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Title: Aerosol Pollution Impact on Precipitation


1
  • Aerosol Pollution Impact on Precipitation

William Cotton1 and Zev Levin2
1 Colorado State University, Dept. of
Atmospheric Science, Fort Collins, Colorado,
USA 2 Tel Aviv University, Dept. of Geophysics
Planetary Science, Tel Aviv, Israel
2
  • The WMO/IUGGINTERNATIONAL AEROSOL PRECIPITATION
    SCIENCE ASSESSMENT GROUP(IAPSAG)
  • Aerosol Pollution Impact on Precipitation
  • A Scientific Review
  • Zev Levin, Chairman
  • William Cotton, Vice Chairman

Approved by the WMO - May. 2007
3
There were
  • 13 Lead Authors
  • 27 Contributors
  • 17 Reviewers
  • During the process we lost
  • Peter Hobbs, original chairman
  • Yoram Kaufman, a lead author
  • Brian Ryan, a reviewer

4
The effects of aerosol pollution on clouds
  • Since the 1960s, measurements have provided
    numerous and consistent pieces of evidence that
    an increase in pollution leads to increases in
    Cloud Condensation Nuclei (CCN) a sub-set of
    atmospheric aerosols.

5
 Note that the increase in cloud drops tapers off
as the CCN concentrations increase. In stronger
updrafts (convective clouds) the increase in
drops with increase in pollution is steeper.
Ramanathan et al., 2001, based on data from
various groups .
6
The effects of air pollution on clouds can be
observed from space using new remote sensing
methods.
Rosenfeld (2000)
7
Pollution Tracks
8
Ship Tracks
9
(No Transcript)
10
Ice in clouds
  • Ice nuclei (IN) are a much smaller sub-set of
    atmospheric aerosols than CCN.
  • Their role in precipitation formation in certain
    clouds is critical.
  • Finding correlation between the concentrations of
    ice nuclei and ice crystals in clouds is
    difficult because of the low concentrations of IN
    and the numerous mechanisms by which ice crystals
    can form including ice multiplication mechanisms.

11
  • What can pollution do to ice nuclei?
  • Pollution aerosols may contain IN, thus increase
    the ice concentrations in clouds (e.g. Schaefer,
    1969 Changnon, 1980).
  • In some cases pollution may contaminate the IN
    and reduce their ability to form ice (e.g. Braham
    and Spyers-Duran, 1974).

12
  • The effects of pollution on the amount of
    precipitation on the ground

13
Orographic precipitation
  • Both analysis of past data and modeling studies
    suggest that in these clouds pollution could
    modify precipitation amounts owing to
  • the modest liquid water contents in them.
  • the relatively short time the drops and ice
    crystals spend in the clouds.
  • The temporal and spacial persistence of the
    clouds.

14
Pollution reducing snow from orographic clouds
The smaller cloud drops in a polluted atmosphere
reduce the riming efficiency, leading to slower
growth of the ice crystals and to lower
precipitation.
Borys et al, 2003
15
Simulations of wintertime orographic clouds by
Saleeby and Cotton (2005) revealed
  • At higher concentrations of CCN, the average
    cloud droplet size decreases.
  • Smaller supercooled droplets more readily
    evaporate in the presence of a strong Bergeron
    process.
  • LWC is reduced at higher CCN concentrations.
  • Thus at high CCN concentrations not only is
    riming reduced by lower collection efficiencies
    for smaller droplets but so is LWC, further
    reducing riming and precipitation.

16
Storm Peak Lab basic concepts
  • Pollution aerosols impact total snow water
    equivalent (SWE) if an orographic cloud is
    present. Otherwise hygroscopic CCN are generally
    less effective in cold cloud processes.
  • 2. Snow falling thru an orographic cloud
    undergoes a seeder-feeder riming process in which
    crystals pick up extra water mass as they fall
    through the orographic cloud before reaching the
    surface.
  • 3. If CCN are added to the orographic cloud, the
    droplet number concentration increases, the mean
    droplet size decreases, the riming collection
    efficiency then decreases, and the total rimed
    mass decreases thus leaving us with less SWE at
    the surface.

