Log in

Relevant bibliographies by topics / Forecast/interpolation

Contents

Journal articles
Dissertations / Theses
Conference papers
Reports

Academic literature on the topic 'Forecast/interpolation'

Author: Grafiati

Published: 4 September 2021

Last updated: 8 February 2022

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Forecast/interpolation.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Forecast/interpolation"

1

Yang, Zong-Chang. "Complex matrix interpolation model of the S-transform for electric load movement forecast." International Journal of Modeling, Simulation, and Scientific Computing 05, no. 03 (2014): 1450011. http://dx.doi.org/10.1142/s1793962314500111.

Full text

Abstract:

Electric load movement forecast is increasingly importance for the industry. This study addresses the load movement forecast modeling based on complex matrix interpolation of the S-transform (ST). In complex matrix of time-frequency representation of the ST, each row follows conjugate symmetric property and each column appears a certain degree of similarity. Based on these characteristics, a complex matrix interpolation method for the time-frequency representation of the ST is proposed to interpolate each row of the complex matrix based on the conjugate symmetric property, and then to perform

APA, Harvard, Vancouver, ISO, and other styles

2

Jamaly, Mohammad, and Jan Kleissl. "Spatiotemporal interpolation and forecast of irradiance data using Kriging." Solar Energy 158 (December 2017): 407–23. http://dx.doi.org/10.1016/j.solener.2017.09.057.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Hwang, Yeon-Sang, Jun-Haeng Heo, and Young-Hun Jung. "Ensemble Daily Streamflow Forecast Using Two-step Daily Precipitation Interpolation." Journal of Korea Water Resources Association 44, no. 3 (2011): 209–20. http://dx.doi.org/10.3741/jkwra.2011.44.3.209.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Wahir, N. A., M. E. Nor, M. S. Rusiman, and K. Gopal. "Treatment of Outliers via Interpolation Method with Neural Network Forecast Performances." Journal of Physics: Conference Series 995 (April 2018): 012025. http://dx.doi.org/10.1088/1742-6596/995/1/012025.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Elena Nor, Maria, Norsoraya Azurin Wahir, G. P. Khuneswari, and Mohd Saifullah Rusiman. "Treatment of Outlier Using Interpolation Method in Malaysia Tourist Arrivals." International Journal of Engineering & Technology 7, no. 3.7 (2018): 51. http://dx.doi.org/10.14419/ijet.v7i3.7.16207.

Full text

Abstract:

The presence of outliers is an example of aberrant data that can have huge negative influence on statistical method under the assumption of normality and it affects the estimation. This paper introduces an alternative method as outlier treatment in time series which is interpolation. It compares two interpolation methods using performance indicator. Assuming outlier as a missing value in the data allows the application of the interpolation method to interpolate the missing value, thus comparing the result using the forecast accuracy. The monthly time series data from January 1998 until Decembe

APA, Harvard, Vancouver, ISO, and other styles

6

Ran-hang, Zhao, Zhou Lu, Li Hua-xing, et al. "Rainfall interpolation based on flood simulation in northren China." E3S Web of Conferences 248 (2021): 03043. http://dx.doi.org/10.1051/e3sconf/202124803043.

Full text

Abstract:

Due to the short duration, high intensity and sudden intensity of torrential rain, mountain torrents are easily formed in the northern hilly area.The distributed hydrological model is used as the main means of rain-flood forecasting. Rainfall as an important input,its spatial interpolation accuracy and time scale directly affect the forecast results.Therefore, in this paper, the spatial interpolation calculation and analysis of rainstorm process with hourly scale is carried out in the northern hilly area. Taking Licheng district in Jinan as the research area, the spatial interpolation methods,

APA, Harvard, Vancouver, ISO, and other styles

7

Pappenberger, F., A. Ghelli, R. Buizza, and K. Bódis. "The Skill of Probabilistic Precipitation Forecasts under Observational Uncertainties within the Generalized Likelihood Uncertainty Estimation Framework for Hydrological Applications." Journal of Hydrometeorology 10, no. 3 (2009): 807–19. http://dx.doi.org/10.1175/2008jhm956.1.

Full text

Abstract:

Abstract A methodology for evaluating ensemble forecasts, taking into account observational uncertainties for catchment-based precipitation averages, is introduced. Probability distributions for mean catchment precipitation are derived with the Generalized Likelihood Uncertainty Estimation (GLUE) method. The observation uncertainty includes errors in the measurements, uncertainty as a result of the inhomogeneities in the rain gauge network, and representativeness errors introduced by the interpolation methods. The closeness of the forecast probability distribution to the observed fields is mea

APA, Harvard, Vancouver, ISO, and other styles

8

Herman, Gregory R., Erik R. Nielsen, and Russ S. Schumacher. "Probabilistic Verification of Storm Prediction Center Convective Outlooks." Weather and Forecasting 33, no. 1 (2018): 161–84. http://dx.doi.org/10.1175/waf-d-17-0104.1.

