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    GLOBAL PATTERNS OF THE

    CLIMATIC ELEMENTS:

    (1) SOLAR ENERGY

    (Linked to solar insolation& R, net radiation)

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    REVIEW OF

    INSOLATION

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    DURATION

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    INTENSITY

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    RADIATION /

    ENERGY BALANCE

    Q* = ( K - K ) + ( L - L )where K = direct + diffuse shortwavesolar radiation

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    Kiehl and Trenberth (1997) BAMS

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    Trenberth et al. (2009) BAMS

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    Radiative Components

    Net short-wave radiation =short-wave down - short-wave up

    Net long-wave radiation =long-wave down - long-wave up

    Net radiation (R net) =

    net short-wave radiation + net long-wave radiationPositive values represent energy moving towards the

    surface, negative values represent energy moving away

    from the surface.

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    Net short-wave radiation =

    Positive values represent

    energy moving towards the

    surface, negative values

    represent energy moving

    away from the surface.

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    SW absorbed =

    Function ofINTENSITY &

    DURATION & sun

    angle / albedo

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    Net long-wave radiation =

    Positive values represent

    energy moving towards the

    surface, negative values

    represent energy moving

    away from the surface.

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    Net Surplus

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    Annual mean absorbed solar radiation,

    emitted longwave radiation(OLR) and net

    radiationby latitude

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    S = Solar radiation T = Terrestrial radiation

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    Net Radiation =

    Positive values represent

    energy moving towards the

    surface, negative values

    represent energy moving

    away from the surface.

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    N R di ti C t

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    Non-Radiative Components

    Sensible heat flux (H) = direct heating, a function

    of surface and air temperature

    Latent heat flux (LE) = energy that is stored in

    water vapor as it evaporates, a function of

    surface wetness and relative humidity

    Positive values for sensible and latent heat flux represent

    energy moving towards the atmosphere, negative values

    represent energy moving away from the atmosphere.

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    Non-Radiative Components

    Change in heat storage (G) =

    net radiation - latent heat flux - sensible heat flux

    G = R net - LE - H

    Positive values for change in heat storage

    represent energy moving out of storage,

    negative values represent energy moving into

    storage.

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    Sensible Heat Flux = H

    Positive values for sensible and latent

    heat flux represent energy moving

    towards the atmosphere, negative

    values represent energy moving away

    from the atmosphere.

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    Latent Heat Flux = LE

    Positive values for sensible and latent

    heat flux represent energy moving

    towards the atmosphere, negative

    values represent energy moving away

    from the atmosphere.

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    Tropical wet-dry climate

    Grassland /steppe climate

    Tropical wet climate

    Tropical desert

    climate

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    Change in Heat Storage = G

    Positive values for change in heat

    storage represent energy moving out of

    storage, negative values represent

    energy moving into storage.

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    GLOBAL PATTERNS OF

    THE CLIMATIC ELEMENTS:

    (2) TEMPERATURE

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    CONTROLS OF HORIZONTAL

    TEMPERATURE PATTERNS

    1. Sun angle & Duration

    2. Land vs. water thermal contrasts

    3. Warm & Cold surface oceancurrents

    4. Elevation

    5. Ice/Snow albedo effects

    6. Prevailing atmospheric circulation

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    1. Sun Angle & Duration

    Sun angle(influences intensity of solar insolation & albedo)

    Duration (based on day length)

    - both change with latitude and time of year

    Leads to: zonal (east-west) distribution of isotherms,

    hot in low latitudes; cold in high latitudes

    2 Land vs water thermal contrasts

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    Given the same intensity of insolation, the surface of any extensivedeep body of water heats more slowly and cools more slowly than the

    surface of a large body of land.

