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Bereket Lebassi Habtezion Ph.D. Candidate Department of Mechanical Engineering Santa Clara University Prof. Jorge Gonzalez Advisor Department of Mechanical Engineering City College Of New York Presented at Santa Clara University Dissertation defense on 9 June 2010.

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Bereket Lebassi Habtezion

Ph.D. Candidate

Department of Mechanical Engineering

Santa Clara University

Prof. Jorge Gonzalez


Department of Mechanical Engineering

City College Of New York

Presented at Santa Clara University

Dissertation defense


9 June 2010

Observational and Modeling Study of Urbanization vs. Global Warming Impacts on SoCAB and SFBA Climate


  • Background and Hypothesis

  • Observational Study

    • SFBA and SoCAB analysis

    • Impacts on Energy

  • Simulation Setup

    • Grid Configuration

    • Land Use input

    • Anthropogenic heating

  • Results & Validation

    • GHG impacts

    • Urbanization impacts

  • Conclusion

  • Motivation 1 ghg global warming
    Motivation 1: GHG Global-Warming

    • Earth has warmed approximately 0.2 oC/decade for past 30 years, with max

    • warming after 1970

    • Land temps has warmed faster than SSTs

    From NASA RESEARCH NEWS (2006), group led by James Hansen, GISS, NYC

    Motivation 2 interaction of coastal climate influences
    Motivation 2: Interaction of coastal climate influences

    • Global

      • Sea surface temps (SSTs)

      • Ocean currents

      • General Circulation (GC) pressure systems

    • Mesoscale

      • Sea/land breezes

      • Mt/valley breezes

      • Ocean upwelling

      • Land-use &/or Land-cover (LULC) changes

      • Urban heat islands (UHIs)

    Earlier studies have related climate change to increased ca studies modeling studies in yellow
    Earlier studies have related climate-change to increased (*=CA studies; modeling studies in yellow):

    • SSTs, evap rate: *Goodridge ‘91, Karl et al. ‘93

    • Cloud cover changes: *Nemani et al. ’01

    • Upwelling: *Bakun ‘90,*Snyder et al. ‘03; McGregor et al. ‘07

    • Anthropogenic land cover conversions:Pielke et al. ’07,

      Chase et al. ‘00; Mintz ‘84; Zhang ‘97

    • Irrigation: *Christy et al. ’06, Lobell et al. ’06, *Kueppers et al. ’07, *Bonfils et al. ’07

    • GHGs: *Duffy et al. ’06, Walters et al. ’07, Cayan et al. ‘08

    • UHIs: Ladochy et al. ’07

    Research questions: the relative contributions to observed temperature-trends in coastal-urban areas from GHG-warming &/or LCLU-changes?

    • 1. In urban coastal regions, what temperature-change is due to each of the following:

      • GHG-induced global climate-change

      • urbanization (i.e., LULC-changes)

    • 2. How do these temperature-changes influence coastal-flows

    Current Hypothesis: Observed Calif temp trends resulted from temperature-trends in

    • GHG WARMING/LULC and/or



      • (COAST TO INLAND)




    DATA temperature-trends in

    • NCDC DAILY MAX & MIN 2-METER TEMPS FROM 273 CALIF SITES (see map below) FROM 1948-2005





    ANALYSES temperature-trends in

    • Only data from 1970-2005 (due to its accelerated warming) were used

    • Annual & summer (JJA) warming/cooling trends calculated (0C/decade) for SST, Tmax, Tmin

    • Spatial distributions of JJA Tmax trends plotted for

      • South Coast Air Basin (SoCAB)

      • SFBA and Central Valley (CV)

    • JJA land-sea T-gradient (as surrogate for

      p-gradient) trends calculated from

      • mean monthly SSTs

      • 2-m land Tmax values

    SCU (Maurer 2007) statistically 10-km downscaled 1950-2000 modeled JJA temps (0C) show total warming rates that decrease to coast (dots are Calif NCDC sites & boxes are study sub-areas)

    Result 1: Lebassi et al. (2009) J. of Climate modeled JJA temps (

    Observed 1970-2005 CA JJA max-Temp (0C/decade)trends in SFBA & SoCAB show concurrent:

    > low-elev coastal-cooling & > high elev & inland-warming

    > signif levels: solid circles >99% & open circles <90%)


    Results 3: Temp. trends for all of California modeled JJA temps (

    Tmin (Curve b) increasing faster than Tmax (Curve c)

    Result 4: Combined SFBA & SoCAB 1970-2005 summer trends modeled JJA temps (

    (oC decade-1) of Tmax (Curves c)

    Inland Tmaxwarming sites

    Coastal Tmaxcooling sites





    Result 5: Average JJA 1.4-deg ERA40-reanalysis SLP trends (hPa/decade) at 11 LT for 1970-2005


    • As Temp-grad is only a surrogate for p-grad,…

    • Arrow shows SLP-gradient calc. end-points

    • Plus & minus are High- & Low-pressure centers, respectively.

