E.G. Beek, 1991. Spatial interpolation of daily meteorological data; theoretical evaluation of available techniques. Wageningen (The Netherlands), DLO The Winand Staring Centre. Report 53.1.44 pp.; 13 Figs; 1 Table; 20 Refs. In agromcteorological crop yield models meteorological values at not observed points have to be obtained by means of interpolation techniques. In this study, interpolation ...

This paper examines and evaluates the integrated use of satellite remote sensing and meteorological data for estimating crop water requirements over agricultural areas of Cyprus. Intended purpose of this project is to estimate evapotranspiration using modeling techniques, satellite and meteorological data for monitoring irrigation demand. ETc was calculated with the FAO Penman-Monteith method b...

greece has experienced particularly severe and frequent forest fires during summer 2007 together with exceptionally dry meteorological conditions culminated in distinct heat waves. the present study analyzes the time pattern of daily values of two fire risk indices (nesterov and angstrom) based on meteorological data made available for a number of gauging stations between 1 june and 31 august o...

(G) and observed discharge (Q), whereas the other data-driven model, ANN-Ensemble (ANN-E), and the two conceptual models, HBV and GR4J, use forecasted meteorological inputs (P and PET), whereby we employ ensemble seasonal meteorological forecasts. We compared low flow forecasts without any meteorological forecasts as input (ANN-I) and five different cases of seasonal meteorological forcing: (1)...

Weather radar data quality control is extremely important for meteorological and hydrological applications. For weather radars, scatterers in the atmosphere are not only meteorological particles like cloud, rain drops, snowflakes, and hails, but also non-meteorological particles such as chaff, insects, and birds. For radar meteorologists it is a major issue and challenge to design numerical sch...

This paper describes a development of multilevel meteorological data acquisition system implemented at Kalpakkam coastal site for atmospheric dispersion and model validation studies. Meteorological data are one of the most important inputs into any air dispersion model. As a part of atmospheric dispersion modeling studies and developing a methodology to forecast the site-specific dispersion cha...

Data assimilation of dust aerosol observations for CUACE/Dust forecasting system T. Niu, S. L. Gong, G. F. Zhu, H. L. Liu, X. Q. Hu, C. H. Zhou, and Y. Q. Wang Center for Atmosphere Watch & Services (CAWAS), Chinese Academy of Meteorological Sciences, China Meteorological Administration (CMA), Beijing 100081, China Air Quality Research Division, Science & Technology Branch, Environment Canada, ...