The choice of optimal lag for Kriging interpolation of NWP model forecast

Katsalova, L. N.; Shpyg, V.M.

doi:10.26491/mhwm/64292

Cited by 4 publications

(2 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this case, apart from gaps in measurement series, we face a much more serious problem related with insufficient density of the measurement grid. Thus in order to obtain the field of values based on single measurement points it is necessary to apply interpolation [1][2][3]. For some types of data techniques using satellite positioning (GNSS) may be used [4].…”

Section: Introductionmentioning

confidence: 99%

A gap filling method for active surface heat balance structure

Leśny

Panfil

2018

ITM Web Conf.

View full text Add to dashboard Cite

The paper describes gap filling procedures for active surface heat balance structure data recorded for fields of rape, maize, spring and winter wheat and an apple orchard. The balance components were determined based on the Bowen ratio requiring direct measurements of net radiation, soil heat flux, temperature and water vapour pressure profiles. The latter is used to determine vertical gradients and the Bowen ratio, with sensible and latent heat fluxes calculated from the heat balance equation. Missing data are filled in from regression dependencies between individual balance components at various measurement sites. The regression data set comprised results recorded over 24 h, before the gap in measurements and after 24 h. Multiple regressions were determined from a 48-h measurement set. Regression was applied to establish missing values of net radiation (Rn), soil heat flux (G) and latent heat (LE), while sensible heat was calculated from the active surface heat balance equation. Relatively the greatest differences were found for latent heat and soil fluxes, with both estimated values deviating by 13% from the measured daily average, for net radiation the relative difference was 10% and for sensible heat -6%. This method successfully filled gaps in measured heat balance data from April to September.

show abstract

Section: Introductionmentioning

confidence: 99%

A gap filling method for active surface heat balance structure

Leśny

Panfil

2018

ITM Web Conf.

View full text Add to dashboard Cite

show abstract

“…The Ukrainian Hydrometeorological Institute of the State Emergency Service of Ukraine and the National Academy of Sciences of Ukraine have been working on the adaptation of the world's best samples of atmospheric models for various purposes and improvement for a long time [16,[35][36][37]. Thus, on the basis of the numerical mesoscale weather forecast model WRF (USA) [39], a forecasting system was created for the territory of Ukraine.…”

mentioning

confidence: 99%

Influence of Land Use Categories on WRF Forecast and Its Accuracy

Shpyg¹,

SHCHEHLOV²

2022

HHH

View full text Add to dashboard Cite

In this research analysis of possibilities and methods of correction or reclassification of land use and land cover data, obtained modeling effects of using more accurate land use and land cover data and estimations of improvements of surface meteorological parameters simulations by mesoscale numerical atmospheric prediction (NWP) model. For the Kyiv region area, it is shown that the default WRF land use and land cover datasets are not ideal and contain various types of inaccuracies. Thus, compared to USGS, MODIS IGBP is characterized by a better spatial resolution, more correctly describing the urban built-up territories, forest areas and the Dnipro riverbed, but MODIS IGBP does not display small settlements. Analysis of other researches had shown that most of the reviewed studies are based on the case study approach, namely on an analysis of a small number of specific simulations. The disadvantage of this approach is that the sample size from which conclusions can be drawn is insignificant, so it is useful to compare similar studies for the consistency of the obtained results. The most consistent conclusions regarding the simulation improvement by the land use and land cover modification in the WRF model are related to the parameters of air temperature and humidity. Thus, the usage of more accurate and up-to-date land use and land cover databases in WRF simulations made it possible to reduce bias of forecasts and improved the accuracy of minimum and maximum daily temperature forecasts. The most significant improvement in the performed forecasts concerns the night temperature. The second parameter that were most often able to predict better is relative humidity. Improvement of simulated wind parameters using another land use and land cover dataset in the WRF model may be possible in urban areas and near the coast, especially as improving description of breeze circulation by the model. Assessments regarding the possibility of improving WRF precipitation simulation by land use and land cover dataset modification are not definite, although some works have noted the influence of the heat island of urbanized areas on redistribution of precipitation. On the one hand, in most of the analyzed scientific works, land use and land cover changes did not allow to significantly improve precipitation forecasts using the WRF model. On the other hand, it can be assumed that the physical and geographical conditions of a simulation domain as well as available moisture in the atmosphere is playing a more significant role in precipitation modeling than land use and land cover.

show abstract