the necessity of using discharge data in hydrological designs and regional programming is an unavoidable matter. unfortunately, malfunctioning of observation instruments, natural disasters and other problems sometimes result in incomplete or missing data. having of data related to time series is necessary for every investigation about hydrometeorology. thus missing data should be estimated in a...

rainfall spatial analysis methods are very helpful since there are not enough rainfall gauge stations and watersheds are scattered in large extent. there are many different methods for estimating average precipitation such as; arithmetic method and thiessen polygon. however, the arrangement and location of data and their correlations are not considered by classic methods. thus, geostatistical t...

Financial support from ESRC grant number L116251013, Macroeconomic Modelling and Policy Analysis in a Changing Word is gratefully acknowledged. The usual disclaimer applies. Seasonal roots can help to explain the seasonal fluctuations in macroeconomic time series. In this paper we concentrate on monthly data and look at different versions of Robinson's (1994) tests for testing unit roots and ot...

[1] Geostatistical inverse modeling has been shown to be a viable alternative to synthesis Bayesian methods for estimating global continental-scale CO2 fluxes. This study extends the geostatistical approach to take advantage of spatially and temporally varying auxiliary data sets related to CO2 flux processes, which allow the inversion to capture more grid-scale flux variability and better cons...