Global-warming reverse-impact: observed summer-daytime coastal-cooling in coastal California air-basins R. Bornstein, San Jose State University

Slides:



Advertisements
Similar presentations
1 Preliminary Simulation of the Regional Coupled Atmosphere-Ocean Model in the Southern California Coastal Regions (Santa Ana Winds and Air-Sea Interaction)
Advertisements

Heather Simon, Adam Reff, Benjamin Wells, Neil Frank Office of Air Quality Planning and Standards, US EPA Ozone Trends Across the United States over a.
Literature Review Kathryn Westerman Oliver Smith Enrique Hernandez Megan Fowler.
Intense Spring Sea Breezes Along the New York - New Jersey Coast Stanley David Gedzelman and Kwan-Yin Kong EAS Department and NOAA CREST Center City College.
Updates on NOAA MM5 Assessment Where we left off Buoy assessment Temperature problems Solar radiation assessment Z T simulation Analysis nudging Where.
The sea/land-breeze circulation Part I: Development w/o Earth rotation.
Increased Atlantic Hurricane Frequency, a Synthesis of Two Interpretations Trent Ford Hydrology: GEO 361February 23, 2011.
Heat Waves in Mediterranean climate regimes: focus on California Alexander Gershunov Climate, Atmospheric Science and Physical Oceanography (CASPO) Scripps.
© Crown copyright Met Office Regional/local climate projections: present ability and future plans Research funded by Richard Jones: WCRP workshop on regional.
MM5 SIMMULATIONS OF SFBA TO SAC/SJV TRANSPORT DURING 30 JULY- 2 AUG 2000 CCOS OZONE EPISODE by Robert D. Bornstein: SJSU Tesfamichael.
CLIMA EN ESPAÑA: PASADO, PRESENTE Y FUTURO Contribución a un Informe de Evaluación del Cambio Climático Regional Febrero 2009 Presentación: Salat.
Nidal Salim, Walter Wildi Institute F.-A. Forel, University of Geneva, Switzerland Impact of global climate change on water resources in the Israeli, Jordanian.
April 23, 2009 Geography 414 Group 3 1 Boone, NC Laura Beth Adams- Average Temperature Alec Hoffman – Daily Temperature Range Jill Simmerman- Maximum Temperature.
3. Climate Change 3.1 Observations 3.2 Theory of Climate Change 3.3 Climate Change Prediction 3.4 The IPCC Process.
Middle-East Air-Pollutant Climatology by J. SAFI 0, M. Abu-Kubieh 0, K. Rishmawi #, S. Kasakseh* # M. Luria +, E. Weinroth + *, E. Tas +, V. Matziev +,
Observational and Modeling Study of Urbanization vs. Global Warming Impacts on SoCAB and SFBA Climate Bereket Lebassi Habtezion Ph.D. Candidate Prof. Jorge.
Land And Sea Breezes Marine Layer Advection & Radiation Fog.
1 Observations of Cooling Summer Daytime Temperatures ( ) in Growing Urban Coastal California Air Basins Prof. Robert Bornstein Dept. of Meteorology,
Middle-East Air-Pollutant Climatology by J. SAFI 0, M. Abu-Kubieh 0, K. Rishmawi #, S. Kasakseh* # M. Luria +, E. Weinroth + *, E. Tas +, V. Matziev +,
Simulations of ozone over Israel, West Bank, and Jordan E. Weinroth, M. Luria, A. Ben-Nun, C. Emery, J. Kaplan, M. Peleg and Y. Mahrer Seagram Center for.
Use of urbanized meso-met models for air quality applications for Houston R. Bornstein, H. Taha, R. Balmori San Jose State University San Jose, CA
Summer fog variability in the coast redwood region: climatic relevance and ecological implications James A. Johnstone Department of Environmental Science,
Observational and Modeling Study of Urbanization vs. Global Warming Impacts on SoCAB and SFBA Climate Bereket Lebassi Habtezion Ph.D. Candidate Department.
Impacts from urban & rural surface modifications on meteorology and air quality in Houston: preliminary results Haider Taha Altostratus.
1 Cooling summer daytime temperatures in two urban coastal CA air basins during : observations and implications Prof. Robert Bornstein Dept. of.
NYU/NYC STUDY 10 IOPs – FIVE DAYS EACH (DAY AND NIGHT) – ALL SEASONS 80 SFC WIND SITES  HOURLY FLOW CHARTS PIBALS: – 1- 4 THEODOLITES FOLLOWING 1OR 2.
1 Cooling Summer Daytime Temperatures in Coastal California During : Observations and Implications for Energy Demand Prof. Robert Bornstein, Dept.
Lecture 12 Regional climate change: The Arctic and California.
Robert Bornstein Jamie Favors, James Thomas, Allison Charland, Shawn Padrick Department of Meteorology and Climate Science San Jose State University 4.
Anthropogenic effects on urban and coastal climates R. Bornstein and co-workers San Jose State University Presented at Stanford University.
Preliminary Results California Max. and Min. Temperature Trends from Northern and Southern California Max. and Min. Temperature Trends from.
What is Climate? The long term average of weather, usually 30 years+
Transboundary influences on US background ozone Huiqun Wang 1 Philippe Le Sager 2 Rokjin Park 3
