Providing climatological normals is one of the most important tasks for national meteorological services. Estimating the statistical characteristics of climate variables from incomplete and inhomogeneous data can result in biased estimations; thus, it is necessary to fill in missing values and remove inhomogeneities. Though it is very important, the homogenization procedure is still not a part of data quality-check procedures. In this work, monthly temperature data from 39 meteorological stations in Croatia for the period 1981–2010 were examined for missing data and inhomogeneities. Stations were divided into three climatic regions, and homogenization was performed for each one separately. The performance of the homogenization method was te...
Homogenization of daily temperature series is a fundamental step for climatological analyses. In the...
The awareness of the importance of data quality and homogeneity issues in the correct detection of c...
The prerequisite of the homogenization of climatological time series is to find the points of time w...
Homogenised climatological series and gridded data are the basis for climate monitoring and climate ...
All studies concerning climate variability reveal the necessity of the homogeneity testing of data a...
Standard Normal Homogeneity Test (SNHT) was applied for the detection of inhomogeneities in the time...
The aim of time series homogenization is to remove nonclimatic effects, such as changes in station l...
Errors are inherent in all measurement activity, and meteorology is no exception. Homogenization of ...
The changes of European climate have serious effects on society and economy. A thorough climatologic...
The COST (European Cooperation in Science and Technology) Action ES0601: advances in homogenization ...
The awareness of the importance of data quality and homogeneity issues in the correct detection of c...
Ponencia presentada en: VIII Congreso de la Asociación Española de Climatología celebrado en Salaman...
Homogenization of daily temperature series is a fundamental step for climatological analyses. In the...
The awareness of the importance of data quality and homogeneity issues in the correct detection of c...
The prerequisite of the homogenization of climatological time series is to find the points of time w...
Homogenised climatological series and gridded data are the basis for climate monitoring and climate ...
All studies concerning climate variability reveal the necessity of the homogeneity testing of data a...
Standard Normal Homogeneity Test (SNHT) was applied for the detection of inhomogeneities in the time...
The aim of time series homogenization is to remove nonclimatic effects, such as changes in station l...
Errors are inherent in all measurement activity, and meteorology is no exception. Homogenization of ...
The changes of European climate have serious effects on society and economy. A thorough climatologic...
The COST (European Cooperation in Science and Technology) Action ES0601: advances in homogenization ...
The awareness of the importance of data quality and homogeneity issues in the correct detection of c...
Ponencia presentada en: VIII Congreso de la Asociación Española de Climatología celebrado en Salaman...
Homogenization of daily temperature series is a fundamental step for climatological analyses. In the...
The awareness of the importance of data quality and homogeneity issues in the correct detection of c...
The prerequisite of the homogenization of climatological time series is to find the points of time w...