Full text

Abstract:

Abstract Eight years’ worth of day 1 and 4.5 years’ worth of day 2–3 probabilistic convective outlooks from the Storm Prediction Center (SPC) are converted to probability grids spanning the continental United States (CONUS). These results are then evaluated using standard probabilistic forecast metrics including the Brier skill score and reliability diagrams. Forecasts are gridded in two different ways: one with a high-resolution grid and interpolation between probability contours and another on an 80-km-spaced grid without interpolation. Overall, the highest skill is found for severe wind for

APA, Harvard, Vancouver, ISO, and other styles

9

Katsalova, Lesya, and Vitalii Shpyg. "The choice of optimal lag for Kriging interpolation of NWP model forecast." Meteorology Hydrology and Water Management 4, no. 2 (2016): 23–28. http://dx.doi.org/10.26491/mhwm/64292.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Popov, Lavrinenko, Krasnenko, Popova, Popova, and Shelupanov. "Comparative Evaluation of Algorithms for Spatial Interpolation of Atmospheric State Parameters Based on a Dynamic Stochastic Model Taking into Account the Vertical Variation of a Meteorological Field." Symmetry 11, no. 10 (2019): 1207. http://dx.doi.org/10.3390/sym11101207.

Full text

Abstract:

The paper presents a comparative analysis of two algorithms for the spatial interpolation of meteorological fields. Both algorithms are based on a four-dimensional low-order parametric dynamic stochastic model, taking into account the vertical variation of a meteorological field. The algorithms are characterized by different representations of the forecast model in state and observation space equations for the Kalman filter. The authors studied the accuracy of the spatial interpolation of temperature and wind fields for the developed algorithms. The results of the study are presented in this p

APA, Harvard, Vancouver, ISO, and other styles

Dissertations / Theses on the topic "Forecast/interpolation"

1

Seco, Pedro Nuno Silva. "Valores em falta em processo auto-regressivos." Master's thesis, 2018. http://hdl.handle.net/10316/86551.

Full text

Abstract:

Dissertação de Mestrado em Matemática apresentada à Faculdade de Ciências e Tecnologia<br>Abordamos o problema de estimação de um valor em falta num processo autor-regressivo de ordem um, a partir do estudo apresentado em Saadatmand, Nematollahi and Sadooghi-Alvandi (2017). Considerando que o processo de erro é exponencialmente distribuído, são deduzidos os estimadores de máxima verosimilhança dos parâmetros do modelo e estudadas as suas propriedades quando todas as observações são conhecidas e quando há um valor em falta. Em seguida, são estudados dois estimadores para o valor em falta e co

APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Forecast/interpolation"

1

Goldina, Nadezhda V., and Alexander V. Starchenko. "Interpolation of numerical weather forecast data for initialization and support of a mesoscale meteorological model." In 26th International Symposium on Atmospheric and Ocean Optics, Atmospheric Physics, edited by Gennadii G. Matvienko and Oleg A. Romanovskii. SPIE, 2020. http://dx.doi.org/10.1117/12.2575553.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Ryckelynck, David. "Multidimensional Hyper-Reduction of Large Mechanical Models Involving Internal Variables." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82971.

Full text

Abstract:

We propose to incorporate a Response Surface (RS) approximation of variables over a parametric domain into a weak form of parametric Partial Differential Equations (PDEs). Hence a multidimensional model-reduction can be achieved. We propose a multidimensional a priori model reduction method to generate or to enrich RSs. It is coined multidimensional because the fields to forecast are defined over an augmented domain in term of dimension. They are functions of both space variables and parameters that simultaneously evolve in time. This changes the functional space related to the weak form of th

APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Forecast/interpolation"

1

Venäläinen, Ari, Sanna Luhtala, Mikko Laapas, et al. Sää- ja ilmastotiedot sekä uudet palvelut auttavat metsäbiotaloutta sopeutumaan ilmastonmuutokseen. Finnish Meteorological Institute, 2021. http://dx.doi.org/10.35614/isbn.9789523361317.

Full text

Abstract:

Climate change will increase weather induced risks to forests, and thus effective adaptation measures are needed. In Säätyö project funded by the Ministry of Agriculture and Forestry, we have summarized the data that facilitate adaptation measures, developed weather and climate services that benefit forestry, and mapped what kind of new weather and climate services are needed in forestry. In addition, we have recorded key further development needs to promote adaptation. The Säätyö project developed a service product describing the harvesting conditions of trees based on the soil moisture asses

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!