Last week I helped to clean the PhenoCam database. This means hunting for out of place images and shifts in the time series. Going through all these images I found this gem of a fall colour image. Although New England is known for it’s fall colours and leaf peeping this images is from Downer Woods near Lake Michigan.
[caption id=”” align=”alignnone” width=”800”] Downer Woods during fall[/caption]
I just finished reading “Bad Science” by Ben Goldacre. It’s an entertaining read discussing the various tricks employed by the “alternative” medicine circles and pharmaceutical industry to peddle drugs / miracle cures and therapies (you will never buy vitamins again).
In particular, the chapter “How the Media Promote the Public Misunderstanding of Science” stayed with me. This chapter discusses the role of media in actively promoting false ideas, mostly driven by profit or a lack of understanding. Most of the issues presented in this chapter apply to science in general and not only to medicine related topics. It also stresses the need for scientists to communicate science better and take a more active role in how their results are presented. It’s often all too clear that climate deniers exploit the weaknesses of the media to push their agenda. Media want easy (positive) headlines with an easy to understand storyline - e.g. miracle cures. Sadly, the world and science is often more complicated. But this does not mean we should not try to word things differently as to reach more people with research.
I can only recommend reading this book and I wholeheartedly support the author’s crusade against bad science in general.
in R / Research / Software on Climate data, R, Research, Richardson lab, Software
Daymet is a collection of algorithms and computer software designed to interpolate and extrapolate from daily meteorological observations to produce gridded estimates of daily weather parameters - as concisely described on the Daymet website.
As I’m extensively using daily meteorological data to drive my grassland model, quick and easy access to this data is key. However accessing single pixel values through the java tool provided was a bit cumbersome and did not fit my workflow. As such I wrote my own tool which queries the website and allows you to subset time series of a single pixel location (given a latitude, longitude position) all within R. Data is either just dowloaded to the current working directory or imported as a structured array into your R workspace for further analysis or formatting.
in Best of phenocam on Flux tower, Forest, Phenocam, Photography, Photos, Richardson lab, Tree
As I wander through the PhenoCam archives, I encounter truly stunning or interesting images. From time to time I’ll post these “best of PhenoCam” images on my blog together with some location information.
This first image is an old one, posted to my Flickr site a long time ago. It shows an early sunrise at a boreal Jack pine (Pinus banksiana) forest roughly 30 km south of Chibougamau, Quebec, Canada. Jack pines form fire adapted stands of 9-22 m tall and lanky trees. The image was taken from a 30 m high scaffolding tower harbouring an eddy covariance flux system.
[caption id=”” align=”alignnone” width=”640”] The sun peers through the morning fog illuminating the tops of a boreal Jack pine forest.[/caption]
in Diy / Research on Bartlett, Batteries, Field work, Flux tower, Nh, Richardson lab
Past January, after 10 years of service, the battery bank of the Bartlett flux tower gave in to too many cycles and harsh working conditions. Since it is a key component of the flux tower, replacements were bought and a large part of the lab made a trip to Bartlett to carry 6 large deep cycle batteries into the New Hampshire woods. Below the rather funny video of me sledding a battery into the woods. After a day of work, things are back up and running and have been ever since, hopefully for another 10 years.