I was supposed to upload this while we were in Australia!
New Papers & Articles Published from 02/24/2013 to 03/03/2013
Nature (Letters) Volume 494 (02/28/2013)
(1) Enhanced nitrogen deposition in China
Liu et al
doi:10.1038/nature11917
*China is facing a serious challenge of air pollution caused by emission of reactive nitrogen. What’s worse is the limited information of N deposition in China, so the authors used available plant foliar N and crop N uptake data to evaluate the problem.
(2) Evolutionary rescue from extinction is contingent on a lower rate of environmental change
Lindsey et al
doi:10.1038/nature11879
*This is especially interesting to me because I am starting a new project, evaluation of corals under stress (simulating global warming and ocean acidification) at molecular level. The authors focused on the “rate” of stress level and revealed that E.Coli can be more tolerant against stress when the stress happens gradually as the genotypes can be evolved.
Science (News of the week) Volume 339 (03/01/2013)
(3) Random sample
doi: 10.1126/science.339.6123.1018-c
*NASA’s Curiosity rover collected grey sediments from the Mars’ site that used to be saturated with water. Mars, the reddish planet, showed it has a different coloration.
Science (NewsFocus)
(4) Pollutants capture the high ground in the Himalayas
doi: 10.1126/science.339.6123.1030
*Striking fact from the climatological data from Himalayas: the regional climate is affected by pollutants as they can accelerate glacier melt. Pollutants at higher latitudes have longer lifetime and affect cloud formation and decrease solar radiation reaching the surface.
Science (Perspectives)
(5) Leads and lags at the end of the last ice age
doi:10.1126/science.1234239
*Does CO2 drive climate cycles, or is it vice versa? To answer this question, precise dating is necessary, and Parrenin et al used 15N/14N enriched in firn to calculate gas age and ice age difference. As a result, they indicated the CO2 concentration and the Antarctic temperature were tightly coupled.
Science (Reports)
(6) Synchronous change of atmospheric CO2 and Antarctic temperature during the last deglacial warming
Parrenin et al
doi:10.1126/science.1226368
*This is the full text mentioned in (5). EPICA Dome C was reevaluated using their LID (Lock in Depth) estimate based onδ15N, the depth at which air in the ice is permanently trapped. There are two advantages of using δ15N: the smaller uncertainty and continuous gas age compared to previous studies using tie points.
Science (Technical comment)
PNAS Volume 110 (02/26/2013)
(9) Fostering advances in interdisciplinary climate science
Shaman et al
doi: 10.1073/pnas. 1301104110
doi:10.1126/science.1234239
*Does CO2 drive climate cycles, or is it vice versa? To answer this question, precise dating is necessary, and Parrenin et al used 15N/14N enriched in firn to calculate gas age and ice age difference. As a result, they indicated the CO2 concentration and the Antarctic temperature were tightly coupled.
Science (Reports)
(6) Synchronous change of atmospheric CO2 and Antarctic temperature during the last deglacial warming
Parrenin et al
doi:10.1126/science.1226368
*This is the full text mentioned in (5). EPICA Dome C was reevaluated using their LID (Lock in Depth) estimate based onδ15N, the depth at which air in the ice is permanently trapped. There are two advantages of using δ15N: the smaller uncertainty and continuous gas age compared to previous studies using tie points.
Science (Technical comment)
(7) Comment on “Lethally hot temperatures during the early Triassic greenhouse”
Goudemand et al
doi:10.1126/science.1232924
*Sun et al. analyzed δ18O of conodont, but the authors criticized that they had methodological flaws: some results are out of conodont’s biozone.
(8) Response to comment on “lethally hot temperatures during the early Triassic greenhouse”
Sun et aldoi:10.1126/science.
*This is the most aggressive comment I’ve seen in academic... The heat of their arguments is due to the definition of “offset data ” from their analysis.
Goudemand et al
doi:10.1126/science.1232924
*Sun et al. analyzed δ18O of conodont, but the authors criticized that they had methodological flaws: some results are out of conodont’s biozone.
(8) Response to comment on “lethally hot temperatures during the early Triassic greenhouse”
Sun et aldoi:10.1126/science.
*This is the most aggressive comment I’ve seen in academic... The heat of their arguments is due to the definition of “offset data ” from their analysis.
PNAS Volume 110 (02/26/2013)
(9) Fostering advances in interdisciplinary climate science
Shaman et al
doi: 10.1073/pnas. 1301104110
*This is a very inspirational article talking about how climate research shall be. Climate science is considered as interdisciplinary study, and researchers are required to be open minded for various methodologies for novel discoveries.
(10) Development and application of earth system models
R. Prinn
doi: 10.1073/pnas. 1107470109
*The new earth system models, combining natural and human components of earth systems, were developed by researchers at MIT. This model will also be a great tool for environmental policy makers as GHG affect can be quauntitively evaluated.
(11) Estimating the sources global sea level rise with data assimilation techniques
Hay et al
doi: 10.1073/pnas. 117683109
*Statistical formalism called Kalman smoother was explained for estimations of sources of global sea level changes. With this method, we can estimate the melt rate of Greenland and West Arctic ice sheet from global tide gauge data.
(10) Development and application of earth system models
R. Prinn
doi: 10.1073/pnas. 1107470109
*The new earth system models, combining natural and human components of earth systems, were developed by researchers at MIT. This model will also be a great tool for environmental policy makers as GHG affect can be quauntitively evaluated.
(11) Estimating the sources global sea level rise with data assimilation techniques
Hay et al
doi: 10.1073/pnas. 117683109
*Statistical formalism called Kalman smoother was explained for estimations of sources of global sea level changes. With this method, we can estimate the melt rate of Greenland and West Arctic ice sheet from global tide gauge data.
