Category Archives: Climate Changes

Japan record high temperatures due to urban heat sinks

“It turns out that the record temperature that the media like the Times got all excited about has little to do with global warming, but likely a lot more with the urban heat island effect, where nearby asphalt, steel and concrete act as huge summertime heat sinks and so distort the readings of nearby instruments.” click here

Seabed volcanoes influence West Antarctic glacier melts

“New evidence now updates and confirms a column I wrote in June 2014 that some or all of the highly publicized melting of western coastal Antarctic glaciers may be caused by seabed volcanoes rather than having much or anything to do with climate change.” click here

Junk climate science rolls on…

“Bishop Hill bothered to look up the paper, should you want to bother reading it. It’s junk science at it’s worst, and apparently sailed through peer review in less than two months.” click here

Heat wave provides fuel for alarming claims, yet again.

“As you can see very clearly in these charts courtesy of Joe Bastardi, the large band of cold water in the Atlantic – a vast surface area representing one-sixth of the world’s ocean – has left a skinny band of warm water to the north which is causing Europe’s heatwave.” click here

Wildfires are in decline globally

“As usual with climate fear articles like this one in the L. A. Times the scientific reality present a far different picture. The latest scientific study completed by the Royal Society concludes that global wildfires are in decline.” click here

Forest mismanagement fuels California fires

“The Little Hoover Commission (LHC), an independent California oversight agency, has been documenting forest mismanagement in the Golden State for decades. LHC described California’s Timber Harvest Plan in 1994 as an “inadequate tool” for balancing environmental and economic needs.” click here

South Pacific island shorelines expand

“the dramatic impacts of climate change felt on coastlines and people across the Pacific are still anecdotal” see discussion here

Michino Hisabayashi, John Rogan & Arthur Elmes. Quantifying shoreline change in Funafuti Atoll, Tuvalu using a time series of Quickbird, Worldview and Landsat data Journal GIScience & Remote Sensing Volume 55, 2018 Issue 3

Funafuti Atoll, Tuvalu is located in the southwestern Pacific Ocean, which has experienced some of the highest rates of global sea-level rise over the past 60 years. Atoll islands are low-lying accumulations of reef-derived sediment that provide the only habitable land in Tuvalu, and are considered vulnerable to the myriad possible impacts of climate change, especially sea-level rise. This study examines the shoreline change of twenty-eight islands in Funafuti Atoll between 2005 and 2015 using 0.65 m QuickBird, 0.46 m WorldView-2, and 0.31 m WorldView-3 imagery using an image segmentation and decision tree classification. Shoreline change estimates are compared to previous study that used a visual interpretation approach. The feasibility of estimating island area with Landsat-8 Operational Land Imager (OLI) data is explored using CLASlite software. Results indicate a 0.13% (0.35 ha) decrease in net island area over the study time period, with 13 islands decreasing in area and 15 islands increasing in area. Substantial decreases in island area occurred on the islands of Fuagea, Tefala and Vasafua, which coincides with the timing of Cyclone Pam in March, 2015. Comparison between the WorldView-2 shoreline maps and those created from Landstat-8 indicate that the estimates tend to be in higher agreement for islands that have an area > 0.5 ha, a compact shape, and no built structures. Ten islands had > 90% agreement, with percent disagreements ranging from 2.78 to 100%. The methods and results of this study speak to the potential of automated EoV shoreline monitoring through segmentation and classification tree approach, which would reduce down data processing and analysis time. With the growing constellation of high and medium spatial resolution satellite-based sensors and the development of semi or fully automated image processing technology, it is now possible to remotely assess the short and medium-term shoreline dynamics on dynamic atolls. Landsat estimates were reasonably matched to those derived from fine resolution imagery, with some caveats about island size and shape.