    • p-increases (up to 0.34 hPa decade-1) in Pacific High

    • p-decreases (up to -0.8 hPa decade-1) in Calif- Nevada thermal Low

    • p-gradient trend in next slide



    Result 6: Trend in ocean-land summer SLP-gradient (hPa/decade) at 11 LT for 1970-2005

    (hPa 100-km-1 decade-1) at 11 LT at end-points in previous slide

    Results show: p-gradient increases in both areas  increased sea breeze

    Result 7: Implications of max-Temp trend on (hPa/decade) at 11 LT for 1970-2005Calif energy-usageLebassi et. al (2010) J. of Solar Energy and Engineering

    (a) Cooling Degree Day (CDD) trend: upward due to GHG warming 

    More energy for cooling

    (b) Heating Degree Day (HDD) trend: downward due you to GHG warming 

    Less energy for heating

    Summary 1 of obs study
    SUMMARY 1: (hPa/decade) at 11 LT for 1970-2005OF OBS STUDY





      • They did not separate summer vs. winter, day vs. night, &/or inland vs. coastal

      • Therefore, their Tmax were wrong and thus their Tave & DTRs were also contaminated

    Modeling Effort (hPa/decade) at 11 LT for 1970-2005

    Introduction to

    Regional Atmospheric Modeling System (RAMS)

    Rams rans non transformed equations
    RAMS RANS (non-transformed) Equations (hPa/decade) at 11 LT for 1970-2005

    Km, h: eddy diffusivity coef. for momentum & heat.

    Momentum eqs for u, v & w




    Latent heat & RFD

    Local ∆ = Advection + p-grad + Coriolis + Turbulent Diffusion

    Thermodynamic Eq for ice-liquid water potential-temp

    Water Species (n-species, e.g. vapor, ice, snow, …)

    Sources & sinks via phase changes

    Pressure Eq (in terms of (hPa/decade) at 11 LT for 1970-2005π)





    Exner function π, for pressure

    Ideal Gas Law for density

    Poisson eq for Tv

    • In summary:

      • Prog Eqs for u, v, w, өil, rn, π′

      • Diag Eqs for π, ρ, p, Tv

    Vertical Diffusion Coef K (hPa/decade) at 11 LT for 1970-2005m,h,e via TKE (e)

    Shear Production Buoyancy Molec Dissipation

    Sm,h,e are f(Ri)

    l is mixing length

    Vertical Boundary Conditions (hPa/decade) at 11 LT for 1970-2005

    • z= H (model top) = 18.8 km

      • Rigid lid, with Rayleigh friction layer of 4 km

      • w = 0

    • z= h (SBL top) = 50 m

      • Continuity of fluxes, gradients, & profiles

    • z= 0 (sfc)

      • Sfc energy balance Eq in LEAF3

      • No slip BC: V = 0

    • z=Hs (bottom soil layer) = 1 m

      • Constant temperature from large scale model

    Sfc BC for T(t): RAMS uses LEAF-3 “big leaf” model to solve

    sfc energy balance at each sfc-type,

    e.g., for all-urban sfcs (no veg or evaporation)

    • Terms on RHS of eq (L to R):

    • ↓ solar rad absorbed at sfc

    • ↓IR rad from atm absorbed at sfc

    • ↑IR rad from sfc to atm

    • ↑IR rad from urban sfc

    • Note: rad terms come from complex rad-transfer model

    • convective heat to atm [where ( )* quantities come from SBL-Eq ]

    • ground heat to atm (where өs comes prog soil temp Eq)

    • anthro heat to atm. (specified, in slide below)

    • Finally: sum of RHS terms yields trend of building-canopy temp θu, which when added to past-value gives current-value.

