Articles | Volume 21, issue 3
Research article
09 Mar 2017
Research article |  | 09 Mar 2017

CFSv2-based sub-seasonal precipitation and temperature forecast skill over the contiguous United States

Di Tian, Eric F. Wood, and Xing Yuan

Related authors

Customized deep learning for precipitation bias correction and downscaling
Fang Wang, Di Tian, and Mark Carroll
Geosci. Model Dev., 16, 535–556,,, 2023
Short summary
Comparison of probabilistic post-processing approaches for improving numerical weather prediction-based daily and weekly reference evapotranspiration forecasts
Hanoi Medina and Di Tian
Hydrol. Earth Syst. Sci., 24, 1011–1030,,, 2020
Short summary

Related subject area

Subject: Hydrometeorology | Techniques and Approaches: Modelling approaches
Flood risk assessment for Indian sub-continental river basins
Urmin Vegad, Yadu Pokhrel, and Vimal Mishra
Hydrol. Earth Syst. Sci., 28, 1107–1126,,, 2024
Short summary
Key ingredients in regional climate modelling for improving the representation of typhoon tracks and intensities
Qi Sun, Patrick Olschewski, Jianhui Wei, Zhan Tian, Laixiang Sun, Harald Kunstmann, and Patrick Laux
Hydrol. Earth Syst. Sci., 28, 761–780,,, 2024
Short summary
Divergent future drought projections in UK river flows and groundwater levels
Simon Parry, Jonathan D. Mackay, Thomas Chitson, Jamie Hannaford, Eugene Magee, Maliko Tanguy, Victoria A. Bell, Katie Facer-Childs, Alison Kay, Rosanna Lane, Robert J. Moore, Stephen Turner, and John Wallbank
Hydrol. Earth Syst. Sci., 28, 417–440,,, 2024
Short summary
Predicting extreme sub-hourly precipitation intensification based on temperature shifts
Francesco Marra, Marika Koukoula, Antonio Canale, and Nadav Peleg
Hydrol. Earth Syst. Sci., 28, 375–389,,, 2024
Short summary
Hydroclimatic processes as the primary drivers of the Early Khvalynian transgression of the Caspian Sea: new developments
Alexander Gelfan, Andrey Panin, Andrey Kalugin, Polina Morozova, Vladimir Semenov, Alexey Sidorchuk, Vadim Ukraintsev, and Konstantin Ushakov
Hydrol. Earth Syst. Sci., 28, 241–259,,, 2024
Short summary

Cited articles

Brunet, G., Shapiro, M., Hoskins, B., Moncrieff, M., Dole, R., Kiladis, G. N., Kirtman, B., Lorenc, A., Mills, B., Morss, R., Polavarapu, S., Rogers, D., Schaake, J., and Shukla, J.: Collaboration of the weather and climate communities to advance subseasonal-to-seasonal prediction, B. Am. Meteorol. Soc., 91, 1397–1406, 2010
Donkor, E. A., Mazzuchi, T. A., Soyer, R., and Alan Roberson, J.: Urban water demand forecasting: review of methods and models, J. Water Res. Pl.-ASCE, 140, 146–159, 2012.
Garcia-Morales, M. B. and Dubus, L.: Forecasting precipitation for hydroelectric power management: how to exploit GCM's seasonal ensemble forecasts, Int. J. Climatol., 27, 1691,, 2007.
Hagedorn, R., Doblas-Reyes, F. J., and Palmer, T. N.: The rationale behind the success of multi-model ensembles in seasonal forecasting – I. Basic concept, Tellus A, 57, 219–233, 2005.
Hamilton, E., Eade, R., Graham, R. J., Scaife, A. A., Smith, D. M., Maidens, A. and MacLachlan, C.: Forecasting the number of extreme daily events on seasonal timescales, J. Geophys. Res.-Atmos., 117, D03114,, 2012.
Short summary
This study evaluated dynamic climate model sub-seasonal forecasts for important precipitation and temperature indices over the contiguous United States. The presence of active Madden-Julian Oscillation (MJO) events improved weekly mean precipitation forecast skill over most regions. Sub-seasonal forecast indices calculated from the daily forecast showed higher skill than temporally downscaled forecasts, suggesting the usefulness of the daily forecast for sub-seasonal hydrological forecasting.