Cluster Analysis of Air Quality Data for CCOS Study Domain Scott Beaver Ahmet Palazoglu, P.I. University of California, Davis Dept. Chemical Engineering.
Modeling study of the coastal upwelling system of the Monterey Bay area during 1999 and I. Shulman (1), J.D. Paduan (2), L. K. Rosenfeld (2), S.
MESOSCALE MODELING FOR AIR QUALITY FORECASTING by ROBERT D. BORNSTEIN DEPT. OF METEOROLOGY SAN JOSE STATE UNIVERSITY SAN JOSE, CA USA
Drivers of multidecadal variability in JJA ozone concentrations in the eastern United States Lu Shen, Loretta J. Mickley School of Engineering and Applied.
Characteristics of Extreme Events in Korea: Observations and Projections Won-Tae Kwon Hee-Jeong Baek, Hyo-Shin Lee and Yu-Kyung Hyun National Institute.
1. Objectives Impacts of Land Use Changes on California’s Climate Hideki Kanamaru Masao Kanamitsu Experimental Climate Prediction.
UMM5 simulations of urban-reforestation effects on Houston UHIs for ozone-SIP emission-reduction credits R. Bornstein, H. Taha, R. Balmori San Jose State.
Objective: To know that California’s climate is primarily Mediterranean and Highland.
10/28/2014 Xiangshang Li, Yunsoo Choi, Beata Czader Earth and Atmospheric Sciences University of Houston The impact of the observational meteorological.
Climate of North America 101 What are the major controls on North American climate? What is the dominant flow pattern across North America in winter? How.
The Response of Land Surface Temperatures To Changing Ocean Temperature Gradients Amritpal Bharth, The Bronx High School of Science Alexandra Greenbaum,
| Folie 1 Assessment of Representativeness of Air Quality Monitoring Stations Geneva, Wolfgang Spangl.
1 Liming Zhou Georgia Institute of Technology (National Science Foundation) CTB Seminar Series at NASA May 25, 2011 Asymmetric Global Warming: Day vs.
BLOWIN' IN THE WIND.
1Climate Change and Disaster Risk Science and impacts Session 1 World Bank Institute Maarten van Aalst.
BP23 Prediction of Summer Stratus in San Francisco Bay Aided by Low-Level HYSPLIT Trajectories Gary P. Ellrod EWxC, LLC, Granby, CT 1. Introduction Author’s.
Risk Factor: Mid-Century Warming in the LA Region (Climate Change/Temperature)
May 22, UNDERSTANDING THE EFFECTIVENESS OF PRECURSOR REDUCTIONS IN LOWERING 8-HOUR OZONE CONCENTRATIONS Steve Reynolds Charles Blanchard Envair 12.
Application of the urbanized MM5 to the Houston-Galveston region by R. Bornstein*, H. Taha, R. Balmori, SJSU S. Dupont, J. Ching, RTP/EPA/NOAA A. Martilli,
Earth-Sun System Division National Aeronautics and Space Administration WRF and the coastal marine environment Kate LaCasse SOO/SPoRT Workshop 11 July.
How much water will be available in the upper Colorado River Basin under projected climatic changes? Abstract The upper Colorado River Basin (UCRB), is.
Climate Change and Water Supply: Potential Hydrologic Consequences Guido Franco Technical Lead for Climate Change Research Public Interest Energy Research.
Effects of trends in anthropogenic aerosols on drought risk in the Central United States Dan H. Cusworth Eric M. Leibensperger, Loretta J. Mickley Corn.
SST and vegetation in modulating the diurnal cycle forcing of convection during the warm season Michael Douglas, NSSL Co-PI’s: Christopher Watts, Univ.
CCOS TC Kickoff Meeting Cluster Analysis for CCOS Domain Ahmet Palazoglu (P.I.) Scott Beaver Swathi Pakalapati University of California, Davis Department.
Climate and Global Change Notes 17-1 Earth’s Radiation & Energy Budget Resulting Seasonal and Daily Temperature Variations Vertical Temperature Variation.
1 Emission and Air Quality Trends Review Western States July 2013.
Impact of Temporal Fluctuations in Power Plant Emissions on Air Quality Forecasts Prakash Doraiswamy 1, Christian Hogrefe 1,2, Eric Zalewsky 2, Winston.
Atmospheric Chemistry and Transport Science Questions.
1 Implications of trends in the Asian monsoon for population migrations Dr. D. B. Stephenson, Dr. E. Black, Prof. J.M. Slingo Department of Meteorology,
Climate Change CENV 110. Impacts of climate change Warming Change in rainfall, and hydrology Sea Level Rise Ocean Acidification Extreme events (cyclones,
CHAPTER 4 CLIMATE AND CLIMATE CHANGE. 4.1 CLIMATE IS A LONG TERM WEATHER PATTERN CLIMATE IS THE CHARACTERISTIC WEATHER CONDITIONS IN A PLACE OVER A LONG.
Intensified reduction in summertime light rainfall over mountains compared with plains in Eastern China Jing Yang Dao-Yi Gong State Key Laboratory of Earth.
Atmosphere and Weather
Validation of Satellite-derived Lake Surface Temperatures
Climatology of coastal low level jets (CLLJs) over the Bohai Sea and Yellow Sea using local and spatial-pattern based techniques Hans von Storch1, Delei.
Inez Fung University of California, Berkeley April 2007
Presentation transcript:

Global-warming reverse-impact: observed summer-daytime coastal-cooling in coastal California air-basins R. Bornstein, San Jose State University B. Lebassi, J. E. González, D. Fabris, E. Maurer, Santa Clara University N. Miller, Berkeley National Laboratory Presented at UNAM 23 Feb 2007

OUTLINE Global warming Global warming Reverse impacts Reverse impacts Coastal cooling observations Coastal cooling observations –Methodology –Results South Coast Air Basin South Coast Air Basin SFBA and Central Valley SFBA and Central Valley Conclusions Conclusions –Summary –Implications FUNDING: NSF and Santa Clara University FUNDING: NSF and Santa Clara University

Global Warming Models: past & future asymmetric-warming Models: past & future asymmetric-warming (i.e., ΔT min > ΔT max ) on (i.e., ΔT min > ΔT max ) on –global scale ( deg resolution) –regional scale (10 km resolution) Global scale obs Global scale obs –for land and sea –zero-line is for a sub period –match model results –show accelerated- warming since ‘70s

California Warming: JJA Δ-T(K) California Warming: JJA Δ-T aver (K) USC Stat-downscaled global-model results USC Stat-downscaled global-model results –2-m AGL –10-km horiz-grid –warming-rates decrease towards coast Coastal SSTs Coastal SSTs –ICOADS data –2-deg horiz resolution –Warming at slower rate than at inland sites

Reverse-Impact Hypothesis INLAND WARMING  INCREASED (COAST TO INLAND) ∂(p,T)/ ∂n  INCREASED SEA BREEZE FREQ, INTENSITY, PENETRATION, & DURATION  COOLING SUMMER COASTAL T COOLING SUMMER COASTAL T max

CALIF TEMP-DATA FROM NCDC FROM NCDC 2-m VALUES 2-m VALUES DAILY T & T DAILY T MAX & T MIN 300 NWS CO-OP SITES 300 NWS CO-OP SITES

CURRENT ANALYSES CURRENT ANALYSES data used data used Annual & summer warming/ cooling trends (K/decade) for SST, T max, T min Annual & summer warming/ cooling trends (K/decade) for SST, T max, T min Spatial dist of summer Spatial dist of summer T-trends plotted T max -trends plotted (in 2 black boxes) –South Coast Air Basin –SFBA and Central Valley Summer land-sea T-grad (surrogate for p-grad) trend calculated by use of Summer land-sea T aver -grad (surrogate for p-grad) trend calculated by use of –SST: SFBA black-box and –2-m land-values: red-box

All-Calif Asymmetric-Warming: Middle curve (T min )= Middle curve (T min )= 0.27 K/decade Lower curve (T max) = Lower curve (T max) = K/decade (small-Δ b/t 2 large nos.) Top curve (SST)= Top curve (SST)= 0.24 K/decade *********** *********** Thus, from T aver & SST: Thus, from T aver & SST: Right curve (T-grad)= 0.16 K/100-km/decade  stronger sea breeze for boxes of previous slide