    Parameter-values (needed as input in previous Eq) solve

    for different urban classes


    α Albedo

    ε Emissivity

    FV Vegetation Fraction

    HV Vegetation/building Height

    Set up of solve

    RAMS simulations of SoCAB Area

    Selected past (1966-70) & present (2001-2005) solve simulation-periods: have similar PDO- & temp-variations  large-scale variability effects are eliminated

    Note: ENSO summer-impacts are mainly in winter in study-area

    Simulation Determination solve

    • Research goal: separate-out effects of urbanization & GHG warming

      • on observed Lebassi et al. (2009) SoCAB JJA max-temp trends

      • use RAMS to simulate these changes

    • RAMS simulations

      • Runs 1 vs. 2:

        • Research question: Effects of global climate-change?

        • Run 1: current

          • urban LULC (NOAA 2002) at 30-m resolution

          • global-climate & SSTs for five JJA-periods (2001 to 2005)

        • Run 2: uses

          • Run 1 (Current 2002) LULC

          • global climate & SSTs for five past JJA-periods (1966 to 1970)

      • Runs 1 vs. 3:

        • Research question: Effects of urbanization?

        • Run 1: one-year of Run 1 (2002)

        • Run 3: pre-urban

          • LULC: all urban turned to local dominant-class, i.e., scrubland

          • over-estimate of max-urbanization effects

          • 2002 JJA global-climate & SSTs

    ICs and Large-scale BCs (FDDA) solve

    • Model initialized

      • 0000 UTC = 17 LT

      • 1 June of given year

    • 12-hr spin up: 1st night

    • Large scale BCs

      • every 6-hr

      • from gridded NCEP global-model output

    Grid Configuration solve

    • > Arakawa-C

      staggered grid

    • Horiz nested-grid


      • Grid 1: 20 km

      • Grid 2: 4 km

    • Vertical Grid

      >49 levels to 31 km

    • Δz = 40 m (near sfc)

    • 1.15 stretch-ratio

    • Δz =1.2 km (aloft)

    + solve




    • Grid 2 (4 km): present (2002) LULC-classes

      • Lines: key topographic-heights (+ = peaks)

      • Input: 30-m NOAA C-CAP LULC  RAMS’s Leaf-3 classifications

      • Output colors: dominant class; parameter values as weighed averages

        • Veg: greens

        • Urban: browns

      • Black squares: METAR stations for RAMS evaluation

    Model-Evaluation with Run-1 ( solve current met & LU) output:

    June 1-10, 2002; averages of 12 SoCAB METAR sites

    where: blue is obs & red is closest RAMS grid point

    Mean wind speeds: both at 10-m Mean temps: both at 2-m

    model =3.1 m/s vs. obs = 2.9 m/s model = 20.2oC vs. obs = 19.3oC

    Model-Evaluation (cont.) solve

    • Current-period evaluation

    • (previous slide):

      • Temp: r2 = 0. 87 (blue)

      • Speed: r2 = 0.82 (red)


    • Past-period evaluation:

      • 1970 JJA-average

      • daily-Tmax

      • average of 15 COOP-sites

      • Model (red) minus

      • Obs (blue)

      • Tmax ave-diff = 0.7oC


    • Correlation (for part-b):

      • r2 = 0. 70


    Rams results 19 m spatial patterns in following order
    RAMS Results: solve 19-m spatial-patterns in following order

    Temp- and wind-results from

    • Run 1: current climate and current urbanization

    • Run 2: past climate and current urbanization

    • Run 1 minus Run 2

    • Run 3: current climate and no-urbanization

    • Run 1 minus Run 3

    Large scale BC inputs into RAMS solve

    (next 5 slides)

    H solve






    • NCEP SLP: 17-LT JJA (5-yr Ave)

    • Orig. SLP-resolution: 2.5 deg

      • Top R: Run-2 (P); Top L: Run 1 (N)

      • Lower: Run-1 minus Run-2 (N-P)

      • Box: area of p- grad calculation

    • Results: Location of H: not much change

    • Mag: diminished over most of ocean

    • Peak-decreases: over center of H

    • Increases found: N & S of decrease area

    • Max-decrease over Mx-coast (our D-2)

    • due to expansion of Thermal- L over land





    N- P

    Present past 17 lt jja ave ncep 1000 hpa t o c

    H solve






    Present & Past 17-LT JJA-Ave NCEP 1000-hPa T(oC)

    • Area is black-box sub-area of previous slide

    • BC input to RAMS: every 6-hr for periods of Run-1(N) & Run-2 (P)

    • White boxes: D-1 & D-2

    • Both results: Hot inland (H) & Cool ocean (C)

    • Comparison: H & C centers: moved to SE

    • Changes: best seen in next slide

    Present minus past 17 lt jja ave ncep 1000 hpa t o c

    N - P solve

    N - P





    Present minus Past 17-LT JJA-Ave NCEP 1000-hPa ΔT(oC)


