CLIMATES OF THE WORLD A climate is a long - term
pattern of air temperatures and precipitation.
Not exact matches
The Tibetan Plateau in China experiences the strongest monsoon system on Earth, with powerful winds — and accompanying intense rains in the summer months — caused by a complex system
of global
air circulation
patterns and differences in surface
temperatures between land and oceans.
Mori et al. identified two circulation
patterns that drove winter
temperatures in Eurasia from 1979 to 2013: the Arctic Oscillation (which confines colder
air to the polar latitudes) and a
pattern dubbed «Warm Arctic and Cold Eurasia» (WACE), which correlated both to sea - ice loss in the Barents - Kara Sea and to particularly cold winters; its impact has more than doubled the probability
of severe winters in central Eurasia.
Daniel Horton
of Stanford University in California and his colleagues analysed how
temperature has historically affected weather
patterns that blow away stagnant
air.
El Niño is a weather
pattern characterized by a periodic fluctuation in sea surface
temperature and
air pressure in the Pacific Ocean, which causes climate variability over the course
of years, sometimes even decades.
In late 2010 and early 2011, the continent Down Under received about twice its normal complement
of rain, thanks in large part to unusually warm sea - surface
temperatures just north
of Australia and a particularly strong La Niña — in essence, combining a source
of warm humid
air with the weather
patterns that steered the moisture over the continent where it condensed and fell as precipitation.
There are a variety
of theories about how rising
air temperature and altered precipitation
patterns might affect these ecosystems in the future.
The devices are manufactured by burning electrode
patterns with a commercial laser into plastic sheets in room -
temperature air, eliminating the complex fabrication conditions that have limited the widespread application
of microsupercapacitors.
For the change in annual mean surface
air temperature in the various cases, the model experiments show the familiar
pattern documented in the SAR with a maximum warming in the high latitudes
of the Northern Hemisphere and a minimum in the Southern Ocean (due to ocean heat uptake)(2)
«The Greenland ice sheet as a whole is shrinking, melting and reducing in size as the result
of globally changing
air and ocean
temperatures and associated changes in circulation
patterns in both the ocean and atmosphere,» Muenchow said.
[Response: Well, something like a circulation changed forced by the NAO
pattern (which may in turn be affected by greenhouse gases) might cause an increase in European
air temperatures, which in turn would allow low level moisture to increase if there is enough moisture supply, which would then constitute an amplification
of a signal driven remotely.
To remove this difference in magnitude and focus instead on the
patterns of change, the authors scaled the vertical profiles
of ocean
temperature (area - weighted with respect to each vertical ocean layer) with the global surface
air temperature trend
of each period.
Normalised RMS error in simulation
of climatological
patterns of monthly precipitation, mean sea level pressure and surface
air temperature.
The
temperature differential between the cold
of the far North and the warmer
air of the temperate zones to the south fuel the jet stream, which steers weather
patterns in the Northern Hemisphere.
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A sea breeze, which is caused by the
temperature and pressure difference between warm areas inland and the cool
air over the ocean, often develops on warm summer days as well, increasing the on - shore flow
pattern and maintaining a constant flow
of marine stratus clouds onto the coastal areas.
Air temperatures follow a similar
pattern with an average
of 35 - 38 °C in the summer and 22 - 24 °C in the November to February winter period.
What about
temperature affecting the cloudiness (e.g. advection
of mild and moist
air), and the role
of circulation
patterns?
«West Coast sea surface and coastal
air temperatures evolved in lockstep with changing
patterns of atmospheric pressure and winds.»
A clear
pattern of exceptional and record - setting warm
air temperatures is evident at long - term meteorological stations around Greenland (Table GL1).
Predicting sea ice extent is easy if you can mentally calculate wind variations, momentum, sea currents, multi year ice compression ratios, tidal synergy with weather
patterns, the AO, the
temperature of ice sea water and
air, how cloudy it will be, salinity, pycnocline convection rates, sea surface to
air interface, CO2 exchange, ice thickness distributions.....
Similar negative effects occur with worsening
air pollution — higher levels
of ground - level ozone smog and other pollutants that increase with warmer
temperatures have been directly linked with increased rates
of respiratory and cardiovascular disease — food production and safety — warmer
temperatures and varying rainfall
patterns mess up staple crop yields and aid the migration and breeding
of pests that can devastate crops — flooding — as rising sea levels make coastal areas and densely - populated river deltas more susceptible to storm surges and flooding that result from severe weather — and wildfires, which can be ancillary to increased heat waves and are also responsible for poor
air quality (not to mention burning people's homes and crops).
Canadian Ice Service, 4.7, Multiple Methods As with CIS contributions in June 2009, 2010, and 2011, the 2012 forecast was derived using a combination
of three methods: 1) a qualitative heuristic method based on observed end -
of - winter arctic ice thicknesses and extents, as well as an examination
of Surface
Air Temperature (SAT), Sea Level Pressure (SLP) and vector wind anomaly
patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model, which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictors.
The
air temperature patterns were a result
of low pressure on the Eurasian side
of the Arctic (Figure 8), along with high pressure in the Bering Sea, which supported some warm
air advection into the Chukchi and East Siberian seas region.
Normalised RMS error in simulation
of climatological
patterns of monthly precipitation, mean sea level pressure and surface
air temperature.
Canadian Ice Service, 4.7 (+ / - 0.2), Heuristic / Statistical (same as June) The 2015 forecast was derived by considering a combination
of methods: 1) a qualitative heuristic method based on observed end -
of - winter Arctic ice thickness extents, as well as winter Surface
Air Temperature, Sea Level Pressure and vector wind anomaly
patterns and trends; 2) a simple statistical method, Optimal Filtering Based Model (OFBM), that uses an optimal linear data filter to extrapolate the September sea ice extent timeseries into the future and 3) a Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictors.