Significant South Coast Air Basin Topography

SCAB summer T max warming/cooling trends (K/decade)

Significant SFBA and CenValley Topography

SFBA & CenV summer T max warming/cooling trends (K/decade) -

Diurnal temperature-range (DTR) values at Diurnal temperature-range (DTR) values at daytime-warming (mainly inland) sites: 0.05 K/decade daytime-warming (mainly inland) sites: 0.05 K/decade (ignore: needs recalculation) daytime-cooling (mainly coastal) sites: K/decade daytime-cooling (mainly coastal) sites: K/decade (as Tcreased and T increased) (as T max decreased and T min increased)

Statistical Significance: (high r  low N  low significance) Statistical Significance: (high r  low N e  low significance) Parameter (all Calif) Rate (K/decade)r N e (years) Significance (%) DTR (cooling areas) DTR (warming areas) T min T max SST km dT/dx Region-Area Rate (K/decade)r N e (years) Significance (%) Coastal-SFBA Inland-SFBA Coastal-SoCAB Inland-SoCAB Coastal-Both Inland-Both

SUMMARY Expected: CA T WARMED FASTER THAN T  ASYMMETRIC WARMING Expected: CA T MIN WARMED FASTER THAN T MAX  ASYMMETRIC WARMING New: SUMMER DAYTIME CA T COOLED IN FOL- LOWING LOW-ELEVATION COASTAL AIR- BASINS New: SUMMER DAYTIME CA T MAX COOLED IN FOL- LOWING LOW-ELEVATION COASTAL AIR- BASINS –MARINE LOWLANDS –MONTEREY –SANTA CLARA VALLEY –LIVERMORE VALLEY –WESTERN HALF OF SACRAMENTO VALLEY

GOOD IMPLICATIONS AGRICULTURAL AREAS MAY NOT SHRINK AGRICULTURAL AREAS MAY NOT SHRINK e.g.: NAPA WINE AREAS MAY NOT GO EXTINCT, AS PRE- DICTED  ENERGY FOR COOLING MAY NOT INCREASE AS RAPIDLY AS POPULATION ENERGY FOR COOLING MAY NOT INCREASE AS RAPIDLY AS POPULATION LOWER HUMAN HEAT-STRESS & MORTALITY RATES LOWER HUMAN HEAT-STRESS & MORTALITY RATES

GOOD IMPLICATIONS FOR CALIF OZONE PAST DECREASES MAY BE IN-PART DUE TO JJA MAX-TEMP COOLING-TRENDS & NOT ONLY TO EMISSION REDUCTIONS, AS PREVIOUSLY THOUGHT PAST DECREASES MAY BE IN-PART DUE TO JJA MAX-TEMP COOLING-TRENDS & NOT ONLY TO EMISSION REDUCTIONS, AS PREVIOUSLY THOUGHT WHEN T DECREASES, THE FOLLOWING ALSO DECREASE: WHEN T max DECREASES, THE FOLLOWING ALSO DECREASE: – BIOGENIC PRECURSOR-EMISSIONS – PHOTOCHEM REACTION-RATES – ENERGY-USE FOR COOLING, AND THUS ANTHROPOGENIC PRECURSOR-EMISSIONS

REQUIRED ANALYSIS OF OBS & MESO MET MODELING TO EVALUATE FOLLOWING INFLUENCES DISCUSSED IN LITERATURE WARMING SSTs  weaker sea breezes WARMING SSTs  weaker sea breezes INCREASED COASTAL UPWELLING  INCREASED COASTAL UPWELLING  stronger sea breezes LAND-USE CHANGES LAND-USE CHANGES –AGRICULTURAL: INCREASED INLAND IRRIGATION  inland cooling  weaker sea-breezes –COASTAL URBANIZATION: STRONGER UHIs  stronger sea-breezes stronger sea-breezes OTHER SEA-BREEZE INFLUENCES: INCREASED OTHER SEA-BREEZE INFLUENCES: INCREASED WIND VELOCITY, STRATUS CLOUDS, & SOIL MOISTURE  coastal cooling  stronger sea breezes

WHERE TO LOOK FOR REVERSE-IMPACTS WHERE TO LOOK FOR COASTAL-COOLING WHERE TO LOOK FOR COASTAL-COOLING –GC winds in same-direction as sea-breeze –Low-elevation air-basins –Cool coastal ocean-currents –Upwelling areas i.e.: mid-lat (what lat range?) W-coast areas What other-types of reverse-impacts might exist What other-types of reverse-impacts might exist –e.g., in high-elevation areas? –Must ask the “right-questions”

THANKS! Any further questions?