AI Article Synopsis

  • - Two monthly time series of total precipitable water (TPW) from the ERA5 model show very similar trends, regardless of whether they are derived from hourly or twice-daily analyses.
  • - Both TPW and surface temperatures are on the rise, influenced by increasing atmospheric carbon dioxide levels.
  • - The findings suggest that data from a single satellite, like Suomi-NPP, is adequate for tracking global changes in temperature and TPW, as it aligns closely with the trends observed in detailed analyses.

Article Abstract

Two total precipitable water (TPW) monthly time series derived from hourly analyses and from 1:30 am and 1:30 pm (local time) analyses, respectively, from European Centre for Medium-Range Weather Forecasts Reanalysis model version 5 (ERA5) data are practically identical. The TPW is increasing as surface and lower tropospheric temperatures are warming. Surface pressure is rising as well because of increased mass from atmospheric carbon dioxide and TPW above the surface. The close similarity of trends using hourly and twice-daily analyses suggest that using well-calibrated observations from a single sun-synchronous polar orbiting satellite, such as Suomi-NPP Advanced Technology Microwave Sounder measurements, can be sufficient to characterize global trends in climate-sensitive surface temperatures and TPW.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11589833PMC
http://dx.doi.org/10.1038/s41598-024-80685-8DOI Listing

Publication Analysis

Top Keywords

total precipitable
8
precipitable water
8
surface pressure
8
surface
5
trends temperature
4
temperature total
4
water well
4
well trend
4
trend surface
4
pressure induced
4

Similar Publications

Unlabelled: Background - Alcohol is the most abused substance in Western society, resulting in major economic losses and negative health consequences. Therefore, there is a need for a selective and robust detection method for alcohol consumption in various clinical and forensic settings. This study aimed to validate a mass spectrometry method for quantifying phosphatidylethanol (PEth) and perform retrospective data analysis from the patient population of a national reference laboratory.

View Article and Find Full Text PDF

In situ decoration of AuPd nanoparticles on MOF derived ZnO for ultra-high response and low detection limit trimethylamine detection.

Anal Chim Acta

February 2025

School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, 454003, China. Electronic address:

Background: Trimethylamine (TMA) is a colorless, volatile gas with a strong irritating odor. Prolonged exposure to a certain amount of TMA can cause symptoms such as dizziness, nausea and difficulty breathing, and may even be life-threatening. Therefore, effective detection of TMA is crucial.

View Article and Find Full Text PDF

A Time Series Proposal Model to Define the Speed of Carbon Steel Corrosion in an Extreme Acid Environment.

Materials (Basel)

December 2024

Sustainable Mining Engineering Research Group, Department of Mining, Mechanic, Energetic and Construction Engineering, Higher Technical School of Engineering, University of Huelva, 21007 Huelva, Spain.

This article shows the behavior of the corrosive effect of acid mine water on carbon steel metal alloys. Mining equipment, composed of various steel alloys, is particularly prone to damage from highly acidic water. This corrosion results in material thinning, brittle fractures, fatigue cracks, and ultimately, equipment failure.

View Article and Find Full Text PDF

Machine learning (ML) methods continue to gain traction in hydrological sciences for predicting variables at large scales. Yet, the spatial transferability of these ML methods remains a critical yet underexamined aspect. We present a metamodel approach to obtain large-scale estimates of drain fraction at 10 m spatial resolution, using a ML algorithm (Gradient Boost Decision Tree).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!