    • Right slide: horizontal section

    • Area is same as previous slide

    • Boxes: again D-1 & D-2

    • Dash-line: z-section for slide at right

    • Results:Inland warming (+) &

    • off-shore cooling (-) protrudes into D-2

    • Left Slide: vertical section (from Fig. on right; topo not shown)

    • Violet-line: land-area

    • Green line: D-1; White-line: D-2

    • Results:

    • Max warming: at 350-hPa or 1.6km

    • Cooling: up to 980-hPa (= 400-m)

    • Note: cooling-area is b/t coast & center of H (to West) and in the area of falling-SLP of previous slide (more below)

    Now solve


    • ICOADS BC-SST: input to RAMS

    • Box is D-2

    • RAMS-interpolated D-1: JJA 5-yr ave.

    • (constant for a given summer)

    • Top L: Run-1 (N) orig.-resolution: 1 deg

    • Top R: Run-2 (P) orig- resolution: 2 deg

    • Lower: Run-1 minus Run-2 SST(N-P)

    • Large-scale SST results:

    • NW-cooling in D-1 is a large-scale effect

    • max-warming in south

    N- P


    Rams ghg warming results next 8 slides


    12 LT solve

    14 LT

    • RAMS Run-1 (present) JJA-ave. D-1 T(oC) & V (barb = 1 m/s); Box is D-2

    • Results:

    • Cool: ocean, coastal, & Mt. areas

    • Warm: inland

    • 12 LT: SB- & upslope-flows started

    • 14 LT: Both flows: more-developed

    • 16 LT: combined SB- & upslope-

    • flows

    16 LT

    Interpretation of sea breeze wind vector differences plots
    Interpretation of solve sea-breeze wind-vector differences plots

    Acceleration case: N > P,

    so N-P is in their dir (on-shore)

    Retardation case: P > N,

    so N-P is in opposite dir (off-shore)










    N = current wind-vector (red)

    P = past wind-vector (black)

    C-P = current minus past (white)

    14 LT solve

    12 LT

    • RAMS Run-1 (present, prev. slide)

    • minus Run-2 (past) JJA-Ave D-1

    • T(oC) & V (barb=0.4 m/s); Box is D-2

    • Results:

    • Ocean warming < inland warming

    • 12 LT: coastal-cooling started; SB-change not evident in D-2

    • 14 LT: coastal-cooling fills basin N-S & SB-change still not resolved in D-2

    • 16 LT: coastal-cooling reaches max & SB starts to weaken!!

    16 LT

    • D-2 JJA-Aver solve ∆T(oC) & ∆V

    • (barb = 0.5 m s-1)

    • Results (relative to D-1):

    • More details & stronger

    • temp & flow effects

    • 12 LT: SB better defined

    • & coastal-cooling is in 2-parts

    • 14 LT: SB acceleration now visible & coastal- cooling is seen as stronger N of city

    • 16 LT: SB starts to slow offshore, but is still accelerating over city

    • Peak coastal-cooling over 35-years of about 1.0 oC matches observed trend of 0.3 oC/decade

    • Dashed-line is for subsequent z-section

    12 LT

    14 LT

    16 LT

    Two tailed stat sig values for t u v
    Two-tailed stat. sig. values for T, U, & V solve



    12 LT


    14 LT

    16 LT

    • ∆T: coastal-cooling, SST-change, & inland-warming are mostly significant at >99% (grey); less-significant (<90%, yellow) results are due to cancellation of GHG-warming by increased marine-flow cooling

    • ∆U & ∆V: Most changes also significant at 99%; less-significant areas are over ocean at 12 LT when SB change is not strong & over land at 14 LT when SB starts to weaken

    Past solve


    • z-section at 33.85 N for

    • T(oC) & (u, 100w) wind (m/s)

    • Top R Run-1 (Now): NCEP cold-area to 500-m; warmest inland; inversion top 900-m & base 50-m

    • Top L Run-2 (Past): inversion top now 750-m & inversion-base at sfc

    • Bottom R Run-1 (N) minus Run 2 (P):

    • > Present w-wind: up in cooling area & down above

    • > GHG-induced warming aloft & inland

    • > Shallow warming over ocean from SST increases

    • > NCEP-cooling over ocean & sea-breeze induced cooling over previously-warm coastal land-area (both to about 500-m)

