Not exact matches
«NASA has access to large - scale oceanographic
data sets
ranging from primary productivity to
ocean temperature, currents and wind,» Moore said.
When I reviewed the
ocean temperature data sets back in 2003 through 2005 that appeared to have been
data taken in the N. Atlantic above the 30th parallel, with an indication of cooling in the 2300 to 1700 meter
range.
Very recent, wide
ranging review of
temperature measurements in the
oceans with a detailed discussion of the accuracy of the
data, planetary energy balance and the effect of the warming on sea levels.
Which implies that since the late» 40's - early» 50's we have had a
data collection system deployed capable of measuring and tracking the annual
TEMPERATURE of the top 2000 meters of the
oceans of the world (necessary to calculate its heat content)-- all of them — with a precision and accuracy in the millidegree
range.
According to
data from the reanalysis produced by the European Centre for Medium -
Range Weather Forecasts, the January to October combined land and
ocean global average
temperature would place 2014 as third or fourth highest for this dataset, which runs from 1958.
Do I really believe that a $ 15k float, running unattended and uncalibrated in the open
ocean will produce
temperature data over an expected
temperature range of 0 - 30 C with 5 millidegree error bounds over its operational life (4 + / - years)?
C: increase in atmospheric CO2 from pre-industrial to present is anthropogenic (D / A) S: best guess for likely climate sensitivity (NUM) s: 2 - sigma
range of S (NUM) a:
ocean acidification will be a problem (D / A) L: expected sea level rise by 2100 in cm (all contributions)(NUM) B: climate change will be beneficial (D / A) R: CO2 emissions need to be reduced drastically by 2050 (D / A) T: technical advances will take care of any problems (D / A) r: the 20th century global
temperature record is reliable (D / A) H: over the last 1000 years global
temperature was hockey stick shaped (D / A) D:
data has been intentionally distorted by scientist to support the idea of anthropogenic climate change (D / A) g: the CRU - mails are important for the science (D / A) G: the CRU - mails are important otherwise (D / A)
To estimate the uncertainty
range (2σ) for mean tropical SST cooling, we consider the error contributions from (a) large - scale patterns in the
ocean data temperature field, which hamper a direct comparison with a coarse - resolution model, and (b) the statistical error for each reconstructed paleo -
temperature value.
Kevin C's excellent trend tool shows us what the new
data mean for the surface
temperature trend since 1970: it's about +0.17 C per decade, but there's a
range in that because short term wiggles are caused by things like the El Nino - La Nina cycle in the Pacific which warm or cool the atmosphere by storing or releasing heat from the
oceans.
The dust −
temperature relationships for the Southern
Ocean and Chinese Loess are shown in Fig. 3 B and C. To further minimize possible issues connected with time scales,
data uncertainty, and uneven
data distribution across
temperature ranges, we collect the dust deposition −
temperature data points for each
data set combination in Fig. 3 into four bins (see Materials and Methods).
Other
data sets such as
ocean heat content, sea ice extent, whatever, are not sufficiently mature or long -
range... Further, the surface
temperature is most relevant to climate change impacts, since humans and land ecosystems live on the surface.»