Heavy Rime Event
Cloud LWC up to 0.7 g/m3
17
Winter Simulations Grid Configuration
18
Total Precipitation Change Due to Increased
Pollution Aerosols
  • An increase in CCN leads to reduced precip along
    the windward slope
  • and highest plateau, and increased snowfall to
    the lee of the Divide.
  • 2. A reduction in riming decreases the average
    snow crystal size and fall
  • speed, thus, leading to a blow-over advection
    effect that shifts the snowfall
  • spatial distribution. (Hindman et al. 1986)

GCCN 10-5 IFN Meyers Nucleation
19
Aerosol Impacts on
orographic clouds a. Increasing the CCN
concentration alters the orographic cloud by
increasing droplet number and reducing droplet
size. b. Reduced riming efficiency leads
to a reduction in snow growth and graupel
formation within the orographic cloud. c.
Smaller, slower falling crystals tend to deposit
further downstream to the lee of the mountain
crest.
20
Other Observations
  • Givati and Rosenfeld (2004), Jirak and Cotton
    (2006) and Rosenfeld et al. (2006) have analyzed
    orographic precipitation data upwind and downwind
    of major urban areas vs. relatively cleans areas
    and found as much as 30 reductions, presumably
    due to pollution aerosols.
  • However, independent re-analysis of the results
    in Israel (Levin et al., 2007) indicates no clear
    effects of aerosol pollution on these types of
    clouds in Israel.

21
Pollution impact on Boundary Layer Clouds
22
  • Albrecht (1989) hypothesized that the higher
    droplet concentrations in clouds would reduce the
    rate of formation of drizzle drops by collision
    and coalescence. The reduced rate of drizzle
    formation would result in higher liquid water
    contents and higher droplet concentrations and
    lead to longer-lived clouds which by increasing
    cloud cover would lead to further enhance the
    albedo of those clouds.
  • But, this is not the whole story!

23
Drizzle can have complicated impacts on the
marine BL
  • Drizzle falling only partway through the
    sub-cloud layer can destabilize the BL leading to
    cumulus under stratus.
  • Drizzle falling through the entire sub-cloud
    layer can cool and stabilize the entire BL and
    lead to decoupling of the stratus layer from the
    surface.

24
  • In Jiang et al's. (2002) LES of marine
    stratocumulus, higher CCN concentrations
    suppressed drizzle which resulted in a more
    stable boundary layer, weaker penetrating cumulus
    and an overall reduction in the water content of
    the clouds. Thus cloud albedo was very little
    influenced by the increase in CCN concentrations.

25
Additional studies
  • Ackerman et al. (2004) also showed that increases
    in CCN do not necessarily result in increases in
    LWP in stratocumulus clouds. A primary factor
    affecting the LWP response to aerosol changes is
    the profile of humidity above the inversion. Only
    when the humidity above the inversion was high
    did increases in aerosol result in an increase in
    LWP. When dry air overlies the inversion,
    increases in aerosol tend to decrease LWP because
    of enhanced entrainment drying. Similar results
    were obtained by Lu and Seinfeld (2005).

26
Aerosol Influences on entrainment in cu
  • Another example of departures from the Albrecht
    hypothesis is Xue and Feingolds(2006) and Jiang
    et al.s(2006) simulations of aerosol influences
    on cumulus.
  • They found that increasing concentrations of CCN
    and droplets, produced smaller droplets and
    suppressed drizzle and led to enhanced
    evaporation of droplets by entrainment.
  • Because, for a given LWC, smaller droplets
    evaporate more readily than larger droplets,
    entrainment induced evaporative cooling was
    enhanced when CCN concentrations were high, which
    led to greater entrainment rates, reduced cloud
    fraction, cloud size, and cloud depth.

27
  • These simulations highlight the nonlinearity of
    cloud systems when drizzle is present and
    suggests that increased concentrations of CCN may
    not always increase cloud water contents, cloud
    lifetimes, and cloud albedo.

28
Aerosol Pollution Impacts on Deep Convective
Clouds and Precipitation
29
  • Seifert and Beheng 2006b showed that the effect
    of changes in CCN on mixed phase convective
    clouds is quite dependent on cloud type.
  • They found that for small convective storms, an
    increase in CCN decreases precipitation and the
    maximum updraft velocities.
  • For multicellular storms, the increase in CCN has
    the opposite effect namely, promoting secondary
    convection, and increasing maximum updrafts and
    total precipitation. Supercell storms were the
    least sensitive to CCN.
  • Their study also showed that the most important
    pathway for feedbacks from microphysics to
    dynamics is via the release of latent heat of
    freezing.