    • z-line is eastern-edge of subsequent w-section

    N - P


    Stat sig for previous z section at 33 83 n for temp changes of domain 2
    Stat. sig. for previous z-section at 33.83 N solve for temp-changes of Domain-2

    • SST warming, cooling over ocean aloft, & coastal cooling: all significant at > 99%

    • transition zone is less significant

    • Note: topography not shown

    Now solve


    • z-section w (cm/s) at 14 LT

    • Top L: Run-1 (Now): Subsidence over ocean & up-motion max over-peaks

    • Top R: Run-2 (Past): Patten similar to Run-1, but up-motion was stronger

    • Bottom R: Run-1 minus Run-2 (N-P)

    • > Subsidence decreases (less negative, yellow) over ocean, as thermal-L expansion weakens Pacific-H

    • > The area of decreased up-motion (less positive, blue) is due to increased marine-air stability and is bisected by a narrow area of increased (yellow) up-motion, as topo-graphic-induced up-motion overcomes stability effect


    URBANIZATION RESULT (one slide): solve

    2002 JJA 12, 14 & 16 LT Run 1 (Urban) minus Run 3 (no-Urban): Temp & U (1 barb = 0.5 m/s) differ-ences (U minus no U)

    12 LT

    • Urban areas:

    • UHI-peaks at 16 LT (1.0 oC)

    • SB-retardation peaks (1.5 m/s) at 16 LT (Run-1 vector onshore & difference-vector offshore) due to urban z0-deceleration

    • Rural:

    • small inland-directed warm-air advection (0.2 oC)

    • insignificant Mt-top & over-ocean cooling (secondary-circulation effect?)

    • Costal park-insert shows SB induced-cooling w/o the retardation-effect

    14 LT

    16 LT

    T (oC)

    Summary solve

    The effects of urbanization & GHG- warming on summer sea breezes in the SoCAB were studied by

    > RAMS meso-met modeled PBL winds & temps

    > comparison of RAMS temps with observed near-sfc values

    • Increased GHGs (Run-1 vs. Run-2) resulted in

      > increased sea-breezes over the ocean & coastal plain, and thus

      > sea-breeze induced coastal-cooling over the coastal plain (whose aerial extent & magnitude matched the observations)

    • Urbanization produced and

      > UHI and a

      > reduced sea-breeze penetration (due to the large urban-z0)

    • Implications from coastal-cooling

      > Lower energy-use for cooling

      > Lower heat-stress levels

      > Lower peak O3 concentrations

      > Benefits for peak-temperature sensitive agriculture

    Other places where costal cooling might occur
    Other places where solve costal-cooling might occur

    From IPCC

    Future work
    Future work solve

    > Scientific questions

    • What are future changes in coastal cooling?

    • When and how coastal cooling stop, if ever?

    • Is there an index that can predict coastal cooling in other areas?

      > Extend observational data analysis to

    • Other months

    • Extreme values

      > Additional RAMS modeling of

    • Future GHG vs. LULC impacts

    • SFBA and other areas

      > Impact-analyses of

    • Energy use

    • Air quality

    • Heat stress


    • Lebassi, B. H, J. E. González, D. Fabris, E. Maurer, C. Milesi, and R. Bornstein, 2010: RAMS modeled differences between 1970 and 2005 summer daytime temperatures and winds in coastal Southern Cali-fornia. J. Climate (in preparation).

    • Lebassi, B. H, J. E. González, D. Fabris, E. Maurer, N. L. Miller, C. Milesi, P. Switzer, and R. Bornstein, 2009: Observed 1970-2005 cooling of summer daytime temperatures in coastal California, J. Climate, 22, 3558-3573, doi:10.1175/2008JCLI2111.1.

    • Lebassi, B., J. JE. Gonzalez, R. Bornstein, and, D. Fabris, 2009: Regional impacts in the coastal California environment from a changing climate. J. Solar Energy and Engineering (to appear in August).

    • Lebassi B., D. Fabris, J. E. Gonzalez, S. Zarantonello, S. Chiappari, N. L. Miller, and R. Bornstein, 2005: Urban heat islands in California’s Central Valley, BAMS, 1542-1543.

    Presentation and extended abstract publications
    Presentation and extended abstract publications solve

    • RAMS modeled differences between 1970 and 2005 summer day time temperatures and winds in coastal California, B. Lebassi, and JE. Gonzalez, and R. Bornstein, presented at the 34th Climate Diagnostics and Prediction Workshop, Monterey, CA, October 26-30, 2009.

