Results 51 to 60 of about 327,440 (196)
A promising alternative to prediction of seasonal mean all India rainfall [PDF]
, 2007 Prediction of seasonal mean All India Rainfall (AIR) is useful during extreme monsoon years (droughts and floods) when the rainfall anomaly is homogeneous over the country. It is, however, useless for any regional hydro-meteorological applications during
Goswami, BN, Xavier, PK
core
Seasonal predictability of Kiremt rainfall in coupled general circulation models
Environmental Research Letters, 2017 The Ethiopian economy and population is strongly dependent on rainfall. Operational seasonal predictions for the main rainy season (Kiremt, June–September) are based on statistical approaches with Pacific sea surface temperatures (SST) as the main ...
Stephanie Gleixner +5 more
doaj +1 more source
Seasonal Performance of a Nonhydrostatic Global Atmospheric Model on a Cubed‐Sphere Grid
Earth and Space Science, 2021 The Korean Integrated Model (KIM), a recently developed nonhydrostatic global atmospheric model over a cubed‐sphere grid, was deployed in April 2020 as an operational weather forecasting model.
Jung‐Eun Esther Kim +3 more
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Weather, climate, and hydrologic forecasting for the US Southwest: A survey [PDF]
, 2002 As part of a regional integrated assessment of climate vulnerability, a survey was conducted from June 1998 to May 2000 of weather, climate, and hydrologic forecasts with coverage of the US Southwest and an emphasis on the Colorado River Basin.
Bales, R, Hartmann, HC, Sorooshian, S
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Seasonal Prediction Potential for Springtime Dustiness in the United States
Geophysical Research Letters, 2019 Most dust forecast models focus on short, subseasonal lead times, that is, 3 to 6 days, and the skill of seasonal prediction is not clear. In this study we examine the potential of seasonal dust prediction in the United States using an observation ...
Bing Pu +3 more
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Frontiers in Plant Science, 2020 Seasonal disease risk prediction using disease epidemiological models and seasonal forecasts has been actively sought over the last decades, as it has been believed to be a key component in the disease early warning system for the pre-season planning of ...
Kwang-Hyung Kim, Eu Ddeum Choi
doaj +1 more source
Oceanic stochastic parametrizations in a seasonal forecast system [PDF]
, 2010 We study the impact of three stochastic parametrizations in the ocean component of a coupled model, on forecast reliability over seasonal timescales. The relative impacts of these schemes upon the ocean mean state and ensemble spread are analyzed.
Andrejczuk, M. +5 more
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Which univariate time series model predicts quicker a crisis? The Iberia case [PDF]
, 1996 In this paper four univariate models are fitted to monthly observations of the number of passengers in the Spanish airline IBERIA from January 1985 to October 1994. During the first part of the sample, the series shows an upward trend which has a rupture
Lorenzo, Fernando, Ruiz, Esther
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Frontiers in Sustainable Food Systems, 2020 The purpose of this study was to evaluate the prediction accuracy of a newly developed crop yield prediction system, composed of a dynamical seasonal climate prediction model (SINTEX-F2) and an eco-physiological process-based crop growth model (PRYSBI2).
Takeshi Doi +2 more
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Seasonal Arctic sea ice predictability and prediction
, 2023 Arctic sea ice plays a central role in the Earth’s climate. Changes in the sea ice on seasonal-to-interannual timescales impact ecosystems, populations and a growing number of stakeholders. A prerequisite for achieving better sea ice predictions is a better understanding of the underlying mechanisms of sea ice predictability.
openaire +4 more sources