A prognostic pollen emissions model for climate models (PECM1.0)

Wozniak, Matthew C.; Steiner, Allison L.

doi:https://doi.org/10.5194/gmd-10-4105-2017

Articles | Volume 10, issue 11

https://doi.org/10.5194/gmd-10-4105-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-10-4105-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 10, issue 11

Development and technical paper

|

13 Nov 2017

Development and technical paper |

| 13 Nov 2017

A prognostic pollen emissions model for climate models (PECM1.0)

Matthew C. Wozniak and Allison L. Steiner

Supplement

https://doi.org/10.5194/gmd-10-4105-2017-supplement

Data sets

CRU TS4.00: Climatic Research Unit (CRU) Time-Series (TS) version 4.00 of high-resolution gridded data of month-by-month variation in climate (Jan. 1901- Dec. 2015) I. C. Harris and P. D. Jones https://doi.org/10.5285/edf8febfdaad48abb2cbaf7d7e846a86

Gridded meteorological data DayMet https://daymet.ornl.gov/

Gridded meteorological dataset Ed Maurer http://www.engr.scu.edu/~emaurer/gridded_obs/index_gridded_obs.html

Short summary

A new parameterization, Pollen Emissions for Climate Models (PECM), has been developed for use in climate models. New developments include (1) a new climate-sensitive, observation-based phenological model, (2) inclusion of the 13 highest-pollinating taxa in the United States, and (3) an option to compute pollen emissions by plant functional type (PFT). It can be used to address topics like impacts of climate change (e.g., on allergen exposure, on plant ecology) or pollen as an atmospheric aerosol.