Abstract:
Anthropogenic climate change has been a widely studied and often discussed
phenomenon within the context of global mean temperature. However, changes in
precipitation have not been rigorously observed or formally attributed to human influence.
Changes in precipitation due to global warming can vary quite a bit on a
local and regional level and thus can be very complicated to study. This study chose
the National Centers for Environmental Prediction and National Center for Atmospheric Research’s Reanalysis II model generated dataset and the Climate Prediction
Center’s Merged Analysis of Precipitation observational dataset to study precipitation
across the globe. Both datasets are spatially and temporally complete over the period
of 1979 - 2005.
In addition to the change in average precipitation, the change in extreme precipitation
events was also examined in order to try and better understand the
changes occurring to the distribution of precipitation events. The study found that
the NCEP Reanalysis II dataset had troubles resolving the fine spatial scale necessary
to model the physics of precipitation while the CMAP dataset had troubles accurately
resolving precipitation totals on small time scales. Both had difficulty correctly
determining precipitation patterns around the South Pole. The effects from El
Nino appear to only have a strong presence in the Western and Equatorial Pacific.
Both datasets generally demonstrated positive trends in rainfall across latitudes with
negative trends occurring near the equator. Extreme events appear to have larger,
more positive trends than the annual averages.
