[PDF] Top 20 Multi-model ensemble: technique and validation
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Multi-model ensemble: technique and validation
... In this paper a method was proposed (the SMEC) for im- proving the quality of numerical weather forecasts, using an expanded set of forecasts from various numerical models. This method was applied to nine models run ... See full document
11
Multi-model ensemble approach for statistically downscaling general circulation model outputs to precipitation
... downscaling model which was built with reanalysis data will perform in downscaling GCM outputs to precipitation at the catchment ...downscaling model to project precipitation into future, at the station of ... See full document
72
Similarities within a multi-model ensemble: functional data analysis framework
... of model performance evaluation through perform- ing the analysis for the reference period, including the ob- served time ...of model weights and calculation of weighted multi-model ...the ... See full document
13
WSN BASED SENSING MODEL FOR SMART CROWD MOVEMENT WITH IDENTIFICATION: AN EXTENDED STUDY
... external validation of clustering result into normalized Bupa shows that FADDIS and is- FADDIS give the best separation (table ...Glass, validation of clustering result using HC give the best values (table ... See full document
15
Predicting lymphatic filariasis transmission and elimination dynamics using a multi model ensemble framework
... tial multi-model ensemble framework for combining simulations of the three currently existing single models of LF transmission in order to produce better predictions of both parasite transmission ... See full document
14
MICE:Multi layer multi model images classifier ensemble
... transformation technique used, namely the elastic distortion (as described in section III) which is not only opaque (not clearly reported in [4] but also is random in ... See full document
8
Consistency of the multi-model CMIP5/PMIP3-past1000 ensemble
... Analyses under the paradigm of statistical indistinguisha- bility require special care if we use them in the context of palaeoclimatology. Any simulated or reconstructed time series over the last 1000 yr includes ... See full document
17
A Hybrid Ensemble Model for Corporate Bankruptcy Prediction Based on Feature Engineering Method
... models. Ensemble learning, with its strong predictive power and robustness, plays an important role in machine learning and binary classification ...classification model combining feature engineering method ... See full document
7
Seasonal drought prediction for semiarid northeastern Brazil: verification of six hydro meteorological forecast products
... beforehand. This feature does not apply to WP classification. Timescales greater than 6 months are of no value for the verification of the forecasting system in terms of meteorol- ogy, as rainfall in the preceding dry ... See full document
16
Varying soil moisture–atmosphere feedbacks explain divergent temperature extremes and precipitation projections in central Europe
... current model projections, temperature extremes in central Europe are prone to large ...(Coupled Model Intercomparison Project Phase 5) ensemble for the business-as-usual high-emission scenario ... See full document
19
Identification of hydrological model parameter variation using ensemble Kalman filter
... an ensemble Kalman filter (EnKF) to identify the temporal variation of model parameters of the two-parameter monthly water balance model (TWBM) by assimilating runoff ...of model parameters ... See full document
13
A New Feature Extraction Algorithm to Extract Differentiate Information and Improve KNN-based Model Accuracy on Aquaculture Dataset
... to model the data, the result is still not satisfying where the model only achieve accuracy of ...can model the data easier and achieve higher ... See full document
9
Rainfall Forecast with Best and Full Members of the North American Multi-Model Ensemble
... 114 scale. The second defines the most appropriate forecast parameters. Forecasting is performed every mid-month. Kirtman et al. (2014) explained that the multi-model approach using the NMME is more ... See full document
7
Credit scoring with boosted decision trees
... an ensemble of individual ...an ensemble of neural networks is superior to that of a single neural network in credit scoring and bankruptcy prediction ...scoring model of consumer loans based on ... See full document
14
Effects of land cover change on temperature and rainfall extremes in multi-model ensemble simulations
... perature is also shown. In terms of the mean response, in MAM and JJA, LULCC tends to cool the Northern Hemi- sphere mid-latitudes but the response is varied, ranging from a strong response in ARPEGE and ECEarth to a ... See full document
19
Multi model ensemble simulations of tropospheric NO2 compared with GOME retrievals for the year 2000
... located with the GOME measurements. This was done by sampling the local time model output at the locations of the scenes included in the BIRA/KNMI retrieval. In this re- trieval only forward-scan scenes with a ... See full document
37
Testing a multi malaria model ensemble against 30 years of data in the Kenyan highlands
... the multi-malaria-model ensemble proposed for this set of simulations only four mathematical tools were considered: the models proposed by Ross-Macdonald [32,33], Anderson and May [34], Worrall et ... See full document
14
Understanding the Australian Monsoon change during the Last Glacial Maximum with a multi-model ensemble
... climate model diagnosis and intercomparison provided coordinating support and led the development of software infrastructure in partnership with the Global Organization for Earth System Science ... See full document
16
Classification and Novel Class Detection in Data Streams Using Strings
... clustering technique on each chunk to obtain the different classes in the ...clustering technique because it is performs well when the data contains ...each model Mi in the ensemble to check ... See full document
8
A model–data comparison for a multi-model ensemble of early Eocene atmosphere–ocean simulations: EoMIP
... climate model simulations, we make use of both terrestrial and marine temperature ...the ensemble or individ- ual model runs can be compared; instead, we include data spanning the entire early ... See full document
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