precipitation reforecasts over the southeastern United States
MA Baxter, GM Lackmann, KM Mahoney, TE Workoff, TM Hamill
Weather and Forecasting 29 (5), 1199-1207, 2014
Órdenes: US Department of Energy
Extended-range probabilistic fire-weather forecasting based on ensemble model output statistics and ensemble copula coupling
RP Worsnop, M Scheuerer, TM Hamill
Monthly Weather Review 148 (2), 499-521, 2020
Órdenes: US National Oceanic and Atmospheric Administration, US Department of Agriculture
Probabilistic precipitation-type forecasting based on GEFS ensemble forecasts of vertical temperature profiles
M Scheuerer, S Gregory, TM Hamill, PE Shafer
Monthly Weather Review 145 (4), 1401-1412, 2017
Órdenes: US National Oceanic and Atmospheric Administration
Challenges and opportunities in numerical weather prediction
JA Brotzge, D Berchoff, DNL Carlis, FH Carr, RH Carr, JJ Gerth, BD Gross, ...
Bulletin of the American Meteorological Society 104 (3), E698-E705, 2023
Órdenes: US National Oceanic and Atmospheric Administration
A visual voting framework for weather forecast calibration
H Liao, Y Wu, L Chen, TM Hamill, Y Wang, K Dai, H Zhang, W Chen
2015 IEEE scientific visualization conference (SciVis), 25-32, 2015
Órdenes: National Natural Science Foundation of China
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