    4 Reasons:

    1) water has a higher specific heat and heat capacity than land

    2) transmission of sunlight into transparent water

    3) mixing is possible in water, but not soil

    4) evaporation cools air over water during hot season (less evap

    during winter)

    Leads to: annual and diurnal temperature ranges will be less in coastal/marine

    locations

    the lag time from maximum insolation to time of maximum temperature

    may be slightly longer in coastal/marine locations

    2. Land vs. water thermal contrasts

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    3. Warm and Cold Ocean Currents

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    4. Elevation

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    5. Ice /Snow Albedo & Other Effects

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    6. Prevailing atmospheric circulation

    Temperatures are affected by the temperature

    "upwind" -- i.e. where the prevailing winds and

    air masses originate

    MAPPING HORIZONTAL

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    MAPPING HORIZONTAL

    TEMPERATURE PATTERNS

    Isotherms= lines connecting points of equal temperature

    Isotherms will be almost parallel, extending east-west if Control

    #1 (sun angle) is the primary control.

    If any of the other controls are operating, isotherms on a map

    will have an EQUATORWARD shift over COLD surfaces and aPOLEWARD shift over WARM surfaces

    The TEMPERATURE GRADIENT will be greatest where there

    is a rapid change of temperature from one place to another

    (closely spaced isotherms).

    Continental surfaces in winter tend to have the steepest

    temperature gradients.

    Temperature gradients are much smaller over oceans, no

    matter what the season.

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    JANUARY JULYNorthern Hemisphere

    Southern Hemisphere

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    Southern Hemisphere

    Northern Hemisphere

    JANUARY JULY

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    http://geography.uoregon.edu/envchange/clim_animations/

    Constructed by:

    Jacqueline J. Shinker, JJ

    Univ of Oregon Climate Lab

    http://geography.uoregon.edu/envchange/clim_animations/http://geography.uoregon.edu/envchange/clim_animations/
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    The NCEP / NCARREANALYSIS PROJECT

    DATASET

    http://www.cdc.noaa.gov/cdc/data.ncep.reanalysis.html

    http://www.cdc.noaa.gov/cdc/data.ncep.reanalysis.htmlhttp://www.cdc.noaa.gov/cdc/data.ncep.reanalysis.html
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    The assimilated data are:

    -- computed by the reanalysis

    model at individual gridpoints

    -- to make gridded fields

    extending horizontally over the

    whole globe

    -- at 28 different levelsin theatmosphere.

    (Some of these levels correspond to the

    "mandatory" pressure height level at

    which soundings are taken, e.g., 1000,

    850, 700, 500, 250 mb, etc.)

    The horizontal resolution of the gridpoints is based on the T62 model

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    The horizontal resolution of the gridpoints is based on the T62model

    resolution(T62 = "Triangular 62-waves truncation") which is a grid of 192

    x 94 points, equivalent to an average horizontal resolution of a gridpoint

    every 210 km.

    The pressure level data are saved on a 2.5latitude-longitude grid.

    Note thatthe gridpoints for computed model output are more numerous

    and much closer together in the mid and high latitudes, and fewer and

    farther apart over the low latitudes.

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    Map of locations of Raobs soundings for the globe:

    Raobs = rawindsonde balloon soundings

    http://localhost/var/www/apps/conversion/tmp/GLOCLIM.2003/fig_3.5.gif
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    Reanalysis Output Fields

    The gridded output fields computed for different

    variables have been classified into four classes ( A,

    B, C, and D) depending on the relative influence (on

    the gridded variable) of:

    (1) the observational data

    (2) the model

    IMPORTANT: "the user should exercise cautionin interpreting results of the reanalysis,

    especially for variables classified in categories B

    and C." (p 448)

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    Class A= the most reliableclass of variables; "analysis

    variable is strongly influenced by observed data"

    value is closest to a real observationClass A variables:

    mean sea level pressure,

    geopotential height (i.e. height of 500 mb surface, 700mb surface, etc.),

    air temperature,

    wind (expressed as two vectors dimensions: zonal = u

    wind (west-east ) and meridional = v wind (north-

    south),

    vorticity (a measure of rotation)

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    Class C = the least reliable class of variables

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    Class C the least reliableclass of variables

    -- NO observations directly affect the variable and it is

    derived solely from the model computations

    -- forced by the model's data assimilation process, not by

    any real data.

    Class C variables:

    precipitation,snow depth,

    soil wetness and soil temperature,

    surface runoff,

    cloud fraction (% high, middle, low),cloud forcing, skin temperature, surface wind

    stress, gravity wind drag,

    and latent and sensible heat fluxesfrom surface or top of