drought forecasting
A baseline probabilistic drought forecasting framework using standardized soil moisture index: application to the 2012 United States drought
... based drought forecasting relative to using accumulated pre- ...meteorological drought prediction (Lyon et ...severe/extreme drought conditions in the past ...summer drought prediction ...
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A Wavelet-ARIMA Model for Drought Forecasting using SPI Data
... (SPI) drought data for ...for forecasting were compared with that of the traditional ARIMA model using the Root Mean Square Error (RMSE), Mean Average Error (MAE) and coefficient of correlation (R) as the ...
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A hybrid Box-Jenkins and decomposition model for drought forecasting in Kuala Terengganu
... for drought forecasting in Terengganu using EasyFit ...on drought forecasting for Kuala Terengganu will also be compared via the forecasting error measurements, MAE and ...
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Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model
... of drought behavior. As the predictors of drought also exhibit nonlinear and non-stationary phenomenon, the presence of non-stationarity features ...for drought forecasting using MARS, LSSVM ...
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Hydrological drought forecasting and skill assessment for the Limpopo River basin, southern Africa
... Yuan et al. (2013) note that “The major source of sea- sonal forecast predictability comes from the ocean, and the strongest signal is the El Niño Southern Oscillation (ENSO)”. Given that the ECMWF S4 is influenced by ...
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Forecasting Seasonal Inflow to Reservoirs Combining Copula-Based Bayesian Network Method with Drought Forecasting
... were used to verify the forecast results from the trained copula-based Bayesian network module.. Seasonal inflow of dams. 98.. 3 Methodology 99.[r] ...
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Real time drought forecasting system for irrigation management
... A lack of water has always been one of the most critical fac- tors for the survival of populations around the world. The United Nations proclaimed the year 2003 as the international year of freshwater and the year 2006 ...
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Characterizing, Monitoring and Forecasting of Drought in Jordan River Basin
... a drought year is expected and a wet year is an- ticipated if the jet stream moves south ...[29]. Drought can certainly aggravate the water scarcity problem in Jordan and create severe ...with ...
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Selection of representative feature training sets with self-organized maps for optimized time series modeling and prediction: application to forecasting daily drought conditions with ARIMA and neural network models
... in drought forecasting is the optimal con- figuration of data-driven models in an ensemble with Kohonen’s self-organizing map (SOM) (Kohonen, 1998; ...for forecasting purposes in climate ...
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Understanding and seasonal forecasting of hydrological drought in the Anthropocene
... cal drought processes have been studied in the past, to our knowledge, this study is among the first to investigate sea- sonal hydrological drought forecasting in the ...“real” forecasting ...
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Seasonal drought predictability and forecast skill in the semi arid endorheic Heihe River basin in northwestern China
... serious drought problems. In this study, a drought forecasting system based on eight state-of-the-art climate models from the North American Multi-Model En- semble (NMME) and a Distributed ...
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Seasonal drought prediction for semiarid northeastern Brazil: verification of six hydro meteorological forecast products
... Past famines and mass migrations triggered large invest- ments in infrastructure in recent decades. These investments brought hundreds of strategic reservoirs and thousands of small dams to a semi-arid landscape, which ...
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Drought assessment and forecasting using a nonlinear aggregated drought index
... non- drought class from any drought severity state, and residence times in each drought ...for drought management using the PDSI and the Markov chain, in two climatic areas of Virginia ...
178
Project cost performance forecasting system
... These forecasting techniques, based on linear trend analysis, are very popular in the industry and are being used by many construction ...the forecasting techniques employed in current project management ...
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The Implementation of Forecasting Method by Incorporating Human Judgment
... Business Forecasting (demand forecasting) is an extrapolation process to predict the events that will be happening in the ...Commonly, forecasting methods are divided by two approximations of ...
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Hydrological drought analysis using SDI index in Halilrud basin of Iran
... of drought occurrence is higher than other parts of basin and upstream parts are usually exposed to mild drought ...severe drought which may occur in ...severe drought events must be put in ...
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Assessment of drought characteristics for Dhasan basin in Bundelkhand region
... For carrying out the drought study, the daily rainfall data (From 1981-2009) at three rain gauge stations viz., Sagar, Banda and Khurai whereas the groundwater levels (From 1985-2010) at 39 observation wells ...
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Principal Longevity, Leadership Behaviors, and Student Academic Achievement
... reduce drought impacts it is important to avoid most commonly used reactive (crisis management) and promote proactive (risk management) approach (Wilhite ...national drought policies (NDP) with an ultimate ...
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Monitoring droughts in Eswatini: A spatiotemporal variability analysis using the Standard Precipitation Index
... many drought indices were developed and used by meteorologists and climatologists around the ...meteorological drought index that countries should use to monitor and follow drought conditions (Hayes ...
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The antioxidative response of two tomato species with different drought tolerances as a result of drought and cadmium stress combinations
... of drought, cadmium (Cd) and drought-Cd combinations on antioxidant compounds, antioxidant enz- ymes and shoot growth were investigated for drought tolerant [Lycopersicon peruvianum ...species. ...
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