Nigeria annual flood outlook 2024
The 2024 Flood Outlook report offers a comprehensive assessment of flood risk across the country, highlighting critical areas of concern and strategic recommendations for mitigation and preparedness. Through
The 2024 Flood Outlook report offers a comprehensive assessment of flood risk across the country, highlighting critical areas of concern and strategic recommendations for mitigation and preparedness. Through
A report by Potsdam Institute for Climate Impact Research (PIK), Germany, has alerted that rainfall changes caused by global warming will increase river flood risks across the globe including Africa.
<p>Based on high-resolution models, we investigate the change in climate extremes and impact-relevant indicators over Europe under different levels of global warming. We specifically assess the robustness
<p>In this paper, satellite-based precipitation, clouds with infrared (IR) brightness temperature (BT), and tropical cyclone (TC) data from 2000 to 2015 are used to explore the relationship between precipitation,
<a href="http://www.indiaenvironmentportal.org.in/files/file/landslide_initiation.pdf " target="_blank"><img alt="" src="http://www.indiaenvironmentportal.org.in/media/iep/homepage/download.jpg" style="width:
<p>Aridity—the ratio of atmospheric water supply (precipitation; P) to demand (potential evapotranspiration; PET)—is projected to decrease (that is, areas will become drier) as a consequence
Future changes in rainfall have serious impacts on human adaptation to climate change, but quantification of these changes is subject to large uncertainties in climate model projections. To narrow these
<p>Although not considered in climate models, perceived risk stemming from extreme climate events may induce behavioural changes that alter greenhouse gas emissions. Here, we link the C-ROADS climate model
<p>Weather plays an important role in agricultural production. It plays a major role before and during the cropping season and if the same is provided well in advance, it results in inspiring the farmers
<p>Summer monsoon season 2011 was highlighted with unprecedented rainfall in some districts of Punjab in the second week of August 2011 causing significant damage to public and private properties. An attempt
<p>Time series analysis and statistical significance of trends in rainfall data was carried out using standard Mann-Kendall test statistics. The non-parametric Mann-Kendall (M-K) statistical rank test,