Articles with "forecast skill" as a keyword



Improving weather forecast skill of the Korean Integrated Model by assimilating Soil Moisture Active Passive soil moisture anomalies

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Published in 2024 at "Quarterly Journal of the Royal Meteorological Society"

DOI: 10.1002/qj.4871

Abstract: This study investigates the potential benefit of assimilating soil moisture (SM) data retrieved from Soil Moisture Active Passive (SMAP) in improving global SM estimates and enhancing the weather forecast skill of the Korean Integrated Model… read more here.

Keywords: soil moisture; forecast skill; soil; bias correction ... See more keywords

Evaluation of NMME temperature and precipitation bias and forecast skill for South Asia

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Published in 2017 at "Climate Dynamics"

DOI: 10.1007/s00382-017-3841-4

Abstract: Systematic error and forecast skill for temperature and precipitation in two regions of Southern Asia are investigated using hindcasts initialized May 1 from the North American Multi-Model Ensemble. We focus on two contiguous but geographically… read more here.

Keywords: forecast skill; temperature precipitation; climatology; skill ... See more keywords

Potential predictability and forecast skill in ensemble climate forecast: a skill-persistence rule

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Published in 2017 at "Climate Dynamics"

DOI: 10.1007/s00382-017-4040-z

Abstract: This study investigates the factors relationship between the forecast skills for the real world (actual skill) and perfect model (perfect skill) in ensemble climate model forecast with a series of fully coupled general circulation model… read more here.

Keywords: forecast skill; model; skill persistence; skill ... See more keywords
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Machine learning for total cloud cover prediction

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Published in 2020 at "Neural Computing and Applications"

DOI: 10.1007/s00521-020-05139-4

Abstract: Accurate and reliable forecasting of total cloud cover (TCC) is vital for many areas such as astronomy, energy demand and production, or agriculture. Most meteorological centres issue ensemble forecasts of TCC; however, these forecasts are… read more here.

Keywords: total cloud; machine learning; forecast skill; ensemble forecasts ... See more keywords

Comparison of extended medium-range forecast skill between KMA ensemble, ocean coupled ensemble, and GloSea5

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Published in 2017 at "Asia-Pacific Journal of Atmospheric Sciences"

DOI: 10.1007/s13143-017-0035-2

Abstract: This article describes a three way inter-comparison of forecast skill on an extended medium-range time scale using the Korea Meteorological Administration (KMA) operational ensemble numerical weather prediction (NWP) systems (i.e., atmosphere-only global ensemble prediction system… read more here.

Keywords: extended medium; medium range; system; forecast skill ... See more keywords

Medium-Range Forecast Skill for Extraordinary Arctic Cyclones in Summer of 2008-2016

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Published in 2018 at "Geophysical Research Letters"

DOI: 10.1029/2018gl077278

Abstract: Arctic cyclones (ACs) are a severe atmospheric phenomenon that affects the Arctic environment. This study assesses the forecast skill of five leading operational medium-range ensemble forecasts for 10 extraordinary ACs that occurred in summer during… read more here.

Keywords: medium range; arctic cyclones; extraordinary acs; skill extraordinary ... See more keywords

Diagnosing Secular Variations in Retrospective ENSO Seasonal Forecast Skill Using CMIP5 Model‐Analogs

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Published in 2019 at "Geophysical Research Letters"

DOI: 10.1029/2018gl080598

Abstract: Retrospective tropical Indo‐Pacific forecasts for 1961–2015 are made using 28 models from the fifth phase of the Coupled Model Intercomparison Project (CMIP5) plus four models from the North American Multi‐Model Ensemble (NMME), using a model‐analog… read more here.

Keywords: model analog; forecast skill; diagnosing secular; model ... See more keywords

Relating CMIP5 Model Biases to Seasonal Forecast Skill in the Tropical Pacific

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Published in 2020 at "Geophysical Research Letters"

DOI: 10.1029/2019gl086765

Abstract: We examine links between tropical Pacific mean state biases and El Niño/Southern Oscillation forecast skill, using model‐analog hindcasts of sea surface temperature (SST; 1961–2015) and precipitation (1979–2015) at leads of 0–12 months, generated by 28… read more here.

Keywords: forecast skill; model; tropical pacific; cmip5 model ... See more keywords

To Identify the Forecast Skill Windows of MJO Based on the S2S Database

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Published in 2024 at "Geophysical Research Letters"

DOI: 10.1029/2024gl109903

Abstract: As a practical reflection of the opportunity window of Madden‐Julian Oscillation (MJO), there are intermittent periods of relatively high forecasting skills, namely the forecast skill windows. Robust forecast skill windows are identified based on the… read more here.

Keywords: database; forecast; forecast skill; skill windows ... See more keywords

Benchmark decadal forecast skill for terrestrial water storage estimated by an elasticity framework

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Published in 2019 at "Nature Communications"

DOI: 10.1038/s41467-019-09245-3

Abstract: A reliable decadal prediction of terrestrial water storage (TWS) is critical for a sustainable management of freshwater resources and infrastructures. However, the dependence of TWS forecast skill on the accuracy of initial hydrological conditions and… read more here.

Keywords: forecast skill; climate; skill; benchmark ... See more keywords

Standard assessments of climate forecast skill can be misleading

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Published in 2021 at "Nature Communications"

DOI: 10.1038/s41467-021-23771-z

Abstract: Assessments of climate forecast skill depend on choices made by the assessor. In this perspective, we use forecasts of the El Niño-Southern-Oscillation to outline the impact of bias-correction on skill. Many assessments of skill from… read more here.

Keywords: forecast skill; standard assessments; climate forecast; skill ... See more keywords