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Remote Sensing (RS) provides significant insights for the monitoring of natural disasters like earthquakes for pre-and post-seismic precursors around the seismogenic regions. The integrated analysis of atmosphere data from satellites has been vital in this progress, providing detection of anomalies associated with the seismic activities. This study provides a comprehensive study of a statistical analysis for possible atmospheric precursors over the forth coming seismic breeding zone around the world. In this study, we have investigated Outgoing Longwave Radiation (OLR) and Relative Humidity (RH) anomalies associated with 10 large magnitude (Mw ≥ 6.5) earthquakes around the world. We examined pre-and post-seismic anomalies in OLR and RH from the data of the National Oceanic and Atmospheric Administration, Physical Sciences Laboratory (NOAA-PSL). This research confirms the existence of OLR and RH precursors as candidate parameters for large earthquakes precursors over the epicenters. The study findings indicate that the OLR and RH anomalies were evident in each of the 10 seismic events, with anomalous windows occurring between 7 and 5 days before and in few cases 2 to 3 days after the earthquake. Furthermore, this study suggests that OLR and RH hold promise as reliable space-based precursors for earthquake forecasting. The identified anomalies exhibit a notable consistency with the stress-induced activation of proxy defects at the interface between the lithosphere and atmosphere within the seismic breeding zone. [ABSTRACT FROM AUTHOR]

A Python program was first developed for multiple regression, but it is equally good for modeling of physical sciences phenomena through linear regression, non-linear, and polynomial fitting. The program was implemented on three problems from three disciplines. An example from environmental science is used to implement multiple regression; relative humidity was predicted from daily temperatures and Dew point. The polynomial fitting example was taken from Physics, in which a quadratic polynomial was fitted. The non-linear fitting example was taken from Chemistry, in which the reaction rate is a non-linear function of the product's concentration. Good results have been obtained in each case. The program can do multiple tasks, can easily be understood, and can easily be operated. Another important feature of the program is that it calculates the coefficients through a single line code. [ABSTRACT FROM AUTHOR]

The Australian Institute for the Conservation of Cultural Material has published a range of resources that promote environmentally aware collection care and management practices including climate-specific Environmental Guidelines, the Sustainable Collections wiki and the Climate Adaptation resource. The Climate Adaptation resource provides access to 180 maps illustrating potential future climate scenarios for Australia in 2030 and 2090, using the two Representative Concentration Pathways RCP4.5 and RCP8.5. These maps were produced as part of research undertaken in 2019–2020 by Pagliarino and Meredith and supplement those published in volume 41 (issue 1) of the AICCM Bulletin. The release of updated climate change projections in the Sixth Assessment Report from the Intergovernmental Panel on Climate Change (IPCC) – Climate Change 2021: The Physical Science Basis – precipitated a review of the Climate Adaptation resource to confirm the continued veracity of the maps. This paper provides the results of that assessment, which confirmed the resource's ongoing accuracy and currency. In addition, the paper includes discussion of the new IPCC future climate scenarios of Shared Socioeconomic Pathways, which supersede RCP, and a summary of the state of the climate in Australia with warming, humidity, fire, weather and sea level rise investigated in more detail. [ABSTRACT FROM AUTHOR]