To sider af et spejlhav, adskilt fra hinanden af et fælles sprog? Kroppen i narrativ antropologi og videnskabelig medicin

This paper addresses the vexed question of the intellectual relationships between physicians and medical anthropologists sometimes incorporated in the same body. It suggests that they are more divided than they think because neither side always recognises that the former are, by definition, required to be pragmatic and the latter, analytical. They are less divided than they think because both groups have recently moved towards focusing their study on the body; physicians rather than just on the diseased part, anthropologists instead of on reified, but disembodied, culture. The new developments, however, may lead to the concealing and reinforcing of a deeper division based on their diverse ways of seeing the body. They use each other as mirrors and, as through a glass darkly, see themselves as the despised other, and others as an esteemed self

Extreme events driving year-to-year differences in gross primary productivity across the US

Solar-Induced chlorophyll Fluorescence (SIF) has previously been shown to strongly correlate with gross primary productivity (GPP), however this relationship has not yet been quantified for the recently launched TROPOspheric Monitoring Instrument (TROPOMI). Here we use a Gaussian mixture model to develop a parsimonious relationship between SIF from TROPOMI and GPP from flux towers across the conterminous United States (CONUS). The mixture model indicates the SIF-GPP relationship can be characterized by a linear model with two terms. We then estimate GPP across CONUS at 500-m spatial resolution over a 16-day moving window. We find that CONUS GPP varies by less than 4% between 2018 and 2019. However, we observe four extreme precipitation events that induce regional GPP anomalies: drought in west Texas, flooding in the midwestern US, drought in South Dakota, and drought in California. Taken together, these events account for 28% of the year-to-year GPP differences across CONUS

Extreme events driving year-to-year differences in gross primary productivity across the US

Solar-Induced chlorophyll Fluorescence (SIF) has previously been shown to strongly correlate with gross primary productivity (GPP), however this relationship has not yet been quantified for the recently launched TROPOspheric Monitoring Instrument (TROPOMI). Here we use a Gaussian mixture model to develop a parsimonious relationship between SIF from TROPOMI and GPP from flux towers across the conterminous United States (CONUS). The mixture model indicates the SIF-GPP relationship can be characterized by a linear model with two terms. We then estimate GPP across CONUS at 500-m spatial resolution over a 16-day moving window. We find that CONUS GPP varies by less than 4% between 2018 and 2019. However, we observe four extreme precipitation events that induce regional GPP anomalies: drought in west Texas, flooding in the midwestern US, drought in South Dakota, and drought in California. Taken together, these events account for 28% of the year-to-year GPP differences across CONUS

A double peak in the seasonality of California's photosynthesis as observed from space

Solar-induced chlorophyll fluorescence (SIF) has been shown to be a powerful proxy for photosynthesis and gross primary productivity (GPP). The recently launched TROPOspheric Monitoring Instrument (TROPOMI) features the required spectral resolution and signal-to-noise ratio to retrieve SIF from space. Here, we present a downscaling method to obtain 500 m spatial resolution SIF over California. We report daily values based on a 14 d window. TROPOMI SIF data show a strong correspondence with daily GPP estimates at AmeriFlux sites across multiple ecosystems in California. We find a linear relationship between SIF and GPP that is largely invariant across ecosystems with an intercept that is not significantly different from zero. Measurements of SIF from TROPOMI agree with MODerate Resolution Imaging Spectroradiometer (MODIS) vegetation indices – the normalized difference vegetation index (NDVI), enhanced vegetation index (EVI), and near-infrared reflectance of vegetation index (NIR_v) – at annual timescales but indicate different temporal dynamics at monthly and daily timescales. TROPOMI SIF data show a double peak in the seasonality of photosynthesis, a feature that is not present in the MODIS vegetation indices. The different seasonality in the vegetation indices may be due to a clear-sky bias in the vegetation indices, whereas previous work has shown SIF to have a low sensitivity to clouds and to detect the downregulation of photosynthesis even when plants appear green. We further decompose the spatiotemporal patterns in the SIF data based on land cover. The double peak in the seasonality of California's photosynthesis is due to two processes that are out of phase: grasses, chaparral, and oak savanna ecosystems show an April maximum, while evergreen forests peak in June. An empirical orthogonal function (EOF) analysis corroborates the phase offset and spatial patterns driving the double peak. The EOF analysis further indicates that two spatiotemporal patterns explain 84 % of the variability in the SIF data. Results shown here are promising for obtaining global GPP at sub-kilometer spatial scales and identifying the processes driving carbon uptake

