Groundwater level time series are crucial for various groundwater-related studies and can be used to link patterns in groundwater levels to environmental factors. However, historical datasets often contain gaps and errors, leading to false results or large uncertainty if not properly treated. In this study, we present a comprehensive work on error treatment and gap imputation in the long-term...
The lack of adequate and reliable gauge observations has long been a major obstacle for hydrological modeling. This study focuses on a comprehensive evaluation of hydrological applicability of satellite and reanalysis-based precipitation products (IMERG, ERA5, PERSIANN-CDR, SM2RASC, and CMORPH-CRT) in Porijõgi catchment, Estonia. The evaluations were carried out in two parts: 1) evaluating the...
Analyzing the dynamics of hydraulic heads is of great importance for both environmental protection purposes as well as for characterizing the consequences of anthropogenic activities (Glazer and Likens 2012). Long-term time series of hydraulic heads are commonly used for such purposes. These historic monitoring data usually however contains various errors and missing entries (e.g., Retiķe et...
Climate change is becoming more and more visible, and the consequences are getting worse. Therefore, it is critical to quickly identify the threat and respond to it. Climate change is causing hydrological droughts, which have become very noticeable in recent years. In fact, in 2022, the runoff of many rivers in Europe reached minimum values. Most commonly used indices to identify hydrological...
Climatic data on municipality level is essential for a range of applications, from agriculture and forestry to urban planning and disaster management. In Latvia, more than 25 LEGMC (Latvian Environment, Geology and Meteorology Centre) observation stations provide climatic data, but these are widely spaced and unevenly distributed. Interpolating climatic data is therefore necessary to provide a...