30
  • Other modeling efforts by Lynn et al. 2005a,b,
    Khain et al. 2005, van den Heever et al.
    2006, van den Heever and Cotton 2007 show
    complex dynamical responses to aerosols sometimes
    leading to greater precipitation amounts and
    other times less

31
Possible causes increase in latent heat release
due to the formation of ice in the upper portions
of clouds invigorated by freezing of greater
amounts of supercooled in polluted clouds and by
enhanced evaporation below clouds (cold pool)
leading to the formation of neighboring clouds.
32
  • Van den Heever and Cottons (2007) mesoscale
    simulations suggest that in some cases the cold
    pools may interact favorably with mesoscale
    simulations like sea breeze convergence zones and
    urban heat island convergence zones and in other
    cases the cold pools may propagate away from the
    parent mesoscale forcing leading to a decrease
    in precipitation.

33
RURAL
CCN-L
GCCN-L
URBAN
34
Effects of biomass burning on precipitation
  • Early measurements not conclusive as to the
    relative effects of pollution as compared to the
    effects of changes in meteorological conditions.
  • Recent measurements in the Amazon -- smoke from
    fires decreased cloud drop size, but formed
    taller clouds possibly with more ice and hail.
  • Note widespread smoke plumes will inhibit cloud
    formation by
  • (a) reducing surface radiation and thus
    reducing sensible and latent heat fluxes, and (b)
    stabilizing the atmosphere
  • Integrated over the whole area affected by smoke
    -- rainfall actually increased

35
Urban precipitation-METROMEX
  • The METROMEX experiment (in the 1970s) examined
    the effects of urban pollution on SUMMER rainfall
    around the city of St. Louis.
  • Although, the cloud drops were more numerous and
    smaller, suggesting that rainfall should
    decrease, an increase was observed.
  • However, greater concentrations of GCCN were
    observed.

36
Urban impact on precipitation
Five year moving averages and time trend of
Centerville (downwind of St. Louis) summer
rainfall, 1941-1968. From Changnon et al. (1971).
37
Van den Heever and Cottons (2007) simulations
38
Experiment Design
  • In the CONTROL experiment, RAMS is initialized
    homogeneously with rural CCN and GCCN
    concentrations.
  • In the sensitivity tests, a continuous source of
    urban CCN and / or GCCN concentrations are used
    within the lowest 500m over the urban region. The
    sensitivity tests are otherwise identical to the
    CONTROL experiment.
  • These experiments were repeated in which the
    urban region was removed while the aerosol
    characteristics were maintained.

39
AEROSOL CONCENTRATIONS
  • High background
  • Rural CCN 1200 cc-1 GCCN 0.1 cc-1
  • Urban CCN 2000 cc-1 GCCN 0.2 cc-1
  • Low background
  • Rural CCN 800 cc-1 GCCN 0.01 cc-1
  • Urban CCN 2000 cc-1 GCCN 0.2 cc-1

40
Downwind Precipitation Low Background
Concentrations
41
Accumulated Volumetric Precipitation (acre-feet)
for entire Grid 3
42
The re-distribution of precipitation is
consistent with observations in St. Louis,
Atlanta and in a few other urban regions.
43
van den Heever and Cottons simulations indicate
  • Urban land-use (i.e. Urban heat island) has the
    dominate influence on precipitation.
  • Aerosol influences are important but the strength
    of the aerosol signal depends on pollution levels
    in the surrounding regions.
  • That is highly polluted background aerosols can
    mask the urban influence.

44
Global effects
  • Thus far we discussed the effects of pollution on
    local and regional scales. In this analysis we
    implicitly assume that the global climate remains
    unchanged.
  • The effects of aerosol pollution could therefore,
    mostly modify the average regional, temporal and
    spatial distributions of rain.
  • If global climate changes in response to aerosols
    the availability of water vapor can also change.

45
Global effects of pollution on precipitation
  • GCM-- estimates 0 to - 4.5 change in global mean
    precipitation over the last 100 years due to the
    direct and indirect aerosol effects.
  • The differences among models over land range from
    -1.5 to -8.5.

46
GCM combined with Ocean models show that
  • Increased direct indirect effects of aerosols
    reduces the incoming radiation, thus cooling the
    surface.
  • This slows down the hydrological cycle which
    reduces the atmospheric water vapor (a greenhouse
    gas) and acts to counter greenhouse gas warming.

