1 / 11

Generating NADP Deposition Maps via Cokriging Techniques

This paper explores the methodology of cokriging to generate deposition maps for NADP data, utilizing additional information from the more densely sampled NWS data to improve interpolation in areas with sparse NADP observations. By leveraging correlations between the primary variable (Z1) such as ammonium and sulfate with autocorrelation and cross-correlations, this method enhances predictive accuracy. The study includes data quality assessments, trend removals, and outlines future directions for data interpolation procedures and possible collaboration with geostatistics experts.

etana
Télécharger la présentation

Generating NADP Deposition Maps via Cokriging Techniques

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Generating NADP Deposition Maps using Cokriging Chris Lehmann & Bob Larson* Data Management and Analysis Subommittee April 2007

  2. Cokriging • Cokriging uses information from multiple variables. The main variable (Z1), and both autocorrelation with Z1 and cross-correlations between Z1 and other variables are used to make predictions • If you have a sparse network of data (i.e., NADP sites) and a more dense network of data (i.e., NWS sites), co-kriging uses data from more dense network to aid interpolation of sparse nework.

  3. What we tried • Obtained NWS cooperative network from Midwest Regional Climate Center (MRCC) • Quality-assured for completeness • Removed outlier • Cokrigged ammonium and sulfate against NWS data • ESRI ArcView 9.1 Geostatistical Analyst Wizard • CAVEAT: Neither Bob nor I are geostatisticians.

  4. Ammonium Kriging with 3rd Order Trend Removal

  5. Ammonium Cokriging with 3rd Order Trend Removal

  6. Sulfate Cokriging with 3rd Order Trend Removal

  7. Discussion… • Develop whitepaper on possible data interpolation procedures, their assumptions, and pro/cons? • Find a real geostatistician?

More Related