HDR Atmospheric Sciences Sep 16, 2009 John Henz, C.C.M., SPA Atmospheric Science Practice Leader HDR Engineering, Inc Denver Colorado.

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Presentation transcript:

HDR Atmospheric Sciences Sep 16, 2009 John Henz, C.C.M., SPA Atmospheric Science Practice Leader HDR Engineering, Inc Denver Colorado

 BS, Meteorology, U Wisc.  4 yrs in Air Weather Service  MS, Atmospheric Science, Colorado State Uni.  CCM #270  Geophysical R&D Corp /GRD Weather Center (1972 – 1982)  Henz Kelly & Associates (HKA, )  Henz Meteorological Services (HMS, )  HDR Engineering, Inc of Omaha NE purchased HMS Nov  HDR is a top twenty Architect & Engineering firm with over 5,800 owner-employees in 42 states and over 150 offices. > $1B in 2008 revenue.  Nat. Tech Advisor, Hydro-Meteorology and Atmospheric Science Practice Leader

Climate Change

 Bay Delta CCP EIS/EIR: Climate Change Task Leader  Salina River Climate Change/Water Supply  CWCB Colorado River Basin Climate Study  North Carolina Hurricane/drought Climate Study  Flathead Reservoir Drought Management Plan and EIS  South Boulder Creek Floodplain Delineation Project – Climate task

 1970’s: Little Ice Age very likely by Running out of oil; shift to solar and nuclear.  1980’s : El Nino’s impacts “re-discovered”. Air Quality impacts become Clean Air Acts.  1990’s: Hydro-climate indices developed to reflect PDO, ENSO, NAO, AMO and related to water resource/climate fluctuations.  2000’s: Global warming, IPCC and GCM modeling

A change in perspective Was needed Southern Cross North Star

 Selecting a random or preferred 20-30years of data won’t reflect the dynamic aspect of climate. Stationarity Is Dead: Whither Water Management? P. C. D. Milly, et al, SCIENCE VOL FEBRUARY 2008

Old way

 Selecting a random or preferred 20-30years of data won’t reflect the dynamic aspect of climate.  Need to define climate impact on the distribution of your observations.  Consider the impact on your projected project: - are you entering a 25 year period of record that may favor either above or below average values? - What is life cycle of the project? A Water year? Decades?  Can use this projection to assist in planning your project. Stationarity Is Dead: Whither Water Management? P. C. D. Milly, et al, SCIENCE VOL FEBRUARY 2008

A change in perspective is needed Static Climatology Dynamic Climatology

 Water Supply Planning and Prediction Use of Hydro-climate Indices (HCI) Physical Cause-Effect Partitioning (PCEP) Historical Records: Update Design Standards Paleo-Climatological Records  Climate Change Impact Assessment Cyclical-Trending Analyses (CTA) GCM Model Output Scenario Modeling GCM-Downscaling Gridded Output using Statistical or Dynamic Methods  And “your” ASG meteorologists!!!!!

1. Global Circulation Model  Macro-level view of the world’s atmosphere  Balances land, air, and water dynamics and then statistically relates changes in the weather  Measured from the earth’s surface to the top of the atmosphere 2. Natural Variability  Observed interactions between the ocean and the air (using hydro-climate indices)  Indicates whether precipitation levels are above or below normal 3. Trend Analysis  Climate has decadal patterns that trend warmer during certain cycles and colder in others  Critical to understand which trending pattern we are when making long- term predictions Client Outcomes

 Update design data base.  Consider HCI trends.  Adapt IPA design  GCM scenarios  Down-scaled statistical or dynamical  NV trend analyses 0-30 years years years Paleo-trend analyses Natural variability (NV) trend analyses Consider GCM Planned life cycle of infra-structure

Private sector: client- problem interface Providing solutions to climate change Government sector: data and information Academic sector: Training and research

1. Understand what resources HDR has to offer in this arena 2. Understand what the critical issues are and our typical approaches to solutions 3. Partner with the other sectors to educate clients and deliver the right solutions This presentation focuses on providing a base level of knowledge on key client drivers and our typical solutions. As you sell these services to your clients, engage the Atmospheric Sciences staff early in discussions to that we can help deliver the right solution. This presentation focuses on providing a base level of knowledge on key client drivers and our typical solutions. As you sell these services to your clients, engage the Atmospheric Sciences staff early in discussions to that we can help deliver the right solution.

1. Educating engineers and clients on climate change, mitigation and adaptation options 2. Enhance interactions with NOAA (RISA proposal) and academic communities 3. Enhance our existing climate services toolbox

QUESTIONS – check it out!