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The aim of this paper is to identify the trends of changes in atmospheric precipitation percolation under the changing climate conditions of Lithuania (the East Baltic region) based on long-term lysimeter studies. Data from 1987–2022 research (n = 1296) was used to determine trends in precipitation infiltration changes. Two 10-year periods, 1989–1998 and 2011–2020, were selected from the whole observation period (1987–2022) to assess changes in precipitation infiltration due to climate change. The air temperature has increased significantly in November (+3.4 °C) and December (+3.3 °C), with a +2.2 °C increase in the standard climate normal. The distribution of yearly precipitation has changed, with the annual amount decreasing from 686 to 652 mm. Precipitation increased the most in July and August (10.9 and 22.9 mm). In autumn, the amount of precipitation decreased by 7.9–31.1 mm. The number of rainy days did not change during the year, but the frequency of heavy precipitation increased significantly in August. The annual percolation increased by 14.2% over 2011–2020 compared to 1989–1998. Percolation increased by 19.0, 22.3, and 20.1% during the spring, autumn, and winter, respectively, and decreased by 35.0% in summer. The increase in annual percolation is mostly related to the increase in temperature during the cold season: November and December. During these months, the likelihood of early freeze formation, which interrupts gravitational water percolation in soil, is significantly reduced. In the spring, the increase in average air temperatures in March leads to faster melting of the winter snow in a shorter period, which significantly increases percolation processes. In Lithuania, higher percolation in autumn and winter, when part of the agricultural land is not covered by vegetation, may lead to higher leaching of chemical elements. [ABSTRACT FROM AUTHOR]

• This paper presents a unique dataset that brings together data from meteorological sources on weather anomalies and night light emissions in 0.5 by 0.5-degree grid cells for the entire globe for the period 1992-2013. • This dataset allows researchers to investigate the economic impact of weather anomalies at an unprecedented geographical resolution. • We find that storms, excessive precipitation and cold spells indeed reduce the growth of economic activity visibly in the emission of night light at the local level. • We also show these negative effects do not tend to last long and generally cause positive spillovers in neighboring areas. How do weather anomalies affect the economy at the local level? This paper presents a new data set that links weather data to annual average night-light emission data for 24.000 0.5° × 0.5° grid-cells around the globe for the period 1992–2013. Interpreting night-light emission as a proxy for economic activity, these data allow one to investigate how weather anomalies affect economic activity. Global coverage avoids selection bias, while high spatial resolution avoids averaging out heterogeneity in local impacts at higher aggregation levels. Our data show significant effects on the local growth of night-light for storms, excessive precipitation, droughts, and cold spells. Moreover, we find evidence for significant spatial spillovers to neighboring areas. Our results suggest that these offsetting spillovers are typically local. As positive and negative effects average out in larger areas, our results call for the analysis of economic effects of weather anomalies at a high geographical resolution. Finally, our results are driven by events in lower income regions. As climate change is expected to make weather patterns more erratic, our new data can inform emerging debates on how this will affect the economy in both science and politics. [ABSTRACT FROM AUTHOR]

• Temperature and precipitation anomalies are key drivers of within-country inequality. • Agriculture is a fundamental channel in the climate change-inequality nexus. • Warmer temperatures have a stronger impact on income disparities in rural countries. • Urban areas are more exposed to income disparities induced by extreme precipitations. • Inward FDI diversification enhances resilience, moderating climate-induced inequality. This paper investigates the impact of climate change on within-country income inequality for more than 150 nations over the period 2003–2017. Specifically, we control for a large number of determinants of income disparities detected by extant literature and focus on agriculture as one of the most crucial channels in the climate change-inequality nexus. We find that temperature increases and precipitation anomalies have significant adverse effects on within-country inequality, especially in the presence of larger shares of population in rural areas and of workers in agriculture. We also provide evidence on the lower distributional impact of climate change in economies that are more diversified across value chain activities. [ABSTRACT FROM AUTHOR]