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Story Line: Bias in data

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Presentation on theme: "Story Line: Bias in data"— Presentation transcript:

1 Story Line: Bias in data
Here is a not-so-well maintained or well sited USHCN station at Marysville

2 Tools & Data Historical Climate Network version 2 dataset (NCDC ftp area) Health of the Network web system (NCDC web site) Climate at a Glance web system (NCDC web site)

3 How Calculating ^Crafty Claude Carefully Clarified the Climate Clutter
NCDC team members: Claude Williams – scientist Sam McCown – Team Facilitator Betsy Youngman: curriculum developer Steve Carlson: Educator Mark Lackey: Notetaking coordinator

4 Simulated Temperature Series with Shifts Caused by Station Moves and Siting Changes

5 Types of Bias Location Moves Instrument Changes
Changes in Observational Practices Microclimate changes Urban Heat Island

6 Simulated Temperature Series with Shifts Caused by Station Moves and Siting Changes
Case 7 unadjusted

7 Simulated Temperature Series with Shifts Caused by Station Moves and Siting Changes

8 Reno, Nevada Example of Multiple biases at one station
Move to Airport Likely urban warming Red adjusted Black unadjusted ASOS Equip. Moves Example of Multiple biases at one station Mean annual TOB and fully adjusted (TOB+Pairwise) minimum temperatures

9 Adjusted Minimum Temperature Series at Marysville, CA

10 USHCNv2 National Average


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