Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Subseasonal forecasting"'
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 50, Iss , Pp 101584- (2023)
Study RegionUpper Colorado River Basin and Great Basin in the United StatesStudy FocusAccurate subseasonal reservoir inflow forecasts and understanding the influence of hydrometeorological forcings on these forecasts are crucial for improving water r
Externí odkaz:
https://doaj.org/article/5f0f991768fd492d835639752dbd1d48
Autor:
Yanbo Nie, Jianqi Sun
Publikováno v:
Environmental Research Letters, Vol 19, Iss 7, p 074013 (2024)
Subseasonal precipitation forecasting is challenging but critical for water management, energy supply, and disaster prevention. To improve regional subseasonal precipitation prediction, previous studies have proposed a dynamical-statistical projectio
Externí odkaz:
https://doaj.org/article/4f669571bbf84fa0be141fe6e327227c
Autor:
Damien Specq, Lauriane Batté
Publikováno v:
Atmospheric Science Letters, Vol 23, Iss 4, Pp n/a-n/a (2022)
Abstract This study proposes an objective methodology to highlight windows of opportunity in a numerical subseasonal forecasting system. The methodology is based on a contingency table and is applied to the prediction of heavy tropical precipitation
Externí odkaz:
https://doaj.org/article/a0cae2579ce9453d8558f516ca2bb0c4
Akademický článek
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Publikováno v:
Frontiers in Earth Science, Vol 9 (2021)
Precipitation change, which is closely related to drought and flood disasters in China, affects billions of people every year, and the demand for subseasonal forecasting of precipitation is even more urgent. Subseasonal forecasting, which is more dif
Externí odkaz:
https://doaj.org/article/d56329fc3aa94b6cb1fe509df08c5c84
Autor:
Neil Barton, E. Joseph Metzger, Carolyn A. Reynolds, Benjamin Ruston, Clark Rowley, Ole Martin Smedstad, James A. Ridout, Alan Wallcraft, Sergey Frolov, Patrick Hogan, Matthew A. Janiga, Jay F. Shriver, Justin McLay, Prasad Thoppil, Andrew Huang, William Crawford, Timothy Whitcomb, Craig H. Bishop, Luis Zamudio, Michael Phelps
Publikováno v:
Earth and Space Science, Vol 8, Iss 4, Pp n/a-n/a (2021)
Abstract This paper describes the new global Navy Earth System Prediction Capability (Navy‐ESPC) coupled atmosphere‐ocean‐sea ice prediction system developed at the Naval Research Laboratory (NRL) for operational forecasting for timescales of d
Externí odkaz:
https://doaj.org/article/4e70c63f8aeb4b958ec5a10fb0e13497
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 9, Iss 1, Pp 291-306 (2017)
Abstract We propose a general methodology for determining the lagged ensemble that minimizes the mean square forecast error. The MSE of a lagged ensemble is shown to depend only on a quantity called the cross‐lead error covariance matrix, which can
Externí odkaz:
https://doaj.org/article/d8848a2be8b5400aba9925ac24aff209
Akademický článek
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Publikováno v:
Wind; Volume 2; Issue 2; Pages: 221-245
This paper investigated the development of a hybrid model for wind speed forecast, ranging from 1 to 46 days, in the northeast of Brazil. The prediction system was linked to the widely used numerical weather prediction from the ECMWF global ensemble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83f4211acdd12e8d6c328e190d512a8e
https://doi.org/10.3390/wind2020013
https://doi.org/10.3390/wind2020013
Publikováno v:
Frontiers in Earth Science, Vol 9 (2021)
Precipitation change, which is closely related to drought and flood disasters in China, affects billions of people every year, and the demand for subseasonal forecasting of precipitation is even more urgent. Subseasonal forecasting, which is more dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eab6f086d3fb448e0c9c9720f7247179
https://www.frontiersin.org/articles/10.3389/feart.2021.659310/full
https://www.frontiersin.org/articles/10.3389/feart.2021.659310/full