Results 61 to 70 of about 3,761,012 (326)

Seasonal drought prediction for semiarid northeastern Brazil: verification of six hydro-meteorological forecast products [PDF]

open access: yesHydrology and Earth System Sciences, 2018
A set of seasonal drought forecast models was assessed and verified for the Jaguaribe River in semiarid northeastern Brazil. Meteorological seasonal forecasts were provided by the operational forecasting system used at FUNCEME (Ceará's research ...
J. M. Delgado   +8 more
doaj   +1 more source

Hydrological Model Diversity Enhances Streamflow Forecast Skill at Short‐ to Medium‐Range Timescales

open access: yesWater Resources Research, 2019
We investigate the ability of hydrological multimodel ensemble predictions to enhance the skill of streamflow forecasts at short‐ to medium‐range timescales.
Sanjib Sharma   +4 more
semanticscholar   +1 more source

Rapid Cyclogenesis from a Mesoscale Frontal Wave on an Atmospheric River: Impacts on Forecast Skill and Predictability during Atmospheric River Landfall

open access: yesJournal of Hydrometeorology, 2019
Mesoscale frontal waves have the potential to modify the hydrometeorological impacts of atmospheric rivers (ARs). The small scale and rapid growth of these waves pose significant forecast challenges.
Andrew C. Martin   +4 more
semanticscholar   +1 more source

Sub-Ensemble Coastal Flood Forecasting: A Case Study of Hurricane Sandy

open access: yesJournal of Marine Science and Engineering, 2017
In this paper, it is proposed that coastal flood ensemble forecasts be partitioned into sub-ensemble forecasts using cluster analysis in order to produce representative statistics and to measure forecast uncertainty arising from the presence of clusters.
Justin A. Schulte
doaj   +1 more source

Forecast skill for individual ensemble members and ensemble mean.

open access: yes, 2023
CanCM4-ROMS-BC skill for each variable is computed in the 75 km wide coastal band extending from 30.5 to 47.5N, and then averaged across all lead times and both initialization months to calculate a mean forecast skill for each variable.
Christopher A. Edwards (2927097)   +10 more
core   +1 more source

Bridging the Loneliness Gap: Depression, Connectivity, and Isolation in Pediatric Oncology Patients and Their Peers

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld   +5 more
wiley   +1 more source

A statistic of the subseasonal forecast skill windows of 2-meter air temperature

open access: yesEnvironmental Research Communications
The forecast skill on subseasonal time scale is currently limited, inhibiting its effective application broadly. Under some special conditions, the subseasonal-seasonal (S2S) forecast skill would be increased intermittently, namely, the forecast ...
Xiaolei Liu   +3 more
doaj   +1 more source

Aerosol data assimilation and forecast using Geostationary Ocean Color Imager aerosol optical depth and in-situ observations during the KORUS-AQ observing period

open access: yesGIScience & Remote Sensing, 2021
This study develops an aerosol data assimilation and forecast system using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) and the three-dimensional variational (3D-VAR) data assimilation method.
Ganghan Kim   +5 more
doaj   +1 more source

Improving sub-seasonal forecast skill of meteorological drought: a weather pattern approach

open access: yesNatural Hazards and Earth System Sciences, 2019
. Dynamical model skill in forecasting extratropical precipitation is limited beyond the medium-range (around 15 d), but such models are often more skilful at predicting atmospheric variables.
Doug Richardson   +4 more
semanticscholar   +1 more source

On the Evaluation of Skill in Binary Forecast

open access: yes, 2022
A good prediction is very important for scientific, economic, and administrative purposes. It is therefore necessary to know whether a predictor is skillful enough to predict the future. Given the increased reliance on predictions in various disciplines, prediction skill index (PSI) is devised. Twenty-four numerical examples are used to demonstrate how
Sitthiyot, Thitithep, Holasut, Kanyarat
openaire   +2 more sources

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