Reviews

The following publications have been reviewed by the mentioned authors;Art and Society One. War by Ken Baynes, reviewed by Ronald FrankenbergArt and Society Two. Work by Ken Baynes and Alan Robinson, reviewed by Ronald FrankenbergArt and Society Three. Worship by Ken and Kate Baynes, reviewed by Ronald FrankenbergArt and Science by Dolf Rieser, reviewed by M. K. PaffardA COMMON SYSTEM OF EXAMINING AT 16+ by the Schols Council Examinations Bulletin No.23, reviewed by W. G. SkinnerSchool Resource Centres, the Schools Council Working Paper 43, reviewed by L. BroughA History of English Furniture by John Harrison, reviewed by S. J. EgglestonTrends in School Design by Eric Pearson, reviewed by P. K. BodenWorking Space, A Place to Paint, Language Aeas by Jason Dean, reviewed by P. K. BodenAlive to Art by Jose Llobera, reviewed by John LancasterVisual Education in the primary school by John M. Pickering, reviewed by L. BroughArt & Design Cards. Packs 1 & 2 by Ian Pillinger, reviewed by Francis ZankerWorkshop Assignments, Book One by S. Dunkerley & A. Huxton, reviewed by L. BroughStep By Step Metalwork, Book 3 by Kenneth Wells, reviewed by M. SayerIntroducing Jewellery Making by John Crawford, reviewed by John DecorteMaggie Hayes Jewellery Book by Maggie Hayes, reviewed by S. J. Egglesto

Observed impacts of COVID-19 on urban CO₂ emissions

Governments restricted mobility and effectively shuttered much of the global economy in response to the COVID‐19 pandemic. Six San Francisco Bay Area counties were the first region in the United States to issue a “shelter‐in‐place” order asking non‐essential workers to stay home. Here we use CO₂ observations from 35 Berkeley Environment, Air‐quality and CO₂ Network (BEACO₂N) nodes and an atmospheric transport model to quantify changes in urban CO₂ emissions due to the order. We infer hourly emissions at 900‐m spatial resolution for 6 weeks before and 6 weeks during the order. We observe a 30% decrease in anthropogenic CO₂ emissions during the order and show that this decrease is primarily due to changes in traffic (–48%) with pronounced changes to daily and weekly cycles; non‐traffic emissions show small changes (–8%). These findings provide a glimpse into a future with reduced CO₂ emissions through electrification of vehicles

Observed impacts of COVID-19 on urban CO₂ emissions

Governments restricted mobility and effectively shuttered much of the global economy in response to the COVID‐19 pandemic. Six San Francisco Bay Area counties were the first region in the United States to issue a “shelter‐in‐place” order asking non‐essential workers to stay home. Here we use CO₂ observations from 35 Berkeley Environment, Air‐quality and CO₂ Network (BEACO₂N) nodes and an atmospheric transport model to quantify changes in urban CO₂ emissions due to the order. We infer hourly emissions at 900‐m spatial resolution for 6 weeks before and 6 weeks during the order. We observe a 30% decrease in anthropogenic CO₂ emissions during the order and show that this decrease is primarily due to changes in traffic (–48%) with pronounced changes to daily and weekly cycles; non‐traffic emissions show small changes (–8%). These findings provide a glimpse into a future with reduced CO₂ emissions through electrification of vehicles

Toward accurate CO2 and CH4 observations from GOSAT

The column-average dry air mole fractions of atmospheric carbon dioxide and methane (XCO2 and XCH4) are inferred from observations of backscattered sunlight conducted by the Greenhouse gases Observing SATellite (GOSAT). Comparing the first year of GOSAT retrievals over land with colocated ground-based observations of the Total Carbon Column Observing Network (TCCON), we find an average difference (bias) of-0.05% and-0.30% for XCO2 and XCH4 with a station-to-station variability (standard deviation of the bias) of 0.37% and 0.26% among the 6 considered TCCON sites. The root-mean square deviation of the bias-corrected satellite retrievals from colocated TCCON observations amounts to 2.8 ppm for XCO2 and 0.015 ppm for X CH4. Without any data averaging, the GOSAT records reproduce general source/sink patterns such as the seasonal cycle of XCO2 suggesting the use of the satellite retrievals for constraining surface fluxes. Copyright 2011 by the American Geophysical Union