    • Modelling the Impacts of Urbanization vs. Green House Gas Warming in Southern California Coasts, B. Lebassi, and J. JE. Gonzalez, and R. Bornstein, Second International Conference on Countermeasures to Urban Heat Islands, LBNL, Berkeley, California, 21-23 September, 2009.

    • Regional energy-use impacts in the coastal California environment from a changing climate, B. Lebassi, J. Gonzalez, R. Bornstein, and R. Van Buskirk, The 7th International conf on Urban Climate, Yokohama, Japan. June 29- July 3, 2009.

    • Modeling differences between 1970 and 2005 summer daytime temperatures in coastal California, B. Lebassi, J. Gonzalez, and R. Bornstein, the 7th International conf on Urban Climate, Yokohama, Japan. June 29- July 3, 2009.

    • Regional Impacts on Energy Demands from a Changing Climate in the Coastal California Environment,B. Lebassi, JE. Gonzalez, D. Fabris, and R. Bornstein, Inaugural US-EU-China Thermophysics Conf. Renewable Energy, UECTC2009-342 (Invited Paper). Beijing, China, 28-30 May, 2009.

    • Cooling summer daytime temperatures in two urban coastal California air basins during 1948-2005: observations and implications, R. Bornstein, B. Lebassi, E. Maurer, P. Switzer, and J. E. Gonzalez, presented 8th Conf. on Coastal Atmospheric and Oceanic Prediction and Processes, 89th AMS Annual Meeting, Phoenix, AZ, 10-15 January 2009.

    • Regional Impacts on Energy Demands from a Changing Climate in Coastal California Environments, 2009: J.E. Gonzalez, B. Lebassi, R. D. Bornstein, H. Taha, and R. D. Van Buskirk, presented at Eighth Conference on Coastal Atmospheric and Oceanic Prediction and Processes, 89th AMS Annual Meeting, Phoenix, AZ, 10-15 January 2009.

    • Observed and simulated California climate trends due to concurrent long-term inland-warming and coastal-cooling, B. Lebassi, and J. E. Gonzalez, R. Bornstein, and D. Fabris; presented at The 17th Joint Conference on Planned and Inadvertent Weather Modification/Weather Modification Association Annual Meeting, Westminster, CO, 20-25 April 2008.

    • RAMS simulations of a global-warming reverse-reaction: California coastal summer daytime cooling, B. Lebassi, Santa Clara University, Santa Clara, CA; and J. E. Gonzalez, D. Fabris, E. Maurer, N. L. Miller, C. Milesi, and R. Bornstein; present at 88th AMS conference, 20th Conf on Climate Variability and Change, New Orleans, LA, 20-24 January, 2008.

    • Observations of a global-warming reverse-reaction: California coastal summer daytime cooling, R. Bornstein, B. Lebassi, J. E. Gonzalez, D. Fabris, E. Maurer, N. L. Miller, and C. Milesi; present 88th AMS Conf, 20th Conf on Climate Variability and Change. New Orleans, 20-24 January, 2008.

    • Spatial and Temporal Changes in Climatological Degree-Days in California, B. Lebassi. E. Gonzalez, R. Bornstein, D. Fabris, Energy Sustainability, Long Beach, CA, 10-13 January, 2007.

    • Observed long-term California temperature-trends: coastal cooling and inland warming, 2007: B. Lebassi, J. E. Gonzles, D. Fabris, E. Maurer, R. Bornstein, and N. L. Miller; presented at 87th AMS annual Symposium, Connections Between Mesoscale Processes and Climate Variability, Santa Antonio, TX, 14-18 January, 2007.

    • Impacts of Land Use and Land Cover on Regional Summer Time Coastal Cooling and Inland Warming in Central California, 2007: Jorge E. González, B. Lebassi and R. Bornstein; presented at Seventh Conference on Coastal Atmospheric and Oceanic Prediction and Processes, San Diego California, 10-13 September, 2007.

    • Modeling urban heat islands in California central valley, B. Lebassi, J. E. González, D. Fabris, N. L. Miller, and C. Milesi; presented at 86th AMS annual Symposium, Sixth Sym on the Urban Environment, Atlanta, GA. Jan 28- Feb 3, 2006.

    • Climatology temperature mapping for California urban heat island study site selection, Lebassi Bereket, D. Fabris, J. E. Gonzalez, S. Zarantonello, S. Chiappari, N. L. Miller, and R. Bornstein. Presented at Atm Sci and Air Quality Conf., San Francisco, CA, 27-29 April, 2005.

    Thank you any questions
    Thank You! solve Any Questions?