Vera C. S., P. L. M. Gonzalez, B. Liebmann and G. N. Kiladis (November 2018): Seasonal cycle
of precipitation variability in South America on intraseasonal timescales.
Whereas the corresponding precipitation variability can be described as a white noise stochastic process, power spectra of vertically integrated soil water exhibit significant redness on timescales of years to decades, since the predictability of soil water storage arises mostly from the integration
of precipitation variability.
Some global circulation models also project that mean winter precipitation in the Southwest will decline by up to 10 % [52], but it may take many years to detect effects on stream flows because
of precipitation variability [55].
If past patterns
of precipitation variability remain stable in the near term, then it is probable that precipitation and flows in the Salt - Verde watersheds will shift into wetter conditions within the timeframe examined in this study [66].
«Interestingly, the effect
of precipitation variability was amplified over the six years the experiment lasted and we still don't know its end point,» said Laureano Gherardi, a School of Life Sciences postdoctoral research associate and co-author of the paper.
Not exact matches
The methodology developed in Lovejoy's two recent papers could also be used by researchers to help analyze
precipitation trends and regional climate
variability and to develop new stochastic methods
of climate forecasting, he adds.
Variability of central European temperature and
precipitation shows correlations with some major historical changes.
We present tree ring — based reconstructions
of central European summer
precipitation and temperature
variability over the past 2500 years.
Because they are habitat specialists requiring a very specific amount
of precipitation, they are likely to be unprepared to face ongoing temperature
variability and changing
precipitation levels.
Because
of large natural
variability, the first approach results in an outcome suggesting that it is appropriate to conclude that there is no increase in
precipitation by human influences, although the correct interpretation is that there is simply not enough evidence (not a long enough time series).
On decadal time scales, annual streamflow variation and
precipitation are driven by large - scale patterns
of climate
variability, such as the Pacific Decadal Oscillation (see teleconnections description in Climate chapter)(Pederson et al. 2011a; Seager and Hoerling 2014).
For the Powder River near Locate, May - June
precipitation accounts for close to half (43 %)
of the annual
variability in streamflow, probably because southeastern Montana receives the majority
of its annual
precipitation in the spring and early summer.
The ENSO phenomenon is one
of the key factors that influence the interannual
variability of precipitation over Southern South America.
has decreased in winter, but no significant change in annual mean
precipitation potentially because
of very slight increases in spring and fall
precipitation;
precipitation is projected to increase across Montana, primarily in spring; slight decrease in summer
precipitation;
variability of precipitation year - to - year projected to increase
Cullather, R.I., D.H. Bromwich, and M.L. Van Woert, 1998: Spatial and temporal
variability of Antarctic
precipitation from atmospheric methods.
However, it is expected that — given the combination
of changes in
precipitation variability, changed snowpack, and rising temperatures — future droughts will be more severe when they do occur.
Average winter
precipitation has decreased by 0.9 inches (2.3 cm), which can mostly be attributed to natural
variability and an increase in El Niño events, especially in the western and central parts
of the state.
Multidecadal
variability of the continental
precipitation annual amplitude driven by AMO and ENSO
Around 1.2 billion people live in areas
of physical scarcity, and 500 million people are approaching this situation mainly due to lack
of precipitation combined with high
variability and frequent drought events, lack
of infrastructure, increased pollution and unsustainable water management.
Areas
of expertise: Global and regional climate change and
variability; analysis
of extreme climate and weather events (e.g.
precipitation, drought, tropical and mid-latitude storms); climatic signal decomposition methods
Horinouchi, T., 2002: Mesoscale
variability of tropical
precipitation: Validation
of satellite estimates
of wave forcing using TOGA COARE radar data.
For birds and amphibians, we considered exposure to five components
of climate change, namely changes in mean temperature, temperature
variability, mean
precipitation,
precipitation variability and sea level rise.
Global models for the 21st century find an increased
variability of precipitation minus evaporation [P - E] in most
of the world, especially near the equator and at high latitudes [125].
By looking at the signatures
of climate change in
precipitation intensity and comparing that to the internal
variability and the observation, the researchers conclude that the probability
of intense
precipitation on any given day has increased by 7 percent over the last 50 years — well outside the bounds
of natural
variability.
What would be interesting to look at, rather than mean annual temperatures is the
variability of temperature and
precipitation patterns throughout the year.
These
variability trends indicate that the frequency
of extremes (more drought events and more heavy
precipitation events) has increased whereas the mean has remained approximately the same.
I quote from their abstract http://journals.ametsoc.org/doi/abs/10.1175/JCLI-D-10-05035.1 «The first REOF in particular consists
of a Rossby wave that extends across northern Eurasia where it is a dominant contributor to monthly surface temperature and
precipitation variability and played an important role in the 2003 European and 2010 Russian heat waves.»
