Select Select Weekly Climate and Energy News Roundup #689 – Image for illustrative purposes only (Image credits: Unsplash)
Daily precipitation measurements from hundreds of U.S. locations, some stretching back to the 1870s, reveal no consistent nationwide trends in totals or extremes despite rising global temperatures. Researchers emphasized these findings in a recent compilation of climate and energy developments, underscoring the complexity of linking local weather patterns to broader warming.[1][2] Such data challenges simplified narratives often presented in national assessments, prompting calls for more granular approaches to planning and policy.
Shifting Patterns in Temperature Extremes
John Christy, a climatologist, examined daily high and low temperatures across the contiguous United States from 1899 to 2025. His work documented declines in both hot and cold extremes over this period, with daily lows rising modestly while highs remained largely stable.[1] These shifts have reduced overall weather-related lethality, as cold events historically pose greater risks than heat.
The analysis arrives amid scrutiny of “attribution science,” which seeks to quantify human influence on specific weather events. Critics argue that such efforts rely on unvalidated models and flawed statistics, potentially overlooking physical evidence like Christy’s records. Geological and historical data further illustrate natural climate swings predating heavy fossil fuel use, raising questions about the political framing of these studies.
Precipitation Trends Defy Uniform Expectations
A preprint by Christy and economist Ross McKitrick analyzed the longest continuous daily precipitation dataset for 377 U.S. sites, covering periods from 1872 to 1893 onward. Annual totals showed positive trends mainly in the eastern regions like the Midwest, Northeast, and Gulf South, but these did not persist after 1980. Maximum events increased post-1980 in the Southeast and Atlantic South, while summertime precipitation declined in the Intermountain West since 1958.[2]
Modeling with Generalized Extreme Value distributions confirmed some long-term regional shifts attributable to factors like temperature or the El Niño-Southern Oscillation, but no trends held firm after 1958 or across the continental U.S. as a whole. The researchers highlighted flaws in modern digital archives, such as missing extreme events – like an 11.60-inch downpour in Kerrville, Texas, in 1900 – that could bias recent records. They concluded that precipitation behaves heterogeneously, rejecting claims of linear scaling with global warming as seen in reports like the Fifth National Climate Assessment. Local, long-term records remain essential for sectors like agriculture and flood management, where continental generalizations fall short.
ENSO patterns proved more predictive for eastern maxima than warming trends, and western regions showed little influence from either. This regional diversity complicates projections and underscores the need for site-specific data in policy discussions.
Climate Models Face Renewed Scrutiny
Anthony Watts, in an essay on the state of climate science, noted improvements in observational networks but persistent uncertainties from data adjustments. Models exhibit wide ranges in climate sensitivity and have delivered mixed results against historical benchmarks, particularly in the tropical troposphere.[1] Distinctions between hindcasting past events and forecasting futures often blur, fueling debates over natural variability and feedbacks.
Separately, Roger Pielke Jr. reported that the IPCC’s high-emissions RCP8.5 scenario – once labeled a plausible “business-as-usual” path – has been deemed implausible for upcoming assessments. While hailed by some as a major shift, others view it as a minor tweak, with larger questions lingering about dominant greenhouse gases like water vapor and diminishing returns from added CO2.Pielke’s analysis points to potential biases in scientific processes tied to bodies like the National Academies.
Net Zero Policies Test Economic Limits
South Korea’s push for net zero emissions by 2035 exposed vulnerabilities during recent Persian Gulf tensions that spiked oil prices. The nation’s refineries process millions of barrels daily to produce petrochemicals vital for exports in semiconductors, ships, autos, and textiles – industries renewables cannot yet match in density or reliability.[2]
Authors warned that such mandates ignore modern industrial realities, risking growth and innovation. A “number of the week” comparison reinforced this: U.S. GDP per capita now exceeds Germany’s by 45%, the UK’s by 61%, and France’s by 81%, linking Europe’s lag partly to aggressive net zero pursuits.[1]
Broader Implications for Science and Policy
These updates, drawn from a weekly review by the Science and Environmental Policy Project, also spotlighted recognitions like SEPP’s annual “April Fools Award” for expanding government via weak science. Amid lists of reports challenging dominant views – from NIPCC summaries to radiation transfer studies – the emphasis fell on transparency and evidence over consensus.[2]
Politicization risks sidelining genuine uncertainties, yet the climate system’s indifference to models demands rigorous, open inquiry. As debates evolve, grounded data from extended records offers a counterpoint to sweeping claims, reminding policymakers of nature’s regional intricacies.
