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The Great Plains region has experienced increasing average temperatures and shifting precipitation patterns, with winter temperatures in northern states rising by more than 6°F over the last 30 years. Climate change is projected to exacerbate the depletion of the High Plains (Ogallala) aquifer, particularly in the southern region where unsustainable water use and extreme heat are already prevalent. Agriculture and livestock are highly vulnerable; rising temperatures are expected to shift crop zones, increase pest prevalence, and reduce livestock yields, with a projected 10% decline in cow/calf and dairy operations under higher emissions scenarios. Ecosystems, specifically prairie potholes and playa lakes, face threats from altered evaporation and recharge rates, which impacts migratory birds and aquifer replenishment. The document also highlights the vulnerability of 65 Native American tribes on rural lands facing water quantity and quality issues.

The document introduces a data set providing 14 city-relevant climate hazard indicators for 996 large cities, based on NEX-GDDP-CMIP6 downscaled climate simulations. It compares a 1994-2014 historical baseline against three warming scenarios (1.5°C, 2.0°C, and 3.0°C) to assist city decision-makers in strategic planning and risk management. Key findings indicate that at 3.0°C of warming, cities will experience heatwaves that are 28% longer and 25% more frequent on average than at 1.5°C, alongside increased energy demand for cooling and higher transmission risks for arboviruses.

The study finds that while overall spring minimum temperatures are increasing, human-caused warming has advanced the start of the growing season (bud burst), exposing plants to more intense frosts. The April 2021 event in central France is attributed in part to this shift, with models projecting an increase in the frequency of such growing-period frosts in a 2°C warmer climate.

The report investigates the 2022 Pakistan floods, focusing on two event definitions: 60-day maximum rainfall in the Indus basin and 5-day maximum rainfall in Sindh and Balochistan. While observational trends suggest that a 1.2°C warmer climate increased 5-day rainfall intensity by about 75% and 60-day rainfall by 50%, the authors refrain from a precise quantitative attribution due to high rainfall variability and climate model limitations. However, models project that a further 0.8°C of warming (reaching 2°C above pre-industrial levels) will significantly increase the intensity and probability of short-duration extreme rainfall. The study also highlights that the disaster's scale was exacerbated by outdated river management, high poverty, and gender-based vulnerabilities.