Averaging smoothes out day - to - day and year - to - year natural weather
variability and extremes, removing much
of the chaotic behavior, revealing any underlying long term trends in climate, such as a long term increase or decrease in temperature, or long term shifts in
precipitation patterns.
My experience with extremes and detection and attribution
of an anthropogenic signal in those is that only by averaging the behavior
of extremes (both temperature extremes and
precipitation extremes) over large geographical areas (continental or barely sub-continental) we have been able to see something outside
of natural
variability.
These shape the 4 - dimensional pattern
of temperature and other changes — the patterns
of circulation, latent heating, and
precipitation will shift, as can the cycles driven the imposed diurnal and seasonal cycles in incident solar radiation; the texture
of internal
variability can also shift.
In part because
of large intrinsic
variability, no evidence was found for changes in extreme
precipitation attributable to climate change in the available observed record.»
So: The study finds a fingerprint
of anthropogenic influences on large scale increase in
precipitation extremes, with remaining uncertainties — namely that there is still a possibility that the widespread increase in heavy
precipitation could be due to an unusual event
of natural
variability.The intensification
of extreme rainfall is expected with warming, and there is a clear physical mechanism for it, but it is never possible to completely separate a signal
of external forcing from climate
variability — the separation will always be statistical in nature.
Heck, even if AGW weren't an issue, understanding the range
of climate variation (that is temperature,
precipitation, cloud cover, etc) expected from natural
variability is still something that needs quantifying accurately, especially as we zoom towards a 10 - billion world population with all
of the major agricultural areas concentrated in small regions
of the globe.
This criterion may not be satisfied if observations are available only over a short time period (as is the case for the vertical structure
of clouds), or if the predictor is defined through low - frequency
variability (trends, decadal
variability), or if there is a lack
of consistency among available datasets (as in the case for global - mean
precipitation and surface fluxes).
«Ocean evaporation has little direct influence on California
precipitation because
of its relatively weak
variability,» Wei said.
No changes in extreme
precipitation attributable to climate change were found for the observational period, in large part because
of significant year - to - year
variability.
This study investigates the
variability of convective and stratiform rainfall from 8 yr (1998â $ «2005)
of Tropical Rainfall Measuring Mission (TRMM)
Precipitation Radar (PR) and TRMM Microwave Imager (TMI) measurements, focusing on seasonal diurnal
variability.
In this steep alpine basin, stream temperature
variability appears to be enhanced by quick routing
of precipitation to the river channel (i.e., direct
precipitation / channel interception, rapid surface flow over impermeable bedrock / thin alpine soils, and subsurface flow through highly weathered scree slopes).
More accurate and reliable
precipitation data would be invaluable, not only for the study
of climate trends and
variability, but also as inputs to hydrological and ecological models and for model validation, characterization
of extreme events, and flood and drought forecasting.
Diurnal
variability is an important yet poorly understood aspect
of the warm - season
precipitation regime over southwestern North America.
Bonfils, C.J.W., B.D. Santer, T.J. Phillips, K. Marvel, L.R. Leung, C. Doutriaux, and A. Capotondi, 2015: Relative contributions
of mean - state shifts and ENSO - driven
variability to
precipitation changes in a warming climate.
In agreement with the results
of their study, the contribution
of variability (i.e. amount
of precipitation during the driest and the wettest quarters) in our model was low; nevertheless the overall geographic fit
of the model was improved when those two variables were included.
Its six chapters cover temperature assessment,
precipitation assessment, large - scale climate
variability modes and related oscillation indices, extreme events, climate and composition
of the atmosphere and cryosphere and sea level.
This analytical document shows that stable isotope ratios can be used to monitor changes in the character
of precipitation in response to periodic
variability or changes in climate.
Glaciers are the result
of solid
precipitation and reflect its
variability from one year to the next.
«One
of the major modes
of climate
variability is El Niño and when we're in El Niño there's a large area
of warm sea surface temps in the Pacific,» this leads to more
precipitation on the West Coast, Crouch said.
One dynamically downscaled IPCC simulation (WRF - MPI - ECHAM5) has a robust representation
of Pacific sea surface temperature
variability in the future projection period up to 2040, but the relationship to enhancement
of precipitation extremes is not as clear as in observations.
The resolution must be very course
of curse and I don't know how they would allow for
variability in
precipitation.
Scenarios were designed to account for
variability in winter
precipitation, as well as the pace and extent
of forest treatments.
Output from global circulation models indicates that climate
variability will continue to be an important characteristic
of the region in the future [52], but that climate change may increase the risk
of extreme climatic events such as multi-decade droughts and extreme winter
precipitation [53], [54].