That's because past measurements have been spotty and difficult to extrapolate across larger regions, and the period over
which rainfall data have been recorded is relatively short.
Not exact matches
Researchers used two methods to track groundwater levels, traditional water balance estimates —
which take into account surface water inflow like
rainfall and snow melt, soil moisture capacity and evapotranspiration — and
data from NASA's twin satellite system called GRACE (Gravity Recovery and Climate Experiment).
The researchers analyzed
rainfall data recorded throughout Africa from 1920 to 2013 and found that the Sahara,
which occupies much of the northern part of the continent, expanded by 10 percent during this period when looking at annual trends.
Colin Kelley of the University of California, Santa Barbara, and his colleagues analysed Syrian weather
data since 1931, and found steadily less winter
rainfall,
which is crucial for crops, and higher temperatures,
which dry soils faster.
«[The Nature study is] heavily smoothing the
data so as to look only at centennial - scale shifts, not what we usually think of as droughts or
rainfall extremes,
which would be scales of days to at most a decade or two.»
The team charted trends in
rainfall from 1956 to 2005 in eastern China,
which has 162 weather stations that provided complete
data collected over the entire 50 years.
Depending on the level of service to
which an organisation subscribes, it will provide regular pdf updates, sent to a phone if required, showing forecast
data for RST (road surface temperature — much more relevant than air temperature when deciding when to grit),
rainfall, falling snow and road state.
My studies in 70s & 80s using
rainfall data series over different parts of the globe matches the drought conditions over different parts —
which was attributed to global warming by WMO and sent my response to Secretary General of WMO as those of my publications are with WMO library [book was reviewed by the Vice-President of Agrometeorology group in WMO].
The mechanism by
which the effect of oceanic variability over time is transferred to the atmosphere involves evaporation, conduction, convection, clouds and
rainfall the significance of
which has to date been almost entirely ignored due to the absence of the necessary
data especially as regards the effect of cloudiness changes on global albedo and thus the amount of solar energy able to enter the oceans.
Our observational studies (Gray and Schwartz, 2010 and 2011) of the variations of outward radiation (IR + albedo) energy flux to space (ISCCP
data) vs. tropical and global precipitation increase (from NCEP reanalysis
data) indicates that there is not a reduction of global net radiation (IR + Albedo) to space
which is associated with increased global or tropical - regional
rainfall.
When one uses the new
data to estimate the level of CO2 released for all of Indonesia in 2006 — a year with a weak El Nino, in
which rainfall was relatively low — one comes up with a figure of up to 900 million tons.
In 2004, new
rainfall data showed that half of the forest area of the Amazon Basin had either fallen below, or was very close to, the critical level of soil moisture below
which trees begin to die (Nepstad et al. 2004).
The correlation between the
rainfall threshold and increased fire activity was evident across all satellite
data used in the study,
which makes the threshold a useful benchmark for predicting and preparing for potential fire episodes.
One of the points on
which Prof Curry and Dr. Schmidt agree is that attribution requires a comparison of the actual
data (global mean temp, global mean
rainfall, etc) to a model of what would have happened absent human alteration of the Earth surface and atmosphere.
The Ben Nevis weather
data will tell us more about extreme
rainfall which is thought to be becoming more common in the UK.
It may be an improvement on limited
data but can't provide long term changes —
which alone can provide limits of
rainfall variability.
My goal is to justify a Levy distribution for daily
rainfall totals based on some rather well - understood physics (
which doesn't appear to be known by hydrologists) in order to motivate those with lotsa
data to see how well the Levy distribution fits the
data.
Well, it looks like the press release was carefully worded, and referring back to Anthony Watts article on his blog
which is criticized at the beginning of the RC article, i see no wrong claim there... Hiss main argument is written in bold: «The IPCC is under scrutiny for various
data inaccuracies, including its claim — based on a flawed World Wildlife Fund study — that up to 40 % of the Amazonian forests could react drastically and be replaced by savannas from even a slight reduction in
rainfall.»
(SW England that also got heavy rain is combined within the published HadUKP
data with S Wales that was less affected &
which normally has high
rainfalls, swamping the SW England
data.)