Scientists say the Atlantic has settled into a
pattern of temperatures and
air patterns that is likely to sustain hyperactive hurricane seasons for a decade or two.
Much
of the inter-annual to decadal scale variability in surface
air temperature (SAT) anomaly
patterns and related ecosystem effects in the Arctic and elsewhere can be attributed to the superposition
of leading modes
of variability in the atmospheric circulation.
Fertilizer production will almost certainly keep growing to keep pace with human population, but the amount
of aerosols created as a result depends on many factors, including
air temperature, precipitation, season, time
of day, wind
patterns and
of course the other needed ingredients from industrial or natural sources.
But observations from recent years support the idea that the melting ice is a key factor in shaping the persistent
pattern of warm
temperatures over the Arctic that displaces bitter cold
air toward North America and especially Eurasia, says conference co-chair Judah Cohen, a climate scientist at the Massachusetts Institute
of Technology.
The most visible sign
of a warming climate is the increase in
air temperature, which affects the climate and weather
patterns.
Canadian Ice Service; 5.0; Statistical As with Canadian Ice Service (CIS) contributions in June 2009 and June 2010, the 2011 forecast was derived using a combination
of three methods: 1) a qualitative heuristic method based on observed end -
of - winter Arctic Multi-Year Ice (MYI) extents, as well as an examination
of Surface
Air Temperature (SAT), Sea Level Pressure (SLP) and vector wind anomaly
patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere, and sea ice predictors.
Working with a total
of 2,196 globally - distributed databases containing observations
of NPP, as well as the five environmental variables thought to most impact NPP trends (precipitation,
air temperature, leaf area index, fraction
of photosynthetically active radiation, and atmospheric CO2 concentration), Li et al. analyzed the spatiotemporal
patterns of global NPP over the past half century (1961 — 2010).
The surface data (left panel) are comprised
of surface
air temperature over land and the
temperature of water at the ocean's surface, and have been subjected to a slight additional smoothing to simplify the
pattern (Jones et al., 1999).
This
pattern of temperature change helps account for the discrepancy between trends in MSU 2R and surface
air temperatures.
Canadian Ice Service, 4.7 (± 0.2), Heuristic / Statistical (same as June) The 2015 forecast was derived by considering a combination
of methods: 1) a qualitative heuristic method based on observed end -
of - winter Arctic ice thickness extents, as well as winter Surface
Air Temperature, Sea Level Pressure and vector wind anomaly
patterns and trends; 2) a simple statistical method, Optimal Filtering Based Model (OFBM), that uses an optimal linear data filter to extrapolate the September sea ice extent timeseries into the future and 3) a Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictors.
He says to take examples from real world, (as he's done with the example
of packets
of air rising which is already well known and which is what gives us our weather), but on a non-rotating Earth it's the difference
of temperature provided by the Sun between the equator and the poles which sets up the basic
pattern of packets
of air on the move (which is wind, wind is volumes
of air on the move) from the equator to the poles where they cool and are drawn back to the equator where the heating cycle begins again.
This seesaw exchange
of air masses shifts
temperature conditions and storm
patterns throughout the region.
Since the ocean
temperature affects the
air above the water and movements
of air in the atmosphere contribute to our weather, El Niño can influence weather
patterns.
«Because the data with respect to in - situ surface
air temperature across Africa is sparse, a oneyear regional assessment for Africa could not be based on any
of the three standard global surface
air temperature data sets from NOAANCDC, NASA - GISS or HadCRUT4 Instead, the combination
of the Global Historical Climatology Network and the Climate Anomaly Monitoring System (CAMS GHCN) by NOAA's Earth System Research Laboratory was used to estimate surface
air temperature patterns»
Over the past 60 years, Alaska has warmed more than twice as rapidly as the rest
of the United States, with state - wide average annual
air temperature increasing by 3 °F and average winter
temperature by 6 °F, with substantial year - to - year and regional variability.1 Most
of the warming occurred around 1976 during a shift in a long - lived climate
pattern (the Pacific Decadal Oscillation [PDO]-RRB- from a cooler
pattern to a warmer one.
«The
pattern of decreasing tree cover and increasing impervious surfaces indicate a synergistic
pattern of loss
of environmental benefits (e.g.,
air temperature cooling by trees) and increased environmental issues (e.g.,
air temperature increases associated with impervious surfaces),» the authors write in their study.
so, yeah, it is really convenient that ocean surface
temperatures have gone down since the 1998 el nino due to wind
patterns but that extra heat going into the ocean is just as much a component
of warming as
air temperatures.
Since the scaling factor used is based purely on simulations by CMIP5 models, rather than on observations, the estimate is only valid if those simulations realistically reproduce the spatiotemporal
pattern of actual warming for both SST and near - surface
air temperature (tas), and changes in sea - ice cover.
«Over relatively short, non-climate timescales (less than 20 - 30 years), these
patterns of natural variability can lead to all kinds
of changes in global and regional near - surface
air temperature: flat, increasing, or even decreasing trends,»
The «Beast from the East» was the name given by the media to an unusual weather
pattern which saw warmer that average
temperatures over the arctic sending colder
air further south than normal, resulting in much
of western Europe being hit with sustained low
temperatures and heavy snow, blown in from Siberia.
Note that this result is not directly a test
of model fidelity, but rather
of linearity; what is converging here is the model's representations
of air - sea interaction leading to global mean surface
temperature anomalies, not whether the models have the ability to capture the magnitude or even the spatial
patterns of observed RASST variability.
As Mongabay staff writer John Cannon reported, higher - than - normal water and
air temperatures coupled with shifts in wind
patterns led to record - low sea ice extents in both the Arctic and the Antarctic in November
of 2016.