47
The potential influence of aerosols on climate
could be far more significant than previously
thought.
  • Estimating the consequences of combining
    greenhouse gas warming and aerosol cooling in the
    future, depends on
  • Uncertain estimates of future pollution
    emissions.
  • Greenhouse gas releases into the atmosphere.
  • The ability of the models to correctly describe
    the atmospheric processes.

48
Summary
  • Both observations and modeling studies show that
    pollution aerosols increase cloud drop
    concentrations and reduce average drop size.
  • The effects on precipitation on the ground are
    much more difficult to quantify due to the fact
    that once the precipitation process is altered,
    the dynamics of clouds and mesoscale systems is
    also altered in a nonlinear way. Thus the effects
    of aerosols on precipitation become much less
    predictable.

49
  • Precipitation in an Urban environment
  • Observations
  • Precipitation downwind from urban areas is
    affected in a complex way by urban effects
    including pollution Both increases and no
    detectable effects were reported.
  • Model simulations tell us
  • The most important factors are the urban land-use
    effects which modify the dynamics of the storms
    downwind of the city and affect the spatial and
    temporal distributions of rain.
  • The effects on precipitation due to increased
    pollution depend on the background aerosols,
    their size and composition and the interactions
    of secondary convection via cold pools with urban
    land-use driven circulations.
  • The aerosol effect is easier to identify in a
    cleaner environment.

50
  • Orographic precipitation
  • The biggest potential effect of pollution on
    precipitation is found in orographic clouds.
  • Measurements and simulations of snowfall over
    mountains show a reduction precipitation due to
    pollution.
  • These measurements and simulations need to be
    expanded to evaluate pollution aerosol impacts on
    precipitation over large basins like the Colorado
    River Basin.

51
Global precipitation
  • GCMs show precipitation reduction due to
    increased pollution. Greater suppression in the
    Northern Hemisphere and over land.
  • The high variability in precipitation amounts
    from GCMs stresses the need to improve
    representation of aerosol and cloud processes.

52
Recommendations
  • Implement a series of international projects
    targeted toward unraveling the complex
    interactions among aerosols, clouds, and
    precipitation.
  • WMO/IUGG should take the lead in such projects
    together with other UN and International
    Organizations. 
  • Some of these could be sponsored and financially
    supported by the countries involved. For example
  • Study the effects of an evolving industrial
    economy such as China on precipitation.
  • Study the effects of biomass burning and dust in
    some of the African regions.

53
The WMO/IUGG can play a key coordination role in
encouraging that the following recommendations
are implemented.
  • 1) Better characterization of aerosols
  • Emission inventories
  • Size, number concentrations
  • Chemical processes, physical properties and
    instrumentation
  • Accurate knowledge of the chemical processes
    leading from gas pollution to CCN
  • The ability of different types of particles (e.g.
    mineral dust, biomass smoke, biogenic,
    carbonaceous) to act as CCN, GCCN, and IN as a
    function of aerosol size, origin, and air mass
    history.

54
  • Develop new and innovative instruments and
    measurements to determine CCN, GCCN and IN
    concentrations as a function of particle size,
    composition and supersaturation.
  • Emphasis should be placed on understanding the
    different modes of ice nucleation.
  • Global coordination of observational networks is
    needed for more complete coverage of global
    aerosols (ground-based remote sensing methods
    e.g. AERONET) .
  • More accurate assessment is needed from
    satellites of the aerosol distribution,
    concentration and properties.

55
  • 2) The effects on clouds and precipitation
  • Design experiments to better understand the role
    of ice in precipitation development
  • Multi-year measurements from space of
    precipitation patterns along with retrievals of
    cloud nucleating aerosols are needed to assess
    both regional and global impacts of aerosol
    pollution on precipitation.
  • Improved satellite measurements of Liquid Water
    path (LWP) and Ice Water Path (IWP), which define
    the potential for precipitation with pollution
    modulating how much will reach the ground.

56
  • New methods are needed to estimate precipitation
    amounts with high enough accuracy to be able to
    resolve changes due to pollution.

57
  • Models should be used to provide a quantitative
    answer as to the relative effects of aerosols
    versus environmental parameters (temperature,
    Relative humidity, wind shear, land-surface
    properties, etc.) on precipitation.

58
  • The high variability in precipitation amounts
    from GCMs stresses the need to improve
    representation of aerosol and cloud processes to
    be able to answer with some confidence the
    question on the effects of pollution on
    precipitation.
  • Detailed knowledge of ice formation in clouds is
    still lacking, requiring more laboratory,
    modeling, and field studies.
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